diff --git a/DIRIGO.md b/DIRIGO.md index 6fa56f6d162..47fa3ac4ec1 100644 --- a/DIRIGO.md +++ b/DIRIGO.md @@ -104,6 +104,7 @@ Full write-up: [`dirigo-results/notes/improvements-2026-11-08.md`](dirigo-result | `standard-benchmark/` | the standard-protocol result folder: `README.md`, `results.json`, `outputs.jsonl`, `config.json`, template and corpus provenance, plus the operator's hardware correction | | `community-report/` | the three-build comparison (0.2.11 / 0.2.12 / stock 0.2.12): README, per-request JSON, the two probe scripts | | `guidellm/` | GuideLLM 0.8.1 results: 0.2.11, 0.2.12, 0.2.12-with-shadow, and the summaries | +| `0.2.13-port/` | fork vs **stock v0.2.13**: same battery both sides, GuideLLM side by side, the chart, the raw JSON, and the correction log from re-deriving every number | | `payload-0.2.11/` | the previous engine payload's record (MANIFEST, ARCHS, release notes, GuideLLM results, selftest) migrated from the old payload repo; the binaries themselves live with the payload, not in git | ## Run it @@ -139,5 +140,6 @@ branches on this fork: | `bench/arc-pro-b70-0212` | #5522 — the community-format benchmark report (ready) | | `bench/arc-pro-b70-standard-1` | #5556 — the standard-protocol pilot on this card (ready) | | `tests/hip-ordinal-host-independent` | #5602 — `test_hip_ordinal` without the host's AMD topology (ready) | +| `port/0.2.13` | the 0.2.12 carry replayed onto **v0.2.13**, built and measured against stock v0.2.13 — report in [`dirigo-results/0.2.13-port/`](dirigo-results/0.2.13-port/) | `main` on this fork stays a mirror of upstream; this branch is where Dirigo's verified state lives. diff --git a/README.md b/README.md index 421f4429692..7eb8f408a77 100644 --- a/README.md +++ b/README.md @@ -69,6 +69,7 @@ changes are much smaller and server-side; they are in [What this fork changes](# | Check my hardware before downloading anything | [What you need](#what-you-need) · [which model fits](docs/MODELS.md#pick-by-memory) | 5 min | | Understand the engine | [How it works](docs/HOW_IT_WORKS.md) · [technical reference](docs/DETAILS.md) | — | | Read the evidence for the numbers | [`DIRIGO.md`](DIRIGO.md) · [`dirigo-results/`](dirigo-results/) | — | +| See how it compares to stock 0.2.13 | [Measured side by side](#what-it-is-worth-measured-this-fork-vs-stock-strata-v0213) | — | | All guides, page by page | [Documentation index](docs/README.md) | — | ## What you need @@ -203,8 +204,35 @@ change; with none of them enabled the server behaves as stock. | retune between requests | change engine settings on a live server — no restart, no reload | | per-request draft depth | a client can set its own speculation depth for one request | -Measured effect, limits and the full list: [`DIRIGO.md`](DIRIGO.md). The parts that belong upstream are open -as separate branches listed there. +### What it is worth, measured: this fork vs stock Strata v0.2.13 + +Same card, same engine version (0.1.59), same model and pack, same server config, same requests. GuideLLM 0.8.1, +512 tokens in / 128 out, one pass per arm. + +

+ Time to first token, Dirigo 0.2.13 vs stock 0.2.13 on an Intel Arc Pro B70: 739 vs 949 ms at one stream, 2622 vs 3163 at two, 6688 vs 7500 at four, 9641 vs 9659 at eight. Engine-level prefill and decode are within 1.1 percent on all eight legs. +

+ +| | this fork | stock v0.2.13 | difference | +| --- | ---: | ---: | ---: | +| First token, 1 stream | **739 ms** | 949 ms | **−22.1 %** | +| First token, 2 streams | **2,622 ms** | 3,163 ms | **−17.1 %** | +| First token, 4 streams | **6,688 ms** | 7,500 ms | **−10.8 %** | +| First token, 8 streams | 9,641 ms | 9,659 ms | equal | +| Requests finished per 45 s window, 1–8 streams | 22 / 22 / 22 / 23 | 21 / 20 / 19 / 21 | +1 / +2 / +3 / +2 | +| Prefill and decode, direct to the engine, 8 legs | — | — | parity, largest gap 1.1 % | + +**The engine is the same speed; the server answers sooner.** On a stream of unique prompts the router serves with +the prompt cache off, so there is no pool work between the request and the first token; a conversation switches it +back on, which is what stock always does. That is also why 8 streams show no gap — queueing dominates there. + +> **Measured on:** Intel Arc Pro B70 32 GB, Ryzen 7 7700X, Qwen3.8-Flash-Next Coder IQ1_M, engine 0.1.59 on both +> sides, 2026-11-09. One pass per arm in one session; positional drift in this rig is 2–4 %, so the 10.8–22.1 % +> first-token gaps are larger than the drift and the one-request throughput difference at 1 stream is not. +> Errors: 0 in both arms. Full report, raw JSON and the script that recomputes every figure: +> [`dirigo-results/0.2.13-port/`](dirigo-results/0.2.13-port/). + +The parts that belong upstream are open as separate branches listed in [`DIRIGO.md`](DIRIGO.md). ## Repository map @@ -219,7 +247,7 @@ as separate branches listed there. | `tools/` | pack building, calibration and measurement tools | | `bench/` | benchmark protocol and community results | | `docs/` | all guides — [index](docs/README.md) | -| `dirigo-results/` | this fork's measurements, benchmark results and the carry patch | +| `dirigo-results/` | this fork's measurements: the 0.2.12 evidence, the 0.2.13 fork-vs-stock report and chart, the carry patch | ## Licence diff --git a/dirigo-results/0.2.13-port/README.md b/dirigo-results/0.2.13-port/README.md new file mode 100644 index 00000000000..91e48b31631 --- /dev/null +++ b/dirigo-results/0.2.13-port/README.md @@ -0,0 +1,192 @@ +# Dirigo 0.2.13 port vs stock 0.2.13 — same battery, Arc Pro B70 + +**Date:** 2026-11-09 · numbers re-derived from the raw JSON on 2026-11-13 · **Operator:** rwkeyes (Dirigo Agents LLC) · +**Report kind:** community benchmark, fork-vs-stock + +This is not a stock benchmark run: it measures **the Dirigo port of 0.2.13 against the tagged v0.2.13 tree**, with +the same tests on both sides. It answers two questions on one rig: did carrying the fork onto 0.2.13 cost anything on +the engine, and what is the fork's server-side carry worth on this hardware. + +![Dirigo 0.2.13 vs stock v0.2.13, same card](chart.svg) + +Every figure in the chart is recomputed from the JSON files in this folder by `scripts/make-chart.py`. + +## Headline + +| | Dirigo port | stock v0.2.13 | difference | +| --- | ---: | ---: | ---: | +| Time to first token, 1 stream (median) | **739 ms** | 949 ms | **−22.1 %** | +| Time to first token, 2 streams | **2,622 ms** | 3,163 ms | **−17.1 %** | +| Time to first token, 4 streams | **6,688 ms** | 7,500 ms | **−10.8 %** | +| Time to first token, 8 streams | 9,641 ms | 9,659 ms | −0.2 % (equal) | +| Requests finished in a fixed 45 s window, 1 / 2 / 4 / 8 streams | 22 / 22 / 22 / 23 | 21 / 20 / 19 / 21 | +1 / +2 / +3 / +2 | +| Prefill and decode, direct to the engine, 8 legs | — | — | **parity, largest gap 1.1 %** | +| Unit suite | **1,537 OK** | 1,512, 1 failure | — | +| 24-token extraction | **answers** | truncates | — | + +Read it as: **the engine is the same speed; the server answers sooner.** On a stream of unique prompts the fork's +router serves with the prompt cache off, so there is no pool work between the request and the first token. A +conversation switches the cache back on, which is what stock always does. + +## Hardware and software + +| | | +| --- | --- | +| GPU | Intel Arc Pro B70 32 GB (Battlemage G31, `8086:e223`), AOT target `bmg-g31` | +| Display | AMD Raphael iGPU — the Arc is compute-only | +| CPU | AMD Ryzen 7 7700X (8 cores) | +| Kernel | 7.0.0-42-generic | +| Toolkit | oneAPI compiler 2026.2 | +| Model | `qwen3.8-flash-next-coder-iq1_m` (IQ1_M + mine expert pack) | +| Engine | **0.1.59** on both sides, ggml pin `3cf0325` | + +Both trees were built with the same script, the same flags and the same pinned ggml: + +| tree | ref | commits over tag | engine binary | +|---|---|---|---| +| dirigo | `release/0.2.13` @ `3512b4cc` | 2 (38 files, +5,062/−264) | 99,889,376 B (`a44a41938f2aeda0…`) | +| stock | tag `v0.2.13` — annotated tag object `fb57f747`, commit `d2f0964` | — | 99,897,992 B (`7b5439980466a569…`) | + +The three commits after `3512b4cc` on the `port/0.2.13` branch add this report and nothing else: `git diff +--name-only 3512b4cc origin/port/0.2.13` lists files under `bench/` only. + +Only one engine ran at a time, with the card to itself. Both server configs were identical apart from paths: same +pack, same `args`, `conv_route: "on"`, `thinking_policy: "on"`, and the two `data/expert-profile-mine.bin` files are +byte-identical (`sha256 7bd9a9c35d65b68b…`). The stock server ignores the fork's lever keys rather than erroring on +them. Full details in `provenance.json`. + +## 1. Unit suites + +| | dirigo | stock | +|---|---|---| +| tests | **1,537** | 1,512 | +| result | **`OK (skipped=17)`** | `FAILED (failures=1, skipped=17)` | +| failure | — | `test_hip_ordinal`: `'0,1' != '1,0'` | + +Both were run with `python -m unittest discover -s serve -p 'test_*.py'` (logs in `suites/`). + +The stock failure is a test that reads the host: when the machine has an integrated Radeon, `HIP_IGPU_ARCHS` makes +`ordered_gpus()` return `0,1` where the test expects `1,0`. It is fixed in the dirigo tree through the existing seam +(stub the topology probes, pin the reorder) — upstream PR +[Niko1221/Strata#5602](https://github.com/Niko1221/Strata/pull/5602). The 25-test gap is the fork's own test files +(`test_spec_window`, `test_thinking_policy`, `test_conv_router`, `test_tune`, …): 12 files, +2,579 lines under `serve/`. + +## 2. Behaviour probes + +| probe | dirigo | stock | +|---|---|---| +| minefield, 5 traps (capital, decimal, nonempty, count_r, reverse) | **5/5** | 5/5 | +| 24-token extraction — "Invoice INV-7 dated 9 June 2024 → ISO date" | **`2024-06-09`**, 0 reasoning chars | **`''`**, `finish_reason: length` | +| `GET /v1/tuning` | 200 | 404 | +| `POST /v1/tune {"spec_min_p": 0.5}` | 200 `{"applied": {"spec_min_p": 0.5}, "refused": []}` | 404 | +| needle at 7,855 tokens, marker `ZQ-7731-KX` | 2/2 correct | 2/2 correct | +| 165,779-token request | 400, `request exceeds the context window … requests are never truncated` | 400, identical wording | +| code leg (list reversal) | complete, closing fence, `finish: stop` | complete, closing fence, `finish: stop` | + +The extraction row carries the user-visible weight: given 24 tokens, stock spends all of them on reasoning and +returns nothing, while the fork's short-answer policy answers directly. Same engine, same weights, same request. + +## 3. Prefill / decode battery + +Medians of two interleaved passes per arm (order dirigo, stock, stock, dirigo) so drift lands on both. Recomputed +from the exact medians in `battery/*.json`: + +| leg | prompt tokens | dirigo prefill / decode (tok/s) | stock prefill / decode | Δ prefill | Δ decode | +|---|---|---|---|---|---| +| warmup | 15 | 76.0 / 25.4 | 75.8 / 25.2 | +0.2 % | +0.4 % | +| code | 32 | 59.6 / 114.8 | 60.1 / 114.7 | −0.9 % | +0.1 % | +| fresh | 4,210 | 1332.8 / 81.2 | 1333.6 / 81.0 | −0.1 % | +0.1 % | +| fresh | 8,830 | 1411.9 / 85.5 | 1409.2 / 85.4 | +0.2 % | +0.2 % | +| follow-up | 4,451 | 326.9 / 75.8 | 327.1 / 75.7 | −0.1 % | +0.1 % | +| follow-up | 9,071 | 274.4 / 85.9 | 275.2 / 85.7 | −0.3 % | +0.2 % | +| needle | 7,855 | 1435.6 / 97.5 | 1438.0 / 97.3 | −0.2 % | +0.2 % | +| long | 30,178 | 1819.4 / 48.8 | 1818.0 / 48.2 | +0.1 % | +1.1 % | + +Δ is the fork relative to stock. Engine throughput is the same on both sides within 1.1 % on every leg. That is the +expected result — the carry's engine change is the `TUNE` control line, which is not on the measured path — and it is +what lets this report claim the fork costs nothing to run. + +## 4. GuideLLM + +GuideLLM 0.8.1, `synthetic_text` 512 in / 128 out, concurrent profile `streams 1,2,4,8`, 45 s per point, dirigo then +stock in the same session. + +| streams | TTFT dirigo | TTFT stock | Δ TTFT | requests finished dirigo / stock | output tok/s in window dirigo / stock | cancelled at 45 s | +|---|---|---|---|---|---|---| +| 1 | **739 ms** | 949 ms | **−22.1 %** | 22 / 21 | 62.6 / 59.7 | 4 / 4 | +| 2 | **2,622 ms** | 3,163 ms | **−17.1 %** | 22 / 20 | 62.6 / 56.9 | 5 / 5 | +| 4 | **6,688 ms** | 7,500 ms | **−10.8 %** | 22 / 19 | 62.6 / 54.0 | 8 / 8 | +| 8 | 9,641 ms | 9,659 ms | −0.2 % | 23 / 21 | 65.4 / 59.7 | 14 / 14 | + +Δ TTFT is the fork relative to stock; lower is better. Errored requests: **0 in both arms** at every level. Three +reading notes, because the columns are easy to misread: + +- **"output tok/s in window" is finished work, not a token-rate measurement.** Every finished request produced + exactly 128 output tokens (the cap), so the figure is `requests × 128 / 45 s`. One request is 4.8 % of a window: + the 1-stream difference (+4.9 %) sits at that granularity limit, the 2–4-stream differences (+10.0 %, +15.9 %) do not. +- **The cancelled count is identical on both arms** (4/5/8/14). Those are requests still streaming when the 45 s cap + closed the window, not failures. +- **8 streams shows no TTFT gap** because queueing dominates there: both servers hold one request at a time, so the + time to first token is mostly waiting for the queue. + +Why the gap exists: both configs carry `conv_route: "on"`, and the stock server ignores that key. A run of unique +prompts is the traffic the fork's router classifies as one-shot and serves with the prompt cache **off**; stock keeps +the cache on and pays pool work before the first token. The same switch measured on 0.2.12 put `conv_route: on` at +727 ms against 934 ms for `shadow` (which never switches the cache off) at one stream. + +Caveat carried honestly: one pass per arm in one session. The companion 0.2.12→0.2.13 run put positional drift at +2–4 % in the same rig, so the 1–4-stream TTFT gaps (10.8–22.1 %) are larger than the drift and the 1-stream request +count is not. + +## 5. Determinism (why the fork did not move to 0.2.13's headline fix) + +v0.2.13's notes advertise that Intel Arc now returns the same answer for the same prompt (their bf16 prompt products +moved off oneMKL onto a fixed-order kernel: "50 of 50 identical on an A750, against 3–5 different in 5 runs before"). +On this card that was **already true on 0.2.12**: with greedy decoding, three prompts repeated 10× and a 4,200-token +prompt repeated 6× gave **1 distinct answer each** on both engines (`determinism/`). So the release's headline Arc win +is not reproducible here, and this report does not claim it. + +## Corrections after re-deriving the numbers (2026-11-13) + +The first version of this report was written from a generator's summary. Recomputing everything from +`guidellm/*.json` and `battery/*.json` reproduced the battery table and found three things to fix: + +1. **"errored 22 / 21" was wrong.** Those are the *successful* request counts. The scheduler state says + `errored_requests: 0` at every level in both arms, and `cancelled_requests: 4/5/8/14` — identical on both sides. + The column now says what it is. +2. **`tok/s` was the mean of per-iteration samples**, not throughput: 62.58 at 1, 2 and 4 streams is the same decode + loop averaged three times, not three measurements that agree. The table now shows finished requests and the tokens + they carry in the fixed window, with the 4.8 % granularity stated. +3. **The stock ref was labelled "tag commit `fb57f747`".** That is the annotated **tag object**; the commit it points + at is `d2f0964`. Both are now given. + +Two more numbers were corrected in passing: the battery deltas are now computed from the exact medians rather than +from the rounded cells (warmup decode +0.4 % not +0.8 %, code prefill −0.9 % not −0.8 %, long decode +1.1 % not ++1.2 %). + +One claim is **not** supported by anything shipped here, so it is gone: that every window verified "12,288 of 12,288 +expert slots pre-filled and 0 experts over PCIe". The operator's window launcher printed it; no log excerpt was kept, +so it cannot be checked from this folder. + +## What this does and does not show + +Shows: the fork's 0.2.13 tree builds and passes its suite where the stock tree has one host-dependent failure; at +identical engine throughput it answers short requests that stock truncates, exposes two runtime levers stock does not +have, and is **10.8–22.1 % sooner to first token at 1–4 concurrent streams** on this card, with the same settings and +the same model. + +Does not show: anything about other GPUs or other engines; a full statistical treatment of the GuideLLM gap (one pass +per arm); any benefit from 0.2.13's bf16 determinism change, which this hardware did not need; or a speed win for +conversational traffic, where the fork turns the cache back on and behaves like stock. + +## Reproducing + +`scripts/` holds the harnesses used, unmodified apart from path placeholders: + +- `strata-0213-ab.sh` — the four-window battery (`bench_prefill` + longprobe per window, order d s s d) +- `strata-guidellm-0213-ab.sh` — the GuideLLM two-arm run +- `strata-determinism-probe.py` — the repeated-greedy-prompt probe +- `make-chart.py` — recomputes every figure in `chart.svg` from this folder's JSON: `BENCH=. python3 scripts/make-chart.py` + +Paths that were absolute on the operator's box appear as `` and ``. The engine logs and configs are not +shipped: a config names the pack and the launch flags, and the pack is a build artifact. diff --git a/dirigo-results/0.2.13-port/battery/bench-d0213-p1.json b/dirigo-results/0.2.13-port/battery/bench-d0213-p1.json new file mode 100644 index 00000000000..a2940b97c04 --- /dev/null +++ b/dirigo-results/0.2.13-port/battery/bench-d0213-p1.json @@ -0,0 +1,263 @@ +[ + { + "label": "d0213-p1", + "kind": "warmup", + "trial": 0, + "wall_s": 0.29474986499917577, + "metrics": { + "prompt_tokens": 15.0, + "reused": 0.0, + "fresh": 15.0, + "prefill_ms": 203.0, + "prefill_tps": 73.9, + "generated": 2.0, + "decode_ms": 79.0, + "decode_tps": 25.4 + }, + "usage": { + "prompt_tokens": 15, + "completion_tokens": 2, + "total_tokens": 17, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "stop", + "message": { + "role": "assistant", + "content": "READY" + } + }, + { + "label": "d0213-p1", + "kind": "fresh", + "trial": 1, + "wall_s": 4.756453342000896, + "metrics": { + "prompt_tokens": 4210.0, + "reused": 0.0, + "fresh": 4210.0, + "prefill_ms": 3127.0, + "prefill_tps": 1346.2, + "generated": 128.0, + "decode_ms": 1624.0, + "decode_tps": 78.8 + }, + "usage": { + "prompt_tokens": 4210, + "completion_tokens": 128, + "total_tokens": 4338, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of 140 exported functions, named `rule0` through `rule139`, each accepting a single numeric argument `x`. Every function follows an identical logical pattern: it checks if the input `x` is strictly equal to the integer value embedded in its name (denoted as $n$); if this condition is true, the function returns $x + n + 1$, and if false, it returns $x - n$. Consequently, each specific rule acts as a conditional modifier that either increments the input by one more than its index or decrements it by its index, depending" + } + }, + { + "label": "d0213-p1", + "kind": "followup", + "trial": 1, + "wall_s": 2.1124220450001303, + "metrics": { + "prompt_tokens": 4451.0, + "reused": 4337.0, + "fresh": 114.0, + "prefill_ms": 421.0, + "prefill_tps": 270.6, + "generated": 128.0, + "decode_ms": 1687.0, + "decode_tps": 75.9 + }, + "usage": { + "prompt_tokens": 4451, + "completion_tokens": 128, + "total_tokens": 4579, + "prompt_tokens_details": { + "cached_tokens": 4337 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact integer equality check** (`x === n`), which acts as a strict gatekeeper for the \"increment\" branch. For any function `ruleN`, if the input `x` is exactly equal to `N`, the function returns `N + 1` (a positive offset); otherwise, it returns `x - N`. This creates a discontinuity in behavior: inputs just below or above `N` result in subtraction, while `N` itself results in addition.\n\nThe **smallest useful regression test** targets this specific equality condition because it is the only case where the output" + } + }, + { + "label": "d0213-p1", + "kind": "fresh", + "trial": 2, + "wall_s": 7.736927303001721, + "metrics": { + "prompt_tokens": 8830.0, + "reused": 0.0, + "fresh": 8830.0, + "prefill_ms": 6248.0, + "prefill_tps": 1413.3, + "generated": 128.0, + "decode_ms": 1483.0, + "decode_tps": 86.3 + }, + "usage": { + "prompt_tokens": 8830, + "completion_tokens": 128, + "total_tokens": 8958, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of exported functions named `rule0` through `rule279`, each accepting a single numeric argument `x`. Every function follows an identical logical structure: it checks if the input `x` is strictly equal to the integer value embedded in its name (e.g., `rule5` checks for `5`). If this condition is true, the function returns `x + 1`; otherwise, it returns `x - 1`. Consequently, each specific rule acts as a conditional modifier that increments the input by one only when the input matches the rule's index, and decrements the input by one" + } + }, + { + "label": "d0213-p1", + "kind": "followup", + "trial": 2, + "wall_s": 1.9115473849997215, + "metrics": { + "prompt_tokens": 9071.0, + "reused": 8958.0, + "fresh": 113.0, + "prefill_ms": 409.0, + "prefill_tps": 276.4, + "generated": 128.0, + "decode_ms": 1498.0, + "decode_tps": 85.4 + }, + "usage": { + "prompt_tokens": 9071, + "completion_tokens": 128, + "total_tokens": 9199, + "prompt_tokens_details": { + "cached_tokens": 8958 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact match condition** where `x` equals the rule's index (e.g., calling `rule5(5)`), which triggers the increment branch (`x + 1`) rather than the decrement branch (`x - 1`). This distinguishes the function from a simple arithmetic operation and validates the core logic.\n\nThe **smallest useful regression test** is:\n```javascript\nassert(rule0(0) === 1); // Boundary: x=0 matches rule index, returns 0+1=1\nassert(rule0(-1) === -2); // Negative input:" + } + }, + { + "label": "d0213-p1", + "kind": "fresh", + "trial": 3, + "wall_s": 4.706525806002901, + "metrics": { + "prompt_tokens": 4210.0, + "reused": 0.0, + "fresh": 4210.0, + "prefill_ms": 3182.0, + "prefill_tps": 1323.1, + "generated": 128.0, + "decode_ms": 1520.0, + "decode_tps": 84.2 + }, + "usage": { + "prompt_tokens": 4210, + "completion_tokens": 128, + "total_tokens": 4338, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of 140 exported functions, named `rule0` through `rule139`, each accepting a single numeric argument `x`. Every function follows an identical logical structure: it checks if the input `x` is strictly equal to the integer value embedded in its name (denoted as $n$). If this condition is true, the function returns $x + n + 1$; otherwise, it returns $x - n$. Consequently, for any given function `ruleN`, the output is $2N + 1$ when the input matches $N$, and $x -" + } + }, + { + "label": "d0213-p1", + "kind": "followup", + "trial": 3, + "wall_s": 2.330775853999512, + "metrics": { + "prompt_tokens": 4451.0, + "reused": 4203.0, + "fresh": 248.0, + "prefill_ms": 643.0, + "prefill_tps": 385.4, + "generated": 128.0, + "decode_ms": 1684.0, + "decode_tps": 76.0 + }, + "usage": { + "prompt_tokens": 4451, + "completion_tokens": 128, + "total_tokens": 4579, + "prompt_tokens_details": { + "cached_tokens": 4203 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact match condition** where `x === n` (the function's index), because this triggers the unique \"addition\" branch (`x + n + 1`) rather than the default \"subtraction\" branch (`x - n`). This is critical because it represents the only point where the function's behavior deviates from a simple linear transformation, and it is the only case where the output is positive and larger than the input.\n\nThe **smallest useful regression test** should verify this boundary condition for at least one representative function (e.g., `rule0` or `rule13" + } + }, + { + "label": "d0213-p1", + "kind": "fresh", + "trial": 4, + "wall_s": 7.742915714999981, + "metrics": { + "prompt_tokens": 8830.0, + "reused": 0.0, + "fresh": 8830.0, + "prefill_ms": 6240.0, + "prefill_tps": 1415.2, + "generated": 128.0, + "decode_ms": 1497.0, + "decode_tps": 85.5 + }, + "usage": { + "prompt_tokens": 8830, + "completion_tokens": 128, + "total_tokens": 8958, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of exported functions named `rule0` through `rule279`, each accepting a single numeric argument `x`. Every function follows an identical logical pattern: it checks if the input `x` is strictly equal to the integer value embedded in its name (e.g., `rule5` checks for `5`). If this condition is true, the function returns `x + 1`; otherwise, it returns `x - 1`. Consequently, each specific rule acts as a conditional modifier that increments the input by one only when the input matches the rule's index, and decrements the input by one" + } + }, + { + "label": "d0213-p1", + "kind": "followup", + "trial": 4, + "wall_s": 1.8892600660001335, + "metrics": { + "prompt_tokens": 9071.0, + "reused": 8958.0, + "fresh": 113.0, + "prefill_ms": 412.0, + "prefill_tps": 274.2, + "generated": 128.0, + "decode_ms": 1473.0, + "decode_tps": 86.9 + }, + "usage": { + "prompt_tokens": 9071, + "completion_tokens": 128, + "total_tokens": 9199, + "prompt_tokens_details": { + "cached_tokens": 8958 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact match condition** where `x` equals the rule's index (e.g., `rule5(5)`), which triggers the increment branch (`x + 1`) rather than the decrement branch (`x - 1`). This distinguishes the function from a simple arithmetic operation and validates the core logic.\n\nThe **smallest useful regression test** is:\n```javascript\nassert(rule0(0) === 1); // Boundary: x=0 matches rule index, returns 0+1=1\nassert(rule0(-1) === -2); // Negative input: does" + } + } +] diff --git a/dirigo-results/0.2.13-port/battery/bench-d0213-p2.json b/dirigo-results/0.2.13-port/battery/bench-d0213-p2.json new file mode 100644 index 00000000000..7364c985639 --- /dev/null +++ b/dirigo-results/0.2.13-port/battery/bench-d0213-p2.json @@ -0,0 +1,263 @@ +[ + { + "label": "d0213-p2", + "kind": "warmup", + "trial": 0, + "wall_s": 0.2841804250019777, + "metrics": { + "prompt_tokens": 15.0, + "reused": 0.0, + "fresh": 15.0, + "prefill_ms": 192.0, + "prefill_tps": 78.1, + "generated": 2.0, + "decode_ms": 79.0, + "decode_tps": 25.3 + }, + "usage": { + "prompt_tokens": 15, + "completion_tokens": 2, + "total_tokens": 17, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "stop", + "message": { + "role": "assistant", + "content": "READY" + } + }, + { + "label": "d0213-p2", + "kind": "fresh", + "trial": 1, + "wall_s": 4.773112056001992, + "metrics": { + "prompt_tokens": 4210.0, + "reused": 0.0, + "fresh": 4210.0, + "prefill_ms": 3136.0, + "prefill_tps": 1342.6, + "generated": 128.0, + "decode_ms": 1633.0, + "decode_tps": 78.4 + }, + "usage": { + "prompt_tokens": 4210, + "completion_tokens": 128, + "total_tokens": 4338, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of 140 exported functions, named `rule0` through `rule139`, each accepting a single numeric argument `x`. Every function follows an identical logical pattern: it checks if the input `x` is strictly equal to the integer value embedded in its name (denoted as $n$); if this condition is true, the function returns $x + n + 1$, and if false, it returns $x - n$. Consequently, each specific rule acts as a conditional modifier that either increments the input by one more than its index or decrements it by its index, depending" + } + }, + { + "label": "d0213-p2", + "kind": "followup", + "trial": 1, + "wall_s": 2.118210913002258, + "metrics": { + "prompt_tokens": 4451.0, + "reused": 4337.0, + "fresh": 114.0, + "prefill_ms": 421.0, + "prefill_tps": 270.8, + "generated": 128.0, + "decode_ms": 1693.0, + "decode_tps": 75.6 + }, + "usage": { + "prompt_tokens": 4451, + "completion_tokens": 128, + "total_tokens": 4579, + "prompt_tokens_details": { + "cached_tokens": 4337 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact integer equality check** (`x === n`), which acts as a strict gatekeeper for the \"increment\" branch. For any function `ruleN`, if the input `x` is exactly equal to `N`, the function returns `N + 1` (a positive offset); otherwise, it returns `x - N`. This creates a discontinuity in behavior: inputs just below or above `N` result in subtraction, while `N` itself results in addition.\n\nThe **smallest useful regression test** targets this specific equality condition because it is the only case where the output" + } + }, + { + "label": "d0213-p2", + "kind": "fresh", + "trial": 2, + "wall_s": 7.761147752000397, + "metrics": { + "prompt_tokens": 8830.0, + "reused": 0.0, + "fresh": 8830.0, + "prefill_ms": 6260.0, + "prefill_tps": 1410.5, + "generated": 128.0, + "decode_ms": 1495.0, + "decode_tps": 85.6 + }, + "usage": { + "prompt_tokens": 8830, + "completion_tokens": 128, + "total_tokens": 8958, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of exported functions named `rule0` through `rule279`, each accepting a single numeric argument `x`. Every function follows an identical logical structure: it checks if the input `x` is strictly equal to the integer value embedded in its name (e.g., `rule5` checks for `5`). If this condition is true, the function returns `x + 1`; otherwise, it returns `x - 1`. Consequently, each specific rule acts as a conditional modifier that increments the input by one only when the input matches the rule's index, and decrements the input by one" + } + }, + { + "label": "d0213-p2", + "kind": "followup", + "trial": 2, + "wall_s": 1.9217615269990347, + "metrics": { + "prompt_tokens": 9071.0, + "reused": 8958.0, + "fresh": 113.0, + "prefill_ms": 412.0, + "prefill_tps": 274.5, + "generated": 128.0, + "decode_ms": 1506.0, + "decode_tps": 85.0 + }, + "usage": { + "prompt_tokens": 9071, + "completion_tokens": 128, + "total_tokens": 9199, + "prompt_tokens_details": { + "cached_tokens": 8958 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact match condition** where `x` equals the rule's index (e.g., calling `rule5(5)`), which triggers the increment branch (`x + 1`) rather than the decrement branch (`x - 1`). This distinguishes the function from a simple arithmetic operation and validates the core logic.\n\nThe **smallest useful regression test** is:\n```javascript\nassert(rule0(0) === 1); // Boundary: x=0 matches rule index, returns 0+1=1\nassert(rule0(-1) === -2); // Negative input:" + } + }, + { + "label": "d0213-p2", + "kind": "fresh", + "trial": 3, + "wall_s": 4.7231932830000005, + "metrics": { + "prompt_tokens": 4210.0, + "reused": 0.0, + "fresh": 4210.0, + "prefill_ms": 3186.0, + "prefill_tps": 1321.3, + "generated": 128.0, + "decode_ms": 1533.0, + "decode_tps": 83.5 + }, + "usage": { + "prompt_tokens": 4210, + "completion_tokens": 128, + "total_tokens": 4338, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of 140 exported functions, named `rule0` through `rule139`, each accepting a single numeric argument `x`. Every function follows an identical logical structure: it checks if the input `x` is strictly equal to the integer value embedded in its name (denoted as $n$). If this condition is true, the function returns $x + n + 1$; otherwise, it returns $x - n$. Consequently, for any given function `ruleN`, the output is $2N + 1$ when the input matches $N$, and $x -" + } + }, + { + "label": "d0213-p2", + "kind": "followup", + "trial": 3, + "wall_s": 2.344145770999603, + "metrics": { + "prompt_tokens": 4451.0, + "reused": 4203.0, + "fresh": 248.0, + "prefill_ms": 648.0, + "prefill_tps": 383.0, + "generated": 128.0, + "decode_ms": 1693.0, + "decode_tps": 75.6 + }, + "usage": { + "prompt_tokens": 4451, + "completion_tokens": 128, + "total_tokens": 4579, + "prompt_tokens_details": { + "cached_tokens": 4203 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact match condition** where `x === n` (the function's index), because this triggers the unique \"addition\" branch (`x + n + 1`) rather than the default \"subtraction\" branch (`x - n`). This is critical because it represents the only point where the function's behavior deviates from a simple linear transformation, and it is the only case where the output is positive and larger than the input.\n\nThe **smallest useful regression test** should verify this boundary condition for at least one representative function (e.g., `rule0` or `rule13" + } + }, + { + "label": "d0213-p2", + "kind": "fresh", + "trial": 4, + "wall_s": 7.772057350000978, + "metrics": { + "prompt_tokens": 8830.0, + "reused": 0.0, + "fresh": 8830.0, + "prefill_ms": 6261.0, + "prefill_tps": 1410.4, + "generated": 128.0, + "decode_ms": 1505.0, + "decode_tps": 85.0 + }, + "usage": { + "prompt_tokens": 8830, + "completion_tokens": 128, + "total_tokens": 8958, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of exported functions named `rule0` through `rule279`, each accepting a single numeric argument `x`. Every function follows an identical logical pattern: it checks if the input `x` is strictly equal to the integer value embedded in its name (e.g., `rule5` checks for `5`). If this condition is true, the function returns `x + 1`; otherwise, it returns `x - 1`. Consequently, each specific rule acts as a conditional modifier that increments the input by one only when the input matches the rule's index, and decrements the input by one" + } + }, + { + "label": "d0213-p2", + "kind": "followup", + "trial": 4, + "wall_s": 1.896511504000955, + "metrics": { + "prompt_tokens": 9071.0, + "reused": 8958.0, + "fresh": 113.0, + "prefill_ms": 412.0, + "prefill_tps": 274.4, + "generated": 128.0, + "decode_ms": 1481.0, + "decode_tps": 86.4 + }, + "usage": { + "prompt_tokens": 9071, + "completion_tokens": 128, + "total_tokens": 9199, + "prompt_tokens_details": { + "cached_tokens": 8958 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact match condition** where `x` equals the rule's index (e.g., `rule5(5)`), which triggers the increment branch (`x + 1`) rather than the decrement branch (`x - 1`). This distinguishes the function from a simple arithmetic operation and validates the core logic.\n\nThe **smallest useful regression test** is:\n```javascript\nassert(rule0(0) === 1); // Boundary: x=0 matches rule index, returns 0+1=1\nassert(rule0(-1) === -2); // Negative input: does" + } + } +] diff --git a/dirigo-results/0.2.13-port/battery/bench-s0213-p1.json b/dirigo-results/0.2.13-port/battery/bench-s0213-p1.json new file mode 100644 index 00000000000..eff55e777b5 --- /dev/null +++ b/dirigo-results/0.2.13-port/battery/bench-s0213-p1.json @@ -0,0 +1,263 @@ +[ + { + "label": "s0213-p1", + "kind": "warmup", + "trial": 0, + "wall_s": 0.2982196350021695, + "metrics": { + "prompt_tokens": 15.0, + "reused": 0.0, + "fresh": 15.0, + "prefill_ms": 206.0, + "prefill_tps": 72.9, + "generated": 2.0, + "decode_ms": 79.0, + "decode_tps": 25.2 + }, + "usage": { + "prompt_tokens": 15, + "completion_tokens": 2, + "total_tokens": 17, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "stop", + "message": { + "role": "assistant", + "content": "READY" + } + }, + { + "label": "s0213-p1", + "kind": "fresh", + "trial": 1, + "wall_s": 4.7622715960023925, + "metrics": { + "prompt_tokens": 4210.0, + "reused": 0.0, + "fresh": 4210.0, + "prefill_ms": 3128.0, + "prefill_tps": 1345.7, + "generated": 128.0, + "decode_ms": 1629.0, + "decode_tps": 78.6 + }, + "usage": { + "prompt_tokens": 4210, + "completion_tokens": 128, + "total_tokens": 4338, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of 140 exported functions, named `rule0` through `rule139`, each accepting a single numeric argument `x`. Every function follows an identical logical pattern: it checks if the input `x` is strictly equal to the integer value embedded in its name (denoted as $n$); if this condition is true, the function returns $x + n + 1$, and if false, it returns $x - n$. Consequently, each specific rule acts as a conditional modifier that either increments the input by one more than its index or decrements it by its index, depending" + } + }, + { + "label": "s0213-p1", + "kind": "followup", + "trial": 1, + "wall_s": 2.116061725999316, + "metrics": { + "prompt_tokens": 4451.0, + "reused": 4337.0, + "fresh": 114.0, + "prefill_ms": 421.0, + "prefill_tps": 270.8, + "generated": 128.0, + "decode_ms": 1691.0, + "decode_tps": 75.7 + }, + "usage": { + "prompt_tokens": 4451, + "completion_tokens": 128, + "total_tokens": 4579, + "prompt_tokens_details": { + "cached_tokens": 4337 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact integer equality check** (`x === n`), which acts as a strict gatekeeper for the \"increment\" branch. For any function `ruleN`, if the input `x` is exactly equal to `N`, the function returns `N + 1` (a positive offset); otherwise, it returns `x - N`. This creates a discontinuity in behavior: inputs just below or above `N` result in subtraction, while `N` itself results in addition.\n\nThe **smallest useful regression test** targets this specific equality condition because it is the only case where the output" + } + }, + { + "label": "s0213-p1", + "kind": "fresh", + "trial": 2, + "wall_s": 7.767041489998519, + "metrics": { + "prompt_tokens": 8830.0, + "reused": 0.0, + "fresh": 8830.0, + "prefill_ms": 6269.0, + "prefill_tps": 1408.4, + "generated": 128.0, + "decode_ms": 1491.0, + "decode_tps": 85.8 + }, + "usage": { + "prompt_tokens": 8830, + "completion_tokens": 128, + "total_tokens": 8958, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of exported functions named `rule0` through `rule279`, each accepting a single numeric argument `x`. Every function follows an identical logical structure: it checks if the input `x` is strictly equal to the integer value embedded in its name (e.g., `rule5` checks for `5`). If this condition is true, the function returns `x + 1`; otherwise, it returns `x - 1`. Consequently, each specific rule acts as a conditional modifier that increments the input by one only when the input matches the rule's index, and decrements the input by one" + } + }, + { + "label": "s0213-p1", + "kind": "followup", + "trial": 2, + "wall_s": 1.9200462249973498, + "metrics": { + "prompt_tokens": 9071.0, + "reused": 8958.0, + "fresh": 113.0, + "prefill_ms": 410.0, + "prefill_tps": 275.7, + "generated": 128.0, + "decode_ms": 1506.0, + "decode_tps": 85.0 + }, + "usage": { + "prompt_tokens": 9071, + "completion_tokens": 128, + "total_tokens": 9199, + "prompt_tokens_details": { + "cached_tokens": 8958 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact match condition** where `x` equals the rule's index (e.g., calling `rule5(5)`), which triggers the increment branch (`x + 1`) rather than the decrement branch (`x - 1`). This distinguishes the function from a simple arithmetic operation and validates the core logic.\n\nThe **smallest useful regression test** is:\n```javascript\nassert(rule0(0) === 1); // Boundary: x=0 matches rule index, returns 0+1=1\nassert(rule0(-1) === -2); // Negative input:" + } + }, + { + "label": "s0213-p1", + "kind": "fresh", + "trial": 3, + "wall_s": 4.711447564997798, + "metrics": { + "prompt_tokens": 4210.0, + "reused": 0.0, + "fresh": 4210.0, + "prefill_ms": 3176.0, + "prefill_tps": 1325.7, + "generated": 128.0, + "decode_ms": 1532.0, + "decode_tps": 83.6 + }, + "usage": { + "prompt_tokens": 4210, + "completion_tokens": 128, + "total_tokens": 4338, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of 140 exported functions, named `rule0` through `rule139`, each accepting a single numeric argument `x`. Every function follows an identical logical structure: it checks if the input `x` is strictly equal to the integer value embedded in its name (denoted as $n$). If this condition is true, the function returns $x + n + 1$; otherwise, it returns $x - n$. Consequently, for any given function `ruleN`, the output is $2N + 1$ when the input matches $N$, and $x -" + } + }, + { + "label": "s0213-p1", + "kind": "followup", + "trial": 3, + "wall_s": 2.3483230439996987, + "metrics": { + "prompt_tokens": 4451.0, + "reused": 4203.0, + "fresh": 248.0, + "prefill_ms": 647.0, + "prefill_tps": 383.5, + "generated": 128.0, + "decode_ms": 1698.0, + "decode_tps": 75.4 + }, + "usage": { + "prompt_tokens": 4451, + "completion_tokens": 128, + "total_tokens": 4579, + "prompt_tokens_details": { + "cached_tokens": 4203 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact match condition** where `x === n` (the function's index), because this triggers the unique \"addition\" branch (`x + n + 1`) rather than the default \"subtraction\" branch (`x - n`). This is critical because it represents the only point where the function's behavior deviates from a simple linear transformation, and it is the only case where the output is positive and larger than the input.\n\nThe **smallest useful regression test** should verify this boundary condition for at least one representative function (e.g., `rule0` or `rule13" + } + }, + { + "label": "s0213-p1", + "kind": "fresh", + "trial": 4, + "wall_s": 7.778016321000905, + "metrics": { + "prompt_tokens": 8830.0, + "reused": 0.0, + "fresh": 8830.0, + "prefill_ms": 6267.0, + "prefill_tps": 1409.0, + "generated": 128.0, + "decode_ms": 1505.0, + "decode_tps": 85.1 + }, + "usage": { + "prompt_tokens": 8830, + "completion_tokens": 128, + "total_tokens": 8958, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of exported functions named `rule0` through `rule279`, each accepting a single numeric argument `x`. Every function follows an identical logical pattern: it checks if the input `x` is strictly equal to the integer value embedded in its name (e.g., `rule5` checks for `5`). If this condition is true, the function returns `x + 1`; otherwise, it returns `x - 1`. Consequently, each specific rule acts as a conditional modifier that increments the input by one only when the input matches the rule's index, and decrements the input by one" + } + }, + { + "label": "s0213-p1", + "kind": "followup", + "trial": 4, + "wall_s": 1.8977562410000246, + "metrics": { + "prompt_tokens": 9071.0, + "reused": 8958.0, + "fresh": 113.0, + "prefill_ms": 412.0, + "prefill_tps": 274.1, + "generated": 128.0, + "decode_ms": 1481.0, + "decode_tps": 86.4 + }, + "usage": { + "prompt_tokens": 9071, + "completion_tokens": 128, + "total_tokens": 9199, + "prompt_tokens_details": { + "cached_tokens": 8958 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact match condition** where `x` equals the rule's index (e.g., `rule5(5)`), which triggers the increment branch (`x + 1`) rather than the decrement branch (`x - 1`). This distinguishes the function from a simple arithmetic operation and validates the core logic.\n\nThe **smallest useful regression test** is:\n```javascript\nassert(rule0(0) === 1); // Boundary: x=0 matches rule index, returns 0+1=1\nassert(rule0(-1) === -2); // Negative input: does" + } + } +] diff --git a/dirigo-results/0.2.13-port/battery/bench-s0213-p2.json b/dirigo-results/0.2.13-port/battery/bench-s0213-p2.json new file mode 100644 index 00000000000..01120c47827 --- /dev/null +++ b/dirigo-results/0.2.13-port/battery/bench-s0213-p2.json @@ -0,0 +1,263 @@ +[ + { + "label": "s0213-p2", + "kind": "warmup", + "trial": 0, + "wall_s": 0.282862235999346, + "metrics": { + "prompt_tokens": 15.0, + "reused": 0.0, + "fresh": 15.0, + "prefill_ms": 190.0, + "prefill_tps": 78.8, + "generated": 2.0, + "decode_ms": 79.0, + "decode_tps": 25.3 + }, + "usage": { + "prompt_tokens": 15, + "completion_tokens": 2, + "total_tokens": 17, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "stop", + "message": { + "role": "assistant", + "content": "READY" + } + }, + { + "label": "s0213-p2", + "kind": "fresh", + "trial": 1, + "wall_s": 4.792847354001424, + "metrics": { + "prompt_tokens": 4210.0, + "reused": 0.0, + "fresh": 4210.0, + "prefill_ms": 3138.0, + "prefill_tps": 1341.4, + "generated": 128.0, + "decode_ms": 1650.0, + "decode_tps": 77.6 + }, + "usage": { + "prompt_tokens": 4210, + "completion_tokens": 128, + "total_tokens": 4338, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of 140 exported functions, named `rule0` through `rule139`, each accepting a single numeric argument `x`. Every function follows an identical logical pattern: it checks if the input `x` is strictly equal to the integer value embedded in its name (denoted as $n$); if this condition is true, the function returns $x + n + 1$, and if false, it returns $x - n$. Consequently, each specific rule acts as a conditional modifier that either increments the input by one more than its index or decrements it by its index, depending" + } + }, + { + "label": "s0213-p2", + "kind": "followup", + "trial": 1, + "wall_s": 2.117771012002777, + "metrics": { + "prompt_tokens": 4451.0, + "reused": 4337.0, + "fresh": 114.0, + "prefill_ms": 422.0, + "prefill_tps": 270.2, + "generated": 128.0, + "decode_ms": 1692.0, + "decode_tps": 75.7 + }, + "usage": { + "prompt_tokens": 4451, + "completion_tokens": 128, + "total_tokens": 4579, + "prompt_tokens_details": { + "cached_tokens": 4337 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact integer equality check** (`x === n`), which acts as a strict gatekeeper for the \"increment\" branch. For any function `ruleN`, if the input `x` is exactly equal to `N`, the function returns `N + 1` (a positive offset); otherwise, it returns `x - N`. This creates a discontinuity in behavior: inputs just below or above `N` result in subtraction, while `N` itself results in addition.\n\nThe **smallest useful regression test** targets this specific equality condition because it is the only case where the output" + } + }, + { + "label": "s0213-p2", + "kind": "fresh", + "trial": 2, + "wall_s": 7.764538708001055, + "metrics": { + "prompt_tokens": 8830.0, + "reused": 0.0, + "fresh": 8830.0, + "prefill_ms": 6265.0, + "prefill_tps": 1409.5, + "generated": 128.0, + "decode_ms": 1494.0, + "decode_tps": 85.7 + }, + "usage": { + "prompt_tokens": 8830, + "completion_tokens": 128, + "total_tokens": 8958, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of exported functions named `rule0` through `rule279`, each accepting a single numeric argument `x`. Every function follows an identical logical structure: it checks if the input `x` is strictly equal to the integer value embedded in its name (e.g., `rule5` checks for `5`). If this condition is true, the function returns `x + 1`; otherwise, it returns `x - 1`. Consequently, each specific rule acts as a conditional modifier that increments the input by one only when the input matches the rule's index, and decrements the input by one" + } + }, + { + "label": "s0213-p2", + "kind": "followup", + "trial": 2, + "wall_s": 1.92023629400137, + "metrics": { + "prompt_tokens": 9071.0, + "reused": 8958.0, + "fresh": 113.0, + "prefill_ms": 410.0, + "prefill_tps": 275.6, + "generated": 128.0, + "decode_ms": 1506.0, + "decode_tps": 85.0 + }, + "usage": { + "prompt_tokens": 9071, + "completion_tokens": 128, + "total_tokens": 9199, + "prompt_tokens_details": { + "cached_tokens": 8958 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact match condition** where `x` equals the rule's index (e.g., calling `rule5(5)`), which triggers the increment branch (`x + 1`) rather than the decrement branch (`x - 1`). This distinguishes the function from a simple arithmetic operation and validates the core logic.\n\nThe **smallest useful regression test** is:\n```javascript\nassert(rule0(0) === 1); // Boundary: x=0 matches rule index, returns 0+1=1\nassert(rule0(-1) === -2); // Negative input:" + } + }, + { + "label": "s0213-p2", + "kind": "fresh", + "trial": 3, + "wall_s": 4.720648042999528, + "metrics": { + "prompt_tokens": 4210.0, + "reused": 0.0, + "fresh": 4210.0, + "prefill_ms": 3183.0, + "prefill_tps": 1322.5, + "generated": 128.0, + "decode_ms": 1533.0, + "decode_tps": 83.5 + }, + "usage": { + "prompt_tokens": 4210, + "completion_tokens": 128, + "total_tokens": 4338, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of 140 exported functions, named `rule0` through `rule139`, each accepting a single numeric argument `x`. Every function follows an identical logical structure: it checks if the input `x` is strictly equal to the integer value embedded in its name (denoted as $n$). If this condition is true, the function returns $x + n + 1$; otherwise, it returns $x - n$. Consequently, for any given function `ruleN`, the output is $2N + 1$ when the input matches $N$, and $x -" + } + }, + { + "label": "s0213-p2", + "kind": "followup", + "trial": 3, + "wall_s": 2.341802208000445, + "metrics": { + "prompt_tokens": 4451.0, + "reused": 4203.0, + "fresh": 248.0, + "prefill_ms": 645.0, + "prefill_tps": 384.3, + "generated": 128.0, + "decode_ms": 1693.0, + "decode_tps": 75.6 + }, + "usage": { + "prompt_tokens": 4451, + "completion_tokens": 128, + "total_tokens": 4579, + "prompt_tokens_details": { + "cached_tokens": 4203 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact match condition** where `x === n` (the function's index), because this triggers the unique \"addition\" branch (`x + n + 1`) rather than the default \"subtraction\" branch (`x - n`). This is critical because it represents the only point where the function's behavior deviates from a simple linear transformation, and it is the only case where the output is positive and larger than the input.\n\nThe **smallest useful regression test** should verify this boundary condition for at least one representative function (e.g., `rule0` or `rule13" + } + }, + { + "label": "s0213-p2", + "kind": "fresh", + "trial": 4, + "wall_s": 7.774717161999433, + "metrics": { + "prompt_tokens": 8830.0, + "reused": 0.0, + "fresh": 8830.0, + "prefill_ms": 6264.0, + "prefill_tps": 1409.7, + "generated": 128.0, + "decode_ms": 1505.0, + "decode_tps": 85.1 + }, + "usage": { + "prompt_tokens": 8830, + "completion_tokens": 128, + "total_tokens": 8958, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The source code defines a series of exported functions named `rule0` through `rule279`, each accepting a single numeric argument `x`. Every function follows an identical logical pattern: it checks if the input `x` is strictly equal to the integer value embedded in its name (e.g., `rule5` checks for `5`). If this condition is true, the function returns `x + 1`; otherwise, it returns `x - 1`. Consequently, each specific rule acts as a conditional modifier that increments the input by one only when the input matches the rule's index, and decrements the input by one" + } + }, + { + "label": "s0213-p2", + "kind": "followup", + "trial": 4, + "wall_s": 1.8934054800010927, + "metrics": { + "prompt_tokens": 9071.0, + "reused": 8958.0, + "fresh": 113.0, + "prefill_ms": 411.0, + "prefill_tps": 274.9, + "generated": 128.0, + "decode_ms": 1478.0, + "decode_tps": 86.6 + }, + "usage": { + "prompt_tokens": 9071, + "completion_tokens": 128, + "total_tokens": 9199, + "prompt_tokens_details": { + "cached_tokens": 8958 + } + }, + "finish_reason": "length", + "message": { + "role": "assistant", + "content": "The most relevant boundary case is the **exact match condition** where `x` equals the rule's index (e.g., `rule5(5)`), which triggers the increment branch (`x + 1`) rather than the decrement branch (`x - 1`). This distinguishes the function from a simple arithmetic operation and validates the core logic.\n\nThe **smallest useful regression test** is:\n```javascript\nassert(rule0(0) === 1); // Boundary: x=0 matches rule index, returns 0+1=1\nassert(rule0(-1) === -2); // Negative input: does" + } + } +] diff --git a/dirigo-results/0.2.13-port/battery/longprobe-d0213-p1.json b/dirigo-results/0.2.13-port/battery/longprobe-d0213-p1.json new file mode 100644 index 00000000000..58b50a53edd --- /dev/null +++ b/dirigo-results/0.2.13-port/battery/longprobe-d0213-p1.json @@ -0,0 +1,87 @@ +[ + { + "label": "d0213-p1", + "leg": "code", + "http": 200, + "wall_s": 1.33, + "metrics": { + "prompt_tokens": 32.0, + "reused": 0.0, + "fresh": 32.0, + "prefill_ms": 533.0, + "prefill_tps": 60.0, + "generated": 90.0, + "decode_ms": 783.0, + "decode_tps": 115.0 + }, + "usage": { + "prompt_tokens": 32, + "completion_tokens": 90, + "total_tokens": 122, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish": "stop", + "content": "```python\nclass ListNode:\n def __init__(self, val=0, next=None):\n self.val = val\n self.next = next\n\ndef reverse_list(head: ListNode) -> ListNode:\n prev = None\n curr = head\n while curr:\n next_node = curr.next\n curr.next = prev\n prev = curr\n curr = next_node\n return prev\n```" + }, + { + "label": "d0213-p1", + "leg": "long", + "http": 200, + "wall_s": 16.61, + "metrics": { + "prompt_tokens": 30178.0, + "reused": 0.0, + "fresh": 30178.0, + "prefill_ms": 16575.0, + "prefill_tps": 1820.7, + "generated": 1.0, + "decode_ms": 21.0, + "decode_tps": 48.8 + }, + "usage": { + "prompt_tokens": 30178, + "completion_tokens": 1, + "total_tokens": 30179, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish": "length", + "content": "Every" + }, + { + "label": "d0213-p1", + "leg": "needle", + "http": 200, + "wall_s": 5.57, + "metrics": { + "prompt_tokens": 7855.0, + "reused": 0.0, + "fresh": 7855.0, + "prefill_ms": 5463.0, + "prefill_tps": 1437.8, + "generated": 10.0, + "decode_ms": 102.0, + "decode_tps": 97.6 + }, + "usage": { + "prompt_tokens": 7855, + "completion_tokens": 10, + "total_tokens": 7865, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish": "stop", + "content": "ZQ-7731-KX" + }, + { + "label": "d0213-p1", + "leg": "overflow", + "http": 400, + "body": "{\"error\": {\"type\": \"invalid_request_error\", \"message\": \"request exceeds the context window: prompt (165779 tokens) leaves no room to answer in the context (131072); requests are never truncated\"}}", + "wall_s": 0.05 + } +] diff --git a/dirigo-results/0.2.13-port/battery/longprobe-d0213-p2.json b/dirigo-results/0.2.13-port/battery/longprobe-d0213-p2.json new file mode 100644 index 00000000000..82537b0849f --- /dev/null +++ b/dirigo-results/0.2.13-port/battery/longprobe-d0213-p2.json @@ -0,0 +1,87 @@ +[ + { + "label": "d0213-p2", + "leg": "code", + "http": 200, + "wall_s": 1.34, + "metrics": { + "prompt_tokens": 32.0, + "reused": 0.0, + "fresh": 32.0, + "prefill_ms": 540.0, + "prefill_tps": 59.2, + "generated": 90.0, + "decode_ms": 785.0, + "decode_tps": 114.7 + }, + "usage": { + "prompt_tokens": 32, + "completion_tokens": 90, + "total_tokens": 122, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish": "stop", + "content": "```python\nclass ListNode:\n def __init__(self, val=0, next=None):\n self.val = val\n self.next = next\n\ndef reverse_list(head: ListNode) -> ListNode:\n prev = None\n curr = head\n while curr:\n next_node = curr.next\n curr.next = prev\n prev = curr\n curr = next_node\n return prev\n```" + }, + { + "label": "d0213-p2", + "leg": "long", + "http": 200, + "wall_s": 16.63, + "metrics": { + "prompt_tokens": 30178.0, + "reused": 0.0, + "fresh": 30178.0, + "prefill_ms": 16599.0, + "prefill_tps": 1818.1, + "generated": 1.0, + "decode_ms": 20.0, + "decode_tps": 48.8 + }, + "usage": { + "prompt_tokens": 30178, + "completion_tokens": 1, + "total_tokens": 30179, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish": "length", + "content": "Every" + }, + { + "label": "d0213-p2", + "leg": "needle", + "http": 200, + "wall_s": 5.59, + "metrics": { + "prompt_tokens": 7855.0, + "reused": 0.0, + "fresh": 7855.0, + "prefill_ms": 5480.0, + "prefill_tps": 1433.4, + "generated": 10.0, + "decode_ms": 103.0, + "decode_tps": 97.4 + }, + "usage": { + "prompt_tokens": 7855, + "completion_tokens": 10, + "total_tokens": 7865, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish": "stop", + "content": "ZQ-7731-KX" + }, + { + "label": "d0213-p2", + "leg": "overflow", + "http": 400, + "body": "{\"error\": {\"type\": \"invalid_request_error\", \"message\": \"request exceeds the context window: prompt (165779 tokens) leaves no room to answer in the context (131072); requests are never truncated\"}}", + "wall_s": 0.05 + } +] diff --git a/dirigo-results/0.2.13-port/battery/longprobe-s0213-p1.json b/dirigo-results/0.2.13-port/battery/longprobe-s0213-p1.json new file mode 100644 index 00000000000..0954440f857 --- /dev/null +++ b/dirigo-results/0.2.13-port/battery/longprobe-s0213-p1.json @@ -0,0 +1,87 @@ +[ + { + "label": "s0213-p1", + "leg": "code", + "http": 200, + "wall_s": 1.33, + "metrics": { + "prompt_tokens": 32.0, + "reused": 0.0, + "fresh": 32.0, + "prefill_ms": 534.0, + "prefill_tps": 59.9, + "generated": 90.0, + "decode_ms": 785.0, + "decode_tps": 114.7 + }, + "usage": { + "prompt_tokens": 32, + "completion_tokens": 90, + "total_tokens": 122, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish": "stop", + "content": "```python\nclass ListNode:\n def __init__(self, val=0, next=None):\n self.val = val\n self.next = next\n\ndef reverse_list(head: ListNode) -> ListNode:\n prev = None\n curr = head\n while curr:\n next_node = curr.next\n curr.next = prev\n prev = curr\n curr = next_node\n return prev\n```" + }, + { + "label": "s0213-p1", + "leg": "long", + "http": 200, + "wall_s": 16.6, + "metrics": { + "prompt_tokens": 30178.0, + "reused": 0.0, + "fresh": 30178.0, + "prefill_ms": 16570.0, + "prefill_tps": 1821.3, + "generated": 1.0, + "decode_ms": 21.0, + "decode_tps": 48.3 + }, + "usage": { + "prompt_tokens": 30178, + "completion_tokens": 1, + "total_tokens": 30179, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish": "length", + "content": "Every" + }, + { + "label": "s0213-p1", + "leg": "needle", + "http": 200, + "wall_s": 5.57, + "metrics": { + "prompt_tokens": 7855.0, + "reused": 0.0, + "fresh": 7855.0, + "prefill_ms": 5463.0, + "prefill_tps": 1438.0, + "generated": 10.0, + "decode_ms": 103.0, + "decode_tps": 97.4 + }, + "usage": { + "prompt_tokens": 7855, + "completion_tokens": 10, + "total_tokens": 7865, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish": "stop", + "content": "ZQ-7731-KX" + }, + { + "label": "s0213-p1", + "leg": "overflow", + "http": 400, + "body": "{\"error\": {\"type\": \"invalid_request_error\", \"message\": \"request exceeds the context window: prompt (165779 tokens) leaves no room to answer in the context (131072); requests are never truncated\"}}", + "wall_s": 0.04 + } +] diff --git a/dirigo-results/0.2.13-port/battery/longprobe-s0213-p2.json b/dirigo-results/0.2.13-port/battery/longprobe-s0213-p2.json new file mode 100644 index 00000000000..8cd971f8add --- /dev/null +++ b/dirigo-results/0.2.13-port/battery/longprobe-s0213-p2.json @@ -0,0 +1,87 @@ +[ + { + "label": "s0213-p2", + "leg": "code", + "http": 200, + "wall_s": 1.33, + "metrics": { + "prompt_tokens": 32.0, + "reused": 0.0, + "fresh": 32.0, + "prefill_ms": 530.0, + "prefill_tps": 60.4, + "generated": 90.0, + "decode_ms": 784.0, + "decode_tps": 114.7 + }, + "usage": { + "prompt_tokens": 32, + "completion_tokens": 90, + "total_tokens": 122, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish": "stop", + "content": "```python\nclass ListNode:\n def __init__(self, val=0, next=None):\n self.val = val\n self.next = next\n\ndef reverse_list(head: ListNode) -> ListNode:\n prev = None\n curr = head\n while curr:\n next_node = curr.next\n curr.next = prev\n prev = curr\n curr = next_node\n return prev\n```" + }, + { + "label": "s0213-p2", + "leg": "long", + "http": 200, + "wall_s": 16.66, + "metrics": { + "prompt_tokens": 30178.0, + "reused": 0.0, + "fresh": 30178.0, + "prefill_ms": 16629.0, + "prefill_tps": 1814.8, + "generated": 1.0, + "decode_ms": 21.0, + "decode_tps": 48.2 + }, + "usage": { + "prompt_tokens": 30178, + "completion_tokens": 1, + "total_tokens": 30179, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish": "length", + "content": "Every" + }, + { + "label": "s0213-p2", + "leg": "needle", + "http": 200, + "wall_s": 5.57, + "metrics": { + "prompt_tokens": 7855.0, + "reused": 0.0, + "fresh": 7855.0, + "prefill_ms": 5463.0, + "prefill_tps": 1437.9, + "generated": 10.0, + "decode_ms": 103.0, + "decode_tps": 97.3 + }, + "usage": { + "prompt_tokens": 7855, + "completion_tokens": 10, + "total_tokens": 7865, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "finish": "stop", + "content": "ZQ-7731-KX" + }, + { + "label": "s0213-p2", + "leg": "overflow", + "http": 400, + "body": "{\"error\": {\"type\": \"invalid_request_error\", \"message\": \"request exceeds the context window: prompt (165779 tokens) leaves no room to answer in the context (131072); requests are never truncated\"}}", + "wall_s": 0.05 + } +] diff --git a/dirigo-results/0.2.13-port/chart.svg b/dirigo-results/0.2.13-port/chart.svg new file mode 100644 index 00000000000..163dc036611 --- /dev/null +++ b/dirigo-results/0.2.13-port/chart.svg @@ -0,0 +1,107 @@ + + + +Dirigo 0.2.13 vs stock 0.2.13 — same card, same requests +Intel Arc Pro B70 32 GB · engine 0.1.59 on both sides · Qwen3.8-Flash-Next Coder IQ1_M · GuideLLM 0.8.1, 512 in / 128 out, 45 s per point +Time to first token — lower is better +median per request, ms + +0 s + +2 s + +4 s + +6 s + +8 s + +10 s + + +739 ms + +949 ms +-22.1 % +1 stream + +2622 ms + +3163 ms +-17.1 % +2 streams + +6688 ms + +7500 ms +-10.8 % +4 streams + +9641 ms + +9658 ms +-0.2 % +8 streams +Dirigo port (this fork) +stock Strata v0.2.13 +The engine itself: parity +direct-to-engine battery, median of 2 interleaved passes + + +-1.5 % +0 ++1.5 % +warmup 15 + + +code 32 + + +fresh 4k + + +followup 4k + + +needle 7k + + +fresh 8k + + +followup 9k + + +long 30k + + +prefill +decode +Largest difference on any leg: 1.1 % +inside the run-to-run spread: engine speed is the same +Work finished inside each fixed 45 s window +(128 output tokens per finished request; one request ≈ 4.8 % of a window) +1 stream + +22 requests · 62.6 tok/s + +21 requests · 59.7 tok/s +2 streams + +22 requests · 62.6 tok/s + +20 requests · 56.9 tok/s +4 streams + +22 requests · 62.6 tok/s + +19 requests · 54.0 tok/s +8 streams + +23 requests · 65.4 tok/s + +21 requests · 59.7 tok/s + +Source: dirigo-results/0.2.13-port/guidellm/guidellm-0213ab-d0213.json and -s0213.json, medians of the per-request samples; battery/*.json. Recompute with scripts/make-chart.py. +One pass per arm in one session; the companion 0.2.12→0.2.13 run put positional drift at 2–4 %. GuideLLM sends unique prompts, so the fork's cache-off path applies — a conversation switches the cache back on. + \ No newline at end of file diff --git a/dirigo-results/0.2.13-port/determinism/det-0.2.12.json b/dirigo-results/0.2.13-port/determinism/det-0.2.12.json new file mode 100644 index 00000000000..e8dac27bd93 --- /dev/null +++ b/dirigo-results/0.2.13-port/determinism/det-0.2.12.json @@ -0,0 +1,174 @@ +{ + "label": "0.2.12", + "runs": 10, + "prompts": { + "code": { + "distinct": 1, + "shas": { + "6c25ef8d7d1c": 10 + }, + "chars": [ + 192, + 192, + 192, + 192, + 192, + 192, + 192, + 192, + 192, + 192 + ], + "walls": [ + 0.97, + 0.69, + 0.7, + 0.7, + 0.71, + 0.7, + 0.71, + 0.7, + 0.71, + 0.7 + ], + "answers": [ + { + "text": "```python\nimport re\n\ndef word_freq(text):\n words = re.findall(r'[a-z0-9]+', text.lower())\n freq = {}\n for word in words:\n freq[word] = freq.get(word, 0) + 1\n return freq\n```", + "sha": "6c25ef8d7d1c", + "chars": 192, + "wall": 0.97, + "finish": "stop", + "tokens": 64 + }, + { + "text": "```python\nimport re\n\ndef word_freq(text):\n words = re.findall(r'[a-z0-9]+', text.lower())\n freq = {}\n for word in words:\n freq[word] = freq.get(word, 0) + 1\n return freq\n```", + "sha": "6c25ef8d7d1c", + "chars": 192, + "wall": 0.69, + "finish": "stop", + "tokens": 64 + }, + { + "text": "```python\nimport re\n\ndef word_freq(text):\n words = re.findall(r'[a-z0-9]+', text.lower())\n freq = {}\n for word in words:\n freq[word] = freq.get(word, 0) + 1\n return freq\n```", + "sha": "6c25ef8d7d1c", + "chars": 192, + "wall": 0.7, + "finish": "stop", + "tokens": 64 + } + ] + }, + "prose": { + "distinct": 1, + "shas": { + "9a55ca5778d1": 10 + }, + "chars": [ + 547, + 547, + 547, + 547, + 547, + 547, + 547, + 547, + 547, + 547 + ], + "walls": [ + 1.72, + 1.47, + 1.48, + 1.48, + 1.48, + 1.48, + 1.48, + 1.48, + 1.49, + 1.48 + ], + "answers": [ + { + "text": "A B-tree maintains logarithmic height because it enforces strict balance through node splitting and merging. During insertion, if a node exceeds its capacity, it splits, propagating changes upward to the root. This ensures all leaves remain at the same depth. Since each split increases the branching factor, the number of nodes grows exponentially with height. Consequently, even after random insertions, the tree\u2019s height remains proportional to log(n), guaranteeing efficient O(log n) search and update operations regardless of insertion order.", + "sha": "9a55ca5778d1", + "chars": 547, + "wall": 1.72, + "finish": "stop", + "tokens": 102 + }, + { + "text": "A B-tree maintains logarithmic height because it enforces strict balance through node splitting and merging. During insertion, if a node exceeds its capacity, it splits, propagating changes upward to the root. This ensures all leaves remain at the same depth. Since each split increases the branching factor, the number of nodes grows exponentially with height. Consequently, even after random insertions, the tree\u2019s height remains proportional to log(n), guaranteeing efficient O(log n) search and update operations regardless of insertion order.", + "sha": "9a55ca5778d1", + "chars": 547, + "wall": 1.47, + "finish": "stop", + "tokens": 102 + }, + { + "text": "A B-tree maintains logarithmic height because it enforces strict balance through node splitting and merging. During insertion, if a node exceeds its capacity, it splits, propagating changes upward to the root. This ensures all leaves remain at the same depth. Since each split increases the branching factor, the number of nodes grows exponentially with height. Consequently, even after random insertions, the tree\u2019s height remains proportional to log(n), guaranteeing efficient O(log n) search and update operations regardless of insertion order.", + "sha": "9a55ca5778d1", + "chars": 547, + "wall": 1.48, + "finish": "stop", + "tokens": 102 + } + ] + }, + "extract": { + "distinct": 1, + "shas": { + "9dbf53893542": 10 + }, + "chars": [ + 10, + 10, + 10, + 10, + 10, + 10, + 10, + 10, + 10, + 10 + ], + "walls": [ + 0.58, + 0.25, + 0.27, + 0.26, + 0.27, + 0.26, + 0.27, + 0.26, + 0.27, + 0.26 + ], + "answers": [ + { + "text": "2024-03-02", + "sha": "9dbf53893542", + "chars": 10, + "wall": 0.58, + "finish": "stop", + "tokens": 11 + }, + { + "text": "2024-03-02", + "sha": "9dbf53893542", + "chars": 10, + "wall": 0.25, + "finish": "stop", + "tokens": 11 + }, + { + "text": "2024-03-02", + "sha": "9dbf53893542", + "chars": 10, + "wall": 0.27, + "finish": "stop", + "tokens": 11 + } + ] + } + } +} \ No newline at end of file diff --git a/dirigo-results/0.2.13-port/determinism/det-0.2.13.json b/dirigo-results/0.2.13-port/determinism/det-0.2.13.json new file mode 100644 index 00000000000..e2fe4afe932 --- /dev/null +++ b/dirigo-results/0.2.13-port/determinism/det-0.2.13.json @@ -0,0 +1,174 @@ +{ + "label": "0.2.13", + "runs": 10, + "prompts": { + "code": { + "distinct": 1, + "shas": { + "6c25ef8d7d1c": 10 + }, + "chars": [ + 192, + 192, + 192, + 192, + 192, + 192, + 192, + 192, + 192, + 192 + ], + "walls": [ + 0.96, + 0.69, + 0.71, + 0.7, + 0.7, + 0.7, + 0.7, + 0.7, + 0.71, + 0.7 + ], + "answers": [ + { + "text": "```python\nimport re\n\ndef word_freq(text):\n words = re.findall(r'[a-z0-9]+', text.lower())\n freq = {}\n for word in words:\n freq[word] = freq.get(word, 0) + 1\n return freq\n```", + "sha": "6c25ef8d7d1c", + "chars": 192, + "wall": 0.96, + "finish": "stop", + "tokens": 64 + }, + { + "text": "```python\nimport re\n\ndef word_freq(text):\n words = re.findall(r'[a-z0-9]+', text.lower())\n freq = {}\n for word in words:\n freq[word] = freq.get(word, 0) + 1\n return freq\n```", + "sha": "6c25ef8d7d1c", + "chars": 192, + "wall": 0.69, + "finish": "stop", + "tokens": 64 + }, + { + "text": "```python\nimport re\n\ndef word_freq(text):\n words = re.findall(r'[a-z0-9]+', text.lower())\n freq = {}\n for word in words:\n freq[word] = freq.get(word, 0) + 1\n return freq\n```", + "sha": "6c25ef8d7d1c", + "chars": 192, + "wall": 0.71, + "finish": "stop", + "tokens": 64 + } + ] + }, + "prose": { + "distinct": 1, + "shas": { + "9a55ca5778d1": 10 + }, + "chars": [ + 547, + 547, + 547, + 547, + 547, + 547, + 547, + 547, + 547, + 547 + ], + "walls": [ + 1.72, + 1.47, + 1.49, + 1.48, + 1.49, + 1.48, + 1.49, + 1.48, + 1.49, + 1.48 + ], + "answers": [ + { + "text": "A B-tree maintains logarithmic height because it enforces strict balance through node splitting and merging. During insertion, if a node exceeds its capacity, it splits, propagating changes upward to the root. This ensures all leaves remain at the same depth. Since each split increases the branching factor, the number of nodes grows exponentially with height. Consequently, even after random insertions, the tree\u2019s height remains proportional to log(n), guaranteeing efficient O(log n) search and update operations regardless of insertion order.", + "sha": "9a55ca5778d1", + "chars": 547, + "wall": 1.72, + "finish": "stop", + "tokens": 102 + }, + { + "text": "A B-tree maintains logarithmic height because it enforces strict balance through node splitting and merging. During insertion, if a node exceeds its capacity, it splits, propagating changes upward to the root. This ensures all leaves remain at the same depth. Since each split increases the branching factor, the number of nodes grows exponentially with height. Consequently, even after random insertions, the tree\u2019s height remains proportional to log(n), guaranteeing efficient O(log n) search and update operations regardless of insertion order.", + "sha": "9a55ca5778d1", + "chars": 547, + "wall": 1.47, + "finish": "stop", + "tokens": 102 + }, + { + "text": "A B-tree maintains logarithmic height because it enforces strict balance through node splitting and merging. During insertion, if a node exceeds its capacity, it splits, propagating changes upward to the root. This ensures all leaves remain at the same depth. Since each split increases the branching factor, the number of nodes grows exponentially with height. Consequently, even after random insertions, the tree\u2019s height remains proportional to log(n), guaranteeing efficient O(log n) search and update operations regardless of insertion order.", + "sha": "9a55ca5778d1", + "chars": 547, + "wall": 1.49, + "finish": "stop", + "tokens": 102 + } + ] + }, + "extract": { + "distinct": 1, + "shas": { + "9dbf53893542": 10 + }, + "chars": [ + 10, + 10, + 10, + 10, + 10, + 10, + 10, + 10, + 10, + 10 + ], + "walls": [ + 0.58, + 0.25, + 0.27, + 0.26, + 0.27, + 0.26, + 0.27, + 0.26, + 0.27, + 0.26 + ], + "answers": [ + { + "text": "2024-03-02", + "sha": "9dbf53893542", + "chars": 10, + "wall": 0.58, + "finish": "stop", + "tokens": 11 + }, + { + "text": "2024-03-02", + "sha": "9dbf53893542", + "chars": 10, + "wall": 0.25, + "finish": "stop", + "tokens": 11 + }, + { + "text": "2024-03-02", + "sha": "9dbf53893542", + "chars": 10, + "wall": 0.27, + "finish": "stop", + "tokens": 11 + } + ] + } + } +} \ No newline at end of file diff --git a/dirigo-results/0.2.13-port/determinism/det-long-0.2.12.json b/dirigo-results/0.2.13-port/determinism/det-long-0.2.12.json new file mode 100644 index 00000000000..84d2768f0f2 --- /dev/null +++ b/dirigo-results/0.2.13-port/determinism/det-long-0.2.12.json @@ -0,0 +1,54 @@ +{ + "label": "0.2.12", + "runs": 6, + "prompts": { + "long": { + "distinct": 1, + "shas": { + "ec8249494b15": 6 + }, + "chars": [ + 5, + 5, + 5, + 5, + 5, + 5 + ], + "walls": [ + 3.22, + 0.32, + 0.32, + 0.31, + 0.32, + 0.31 + ], + "answers": [ + { + "text": "155 0", + "sha": "ec8249494b15", + "chars": 5, + "wall": 3.22, + "finish": "stop", + "tokens": 6 + }, + { + "text": "155 0", + "sha": "ec8249494b15", + "chars": 5, + "wall": 0.32, + "finish": "stop", + "tokens": 6 + }, + { + "text": "155 0", + "sha": "ec8249494b15", + "chars": 5, + "wall": 0.32, + "finish": "stop", + "tokens": 6 + } + ] + } + } +} \ No newline at end of file diff --git a/dirigo-results/0.2.13-port/determinism/det-long-0.2.13.json b/dirigo-results/0.2.13-port/determinism/det-long-0.2.13.json new file mode 100644 index 00000000000..d47451e2f29 --- /dev/null +++ b/dirigo-results/0.2.13-port/determinism/det-long-0.2.13.json @@ -0,0 +1,54 @@ +{ + "label": "0.2.13", + "runs": 6, + "prompts": { + "long": { + "distinct": 1, + "shas": { + "414077a2295b": 6 + }, + "chars": [ + 5, + 5, + 5, + 5, + 5, + 5 + ], + "walls": [ + 3.2, + 0.29, + 0.28, + 0.28, + 0.28, + 0.28 + ], + "answers": [ + { + "text": "155\n0", + "sha": "414077a2295b", + "chars": 5, + "wall": 3.2, + "finish": "stop", + "tokens": 6 + }, + { + "text": "155\n0", + "sha": "414077a2295b", + "chars": 5, + "wall": 0.29, + "finish": "stop", + "tokens": 6 + }, + { + "text": "155\n0", + "sha": "414077a2295b", + "chars": 5, + "wall": 0.28, + "finish": "stop", + "tokens": 6 + } + ] + } + } +} \ No newline at end of file diff --git a/dirigo-results/0.2.13-port/guidellm/guidellm-0213ab-d0213.json b/dirigo-results/0.2.13-port/guidellm/guidellm-0213ab-d0213.json new file mode 100644 index 00000000000..3bc0c9466ad --- /dev/null +++ b/dirigo-results/0.2.13-port/guidellm/guidellm-0213ab-d0213.json @@ -0,0 +1 @@ +{"metadata": {"version": 2, "guidellm_version": "0.8.1", "python_version": "3.14.7", "platform": "Linux-7.0.0-42-generic-x86_64-with-glibc2.39"}, "config": {"metadata": {"labels": {}}, "spec": {"backend": {"kind": "openai_http", "target": "http://127.0.0.1:8097", "model": "qwen3.8-flash-next-coder-iq1_m", "request_format": "/v1/chat/completions", "api_key": null, "api_routes": {"/health": "health", "/v1/models": "v1/models", "/v1/completions": "v1/completions", "/v1/chat/completions": "v1/chat/completions", "/v1/embeddings": "v1/embeddings", "/v1/responses": "v1/responses", "/v1/audio/transcriptions": "v1/audio/transcriptions", "/v1/audio/translations": "v1/audio/translations", "/pooling": "pooling"}, "timeout": null, "timeout_connect": 5.0, "http2": true, "follow_redirects": true, "verify": false, "validate_backend": true, "stream": true, "extras": null, "max_tokens": null, "server_history": false, "tool_call_missing_behavior": "error_stop", "multiturn_reasoning": false}, "profile": {"kind": "concurrent", "rampup_duration": 0.0, "warmup": {"percent": null, "value": null, "mode": "prefer_duration"}, "cooldown": {"percent": null, "value": null, "mode": "prefer_duration"}, "streams": [1]}, "constraints": [{"kind": "max_duration", "stopping_scope": "current", "seconds": 45}], "tokenizer": {"kind": "huggingface_auto", "model": "/bench-tokenizer", "load_kwargs": {}}, "data": [{"kind": "synthetic_text", "load_kwargs": {}, "prompt_tokens": 512, "prompt_tokens_stdev": null, "prompt_tokens_min": null, "prompt_tokens_max": null, "output_tokens": 128, "output_tokens_stdev": null, "output_tokens_min": null, "output_tokens_max": null, "first_prompt_tokens": null, "first_prompt_tokens_stdev": null, "first_prompt_tokens_min": null, "first_prompt_tokens_max": null, "first_output_tokens": null, "first_output_tokens_stdev": null, "first_output_tokens_min": null, "first_output_tokens_max": null, "delay": null, "delay_stdev": null, "delay_min": null, "delay_max": null, "turns": 1, "tool_call_turns": [], "tools": null, "tool_response_tokens": null, "tool_response_tokens_stdev": null, "tool_response_tokens_min": null, "tool_response_tokens_max": null, "server_tool_call_turns": [], "branches": [], "prefix_buckets": null}], "data_column_mapper": {"kind": "generative_column_mapper", "column_mappings": null}, "data_preprocessors": [{"kind": "encode_media", "audio_kwargs": {}, "image_kwargs": {}, "video_kwargs": {}}], "data_finalizer": {"kind": "generative", "tool_call_mode": "client"}, "data_loader": {"kind": "pytorch", "samples": -1, "shuffle": false, "num_workers": 1, "prefetch_factor": 4096}, "seed": {"kind": "static", "value": 42}, "outputs": [{"kind": "json", "path": "/strata-perf/results-0213-ab/guidellm-0213ab-d0213.json"}], "metrics": {"kind": "generative", "warnings": [{"enabled": true, "code": "generation_delay_ttft", "metric": {"name": "generation_delay", "statistic": "mean", "scale": 1.0}, "relative_to": {"name": "time_to_first_token_ms.total", "statistic": "mean", "scale": 0.001}, "threshold": 0.01, "note": "This means that the benchmark was likely bottlenecked by the data generation.", "when": null}, {"enabled": true, "code": "root_late", "metric": {"name": "root_dispatch_delay", "statistic": "p95", "scale": 1.0}, "relative_to": null, "threshold": 0.2, "note": "This means that conversations were loaded late.", "when": null}, {"enabled": true, "code": "dataset_incomplete", "metric": {"name": "dataset_incomplete", "statistic": "mean", "scale": 1.0}, "relative_to": null, "threshold": 0.0, "note": "The trace dataset was not fully loaded. This could result in late arrivals of trace conversations.", "when": {"name": "strategy_type", "equals": "trace"}}], "sample_size": null, "prefer_response_metrics": true, "confidence": 0.95, "slo": null}}, "benchmarks": [{"profile.streams": 1}, {"profile.streams": 2}, {"profile.streams": 4}, {"profile.streams": 8}]}, "benchmarks": [{"type_": "generative_benchmark", "config": {"id_": "a117dfdd-59e7-48cc-938d-231c2377b951", "run_id": "c9399a8b-ae16-4e09-913b-91da594226fb", "run_index": 0, "strategy": {"type_": "concurrent", "worker_count": 1, "max_concurrency": 1, "streams": 1, "rampup_duration": 0.0}, "constraints": {"max_duration": {"type_": "max_duration", "args": {"kind": "max_duration", "stopping_scope": "current", "seconds": [45, 45, 45, 45]}, "current_index": 0}}, "sample_size": null, "warmup": {"percent": null, "value": null, "mode": "prefer_duration"}, "cooldown": {"percent": null, "value": null, "mode": "prefer_duration"}, "prefer_response_metrics": true, "slo": null, "confidence": 0.95, "warnings": [{"enabled": true, "code": "generation_delay_ttft", "metric": {"name": "generation_delay", "statistic": "mean", "scale": 1.0}, "relative_to": {"name": "time_to_first_token_ms.total", "statistic": "mean", "scale": 0.001}, "threshold": 0.01, "note": "This means that the benchmark was likely bottlenecked by the data generation.", "when": null}, {"enabled": true, "code": "root_late", "metric": {"name": "root_dispatch_delay", "statistic": "p95", "scale": 1.0}, "relative_to": null, "threshold": 0.2, "note": "This means that conversations were loaded late.", "when": null}, {"enabled": true, "code": "dataset_incomplete", "metric": {"name": "dataset_incomplete", "statistic": "mean", "scale": 1.0}, "relative_to": null, "threshold": 0.0, "note": "The trace dataset was not fully loaded. This could result in late arrivals of trace conversations.", "when": {"name": "strategy_type", "equals": "trace"}}], "profile": {"kind": "concurrent", "rampup_duration": 0.0, "warmup": {"percent": null, "value": null, "mode": "prefer_duration"}, "cooldown": {"percent": null, "value": null, "mode": "prefer_duration"}, "streams": [1, 2, 4, 8]}, "requests": {"kind": "pytorch", "samples": -1, "shuffle": false, "num_workers": 1, "prefetch_factor": 4096}, "backend": {"kind": "openai_http", "target": "http://127.0.0.1:8097", "model": "qwen3.8-flash-next-coder-iq1_m", "request_format": "/v1/chat/completions", "api_key": null, "api_routes": {"/health": "health", "/v1/models": "v1/models", "/v1/completions": "v1/completions", "/v1/chat/completions": "v1/chat/completions", "/v1/embeddings": "v1/embeddings", "/v1/responses": "v1/responses", "/v1/audio/transcriptions": "v1/audio/transcriptions", "/v1/audio/translations": "v1/audio/translations", "/pooling": "pooling"}, "timeout": null, "timeout_connect": 5.0, "http2": true, "follow_redirects": true, "verify": false, "validate_backend": true, "stream": true, "extras": null, "max_tokens": null, "server_history": false, "tool_call_missing_behavior": "error_stop", "multiturn_reasoning": false}, "environment": {"str": "", "type": "NonDistributedEnvironment", "class": "NonDistributedEnvironment", "module": "guidellm.scheduler.environments", "attributes": {"run_errors": []}}}, "scheduler_state": {"node_id": 0, "num_processes": 1, "start_time": 1794246913.117498, "end_time": 1794246958.184575, "start_requests_time": 1794246913.1200366, "end_requests_time": 1794246958.1845756, "end_queuing_time": 1794246958.182442, "end_queuing_constraints": {"max_duration": {"request_queuing": "stop", "request_processing": "stop_local", "stopping_scope": "current", "metadata": {"max_duration": 45, "elapsed_time": 45.06236004829407, "duration_exceeded": true, "start_time": 1794246913.1200366, "current_time": 1794246958.1823967, "stop_time": 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Responsibility say data attention.\\nSeven popular up five alone woman stage without. Land but specific during candidate drop. Quickly meet probably suggest near usually appear community.\\nRoad color part add contain answer. Than land shake happy happen admit source first.\\nSo official agent try.\\nChoice add beyond ready especially figure anything value. Sure never source someone.\\nAble cup rich this factor. Morning him adult. Couple try result research much much so.\\nSign nation successful him argue away small. Do foot until responsibility possible. Sit say give record account only.\\nRecognize firm sell try study. Cup also fire subject wait near peace attention.\\nAmerican drop nature. Later myself he finish. Start pattern night especially environment sea.\\nFather anyone ever walk adult kid\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user? User provided a long block of text: \"1 0 m0 Finish medical want almost away until. 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Section when read discussion although throughout structure", "tool_calls": null, "info": {"request_id": "7fe41577-3022-420e-ac91-4476bbd4e541", "conversation_id": "fd7e10b1-f11b-4820-bb3a-3b80e5300a3f", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246913.117498, "predecessor_completed": null, "queued": 1794246912.118318, "dequeued": 1794246913.118654, "scheduled_at": 1794246913.118654, "resolve_start": 1794246913.1187594, "request_start": 1794246913.1200366, "first_request_iteration": 1794246913.1259882, "first_token_iteration": 1794246914.0794098, "first_output_token_iteration": null, "last_token_iteration": 1794246914.9850433, "last_request_iteration": 1794246914.985648, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246914.9858284, "resolve_end": 1794246914.9859135, "finalized": 1794246914.986941}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246913.1200366, "completed_at": 1794246914.9858284}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 408, "text_characters": 2748, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246913.1200366, "request_end_time": 1794246914.9858284, "request_latency": 1.8657917976379395, "request_dispatch_delay": 0.0025386810302734375, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0025386810302734375, "request_scheduled_latency": 1.868330478668213, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 959.3732357025146, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 14.570364728569984, "inter_token_latency_ms": 7.130972043735775, "tokens_per_second": 370.88811349479624, "output_tokens_per_second": 68.60358168689872, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "b9293b5e-b47f-46f9-81b4-00d869abc9b0", "response_id": "chatcmpl-b01e41dd3746455eb68474c6", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 1 m0 Near fear stuff information performance lead sit why. Him we everyone face laugh.\\nFood save early doctor somebody society.\\nScene meeting necessary anything. Likely themselves someone. Argue guy present successful movement push perform finish.\\nYeah cultural month listen pass step.\\nCare rock open. Everything small think event according budget. List not myself wonder line respond of.\\nEnergy sell traditional indeed similar. Together none bank machine. Travel act security.\\nNetwork style analysis have far spend result. Family peace tonight thousand must against. Act bad kid himself.\\nPast meeting lead lay fear nice few. Face expert throw skin usually action. Thing cause compare will establish across condition.\\nExactly impact Congress soldier while man down. Fire artist situation some alone. Prepare condition wonder in.\\nStrong happen really north single. Practice population these information. Break significant research significant quickly.\\nSuddenly like see herself. My plan fast vote speak catch writer.\\nAction language win yard and authority into. Since environmental quite military.\\nBuild everything child. Soon leave carry property. Agreement cold with if society.\\nFive travel away father summer red owner. Own economy task.\\nBall common matter history. Summer shoulder listen already building happy. Conference our everybody site notice executive fund.\\nExecutive rise type make song. May become group here nearly year.\\nMust economy series black time. Worry theory smile.\\nPer foot production. Soon month themselves even detail. Upon find manager into whole agency.\\nSocial itself since.\\nArm it all describe enough whether stand bill.\\nEnd necessary whose value. Throughout beautiful family detail.\\nLine then offer ground use not get. Professional site able data organization effort. Edge space marriage this single word turn firm.\\nResponse above win yeah. Indicate cut even would quickly page environment. Remember language toward up forget manager.\\nBuy market finally bill environment matter. Continue money himself whatever. Product loss off maintain.\\nCause network policy charge. Whom dream officer prepare source report discuss.\\nImpact fast rate card first lot. Type drug behavior policy paper. News wish certainly save.\\nImage message those back look call born how. Despite chance church others.\\nStill arm exactly trouble message.\\nDown else that civil.\\nAnd economy not use value century. Staff black peace. Everything age it grow sure computer fall.\\nHere discussion to Republican it choice example operation. Ability in various.\\nRule lead everything it. Maintain happy end child pressure pattern ground check. Business various rather serious either picture.\\nCourse risk service beautiful than\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User provided a long sequence of words with numbers and lines. Need infer task? It appears maybe they gave scrambled text? Let's inspect. User: \n\"1 1 m0 Near fear stuff information performance lead sit why. Him we everyone face laugh.\nFood save early doctor somebody society.\nScene meeting necessary anything. Likely themselves someone. Argue guy present successful movement push perform finish.\nYeah cultural month listen pass step.\nCare rock open. Everything small think event according budget. List not myself wonder line respond of.\nEnergy sell traditional indeed similar. Together none bank machine. Travel act", "tool_calls": null, "info": {"request_id": "b9293b5e-b47f-46f9-81b4-00d869abc9b0", "conversation_id": "319542e5-c85e-4d15-8a26-407fa4188b97", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246914.9858284, "predecessor_completed": null, "queued": 1794246912.1187356, "dequeued": 1794246914.9864848, "scheduled_at": 1794246914.9864848, "resolve_start": 1794246914.9865098, "request_start": 1794246914.987265, "first_request_iteration": 1794246914.9914415, "first_token_iteration": 1794246915.9472497, "first_output_token_iteration": null, "last_token_iteration": 1794246917.1027298, "last_request_iteration": 1794246917.1034567, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246917.10362, "resolve_end": 1794246917.1037042, "finalized": 1794246917.1048133}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246914.987265, "completed_at": 1794246917.10362}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 400, "text_characters": 2710, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246914.987265, "request_end_time": 1794246917.10362, "request_latency": 2.1163549423217773, "request_dispatch_delay": 0.0014367103576660156, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014367103576660156, "request_scheduled_latency": 2.1177916526794434, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 959.984540939331, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 16.527067869901657, "inter_token_latency_ms": 9.09826886935497, "tokens_per_second": 326.97728824297855, "output_tokens_per_second": 60.48134811430817, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "1182810d-67b2-4d3d-9f6b-adc8daf35288", "response_id": "chatcmpl-aec288eab005456cb26a1988", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 2 m0 Data culture only view per own. Garden whose sister share. Leave general tonight.\\nFocus usually control not. White situation night partner and whom region. Have sense staff society degree top.\\nSize year commercial take sense. Scientist different key window onto three scene. Else many feel price.\\nDecade ahead international food indeed put both sound.\\nBelieve also blood commercial detail anything instead. Drug site speech.\\nDetail could Democrat adult run remember. Against from image enter.\\nOff cold turn stage whether design feel. Month buy however. Involve onto break respond step.\\nDrop quickly debate accept so agency. Yeah so worker discussion economic back.\\nElse always others. Support any deal person treatment special. Water he would day television pay.\\nWatch our loss free late situation rise. Buy really door believe plan. Author bring night population wide six eat billion.\\nTerm raise kitchen save nature. Former another activity to. Organization daughter less stage rich medical friend.\\nClearly push show with.\\nSoldier coach possible rate agree. Develop provide lead medical everybody imagine. Candidate attack sell vote night hospital.\\nAcross season allow process then. Million health cause cut. Perform yet federal far per structure account.\\nMessage cultural section. Sport certain crime state letter.\\nLight player both. Decide fund clearly ahead.\\nStructure production respond must nearly section learn laugh. Poor stand than start difficult break interest have. If mission attack four pattern ability six.\\nMean me ever. Oil fish produce discuss argue water.\\nIdentify must choice race move school hundred. However way clearly almost.\\nNever it interesting research. Outside among main pay.\\nReligious cover nice above goal involve none. Yeah food idea sort brother.\\nExperience low would field heavy. Strategy five forward watch. It pass turn defense.\\nMy late western street something yard until. Western suddenly ground cup between.\\nCompare size fire. A born hundred guess finish amount card.\\nMean life its understand wear right develop. Fish mention employee speak save.\\nScene knowledge interview campaign floor. Save give set cultural of.\\nCare property what kid radio. Charge if travel any weight. Century agency student and statement reach remember.\\nCan control wrong stuff reality hospital PM. Rich fund country baby off style.\\nMillion official common. Off several eight game.\\nCenter federal wide wonder decide room. Run could short contain skill less. Cup station near behind discuss may plant.\\nWater mother game heart part animal. Training agreement black this teacher. Business dream situation somebody response possible\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a lot of seemingly fragmented English words, likely some cipher? Let's inspect: \"1 2 m0 Data culture only view per own. Garden whose sister share. Leave general tonight.\nFocus usually control not. White situation night partner and whom region. Have sense staff society degree top.\nSize year commercial take sense. Scientist different key window onto three scene. Else many feel price.\nDecade ahead international food indeed put both sound.\nBelieve also blood commercial detail anything instead. Drug site speech.\nDetail could Democrat adult run remember. Against from image enter.\nOff cold", "tool_calls": null, "info": {"request_id": "1182810d-67b2-4d3d-9f6b-adc8daf35288", "conversation_id": "c952989d-1fbb-489b-841b-72dbb089d934", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246917.10362, "predecessor_completed": null, "queued": 1794246913.1188524, "dequeued": 1794246917.104106, "scheduled_at": 1794246917.104106, "resolve_start": 1794246917.1041288, "request_start": 1794246917.1049874, "first_request_iteration": 1794246917.1088035, "first_token_iteration": 1794246918.0645711, "first_output_token_iteration": null, "last_token_iteration": 1794246919.131229, "last_request_iteration": 1794246919.132088, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246919.1322353, "resolve_end": 1794246919.1323009, "finalized": 1794246919.1327398}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246917.1049874, "completed_at": 1794246919.1322353}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 400, "text_characters": 2647, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246917.1049874, "request_end_time": 1794246919.1322353, "request_latency": 2.027247905731201, "request_dispatch_delay": 0.001367330551147461, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001367330551147461, "request_scheduled_latency": 2.0286152362823486, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 959.5837593078613, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 15.830012038350105, "inter_token_latency_ms": 8.398880170086237, "tokens_per_second": 341.3494708977908, "output_tokens_per_second": 63.139786524446855, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "c8acd275-2b68-442e-ab9e-8ac505035c31", "response_id": "chatcmpl-d15ec66a9300478fa54fea7e", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 3 m0 Market direction real long although blood notice half. Lawyer performance argue kind. Usually late note from authority improve.\\nClear fine Mrs student.\\nEffect morning lead. Conference hope quickly probably trip interest. Moment anyone fill change couple matter.\\nTen service point standard listen key. Great structure serve response join foreign board.\\nDegree place sometimes born. Ask boy nice concern price why them process.\\nWorry may suffer week avoid time relationship. Necessary part provide enjoy born best.\\nCover black middle size consider the serious pattern. Long should night.\\nGovernment world entire a. Fill financial indicate themselves decision doctor.\\nBefore event break particular than country start. Shoulder evidence sure simply partner. Hour key perhaps face each catch.\\nRed expect marriage learn time author him. Concern kitchen specific perform.\\nSecurity art measure medical believe. Clearly true cell keep.\\nFoot enter edge along politics present your. Manager avoid those respond establish including.\\nDirection raise no state stuff music. Financial season lose name discussion evidence. Military mission force hot the partner dog wind.\\nLeg check argue road thus hotel. Happy last final door clear pull put.\\nTell peace senior standard. Age partner this democratic require standard particular. Herself four order from once more industry.\\nEverything goal every gun sign whose parent prove. Government act strategy century.\\nHusband full response dark window public. Off prove early. Service guy agree fly chance account.\\nIncrease prepare save more several sing could.\\nChoice involve both read ever Mrs another. Until size to article.\\nFire building pressure term staff ask early. Current challenge then claim people least. Price yet seek could former letter.\\nGrowth old past know your style similar. People free interesting family best choose move money.\\nSay argue style for impact eight.\\nSuffer look actually among floor identify any. Able imagine billion school entire among. Why line collection agree box store.\\nProfessor serve check goal draw fine mission spring.\\nCase or remember form. Remain black check old return better current go. Other Mr response number amount fast account.\\nHeart summer level half wife.\\nAffect kitchen sister benefit my baby grow. Wonder lead research big action. Well join fast town share.\\nStage write strategy. Later magazine loss size box if.\\nAir cultural almost summer.\\nReally place few return door themselves.\\nOwner book newspaper financial view recent your. Property century apply step business generation to. Play truth result benefit force knowledge ability. Decade drive especially actually.\\nDark base leader there argue. Night\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User gave a block of text, many words, maybe request implicit? Need infer? The message: starts \"1 3 m0 Market direction real long although blood notice half. Lawyer performance argue kind. Usually late note from authority improve.\n...\" It looks like a list of sentences or word sequences maybe from CAPTCHA? Could be a task? No explicit question. Need respond appropriately. Need likely identify it's gibberish, ask for clarification? We need produce final answer. Since no question, maybe user expects us to process? We must satisfy. Could be from some benchmark? It begins \"1", "tool_calls": null, "info": {"request_id": "c8acd275-2b68-442e-ab9e-8ac505035c31", "conversation_id": "613a6342-2334-4279-8170-689d1cb9b30b", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246919.1322353, "predecessor_completed": null, "queued": 1794246914.986537, "dequeued": 1794246919.132791, "scheduled_at": 1794246919.132791, "resolve_start": 1794246919.1328158, "request_start": 1794246919.1337612, "first_request_iteration": 1794246919.1373978, "first_token_iteration": 1794246920.0010045, "first_output_token_iteration": null, "last_token_iteration": 1794246921.7893274, "last_request_iteration": 1794246921.7902293, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246921.790339, "resolve_end": 1794246921.790411, "finalized": 1794246921.7908263}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246919.1337612, "completed_at": 1794246921.790339}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2687, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246919.1337612, "request_end_time": 1794246921.790339, "request_latency": 2.6565778255462646, "request_dispatch_delay": 0.00152587890625, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.00152587890625, "request_scheduled_latency": 2.6581037044525146, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 867.2432899475098, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 20.746611058712006, "inter_token_latency_ms": 14.081282878485252, "tokens_per_second": 260.4854988043522, "output_tokens_per_second": 48.18228879618075, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "b79661a4-3f03-47ba-8b84-af06c84188c7", "response_id": "chatcmpl-0044058638434ab4b2a69419", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 4 m0 Part major sound direction. Within yard company such. Republican person newspaper measure learn fight throughout.\\nTrouble guess instead. Since forget threat certain. Half sound language pretty listen night radio.\\nHit off safe live picture other campaign. Treatment make religious international animal big particularly. Nearly than wear development happen get organization.\\nNight ahead up never onto many. Often local once during sing class.\\nStart design cold idea song audience. Rather final fine. Sea food personal speech they home loss speak. Government those rest ball check need anyone.\\nClaim treat few several simply down door soldier. Us identify role investment hour participant note. Medical strategy the officer.\\nFirm marriage across bad have system. Risk sport share build simple any why. Against policy realize receive world.\\nStaff special toward argue no. Body conference may. Reduce during condition list source. Medical firm find research technology method health special.\\nTogether box show wish position. At special lay. Green state career oil so collection.\\nFear often too. Those let edge.\\nBook economic there lay apply spring much laugh. Arm later operation star.\\nWhite travel same thing people student message full. Rather a good government stay. Shake billion yourself church.\\nSome cultural newspaper impact his.\\nHimself sister operation sell whom start before.\\nRepresent across reflect teacher machine eat keep. Man mouth positive issue. Current none simple.\\nSingle student edge development. Work parent show enough perform later sometimes. Citizen strong program me page but court ground.\\nIndustry fast stand but side risk. Risk eat beautiful water. However discover final every environmental yet. Analysis town while everybody body respond.\\nCover sound second finally experience. Success ten visit article.\\nGame thank everyone drug day wide. Story south sell stand room. Soon hospital thus police like we energy knowledge. Congress political near by too.\\nUntil book ready get material. Foreign usually land positive travel. Me if quickly remain manager today no.\\nSon president place she third role put data. Yet together pick election fine best discuss.\\nFood word husband collection live same mission. Sing process source lot support like outside know.\\nHome him face new. Treatment five wall miss bed lose. Similar air bar anything official room foreign.\\nTeacher house stock property evening. Task minute recently woman professor into put father. Drug can government oil least during carry.\\nSociety good indicate floor wear south age. Professional score whatever understand simple since focus.\\nPerform course look no simple challenge. Like capital left of perform.\\nHour protect nothing practice\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User provided a strange sequence of numbers and words: \"1 4 m0 Part major sound direction. Within yard company such. Republican person newspaper measure learn fight throughout.\nTrouble guess instead. Since forget threat certain. Half sound language pretty listen night radio.\nHit off safe live picture other campaign. Treatment make religious international animal big particularly. Nearly than wear development happen get organization.\nNight ahead up never onto many. Often local once during sing class.\nStart design cold idea song audience. Rather final fine. Sea food personal speech they home loss speak. Government those rest ball check need anyone", "tool_calls": null, "info": {"request_id": "b79661a4-3f03-47ba-8b84-af06c84188c7", "conversation_id": "78ceb035-eb90-4fb2-8b7c-fb469c5e7426", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246921.790339, "predecessor_completed": null, "queued": 1794246917.1043074, "dequeued": 1794246921.790866, "scheduled_at": 1794246921.790866, "resolve_start": 1794246921.7908895, "request_start": 1794246921.79157, "first_request_iteration": 1794246921.7947626, "first_token_iteration": 1794246922.5317628, "first_output_token_iteration": null, "last_token_iteration": 1794246923.4523168, "last_request_iteration": 1794246923.453207, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246923.453343, "resolve_end": 1794246923.4534059, "finalized": 1794246923.453812}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246921.79157, "completed_at": 1794246923.453343}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 409, "text_characters": 2723, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246921.79157, "request_end_time": 1794246923.453343, "request_latency": 1.6617729663848877, "request_dispatch_delay": 0.0012309551239013672, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012309551239013672, "request_scheduled_latency": 1.663003921508789, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 740.1928901672363, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 12.974584475159645, "inter_token_latency_ms": 7.24845608388345, "tokens_per_second": 416.42270875630794, "output_tokens_per_second": 77.02616578151361, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "34045b5b-ad6c-4c39-a50d-657d2b99e3af", "response_id": "chatcmpl-693b179b8e64483a9ca772e7", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 5 m0 Give drive table score garden dog either. Reach represent choose usually scene treat. Discussion clearly meet.\\nTest report along. At less suggest Mr. Feel assume through simple dream center.\\nEnough structure force build offer wife light. Actually everybody able son.\\nEnjoy page side appear common alone table successful. Offer day property but occur because opportunity. Door painting form.\\nSuccess several always since win past. Message Congress though short door party.\\nFather event same finally decade defense. Thus run easy ask large last. Sign can decision line design impact.\\nProcess those true who. Itself could something provide. Fine almost policy history example east national information.\\nSmall dark know thus player service room. Continue book would thus perhaps. Story example hard fact our. Fall sometimes truth.\\nNext still tend difference.\\nAvoid where we civil fund mention. So college bad system employee.\\nTo rule key fear buy human. Ground hotel that central service.\\nHer science may herself reveal leader today. Leg country suddenly stand memory.\\nParticularly politics event probably debate test value letter. Common guess law system.\\nFollow foot rule suggest middle similar think whose. Organization different somebody assume sit just arrive. Character rule individual suggest anyone paper.\\nMention something blood onto without collection. By themselves sell. Science quality computer me success.\\nMuch rise expect education exactly discussion. Growth significant claim tree.\\nGood return fill end produce college certainly.\\nFire involve several last purpose born particularly. Evidence would test. Under to maintain worker news prepare.\\nReady so prove little dinner stock. Concern interview treat push class matter. Low increase contain meet record performance require.\\nServe form fear technology friend my radio. Evening simple alone outside.\\nAgreement produce new maybe customer like lot. Writer alone offer owner.\\nPartner difficult indicate along bring you discussion.\\nPiece later first sell against American. Ok single civil fish. Address since lead positive ask score sometimes.\\nPerform finally positive word. Report financial town nor suffer church specific. Yard reason nation be arrive film pick.\\nLeft expert recently event measure. Government base shake heart civil air various.\\nOffer although game source reason line off. Himself eight worry hotel big fine least. Power image describe with table.\\nMachine success board sing forget. Claim take such name. Eat it between dinner either involve hot.\\nTree in decide situation six land road statement. Help stay outside put. Wrong quite ago various option during.\\nHim sort along yard authority radio. Behavior in paper law school sell the.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a block of scrambled words with some numbers? It looks like maybe a cipher/word puzzle? Need infer task? User didn't explicitly ask a question. They just give text: \"1 5 m0 Give drive table score garden dog either. Reach represent choose usually scene treat. Discussion clearly meet.\nTest report along. At less suggest Mr. Feel assume through simple dream center.\n...\" Many words with capitalization and punctuation. Could be a \"word search\"? Maybe they expect unscramble? Need produce likely decoded message. Need analyze thoroughly.\n\nWe need answer perhaps decode.", "tool_calls": null, "info": {"request_id": "34045b5b-ad6c-4c39-a50d-657d2b99e3af", "conversation_id": "bf8f37b1-f2e1-4968-86dd-e61e0eeed6f6", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246923.453343, "predecessor_completed": null, "queued": 1794246919.1335168, "dequeued": 1794246923.4538543, "scheduled_at": 1794246923.4538543, "resolve_start": 1794246923.4538777, "request_start": 1794246923.4545627, "first_request_iteration": 1794246923.4599311, "first_token_iteration": 1794246924.2035217, "first_output_token_iteration": null, "last_token_iteration": 1794246925.7584822, "last_request_iteration": 1794246925.7592173, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246925.7593284, "resolve_end": 1794246925.7593946, "finalized": 1794246925.7598023}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246923.4545627, "completed_at": 1794246925.7593284}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 406, "text_characters": 2718, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246923.4545627, "request_end_time": 1794246925.7593284, "request_latency": 2.3047657012939453, "request_dispatch_delay": 0.0012197494506835938, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012197494506835938, "request_scheduled_latency": 2.305985450744629, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 748.9590644836426, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 17.999371513724327, "inter_token_latency_ms": 12.243783380102924, "tokens_per_second": 300.2474393000105, "output_tokens_per_second": 55.53709859884587, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "7aa072c4-5dd2-41eb-9b7f-faea97350596", "response_id": "chatcmpl-80e77f142f264934a75662dd", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 6 m0 Task share get so. Guy help current away hair trip. Then worry support kind option. Spring never store across.\\nAddress approach political raise think available idea. Its worker away too hundred behind boy. Trouble hot term but.\\nFamily plant site stock. Spring in want outside interesting race.\\nLeast measure nor what although teacher hit cover. Key dinner board interview can power laugh. Professional stuff action hold. Degree realize direction financial general total painting.\\nHe social check. Similar let team final.\\nSet leader too voice partner. Authority wide much father free.\\nEntire exactly thought fund appear. Life discuss environmental parent partner able also. Develop seek approach wonder real mouth.\\nFar business collection front face ability able. Season establish range support behind task.\\nStory follow director recent. Involve difficult run.\\nLeader large administration raise concern ok defense. Section water appear statement sort trip.\\nTechnology set area country continue little role. Exist throw family have right. Civil contain really similar ability which exactly.\\nBusiness serve wear challenge anything school activity throw. Medical cover when share student theory market.\\nDevelop pass process arm. Where though work science.\\nLate gas woman. Easy less position.\\nOpen international end moment these because choose. Each both positive agreement consumer. Item campaign important job one. Talk responsibility assume red where Mrs establish.\\nSomebody floor kid energy table become. Despite cultural actually job heavy fill. Enter body affect mention who easy rise.\\nMarket course discover training case talk. Season law occur page style. Tell growth gun suggest.\\nSupport serious maybe there similar green operation. Research dog hundred hope within anyone option. Memory consumer body build.\\nControl even method.\\nInstead situation matter center Congress. Plant find trip take use economy rather democratic. Outside together never threat but.\\nReady school interesting worry light. She nature personal price edge much. Service face once.\\nHelp look station national event. Hold its after reason product value.\\nEveryone skin compare message set evidence break play. Player pretty local miss arrive. Carry in visit fall will join.\\nQuestion person because price. Ball police kind join office. Thing direction growth business air.\\nYour happen glass put exactly outside. Tv anything scientist truth or best him.\\nCouple smile store community threat charge together boy. Fear black official age learn fast. Commercial anyone over spring Mr want fight.\\nAnimal figure range audience course fight. Decision share turn it forget light hear. Material where cause reduce glass writer.\\nPhysical adult alone which leave similar. End\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User posted a block of text: \"1 6 m0 Task share get so. Guy help current away hair trip. Then worry support kind option. Spring never store across.\nAddress approach political raise think available idea. Its worker away too hundred behind boy. Trouble hot term but.\nFamily plant site stock. Spring in want outside interesting race.\nLeast measure nor what although teacher hit cover. Key dinner board interview can power laugh. Professional stuff action hold. Degree realize direction financial general total painting.\nHe social check. Similar let team final.\nSet leader too voice partner. Authority wide much", "tool_calls": null, "info": {"request_id": "7aa072c4-5dd2-41eb-9b7f-faea97350596", "conversation_id": "72061a89-ea70-4d4f-af88-c704d12391d1", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246925.7593284, "predecessor_completed": null, "queued": 1794246921.7917528, "dequeued": 1794246925.759895, "scheduled_at": 1794246925.759895, "resolve_start": 1794246925.7599237, "request_start": 1794246925.7605765, "first_request_iteration": 1794246925.7634635, "first_token_iteration": 1794246926.4973264, "first_output_token_iteration": null, "last_token_iteration": 1794246927.384768, "last_request_iteration": 1794246927.385689, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246927.385876, "resolve_end": 1794246927.3860123, "finalized": 1794246927.3871124}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246925.7605765, "completed_at": 1794246927.385876}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 407, "text_characters": 2742, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246925.7605765, "request_end_time": 1794246927.385876, "request_latency": 1.6252994537353516, "request_dispatch_delay": 0.0012481212615966797, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012481212615966797, "request_scheduled_latency": 1.6265475749969482, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 736.7498874664307, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 12.688996270298958, "inter_token_latency_ms": 6.987729410486897, "tokens_per_second": 425.7676937069092, "output_tokens_per_second": 78.75471791110459, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "7d1763eb-f68c-49c8-bf50-10fbc08b7428", "response_id": "chatcmpl-1db3ec16a1d04cfea9aab5f0", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 7 m0 Control sea ten service special time stuff. It whether thus science would thus. May by full common team put admit writer.\\nInto item available least include reveal doctor finally. Add show next and. Positive industry police learn throw interview control.\\nPlan after apply begin present own.\\nStation key alone must stay early ahead statement.\\nCan coach way actually quite summer. Identify explain too dream. Since religious return side happen agent follow her.\\nNow ahead easy its tax medical light plan. Local whose phone understand another officer better. Hear everything generation on rather unit.\\nTime civil vote them. Arm similar billion staff.\\nAlmost mission success Republican good church per. Could Congress while three make baby. Avoid so pretty hold lawyer doctor avoid.\\nWhose me sense evidence tough base. Outside line such bed. After program somebody of.\\nDraw lay international. Your one sometimes than clear fine. Specific participant despite do foot.\\nNorth join back defense life. Building important hit card need despite.\\nPicture scientist various skin my couple. Ten feel some environment behavior plan.\\nRepublican show culture down would after among hospital. Could and trade move may write machine.\\nThird mission off late various scene truth poor. Government national blood machine. Stay believe consider question science.\\nPlayer return national player moment. Goal several him discuss career game change relate. Nor yourself stand fund according as development.\\nSurface short himself customer drive institution natural clear. Direction become hour about effort radio. Language picture paper. Protect forget coach teach major.\\nTend investment sing buy. Floor dinner here democratic within score.\\nDeal modern wrong note task. Recognize field account miss here to. Beautiful production material heart require structure around.\\nQuickly remain resource especially pick those. Toward economic they likely provide.\\nPattern key base into want they someone. Pretty the under probably son center million. Guess hundred accept.\\nGuy training technology imagine land worker. Quickly feel another hear although happen travel. High large ball once today appear week. Question red continue time Republican.\\nQuestion first can wait join personal. Per writer ahead serve.\\nThem check outside note. Dream home section physical.\\nOnto early doctor. Somebody company recent involve find sit can fish. Into force physical person either.\\nMust perform occur different economic moment. Oil seat little effort decade.\\nShare indicate wonder American later though garden call. Window small bill. Letter nor easy.\\nKeep key opportunity medical number million. Can eight by receive recognize.\\nBefore team support price resource wonder. Choice\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User posted a long list of seemingly random words, maybe wants something? Need infer task. The message:\n\"1 7 m0 Control sea ten service special time stuff. It whether thus science would thus. May by full common team put admit writer.\nInto item available least include reveal doctor finally. Add show next and. Positive industry police learn throw interview control.\nPlan after apply begin present own.\nStation key alone must stay early ahead statement.\nCan coach way actually quite summer. Identify explain too dream. Since religious return side happen agent follow her.\nNow ahead easy its tax medical", "tool_calls": null, "info": {"request_id": "7d1763eb-f68c-49c8-bf50-10fbc08b7428", "conversation_id": "87f5cb47-c878-40b4-885a-0b5abc4117a2", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246927.385876, "predecessor_completed": null, "queued": 1794246923.454431, "dequeued": 1794246927.3865418, "scheduled_at": 1794246927.3865418, "resolve_start": 1794246927.3865645, "request_start": 1794246927.387242, "first_request_iteration": 1794246927.3899155, "first_token_iteration": 1794246928.1215177, "first_output_token_iteration": null, "last_token_iteration": 1794246929.1478963, "last_request_iteration": 1794246929.148727, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246929.1488361, "resolve_end": 1794246929.1489048, "finalized": 1794246929.1492152}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246927.387242, "completed_at": 1794246929.1488361}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 407, "text_characters": 2732, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246927.387242, "request_end_time": 1794246929.1488361, "request_latency": 1.7615940570831299, "request_dispatch_delay": 0.0013661384582519531, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013661384582519531, "request_scheduled_latency": 1.7629601955413818, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 734.2755794525146, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 13.755111023783684, "inter_token_latency_ms": 8.081721508596825, "tokens_per_second": 392.82603004793424, "output_tokens_per_second": 72.66146220539825, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "4613c8dc-d19a-476b-8045-698569cf33bf", "response_id": "chatcmpl-b6f58a87d2eb4988828a68f4", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 8 m0 Easy central stop beyond before game purpose. Address identify black project camera. Senior send according ability.\\nOil church eight dinner democratic compare until address.\\nAnalysis such quickly. May also performance prevent word civil quite candidate.\\nNote before she teach its. Rather share pick positive.\\nCell alone dark method know. Each now also world.\\nThemselves newspaper for city outside fine.\\nOrganization nation now spend family. Lose election particular sport computer protect. Happen score stage save.\\nClass public art court. Certain whether certainly fill because position race enter.\\nWait street concern possible. Whether focus question easy. Money idea benefit necessary throughout.\\nShoulder read heart night store. Standard assume born within left.\\nClaim set rule. Today card both focus. Create according lay accept.\\nProcess our hour morning. Half since not nation central southern fear.\\nCitizen probably each state follow deal.\\nDiscuss collection well first per. Heavy a someone wide they remain.\\nCould young coach Mr size. Environment call everything pressure surface leader if. His describe capital level station.\\nItself teach lose ground. Training eye gas live.\\nProve when data take TV agency goal.\\nAnimal their picture reveal. Note walk edge voice.\\nDecision sound throughout clear. Section after feel myself cell enter international.\\nEight program hard natural central find stand. Ok effort dinner fire exist. Within authority consider activity single others image. Key box add kind Democrat foreign continue break.\\nAttorney including back remain. Know recent into candidate course population. Health arrive source food ever.\\nSomething lot evidence. For pattern address evidence. Back people from indicate just.\\nMaybe particular board all teach also address expect. Pay me should cost another. Nearly each sell collection night.\\nHit wonder approach energy effect sort.\\nEvidence fund church simply room. Agency young instead east and stay success.\\nCommon move space group century. Course bag whether to write much. Reduce billion as since.\\nMiddle during beyond town include. Sense effort about.\\nPass throw structure society improve. Thank able might possible total member people. Market research ago pretty.\\nCase art bad speech. Rock between too station behavior six that me.\\nOperation generation north affect laugh. Half seat half general media each. Decade reason that brother customer year.\\nArgue someone practice listen in. Tend style administration seek bed popular catch.\\nNearly ahead skill television increase. Blue than political buy enter politics quickly. Write trial toward a walk start find.\\nNecessary reflect member\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. We need infer what they want. User provided a block of seemingly random words/sentences. Maybe it's a cipher? Need analyze. The text:\n\"1 8 m0 Easy central stop beyond before game purpose. Address identify black project camera. Senior send according ability.\nOil church eight dinner democratic compare until address.\nAnalysis such quickly. May also performance prevent word civil quite candidate.\nNote before she teach its. Rather share pick positive.\nCell alone dark method know. Each now also world.\nThemselves newspaper for city outside fine.\nOrganization nation now spend family", "tool_calls": null, "info": {"request_id": "4613c8dc-d19a-476b-8045-698569cf33bf", "conversation_id": "8ff11a1d-0c11-4fb7-b3b5-114c25b215f7", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246929.1488361, "predecessor_completed": null, "queued": 1794246925.7605927, "dequeued": 1794246929.1494157, "scheduled_at": 1794246929.1494157, "resolve_start": 1794246929.1494393, "request_start": 1794246929.1500225, "first_request_iteration": 1794246929.1527016, "first_token_iteration": 1794246929.8990293, "first_output_token_iteration": null, "last_token_iteration": 1794246930.9618034, "last_request_iteration": 1794246930.9627023, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246930.9628131, "resolve_end": 1794246930.9628904, "finalized": 1794246930.9632013}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246929.1500225, "completed_at": 1794246930.9628131}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 394, "text_characters": 2656, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246929.1500225, "request_end_time": 1794246930.9628131, "request_latency": 1.8127906322479248, "request_dispatch_delay": 0.001186370849609375, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001186370849609375, "request_scheduled_latency": 1.8139770030975342, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 749.0067481994629, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 14.15453851222992, "inter_token_latency_ms": 8.368300640676903, "tokens_per_second": 381.73189318718806, "output_tokens_per_second": 70.60936752595387, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "6db94045-2a77-45dc-a231-55932dc3047e", "response_id": "chatcmpl-5dc0ef44f14747609bafb608", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 9 m0 Budget popular ever generation position writer risk. Job what ready fact. Rule bar control town lay.\\nWork event force page.\\nName someone set both often inside happen.\\nHuge without the age. Happen food mother than stock. With behind force herself stay yes impact. Employee successful finish never.\\nEasy eat though seem. Subject skill military area many go table.\\nWay loss agent lead loss agreement. Another produce cut spend hand.\\nType PM west will fire. Blue gas dream bar out born.\\nTown PM director charge interesting town career. Couple eat upon sometimes day while. Everyone house south total.\\nDifference thousand until.\\nPut personal she talk stay Mrs image. What national explain if. Student young year front their into rock.\\nElection continue allow quality. Thought sure already quickly. Visit me seven court because.\\nMorning thousand third you. Their people majority many pretty thank customer. Section letter son page want team. Material series pull magazine.\\nPiece possible machine story become east near. Poor smile rate improve consider. Occur face light technology significant.\\nFly line war standard. Friend fish anything hear. Do seem hour it. Create should thank available.\\nApproach serve scene year upon.\\nYourself special picture trouble center interest economic group. Social leave leader any defense range. Recent thousand knowledge.\\nAdministration tree cover test main worry. Himself develop leave. Our section indicate front.\\nArticle southern land he manage work. Home ok case these quickly beautiful. Law north school remember.\\nImage writer our near each argue style. Manager happen military first item. Bag medical outside member.\\nShare feeling radio within reflect person skill seek. Future door bar over anyone.\\nMusic right meet woman various eight. Size group treat lay.\\nWonder quickly which exactly. Cold expect table. Carry thank control down Mr.\\nNetwork prevent claim. Tell Mrs minute painting dream magazine notice this.\\nLife little cup staff truth very better.\\nGreat those rise person visit. Million ago unit make general exist success.\\nKind chair four human. Its each tree thus. Build and ago audience down.\\nHistory structure foot Mr around. Director everyone quickly building.\\nRise machine can number necessary.\\nHope daughter civil mission. Out eye interest behind record individual. Series the clearly suffer behind machine painting same.\\nSpend old stock third yes. Why available still language west.\\nSimple realize crime director girl sea shoulder shake. No long window young plant. Red debate result sort wrong. Ready recognize oil student\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provided long sequence of words? \"1 9 m0 Budget popular ever generation position writer risk. Job what ready fact. Rule bar control town lay. ...\" Looks like maybe encoded message? Need infer task? They didn't ask explicit question. We need respond to prompt. Might be some kind of puzzle: random words grouped. Could be seeking solve? Need analyze. We need produce final answer likely decode. Let's inspect.\n\nInput:\n\"1 9 m0 Budget popular ever generation position writer risk. Job what ready fact. Rule bar control town lay.\nWork event force page.\n", "tool_calls": null, "info": {"request_id": "6db94045-2a77-45dc-a231-55932dc3047e", "conversation_id": "299b5a4e-2543-4502-a363-a628bf147a48", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246930.9628131, "predecessor_completed": null, "queued": 1794246927.3866892, "dequeued": 1794246930.9633846, "scheduled_at": 1794246930.9633846, "resolve_start": 1794246930.9634092, "request_start": 1794246930.9640512, "first_request_iteration": 1794246930.9668531, "first_token_iteration": 1794246931.7000275, "first_output_token_iteration": null, "last_token_iteration": 1794246933.0687218, "last_request_iteration": 1794246933.0695183, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246933.0696285, "resolve_end": 1794246933.0697038, "finalized": 1794246933.0700336}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246930.9640512, "completed_at": 1794246933.0696285}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 397, "text_characters": 2579, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246930.9640512, "request_end_time": 1794246933.0696285, "request_latency": 2.105577230453491, "request_dispatch_delay": 0.001238107681274414, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001238107681274414, "request_scheduled_latency": 2.1068153381347656, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 735.9762191772461, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 16.442738473415375, "inter_token_latency_ms": 10.777120515117495, "tokens_per_second": 328.65097038067785, "output_tokens_per_second": 60.79093093746642, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "e207e028-d41d-4801-a24a-785a49517c02", "response_id": "chatcmpl-e4e83fc531d24f57a5e4fe8e", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 10 m0 Before significant morning whether case behind blood. Make cultural be make foreign realize order nothing.\\nReturn per account table. Popular like process a movement something party.\\nRun PM friend western whom cost. Red then scientist environment card.\\nPlace continue help. Behind ground already because drop test themselves event. Indicate source medical successful cell toward.\\nRecord want movie that activity phone everyone. Us free teacher. Value ahead left ok knowledge improve hair.\\nDoctor return simple. Whom instead report environmental past. Social bar show. Cut service audience dog.\\nDeep quality president thank their just will. Teacher smile increase when particular owner under.\\nRegion as serious kitchen consider company cut. Film nothing off remember campaign.\\nServe none style program exactly shake future. Imagine himself size choose two class see. Why leg relationship least serious. All science pressure low.\\nReady hot present ready beat manager future. Outside enough ever statement over education.\\nPm certain group bed. Always market assume home particularly wait.\\nWife as poor. List meet bring book. Able best defense important clearly between.\\nPrevent fight their arm art night most. Foreign property well animal no face. Meet radio know impact run pass.\\nAuthority really question everyone unit suffer. Defense cost much seat cut move capital. Believe court opportunity remain.\\nMedical what a public enjoy development day. Music short eye town.\\nThat American just do. Item spring lead phone back team like. Represent minute pretty career within federal none.\\nOn throw eight mother worry record. Sort guy low now meeting.\\nGet standard lay another. Will join think but month every minute.\\nInterest we recent structure parent sort. Middle keep nor seven need interesting player.\\nAgency specific also ready kid experience environmental. Central better turn. Team prevent number.\\nWonder figure my especially. Week front suddenly civil analysis business difficult impact. Office task surface economic whose him happy.\\nMake entire democratic couple. Itself wonder discuss hit training keep.\\nSpeech group treatment society. Hope performance heart nothing save may behavior. Father special pattern beyond.\\nStaff full require future institution threat school action. Air ten record through.\\nArticle beautiful human this. Hot despite method sing task business pull. Vote oil amount north direction surface.\\nCold only maintain. Happy civil often add worker alone knowledge. Worker without site difference.\\nEverybody reality environmental theory. Fight everything hotel young. Inside save yard information. Price enjoy allow law daughter catch site.\\nOff boy city young hit any leave.\\nWoman finally bar\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a weird text:\n\n\"1 10 m0 Before significant morning whether case behind blood. Make cultural be make foreign realize order nothing.\nReturn per account table. Popular like process a movement something party.\nRun PM friend western whom cost. Red then scientist environment card.\nPlace continue help. Behind ground already because drop test themselves event. Indicate source medical successful cell toward.\nRecord want movie that activity phone everyone. Us free teacher. Value ahead left ok knowledge improve hair.\nDoctor return simple. Whom instead report environmental past. Social bar show. Cut service audience dog", "tool_calls": null, "info": {"request_id": "e207e028-d41d-4801-a24a-785a49517c02", "conversation_id": "96bb5f67-5b30-4607-bd18-dc2be738ab18", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246933.0696285, "predecessor_completed": null, "queued": 1794246929.1499028, "dequeued": 1794246933.0702548, "scheduled_at": 1794246933.0702548, "resolve_start": 1794246933.0702848, "request_start": 1794246933.0709589, "first_request_iteration": 1794246933.0736876, "first_token_iteration": 1794246933.8134694, "first_output_token_iteration": null, "last_token_iteration": 1794246934.735778, "last_request_iteration": 1794246934.7366986, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246934.73684, "resolve_end": 1794246934.7369113, "finalized": 1794246934.7373676}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246933.0709589, "completed_at": 1794246934.73684}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 403, "text_characters": 2718, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246933.0709589, "request_end_time": 1794246934.73684, "request_latency": 1.6658811569213867, "request_dispatch_delay": 0.0013303756713867188, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013303756713867188, "request_scheduled_latency": 1.6672115325927734, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 742.5105571746826, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 13.006400316953659, "inter_token_latency_ms": 7.2622730976014624, "tokens_per_second": 415.39577845927676, "output_tokens_per_second": 76.83621335662923, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "587f1631-a7bd-4e20-9f0e-c7fce6ca9bab", "response_id": "chatcmpl-61e0a76c1f804367ac2fef9a", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 11 m0 Future spring fact soldier. Suffer sound guy product.\\nShe think sea. Tree enter able reveal this. Floor nation everything almost live memory.\\nWho that sure effort center. Drive much black until beat phone including.\\nPage prepare cover support professional tonight eight.\\nBeautiful resource purpose piece. Near memory chance. Most activity tell. Work move difference.\\nIn officer doctor. Condition west grow care. Bit general during mother address rise.\\nCondition rock per term dark help. Do own reality seem ok some.\\nKeep message quickly near. Gun kitchen act large model foreign minute enjoy. Relationship provide science face market actually.\\nSituation Democrat quickly development. Eye fight both not reality office laugh. Despite baby pick.\\nWonder can approach common. Finally have school night it process religious. Across maybe type science serious.\\nShare morning time ok heavy suffer court size. Moment project standard ok. Decade such write drive question above.\\nGirl admit stop movie trade. Theory issue company turn opportunity. Opportunity treat remain lawyer.\\nRadio test finally. Happy government television family sister.\\nRisk live measure car tough whose. Yes make way.\\nImpact city cut its last parent wonder. Paper and role job have fill rest. Relate finally glass.\\nLarge series role field trouble. During past less.\\nSort matter light east yeah hotel although. History participant free minute various feeling drug fight.\\nProduction make walk early talk fast. Kitchen argue budget just night ever sport. Wind home family goal relationship.\\nImprove particular recently purpose. There continue there hotel.\\nCollege next like. Activity amount realize test firm camera. Approach above modern couple.\\nProbably whether although year may role former.\\nData forward trial feel part teach. Our case performance.\\nRadio future conference plant hair while. Couple whatever behind should eight. Charge care pull who cold.\\nSystem security environmental sure medical identify. Teach task seat wall own paper against Mrs.\\nWill somebody maybe kid green vote. Organization result create kitchen glass effect media.\\nTerm stage include defense board clear I. Hospital big establish news travel.\\nKnowledge kid option mother soldier. Although color reality.\\nHappen accept skill class. Attention suffer action.\\nIn picture almost.\\nBreak free media. Energy big here. Pay red lot carry.\\nAffect than ability whose clearly center. Be order west.\\nFinally vote southern building. Decade sort smile everything then. Finish though will.\\nAvoid south room west open. Would customer instead. Run both trial defense.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User provided a block of seemingly random words, maybe a puzzle? We need infer likely task? They just pasted text: \"1 11 m0 Future spring fact soldier. Suffer sound guy product.\nShe think sea. Tree enter able reveal this. Floor nation everything almost live memory.\nWho that sure effort center. Drive much black until beat phone including.\nPage prepare cover support professional tonight eight.\nBeautiful resource purpose piece. Near memory chance. Most activity tell. Work move difference.\nIn officer doctor. Condition west grow care. Bit general during mother address rise.\nCondition", "tool_calls": null, "info": {"request_id": "587f1631-a7bd-4e20-9f0e-c7fce6ca9bab", "conversation_id": "b549499c-f060-443b-995c-47220ab4b0ab", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246934.73684, "predecessor_completed": null, "queued": 1794246930.9641361, "dequeued": 1794246934.737403, "scheduled_at": 1794246934.737403, "resolve_start": 1794246934.7374246, "request_start": 1794246934.7380254, "first_request_iteration": 1794246934.740617, "first_token_iteration": 1794246935.4797513, "first_output_token_iteration": null, "last_token_iteration": 1794246936.5090146, "last_request_iteration": 1794246936.5098639, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246936.5099812, "resolve_end": 1794246936.5100532, "finalized": 1794246936.5104403}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246934.7380254, "completed_at": 1794246936.5099812}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 390, "text_characters": 2600, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246934.7380254, "request_end_time": 1794246936.5099812, "request_latency": 1.7719557285308838, "request_dispatch_delay": 0.0011854171752929688, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0011854171752929688, "request_scheduled_latency": 1.7731411457061768, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 741.7259216308594, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 13.835852965712547, "inter_token_latency_ms": 8.104435102207454, "tokens_per_second": 390.52894429463674, "output_tokens_per_second": 72.23656773079986, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "59d4744f-e135-4e17-8766-cec095efeeaf", "response_id": "chatcmpl-60e29d6a047a46978a2e707d", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 12 m0 Threat money do bed customer. Think tonight try early over college.\\nJoin smile perhaps bar. Treatment statement live. Position lawyer piece break. Natural town back success area.\\nGuy project sort political rock it add design.\\nMove amount among. Window level stop leave pull single turn. Black whole parent car age.\\nSome fight break result.\\nYou record trade around music response. Imagine accept main strong. Sit also choice risk.\\nSuccess every care seek doctor able economic reflect.\\nWish front ok cup show effect cut exist.\\nMyself environment late sell author table sure. Economy sell cause human.\\nTerm fall house discussion. Country staff foreign son door western necessary very. Beyond opportunity need tree box.\\nExplain laugh land whether current management include. Hold religious option Democrat animal part.\\nCatch certain seem yes.\\nDescribe cultural forward support phone. Positive father loss must range develop.\\nCup step cup dream.\\nPick more stand reach leave. Learn guy reveal room head. Seat star responsibility difficult fight. Sign fast throughout article rather.\\nScene perhaps defense send painting world occur commercial. Attorney two could around run note pressure.\\nAppear agent their student loss environmental listen. Bad base half myself thus.\\nBad perform region let behind. Positive month though charge perform success politics available.\\nStatement them bill lay someone card product. Program near affect garden especially meet animal.\\nQuite step perform wrong its break give provide. Third wind five. Near recently wish resource site six thought maintain.\\nWriter tough line record without large. Myself see leave try medical mother both. Clear lot guess cultural.\\nAuthor simply dark always thousand car there. Hour away want trouble question ability store treat. College present opportunity.\\nWell analysis information seven never edge court tough. Worker heavy person seek big other.\\nOf size ground summer less both no wonder. Use southern well human address. Account various challenge partner per.\\nLast century education. Decide possible while meeting summer career carry. Floor American wide international I choice.\\nGround adult hit. Author brother item citizen.\\nLose newspaper popular society. Cold resource here defense a deep energy article.\\nSize central attack collection lose its. He outside like direction across far clear.\\nCollection seat must guess. Stage ever citizen moment listen physical there cost.\\nAlso edge loss party.\\nWar evening expect less son heart. Really different could upon business. Wait how career task why address.\\nArticle table book four loss. Well great stage event back truth.\\nPay view\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User provided a long sequence of seemingly unrelated short words/sentences. We need infer task? They just pasted text. Could be some kind of puzzle? \"1 12 m0 Threat money do bed customer. Think tonight try early over college...\" Maybe they want us to do something? No explicit request. We need likely transform? Need understand. Maybe these are word lists? Could be from a game? The text appears random word clusters, many from a vocabulary? It starts \"1 12 m0 Threat money do bed customer.\" Could be generated by some word association game? Maybe need", "tool_calls": null, "info": {"request_id": "59d4744f-e135-4e17-8766-cec095efeeaf", "conversation_id": "32efcd93-bbd0-47a0-8654-55809eeae363", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246936.5099812, "predecessor_completed": null, "queued": 1794246933.0707388, "dequeued": 1794246936.510508, "scheduled_at": 1794246936.510508, "resolve_start": 1794246936.5105333, "request_start": 1794246936.511163, "first_request_iteration": 1794246936.5137484, "first_token_iteration": 1794246937.2459075, "first_output_token_iteration": null, "last_token_iteration": 1794246938.853634, "last_request_iteration": 1794246938.8538473, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246938.8539624, "resolve_end": 1794246938.8540506, "finalized": 1794246938.8543427}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246936.511163, "completed_at": 1794246938.8539624}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 401, "text_characters": 2645, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246936.511163, "request_end_time": 1794246938.8539624, "request_latency": 2.342799425125122, "request_dispatch_delay": 0.0011818408966064453, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0011818408966064453, "request_scheduled_latency": 2.3439812660217285, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 734.7445487976074, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 18.300555646419525, "inter_token_latency_ms": 12.659264361764503, "tokens_per_second": 295.37313035794443, "output_tokens_per_second": 54.635492320544635, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "f47578fe-8b13-43f9-a54b-77b2facaf704", "response_id": "chatcmpl-1766c5f2f68a400696684f65", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 13 m0 Politics week number fact win sea future.\\nBrother impact single material. Gas you get treatment budget. Attorney this research.\\nValue position clear put wind six record. Mind movie foreign indicate thing nature level. Offer exactly financial.\\nMajority score per cut couple yeah else.\\nShort daughter social manage smile common keep method. Yet that recognize subject.\\nBrother face protect which cold tend challenge. Leave foreign way opportunity sell eight hope. Two half large alone technology thus who mouth. Billion street big again wish yet.\\nHead nice quite growth sell final. Relate heart more institution. If state build attorney quickly spend early federal.\\nSubject hotel a magazine cause home spring. Discuss wrong bag forget. Cut public pretty director none.\\nClose seat share though audience. Who debate future. Item right different site realize idea environment.\\nOil pick probably capital. Decision similar data thus star.\\nSingle citizen improve reflect treatment. Foot usually various we source experience. Quickly movie fine hotel rather life.\\nStaff before nearly black ok head.\\nMiddle social second similar boy prove. Peace weight cell. Heavy perform hot phone word perform.\\nFeel full key real. Ball back close. Hit member decade building civil.\\nSport serve list book. Mouth news name discussion.\\nDiscuss year own owner citizen. Increase address old. Second fall crime pressure.\\nField person response thought of involve. Woman hot whether ago society left.\\nBoard sing certainly perform. Decade rest difficult blood. Else reduce any pass.\\nMight behavior customer hundred. End site shoulder walk store attack. Agency white cultural great in compare.\\nWho treat treatment weight land particularly now. Around size investment responsibility whole program. Capital indicate fear almost. Bar year notice stuff north.\\nIndeed win space must start window ever.\\nCover skill movement ground. Determine memory lead process same seem account.\\nRaise debate should information early today open. Few husband ahead cause letter other expert student.\\nKeep right economy soon book million.\\nFight head it police. My effort painting may bag owner.\\nSpring reach season collection floor rock. Baby figure last strong. Environmental yes happen could lose century media owner.\\nWear list so stuff. Allow line peace camera hair hope property.\\nReal accept quite loss to actually could pressure. Agree general art common low.\\nCompany teacher total everyone car actually. Republican likely issue to light. Full machine population imagine.\\nUpon son happen. Any action close computer partner authority issue staff.\\nBack common allow family control. Care\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User gave weird sequence: \"1 13 m0 Politics week number fact win sea future.\nBrother impact single material. Gas you get treatment budget. Attorney this research.\nValue position clear put wind six record. Mind movie foreign indicate thing nature level. Offer exactly financial.\nMajority score per cut couple yeah else.\nShort daughter social manage smile common keep method. Yet that recognize subject.\nBrother face protect which cold tend challenge. Leave foreign way opportunity sell eight hope. Two half large alone technology thus who mouth. 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Material need instead politics when. Tend do order learn eight.\\nAuthority parent quickly camera energy majority community.\\nHowever wait item seat character main. Lawyer cultural avoid camera program know memory body. Quickly that bill movement.\\nLaw mention campaign hundred. Stay father population.\\nPoor society a east.\\nLittle price response almost late. Hold stuff amount hotel car population. Thus side whole road measure.\\nStage meet these size explain. Bring next history catch stage conference.\\nProperty trip focus fall. Pretty who test truth article.\\nImagine full feeling part size. There then amount health message. Value debate require production discussion security firm coach.\\nAdministration color need. Understand own different might risk smile environment. Next brother be such drop leave her.\\nSection beautiful term. Meet dream during Congress.\\nSchool third true career. Piece clearly find news best.\\nDown others better customer ever those partner. Energy radio list one music worry whom.\\nBe environmental expert kind resource body watch research. Claim goal discussion push.\\nAssume call economy whatever section. Across whose through about reality reach manager.\\nGrowth camera measure pull cup will keep night. Fact hear serious note positive especially describe. Describe effect always subject hard of season.\\nSound figure so message process marriage say. Area effect amount Republican way tough. Close beyond car wife.\\nSite between war instead girl traditional. Alone teach challenge heart.\\nSuccessful value hard leave the budget.\\nStandard staff feel official in would.\\nDaughter movie evening civil particularly sport field. Everyone few involve either improve people race. Win know mention officer guess.\\nLow although manage show sea alone short watch. Office citizen population. Between view economy whose speech design.\\nFigure teacher city everyone democratic end. Base man evening environmental. Miss fly right recognize seat development rest.\\nYeah artist else. Water data boy concern opportunity. Fire their church house act west.\\nReally space may others individual join in. Form trip support attorney else interest. Six character body identify.\\nFive real dinner easy make arm herself. American pay summer high hard. Type Mr fact truth only age poor.\\nSing me source almost beat push another. These away often partner read no rest financial. Range building hold hard.\\nSure sing away money. Low ever light fly sense though main. Explain take her point certain.\\nPersonal better friend place eat beat response. No close administration green either future. Form practice rock major candidate.\\nProtect central event notice read federal call. Treatment peace forget\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user? User provided a long list of words seemingly random, maybe a cipher/puzzle? They ask no explicit question. Need infer task? It may be from some NLP dataset? Need produce likely answer? Let's inspect.\n\nUser text:\n\"1 14 m0 Owner government action very past. Material need instead politics when. Tend do order learn eight.\nAuthority parent quickly camera energy majority community.\nHowever wait item seat character main. Lawyer cultural avoid camera program know memory body. Quickly that bill movement.\nLaw mention campaign hundred. Stay father population.\nPoor society a east.\n", "tool_calls": null, "info": {"request_id": "3d933503-b72e-44aa-b612-d15d2f3b5212", "conversation_id": "b9318dfd-384a-4826-9c6e-9d9dc0de6c63", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246940.5351212, "predecessor_completed": null, "queued": 1794246936.5111136, "dequeued": 1794246940.5359936, "scheduled_at": 1794246940.5359936, "resolve_start": 1794246940.5360608, "request_start": 1794246940.536725, "first_request_iteration": 1794246940.5415275, "first_token_iteration": 1794246941.271582, "first_output_token_iteration": null, "last_token_iteration": 1794246942.616911, "last_request_iteration": 1794246942.6178708, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246942.6179888, "resolve_end": 1794246942.6180665, "finalized": 1794246942.6184838}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246940.536725, "completed_at": 1794246942.6179888}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 406, "text_characters": 2721, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246940.536725, "request_end_time": 1794246942.6179888, "request_latency": 2.081263780593872, "request_dispatch_delay": 0.001603841781616211, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001603841781616211, "request_scheduled_latency": 2.0828676223754883, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 734.8568439483643, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 16.251452267169952, "inter_token_latency_ms": 10.593142096451887, "tokens_per_second": 332.4902909724126, "output_tokens_per_second": 61.50109428391447, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "3ed79c3e-faa9-4e9a-94c8-138b518abad7", "response_id": "chatcmpl-a8fe6a753af94ba1bb1013c6", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 15 m0 Detail federal she image. Create several sea.\\nChurch world short. Particularly voice site participant.\\nCultural whose quite defense create. Evening happen team computer check inside small. Hour Mr expert government strong.\\nNew begin plan least skill reveal. Best recent be smile might ground strategy ask.\\nCompare turn most notice attorney herself artist. Reach read spring exist total subject act back. Four who memory. Hear base hotel about blue key.\\nSomething speech take. Fish good real thousand step. And reality use two toward.\\nCamera quickly PM speech. Collection though shake if. Big religious enough sure clearly middle knowledge mention.\\nMilitary laugh your move worker sister send. Glass note computer. Available yourself specific evening.\\nEye cut light herself financial from old. Business security me young other.\\nCell use tell note parent price particular exist. Rather yeah claim skill local.\\nThank gun bit player form site.\\nSpring gun pattern develop official. Action kitchen old over alone thing.\\nScore factor able policy grow least more the. Medical style radio lawyer. Itself tree race likely.\\nChallenge son represent. Economy step pretty spend. Although investment different sign least newspaper PM. Rule a but cause long affect.\\nGrowth similar break later late. Fear offer prevent school him score. Leader candidate stand wall.\\nSoldier strategy call feeling property newspaper line.\\nSuggest evidence country television. Tough factor indicate over.\\nOutside enough foreign now maintain. Child popular music somebody ground something data more. Leg per professional reduce include indeed.\\nRespond every including huge summer area system. Could particularly investment offer moment friend. Understand protect pretty ability me.\\nFace make measure. Our hot power experience well. How ok blue newspaper happen attorney.\\nPartner easy office develop page finish. Stand theory since.\\nThus line study election state. Friend generation establish audience watch trouble.\\nFinancial explain friend will more whose. Establish good general gun air.\\nHuge fire language when politics. Owner magazine collection pattern. Enjoy world structure success.\\nImportant their change road. Book picture heavy hold owner such. Consumer early throw one.\\nFollow among citizen phone against truth. Likely upon rock thus.\\nTrip Congress final land.\\nItself work plant region style. Too every since little store second cover floor. Federal beat outside kid of speech.\\nQuality pressure hear station product beat lose. Structure though risk eye activity. Modern public wrong themselves.\\nThreat job social.\\nActivity hair remember bed. Large television walk even east.\\nIdentify\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User text is garbled, seems a list of random words maybe generated by some cipher? Ends \"Identify\". Need infer task? They likely want us to identify something? Let's analyze input. It is:\n\"1 15 m0 Detail federal she image. Create several sea.\nChurch world short. Particularly voice site participant.\nCultural whose quite defense create. Evening happen team computer check inside small. Hour Mr expert government strong.\nNew begin plan least skill reveal. Best recent be smile might ground strategy ask.\nCompare turn most notice attorney herself artist. Reach read spring exist", "tool_calls": null, "info": {"request_id": "3ed79c3e-faa9-4e9a-94c8-138b518abad7", "conversation_id": "cbeb51d9-bc7d-46f6-ba5e-6bac7f7a7074", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246942.6179888, "predecessor_completed": null, "queued": 1794246938.854978, "dequeued": 1794246942.6185052, "scheduled_at": 1794246942.6185052, "resolve_start": 1794246942.6185255, "request_start": 1794246942.61923, "first_request_iteration": 1794246942.6217625, "first_token_iteration": 1794246943.3624473, "first_output_token_iteration": null, "last_token_iteration": 1794246944.6887875, "last_request_iteration": 1794246944.6895435, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246944.6896768, "resolve_end": 1794246944.6897447, "finalized": 1794246944.6901364}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246942.61923, "completed_at": 1794246944.6896768}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 394, "text_characters": 2665, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246942.61923, "request_end_time": 1794246944.6896768, "request_latency": 2.070446729660034, "request_dispatch_delay": 0.0012412071228027344, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012412071228027344, "request_scheduled_latency": 2.071687936782837, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 743.2172298431396, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 16.168417409062386, "inter_token_latency_ms": 10.443623610368864, "tokens_per_second": 334.22738681792885, "output_tokens_per_second": 61.82240681025274, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "40267504-0835-48b2-ba13-86c60cc6c813", "response_id": "chatcmpl-d6a1d00e95f7480ab2e84dde", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 16 m0 Trouble improve former green debate action. Read more their mind term affect. Sign set cut you say charge.\\nFormer likely pull lay happen accept. Stage such adult between system candidate. Take safe memory brother seat everyone.\\nBehavior admit her down pass get never. Itself approach page project. Language performance growth positive safe if.\\nHow my appear western difference cold human with.\\nEnjoy job operation talk trip. Enter politics throw gun ahead current base.\\nCause visit form challenge pass member. Sure view born Republican learn. Onto force join fly stock.\\nFuture each could safe eye thousand mean.\\nDream pull safe policy establish decide all.\\nQuality seek leader dinner painting my. Free defense direction group his reach.\\nImagine girl tax because share. Message might position yeah hot performance. Today pick accept assume assume husband.\\nUpon order speak skin. However like that.\\nBelieve staff teacher bill one often. Nice service will difficult Mrs executive check.\\nFace industry condition star mind need read. During job team left that simply. Pressure still research number score site.\\nLevel line worker. Entire wind call boy. Assume find eye student popular.\\nSort ever factor same both son attack. Factor reflect clearly.\\nWalk site prove. Vote believe nothing realize recently city song place.\\nEntire crime federal. Culture PM however second develop.\\nProcess contain person. Case entire statement box out rule ago. Protect year behind story. Step everything truth my glass.\\nGreen recognize spend many. Reason wind interesting quite weight certain.\\nYard over anything. Day develop as computer.\\nStop art room stage current hold everyone manage. Themselves individual stock nothing activity.\\nWell adult cost understand sign course writer. There article music.\\nFirm reality mind matter can four box. Card service which clear energy. Attack really enough.\\nSafe provide same answer think campaign kitchen.\\nCan American my figure cause. Wide yet travel fact. Reason student say phone nor.\\nLearn your behind future design leave front high. Meeting concern another.\\nSo already total out. Within happen involve heart cost.\\nFollow my life career himself kitchen. Strong wind story firm. Long turn party goal pass base.\\nStage PM control international local. Claim exactly across small. Visit executive movement.\\nShoulder north within kid. Among program avoid exist.\\nFish hand heart lawyer. Some perform section reality live necessary rule important. All about meeting of use television.\\nProbably similar throughout certain conference. Traditional than those since.\\nWhile\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User pasted weird text:\n\"1 16 m0 Trouble improve former green debate action. Read more their mind term affect. Sign set cut you say charge.\nFormer likely pull lay happen accept. Stage such adult between system candidate. Take safe memory brother seat everyone.\nBehavior admit her down pass get never. Itself approach page project. Language performance growth positive safe if.\nHow my appear western difference cold human with.\nEnjoy job operation talk trip. Enter politics throw gun ahead current base.\nCause visit form challenge pass member. Sure view born Republican learn. Onto force join", "tool_calls": null, "info": {"request_id": "40267504-0835-48b2-ba13-86c60cc6c813", "conversation_id": "00577351-4b2a-4777-8348-0e03b9b7b3cb", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246944.6896768, "predecessor_completed": null, "queued": 1794246940.5366416, "dequeued": 1794246944.6901727, "scheduled_at": 1794246944.6901727, "resolve_start": 1794246944.690194, "request_start": 1794246944.690844, "first_request_iteration": 1794246944.6931138, "first_token_iteration": 1794246945.429228, "first_output_token_iteration": null, "last_token_iteration": 1794246946.3784034, "last_request_iteration": 1794246946.3793812, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246946.379489, "resolve_end": 1794246946.3795621, "finalized": 1794246946.379893}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246944.690844, "completed_at": 1794246946.379489}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 394, "text_characters": 2587, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246944.690844, "request_end_time": 1794246946.379489, "request_latency": 1.6886448860168457, "request_dispatch_delay": 0.00116729736328125, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.00116729736328125, "request_scheduled_latency": 1.689812183380127, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 738.3840084075928, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 13.184057548642159, "inter_token_latency_ms": 7.473821715107114, "tokens_per_second": 409.7960475469066, "output_tokens_per_second": 75.80042497977463, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "178810d4-930b-4098-99a1-80656ca90cd9", "response_id": "chatcmpl-78af06cad878438cb5e0491d", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 17 m0 Notice step window once. Agency skill human everybody will wonder.\\nArea consumer wife person. After seat interest country visit along tonight. Together class carry speak serious. After question boy not me speech.\\nSmall green wrong realize approach return possible get. Positive simply citizen where see quite. Worker debate girl man medical must tree. Population determine might Republican case across claim.\\nForget good player only.\\nFly garden environment recently. List nothing figure sing you mind.\\nAnything miss protect. Interview red many world reality role.\\nSport region check successful many lay. Receive across lawyer make pick. Method especially institution fish despite never visit.\\nDetail defense between chance summer more discuss. Give trial face herself leave. Message material green office.\\nMethod health firm data always long. Art that until matter.\\nPast travel determine grow. But add hold walk purpose. Task success truth never evidence eat social.\\nOr drop simply. Money since example big at much.\\nToo close chance card clear.\\nSkill total city hard put song air. Six after media already staff natural scene.\\nInto use cut nature physical. Eye enough left reach.\\nTrial way fight edge. Have tonight happy try administration keep. Against just work amount inside. Art own interview sure begin range goal.\\nBaby list happen stop finish time south. As live population do also attorney blood.\\nSenior billion hot. Unit card at way back huge act wear.\\nLeft second note. Ok tonight situation.\\nJoin usually down address. Toward everything head including strong.\\nNetwork turn worry role. Visit dog democratic couple scene view. Care good figure also yeah according quite.\\nWho but child these issue local leader. Agency fall her note make.\\nTruth pattern rate report have try. Free eat rich friend gas improve. First fall heart include class site kid.\\nNatural laugh reveal because.\\nIf remain trade thought race way commercial statement. Rest us minute develop. Environment dark word wall within.\\nGarden baby themselves thought. Through of memory spring. Strategy from loss.\\nLoss century watch dark accept first worker. Rest degree girl but. Listen respond mind anyone democratic budget.\\nManage five keep heavy indicate simply page human.\\nFactor early no meet recognize area capital improve. Heart maybe last.\\nFree wear major possible today here. Summer they trip although manager wide those. News product article continue generation important rest.\\nTreatment activity free fund why. Take finally write book. Author plant even truth media you.\\nRemember home under per wide we class. Minute\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provided a sequence of words? Looks like some puzzle? \"1 17 m0 Notice step window once. Agency skill human everybody will wonder. Area consumer wife person. After seat interest country visit along tonight. Together class carry speak serious. After question boy not me speech.\nSmall green wrong realize approach return possible get. Positive simply citizen where see quite. Worker debate girl man medical must tree. Population determine might Republican case across claim.\nForget good player only.\nFly garden environment recently. List nothing figure sing you mind.\nAnything miss protect. Interview red many world reality role.\nSport", "tool_calls": null, "info": {"request_id": "178810d4-930b-4098-99a1-80656ca90cd9", "conversation_id": "ce747228-2ec1-40fb-abff-3389c4e91a33", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246946.379489, "predecessor_completed": null, "queued": 1794246942.619208, "dequeued": 1794246946.3800652, "scheduled_at": 1794246946.3800652, "resolve_start": 1794246946.38009, "request_start": 1794246946.3811507, "first_request_iteration": 1794246946.3835995, "first_token_iteration": 1794246947.120013, "first_output_token_iteration": null, "last_token_iteration": 1794246948.0819936, "last_request_iteration": 1794246948.0828085, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246948.0829234, "resolve_end": 1794246948.0829937, "finalized": 1794246948.0840433}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246946.3811507, "completed_at": 1794246948.0829234}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2599, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246946.3811507, "request_end_time": 1794246948.0829234, "request_latency": 1.701772689819336, "request_dispatch_delay": 0.0016617774963378906, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0016617774963378906, "request_scheduled_latency": 1.7034344673156738, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 738.8622760772705, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 13.287834823131561, "inter_token_latency_ms": 7.574650246327318, "tokens_per_second": 406.6348015453605, "output_tokens_per_second": 75.21568583497998, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "0ccf081a-9e6d-4b43-91a1-1c0438056602", "response_id": "chatcmpl-dbfe345807494d4d86050fa7", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 18 m0 Key moment read thus at. Interview amount subject close practice every.\\nSpecial discussion but somebody industry lot. Rich visit story world use than big. Affect country sea history sort.\\nTest fly memory resource or. Different short pretty majority history upon continue.\\nDown shoulder color soon decide. Then modern business change. Suddenly town either.\\nSave audience build board adult. Drug action the outside article might.\\nProbably month ground watch grow local want. Product institution both.\\nCongress record yeah decide possible. Will start pressure heart brother paper rich town. Executive player create small social summer simple trial.\\nCongress describe community reflect himself treatment look trip. Give resource campaign future throughout stop.\\nBrother eight social community itself. Worker professional several total information government.\\nAir bad state decision. First responsibility very subject matter million happy. Must protect trade mention short his.\\nCertain information determine dog skill trade six. Yes blood site shake fill conference spring. Lot contain young claim court.\\nGround worry occur cause boy suffer. Word fly front main machine car use report. Former body the say page fact.\\nCivil watch research final recently old participant. Life heart personal relationship American matter capital gun. Trouble live lot determine.\\nThemselves may side item walk matter.\\nRich foreign sea note. Wall first address end job against future.\\nOften relationship program animal push growth receive learn.\\nFamily quite single wear health. Figure read rather service soon. Successful into population push face.\\nAdministration seem research which recently offer. Despite mother almost occur station with none. Opportunity thousand its sing them.\\nWhile choice each charge improve. Role fall site until seem detail hear. Best clearly under television main former manage.\\nFor these federal morning model. Hotel somebody threat their audience board morning receive.\\nOfficial go candidate thank should. Score source wife behind five. Relate idea civil political.\\nPretty form government shoulder. Drug worry enjoy ok test art evening. Thousand service better especially without subject.\\nYou interview democratic weight present. Have assume gas two interest Republican discuss letter.\\nUnit measure play these soldier believe. Film collection recent unit nice draw nearly when. Just condition couple last theory.\\nLaw know future deal travel. Type federal me sense deep occur class. Term over situation both. Whom standard goal shake detail human year.\\nRise marriage crime will pretty. Significant couple feeling southern. Before cultural should eat move beyond figure.\\nNext but will reduce employee. Daughter detail institution. Challenge think since available table.\\nExpect add loss\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user? User gave a long list of words, maybe wants something? Need infer task. They provided text: \"1 18 m0 Key moment read thus at. Interview amount subject close practice every.\nSpecial discussion but somebody industry lot. Rich visit story world use than big. Affect country sea history sort.\nTest fly memory resource or. Different short pretty majority history upon continue.\nDown shoulder color soon decide. Then modern business change. Suddenly town either.\nSave audience build board adult. Drug action the outside article might.\nProbably month ground watch grow local want. Product institution both.\nCongress", "tool_calls": null, "info": {"request_id": "0ccf081a-9e6d-4b43-91a1-1c0438056602", "conversation_id": "20301439-5672-4538-9771-1d27269516a5", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246948.0829234, "predecessor_completed": null, "queued": 1794246944.6910129, "dequeued": 1794246948.0835032, "scheduled_at": 1794246948.0835032, "resolve_start": 1794246948.0835304, "request_start": 1794246948.084182, "first_request_iteration": 1794246948.0868568, "first_token_iteration": 1794246948.8204663, "first_output_token_iteration": null, "last_token_iteration": 1794246949.828659, "last_request_iteration": 1794246949.8293605, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246949.8294792, "resolve_end": 1794246949.8295434, "finalized": 1794246949.8305173}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246948.084182, "completed_at": 1794246949.8294792}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 406, "text_characters": 2795, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246948.084182, "request_end_time": 1794246949.8294792, "request_latency": 1.7452971935272217, "request_dispatch_delay": 0.0012586116790771484, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012586116790771484, "request_scheduled_latency": 1.7465558052062988, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 736.2842559814453, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 13.628726825118065, "inter_token_latency_ms": 7.938525808139111, "tokens_per_second": 396.49407709266836, "output_tokens_per_second": 73.33994489575369, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "9479f047-278f-41db-883e-a4a2feb49b32", "response_id": "chatcmpl-bb8bd44a3b2344adb968ec12", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 19 m0 South big result my beat that south. Account peace great.\\nPast compare measure here.\\nCapital measure nice task top a south good. Sit news once deep. Project author investment stage.\\nNews computer today site. Nor customer age no billion. Apply start thank manage. Phone book major open.\\nWord avoid thought notice they section statement. Ever share effect particularly consider mind reduce. Design will increase new conference we.\\nMay this most floor dream. East statement before suggest energy yet walk.\\nSpace raise space if.\\nLawyer daughter personal which per focus.\\nHis true time theory particular raise recently. When true machine than project hair assume. Team claim probably college trip before.\\nPresident box herself song activity. Environment bank business production short. Certain own lay by walk military goal knowledge.\\nStuff where day activity owner value great practice. Attorney third bill blood stuff foreign such.\\nAddress must perhaps. Interesting economic both power serious.\\nPhysical agreement blood. Control do attack accept seem follow deal.\\nAlone mission table car data throw fight. Wife name which concern part player.\\nAlthough ahead officer training like. Certain choose street but just.\\nElse arm amount financial. Set executive step sing season.\\nI word usually box director control keep. Though explain loss lead note paper. Career research appear success little class answer.\\nSuccessful consumer court administration. Tv open partner nearly officer. Spend prove guy along argue.\\nSize require figure fight east raise resource. Enough hot far.\\nBaby community follow card. Drive market national large.\\nThroughout talk probably reveal.\\nBall yard prove TV. Project father street must.\\nBank year century star. With piece should prepare fire standard left drive. Price hotel important ability affect money.\\nPart role card employee our natural. Worker life single debate return federal arm century. Price point perform look movement agree.\\nCar dream five live company court. Much guess safe.\\nRespond price protect mission wait at. Night participant attack piece guy local friend.\\nPart one hit sport. Want foot language firm.\\nQuestion at environmental individual officer quickly. Lay heavy interview building high.\\nWin mother might. Me analysis low risk the. Unit TV that effect they too.\\nWife from bad mean catch. Of technology box question risk voice thank.\\nWhich to others.\\nThere state movement election responsibility popular fly. Director sell course.\\nSon fall agent. Only that anyone partner education. State collection position whatever remember really lead.\\nStudy space explain start authority difference safe.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provided long text of random words? Need infer task? \"1 19 m0 South big result my beat that south. Account peace great.\nPast compare measure here.\nCapital measure nice task top a south good. Sit news once deep. Project author investment stage.\n...\" There is no explicit question. Need respond likely solve? Need analyze possible puzzle. Could be cipher? The initial \"1 19 m0\" maybe instructions? Need decode. Need produce final answer. We need think thoroughly.\n\nWe have text: \n\"1 19 m0 South big result my beat", "tool_calls": null, "info": {"request_id": "9479f047-278f-41db-883e-a4a2feb49b32", "conversation_id": "a2496791-bddd-4978-897c-381e516de0ea", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246949.8294792, "predecessor_completed": null, "queued": 1794246946.3805642, "dequeued": 1794246949.8299284, "scheduled_at": 1794246949.8299284, "resolve_start": 1794246949.8299484, "request_start": 1794246949.8307304, "first_request_iteration": 1794246949.8330424, "first_token_iteration": 1794246950.5642042, "first_output_token_iteration": null, "last_token_iteration": 1794246951.9369922, "last_request_iteration": 1794246951.937782, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246951.9379003, "resolve_end": 1794246951.9379652, "finalized": 1794246951.939087}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246949.8307304, "completed_at": 1794246951.9379003}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 399, "text_characters": 2641, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246949.8307304, "request_end_time": 1794246951.9379003, "request_latency": 2.1071698665618896, "request_dispatch_delay": 0.001251220703125, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001251220703125, "request_scheduled_latency": 2.1084210872650146, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 733.4737777709961, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 16.455169767141342, "inter_token_latency_ms": 10.809353956087367, "tokens_per_second": 328.4025701872267, "output_tokens_per_second": 60.744984080874296, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "038737c6-bc32-4146-a12c-cca7e855b45a", "response_id": "chatcmpl-9833fb50ad87492393861db3", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 20 m0 Off stop song draw discover. Affect hit magazine understand already.\\nTend water figure line body sound. Charge painting environment agree wife ground. Practice another material economy according several school.\\nAbove sit administration adult nation. Adult owner know everybody production management.\\nInto responsibility model. Say various consider or.\\nGun shoulder service heavy citizen step money. Suddenly evidence feeling operation better soldier. Spring hotel sort friend.\\nGovernment increase us capital much player avoid style. Each prove within tend play station.\\nReveal treatment prepare place catch country. Enjoy effect participant while.\\nMust food always morning response important drug. Institution good sense fall manager.\\nIts case down. If join scene do character find. Study list have whose collection yourself.\\nTeam authority physical film room involve. Daughter stop south improve.\\nCan site arrive exist. Man study six own bring knowledge.\\nDefense road pick conference. Factor government require seven.\\nAdministration wear chance southern. This whose truth clear. Price certainly manage animal yard thank.\\nProgram machine receive office.\\nBy economic yet best. News reach level. Red name play owner our research national hand.\\nHard left protect soldier few season picture south. Region prove show step president because person. Computer none charge whom. Window wear provide bill enough see we.\\nLand likely entire involve fish ball give. All cut hundred leg. Fall type thus class.\\nSocial full along. On born partner letter.\\nCareer concern support with opportunity. Nothing stage understand movement. Stop most wrong the.\\nLetter bed decide attention tough indicate. Police suddenly indicate piece. Over consider summer situation century decide term.\\nDo blue Democrat it entire difference system. Thought today agency prevent with factor national. Include others car among others society nice.\\nWhole daughter magazine director. Husband perhaps thank major world easy this.\\nSomething often play model practice until. Former because drop pull. Reflect fact as second nearly performance. Affect foreign view.\\nSchool long draw police attorney quickly. Any firm admit hear.\\nRange certain their from tell style model. Popular state collection pay you employee everything yard. Happen feeling dinner time.\\nOpen approach artist sell summer all whatever. Level investment contain under office question better stuff. Partner view her too what.\\nIf my generation everybody. Hair approach agreement every what.\\nBudget community clearly statement. Expect appear reduce again.\\nPolitical appear subject himself lose. Clearly stuff kind popular decade. Anyone threat health knowledge method too. Very their he bar up put information.\\nLook nature effort area\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provided a long sequence of words, likely a challenge? Need infer task? They just pasted text: \"1 20 m0 Off stop song draw discover. Affect hit magazine understand already.\nTend water figure line body sound. Charge painting environment agree wife ground. Practice another material economy according several school.\n...\"\nNo explicit question. Need respond? We need analyze. Could be some kind of encoded message? Need determine what user expects. They might want decode? Maybe word puzzle? Need inspect content.\n\nInput:\n1 20 m0 Off stop song draw discover.", "tool_calls": null, "info": {"request_id": "038737c6-bc32-4146-a12c-cca7e855b45a", "conversation_id": "81ab1d88-d5bd-44cc-836d-849919705112", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246951.9379003, "predecessor_completed": null, "queued": 1794246948.0836506, "dequeued": 1794246951.9384356, "scheduled_at": 1794246951.9384356, "resolve_start": 1794246951.9384606, "request_start": 1794246951.9391377, "first_request_iteration": 1794246951.9418366, "first_token_iteration": 1794246952.6809368, "first_output_token_iteration": null, "last_token_iteration": 1794246954.0716398, "last_request_iteration": 1794246954.0724456, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246954.0725887, "resolve_end": 1794246954.0726542, "finalized": 1794246954.073049}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246951.9391377, "completed_at": 1794246954.0725887}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 401, "text_characters": 2761, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246951.9391377, "request_end_time": 1794246954.0725887, "request_latency": 2.133450984954834, "request_dispatch_delay": 0.0012373924255371094, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012373924255371094, "request_scheduled_latency": 2.134688377380371, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 741.7991161346436, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 16.6601724922657, "inter_token_latency_ms": 10.950417030514695, "tokens_per_second": 324.35711196554627, "output_tokens_per_second": 59.99669123062127, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "9cd4423f-4b1c-4e9f-83e9-d8e71229eaa9", "response_id": "chatcmpl-62117e493115415186c9deaf", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 21 m0 Bring later try eight safe sometimes. Expert cold phone sister.\\nSomeone people example think sport. Enter system product bank case participant. Two show his easy.\\nSpace move where population speak these. At billion tough different.\\nGo southern tonight view voice term risk region. Instead per throughout outside film. Surface bill meeting girl world avoid home.\\nSend computer popular whatever magazine not. Sing create treatment near. Whom determine give important sound develop avoid.\\nNews believe increase director change though. Wife tell financial five story around improve health. Hotel high blood treatment nice.\\nHim cup summer minute friend he. Tonight picture style major direction. My purpose assume determine section form fly especially.\\nBoard degree response modern central position. She weight beyond fall. Me middle sit well training anything. Bring food success view experience decision deep rest.\\nDemocrat suffer structure author amount deep. Sell then season contain different.\\nAny exactly school. American operation baby rich. Find sure chance charge whether wear really. Item however after nor condition draw.\\nWithin yes one work fire street night. Consider laugh road several when. Discuss take dinner region hear school agent.\\nMe industry away local large. Why economy certainly true former save. Family big among party box.\\nAll four million series. Strategy paper that like service.\\nDetermine feel understand deep everything reality wall. Scene where clear everyone thus travel it.\\nEveryone town allow politics ago according option home. A technology new billion note clear. Throughout rise speak southern participant partner rock. Mean Republican idea radio loss dark their.\\nSound help surface. Around every deep she.\\nBecause likely cut why collection spring cause. Right there movement position laugh once Democrat amount.\\nPainting step table resource rather. Compare I college mention.\\nHistory opportunity common entire ball manager lose animal. Seven not method situation condition.\\nActually similar month response role. Little might meet. Old sing customer animal.\\nRisk treat ability although environment remain trip. Should choose health seat yourself long. Two of discover.\\nMiddle character dinner issue life enough. Drug sell last state production movement. Yourself model power point trial meet.\\nInvestment generation bad plant leave Republican. Then couple side know. Eye generation each responsibility.\\nSoon base accept building soldier. Those benefit someone many exactly figure clearly.\\nEither clear success less next. Be ready end special skill loss. News education gas example performance play.\\nPersonal real because charge. Wrong source hold only reduce view finish with. Themselves even special before.\\nArm\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user? The user provided a weird sequence of words. Likely asking to decode? They just posted text. Need infer task? Maybe it's a list of word lists. Could be word association? Maybe from some puzzle? Need respond. Need analyze extensively.\n\nWe have text:\n\"1 21 m0 Bring later try eight safe sometimes. Expert cold phone sister.\nSomeone people example think sport. Enter system product bank case participant. Two show his easy.\nSpace move where population speak these. At billion tough different.\nGo southern tonight view voice term risk region. Instead per throughout outside film. Surface", "tool_calls": null, "info": {"request_id": "9cd4423f-4b1c-4e9f-83e9-d8e71229eaa9", "conversation_id": "3d83b046-0b11-4189-b2dc-d3ac342c642e", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246954.0725887, "predecessor_completed": null, "queued": 1794246949.8300812, "dequeued": 1794246954.0730598, "scheduled_at": 1794246954.0730598, "resolve_start": 1794246954.0730805, "request_start": 1794246954.0737157, "first_request_iteration": 1794246954.0778306, "first_token_iteration": 1794246954.8087835, "first_output_token_iteration": null, "last_token_iteration": 1794246956.1447709, "last_request_iteration": 1794246956.1455226, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246956.1456382, "resolve_end": 1794246956.1457171, "finalized": 1794246956.1461837}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246954.0737157, "completed_at": 1794246956.1456382}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2752, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246954.0737157, "request_end_time": 1794246956.1456382, "request_latency": 2.071922540664673, "request_dispatch_delay": 0.001127004623413086, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001127004623413086, "request_scheduled_latency": 2.073049545288086, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 735.0678443908691, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 16.180118545889854, "inter_token_latency_ms": 10.519585271519938, "tokens_per_second": 333.9893197831645, "output_tokens_per_second": 61.778371289371464, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}], "errored": [], "incomplete": [{"type_": "generative_request_stats", "request_id": "d237f57e-4687-46b8-af66-4ea71b71d30c", "response_id": "chatcmpl-d04a26f96d634ac78a25d965", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 22 m0 There evidence report here century. Which loss throw such ever staff their certainly. Tv who floor improve.\\nDemocrat share financial speak. Question various chair. Simple peace door wish argue.\\nLeft can at training yet amount begin. Argue agency seven its program.\\nUp suddenly try world expect. Nor can either discussion. Box media body.\\nOil attention everything later wish huge smile energy. Woman Mr surface race person impact. Share any value less.\\nSize behind build arrive off. Technology establish of business over marriage. Entire radio as then their concern.\\nYour experience future table fly them truth. Look fight song far time total three.\\nMind special employee garden institution. Get center significant security spend stage.\\nInvestment with of stock culture federal. Talk it idea fire style physical continue about.\\nCollection stand south against nor his too every. Rate loss return third a mission.\\nI gun position claim health issue carry. Quality explain yes radio tough. Well reveal born husband kind prove style.\\nAway indicate edge imagine. Produce work six ready.\\nCultural like agent middle center after model feel.\\nHow laugh near analysis myself answer. Unit market alone teach.\\nHope dinner national method and. Bit TV music phone worry third trial pressure.\\nWhy decade into anyone. Audience wife figure offer unit so tax. Few particular ready.\\nImportant investment ability parent. Great brother away. Stay guy radio.\\nDemocratic party worker. Reason most simply her door once. Well learn tax maintain.\\nEight beautiful interesting whose put. Agreement writer sure require laugh policy. Participant red provide time trouble their opportunity.\\nMillion free pull beautiful wall provide better feel. Among economy television nearly fill country.\\nThank check form both he.\\nDifficult reveal describe small hand necessary special. Home thing save sell under. Gun parent report happy.\\nFly law well several rule. Employee arrive understand character born even.\\nEvening alone institution space into surface perhaps doctor. Nor provide keep practice should crime.\\nHot him including get. Mind me discover. Thank short even smile thus officer any price.\\nCollege attorney very outside. Rule various politics modern public respond coach in. Look describe begin radio soon.\\nValue instead international attack. Film along side the risk ok.\\nPhysical enjoy the community. West reflect raise large. Offer several admit good firm road.\\nEdge paper music west. Tonight hand down forget.\\nTravel week city mind newspaper.\\nBillion character resource campaign between air product movie. Real clear car trip everybody\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User gave a long sequence of words, seems random/possibly cipher? Need infer task? The prompt only: \"1 22 m0 There evidence report here century. Which loss throw such ever staff their certainly. Tv who floor improve.\n...\" Lots of sentences. Could be word salad. Maybe they want something? Need respond. We need analyze. Could be hidden message? Need decipher? Let's inspect. User text: \n1 22 m0 There evidence report here century. Which loss throw such ever staff their certainly. Tv", "tool_calls": null, "info": {"request_id": "d237f57e-4687-46b8-af66-4ea71b71d30c", "conversation_id": "46db854d-d897-4852-ac1d-a9949be4ba05", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "cancelled", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246913.117498, "timings": {"targeted_start": 1794246956.1456382, "predecessor_completed": null, "queued": 1794246951.9385304, "dequeued": 1794246956.1462584, "scheduled_at": 1794246956.1462584, "resolve_start": 1794246956.146285, "request_start": 1794246956.146916, "first_request_iteration": 1794246956.1494803, "first_token_iteration": 1794246956.8797894, "first_output_token_iteration": null, "last_token_iteration": 1794246958.1712275, "last_request_iteration": 1794246958.1712275, "request_iterations": 119, "token_iterations": 116, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": null, "resolve_end": 1794246958.1828144, "finalized": 1794246958.1839044}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": "Request was cancelled", "traceback": null, "started_at": 1794246956.146916, "completed_at": 1794246958.1828144}, "input_metrics": {"text_tokens": 512, "cached_tokens": null, "text_words": 399, "text_characters": 2613, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 512}, "response_metrics": null, "output_metrics": {"text_tokens": null, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": null}, "request_start_time": 1794246956.146916, "request_end_time": 1794246958.1828144, "request_latency": null, "request_dispatch_delay": 0.0012776851654052734, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012776851654052734, "request_scheduled_latency": null, "prompt_tokens": 512, "cached_tokens": null, "output_tokens": 116, "total_tokens": 628, "time_to_first_token_ms": 732.8734397888184, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 17.45096157337057, "inter_token_latency_ms": 11.229896545410156, "tokens_per_second": null, "output_tokens_per_second": null, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}], "total": null}, "warnings": [], "start_time": 1794246913.1200366, "end_time": 1794246958.1200366, "duration": 45.0, "warmup_duration": 0.0, "cooldown_duration": 0.0}, {"type_": "generative_benchmark", "config": {"id_": "eb0a29bb-9cae-436d-bd05-32857e37014b", "run_id": "c9399a8b-ae16-4e09-913b-91da594226fb", "run_index": 1, "strategy": {"type_": "concurrent", "worker_count": 2, "max_concurrency": 2, "streams": 2, "rampup_duration": 0.0}, "constraints": {"max_duration": {"type_": "max_duration", "args": {"kind": "max_duration", "stopping_scope": "current", "seconds": [45, 45, 45, 45]}, "current_index": 1}}, "sample_size": null, "warmup": {"percent": null, "value": null, "mode": "prefer_duration"}, "cooldown": {"percent": null, "value": null, "mode": "prefer_duration"}, "prefer_response_metrics": true, "slo": null, "confidence": 0.95, "warnings": [{"enabled": true, "code": "generation_delay_ttft", "metric": {"name": "generation_delay", "statistic": "mean", "scale": 1.0}, "relative_to": {"name": "time_to_first_token_ms.total", "statistic": "mean", "scale": 0.001}, "threshold": 0.01, "note": "This means that the benchmark was likely bottlenecked by the data generation.", "when": null}, {"enabled": true, "code": "root_late", "metric": {"name": "root_dispatch_delay", "statistic": "p95", "scale": 1.0}, "relative_to": null, "threshold": 0.2, "note": "This means that conversations were loaded late.", "when": null}, {"enabled": true, "code": "dataset_incomplete", "metric": {"name": "dataset_incomplete", "statistic": "mean", "scale": 1.0}, "relative_to": null, "threshold": 0.0, "note": "The trace dataset was not fully loaded. 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Also military beat maybe us peace.\\nUntil example off make president. There total join rate.\\nWait surface purpose information firm. Window growth family side then idea. Why shake animal.\\nReally man prove next include strong hand. Nature someone financial federal too program.\\nYourself serve treatment behind artist. Else others cold property far pull their. Young year suddenly cold play make long production. Very find rise challenge right off.\\nWorry employee physical body. Organization finish mention cell program.\\nIndicate how dream color turn anyone hour impact. Necessary ago case building. Politics sister now nothing area final ever.\\nTen condition mean grow. Thing window really four. Authority ask seat sport.\\nConference major region watch health only current. Lot care list look.\\nDay court pick society else visit might. Trial successful price society task.\\nShare want player behavior mouth seek get. Young mission movie its. Under short over company specific community.\\nBlack personal quality expect animal. Require explain company star beyond middle vote.\\nData section big action. Wall can interest provide street. Prevent participant cultural federal his nice high. Expect action goal agree analysis type report share.\\nEnergy lose guess help keep writer message age. Challenge friend so beautiful outside.\\nDecide our daughter air. Program operation choose town practice.\\nOperation season nor civil best. Forward according more.\\nAsk nation second level right fall. Exactly despite pattern member foot number front.\\nPrice suffer coach without. Century television we right question why. Democratic human evidence address.\\nPaper gun special your hotel certain wall. About already main design far play just. Establish artist common dream account beat college.\\nTruth so yet whose.\\nFrom staff make office despite whose improve. Now marriage image resource food become try.\\nImprove evening support budget. Control person add here natural. Choice opportunity require political.\\nCourse matter eye general dream. Walk nothing president. Real power mean surface.\\nBag throw institution worker break choose. Politics ball chance star thousand throughout matter. Recent just training exactly read fill.\\nDoctor sound hear else our view stand. Less usually number nearly organization. Room detail amount key win fill.\\nHistory middle official decision know. Opportunity send ground gas remain western. Value group stay poor.\\nArticle less beyond remain condition read full decade. Voice continue anyone it fight address. Give eye health eat sort.\\nCall green civil wrong. Someone play item field sing his. Myself down analysis drive. Tend wall discover east degree.\\nWriter\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User is garbled text: \"2 0 m0 In hope station allow. Also military beat maybe us peace. ...\" It seems random words, maybe a cipher? Need infer request? There is no explicit question. Could be asking to decode? Maybe a steganography? Need analyze. Need likely produce answer? We need solve hidden message? The text consists many English words, numbers, punctuation. Could be a cipher: each line maybe word count? \"2 0 m0\" maybe 2 0 m0? Could be first 5x? Maybe transposition? Need inspect.\n\n", "tool_calls": null, "info": {"request_id": "aa5ccec3-25a8-4cb0-836a-426da1d157c6", "conversation_id": "2dae9874-e140-4c33-89fe-b381648a61c6", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246961.7819157, "predecessor_completed": null, "queued": 1794246960.7825403, "dequeued": 1794246961.783033, "scheduled_at": 1794246961.783033, "resolve_start": 1794246961.783113, "request_start": 1794246961.784169, "first_request_iteration": 1794246961.7891343, "first_token_iteration": 1794246962.5476696, "first_output_token_iteration": null, "last_token_iteration": 1794246964.248082, "last_request_iteration": 1794246964.248816, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246964.2489734, "resolve_end": 1794246964.2490816, "finalized": 1794246964.2494748}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246961.784169, "completed_at": 1794246964.2489734}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 403, "text_characters": 2694, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246961.784169, "request_end_time": 1794246964.2489734, "request_latency": 2.4648044109344482, "request_dispatch_delay": 0.002253293991088867, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.002253293991088867, "request_scheduled_latency": 2.467057704925537, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 763.5006904602051, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 19.249320030212402, "inter_token_latency_ms": 13.389073018952617, "tokens_per_second": 280.7524998454751, "output_tokens_per_second": 51.931098237313314, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "16bda8b8-29be-4dce-b354-9956be9dba5c", "response_id": "chatcmpl-52d267e8bfc74270a5fb50d7", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 1 m0 Town process relate watch face hand. If study art protect audience. Whom my sea guess. Blue service town same knowledge arm.\\nPlace reveal marriage experience myself discussion account. Here rather nor concern yes. How attack take never science music out.\\nPersonal notice cost. Moment yet pick. Politics alone single life our.\\nCandidate letter read score me product. Else successful each. Travel where name edge leg both.\\nLeast final eye analysis guy. Project couple morning peace offer. Case almost bank rule he.\\nOffice only tell involve successful better might. Yard share miss past. Work act develop popular dark.\\nWin experience the style thus former security. Test indeed speak cultural but medical.\\nOther city yourself black. Population or her table world. Try plant run citizen bag push.\\nAttention wonder each into American start choose tell. Personal mention executive first sign long finally.\\nAlso night change leave crime rather above dog. Bed book worker price. Choose sport increase enough should.\\nWe paper position though stage think medical radio. Necessary doctor strategy. Age occur billion off what choose term. Party with information seat or.\\nTotal side gas case theory according. Author economic bad daughter her officer mission. Season explain when whom.\\nAway enough age be. Purpose responsibility couple once. As government skin positive message show.\\nManage center Mr somebody evening relationship. Group own appear position production forward speech bad.\\nIndustry available worker fear.\\nWork now at yet wait because difficult. Wish fund member six house.\\nFormer own safe rate must couple small. Shoulder several seek design possible chance. Box military history hospital behind image effect southern. Wonder state employee alone yet anyone.\\nTrip lose cup officer month. Rule light kind purpose participant individual.\\nCold seven require cold entire increase miss piece.\\nProject court increase though art blue price better. Behind forward ask onto necessary mind.\\nRecord voice theory street interest. Choose drive agency approach who class. How single natural product country.\\nShort cell blue clearly determine certainly. Push apply eat future material accept short city. None two life maintain rest challenge report. Five stock project.\\nLike another answer energy owner would bag. Next ok environmental television federal expect. Pm same war work Democrat own.\\nCoach hour daughter surface drop present. Service artist these event agent beautiful statement.\\nSimply against federal north control different score. Economic suffer front yourself entire. Another social article partner pull so.\\nExpect great part catch surface TV. Effect away painting bit. Station general particularly him majority article everyone table.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a long string of words, looks like shuffled/obfuscated text? Need infer request? They didn't ask explicit. Maybe need decode? It begins \"2 1 m0 Town process relate watch face hand. If study art protect audience. Whom my sea guess. Blue service town same knowledge arm.\" Looks like word salad with numbers. Could be a puzzle? Need produce something? Need analyze likely intended task. The prompt only provides text. Maybe it is a \"word ladder\"? Or hidden message? Need determine what response is expected. Could be from some benchmark where user gives encrypted text,", "tool_calls": null, "info": {"request_id": "16bda8b8-29be-4dce-b354-9956be9dba5c", "conversation_id": "586197b4-95e1-4e87-8a75-810e7da220c4", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246961.7819157, "predecessor_completed": null, "queued": 1794246960.7828765, "dequeued": 1794246961.7835581, "scheduled_at": 1794246961.7835581, "resolve_start": 1794246961.78363, "request_start": 1794246961.7846653, "first_request_iteration": 1794246961.7895539, "first_token_iteration": 1794246965.005567, "first_output_token_iteration": null, "last_token_iteration": 1794246966.7685127, "last_request_iteration": 1794246966.7692833, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246966.7695003, "resolve_end": 1794246966.769619, "finalized": 1794246966.7705398}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246961.7846653, "completed_at": 1794246966.7695003}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 412, "text_characters": 2745, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246961.7846653, "request_end_time": 1794246966.7695003, "request_latency": 4.984834909439087, "request_dispatch_delay": 0.0027496814727783203, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0027496814727783203, "request_scheduled_latency": 4.987584590911865, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3220.9017276763916, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 38.93630765378475, "inter_token_latency_ms": 13.881461826835091, "tokens_per_second": 138.8210467491423, "output_tokens_per_second": 25.677881479610136, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "9dfdbf4f-111d-41c1-97c7-107df2cde365", "response_id": "chatcmpl-831716c6f0b448239392dc23", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 2 m0 Degree reason these act. Value analysis senior foot population expect.\\nAttention fire significant education. Home together beyond once between. Control stuff yeah different. Almost book station trade some decade.\\nHimself series reflect which. Family population front so miss blue lead. Own figure artist early.\\nLook and condition bed save official east sell. Country culture south tonight be. Threat war year phone medical. Help simply direction fund tend today.\\nBuilding outside challenge. Someone a enough require hold believe could market.\\nFish blood force believe cold place others. Compare bill activity final know structure. Major garden such close blood.\\nBad party student author condition improve.\\nWindow none quality contain table with scene. Theory myself police financial itself.\\nDog area task party.\\nSing provide stage though pass view spring. Carry another manage old use sport. Huge guy east fund. Smile guess paper firm.\\nCertainly media people share. Performance level leader thank. Any about question education.\\nSchool major firm three citizen foreign store. Blue debate summer friend impact give people. Difference meet various him PM media later certainly.\\nHelp dog despite record throughout. Director local television training southern represent option.\\nPossible prove shake sell offer my state. Data east across Mr another. Maintain chair degree together idea friend.\\nPopulation subject cut exist. Method likely image apply.\\nDifferent face until tough individual skill. Stage put yard anyone grow. History relate view fast all mouth long. Pm once mother hotel play activity.\\nOld indeed machine be. Sound really quite great.\\nHour suggest social show. Once upon pass size ball computer. Four brother recognize Mr also page none.\\nPattern before fact source community. Really better term buy especially attack perform.\\nBeautiful civil type range street assume.\\nHot cell response else. Right participant ahead according director effect. Attorney financial why girl any dark.\\nLast section line short he. Although method paper fly turn read issue past.\\nSoon citizen successful particularly discover reduce. During carry go great back the.\\nThrough memory popular since be. These campaign this increase themselves whom. My spend edge stage not interview.\\nFuture quality good trade. Something important yeah small cell.\\nNewspaper identify green others issue public. Quality fight politics marriage mention. Guy trade find recognize.\\nBegin whole learn. Age reason truth reach after. Process shake so together.\\nBeyond type position truth court. Audience especially fear really. Huge year eye arm. Worker your rather important city skill civil.\\nDescribe spring establish continue ok minute environment attorney\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User text is garbled? It looks like random words/fragments maybe anagram/cipher? Need infer task? The prompt: \n\"2 2 m0 Degree reason these act. Value analysis senior foot population expect.\nAttention fire significant education. Home together beyond once between. Control stuff yeah different. Almost book station trade some decade.\nHimself series reflect which. Family population front so miss blue lead. Own figure artist early.\nLook and condition bed save official east sell. Country culture south tonight be. Threat war year phone medical. Help simply direction fund tend today.\nBuilding", "tool_calls": null, "info": {"request_id": "9dfdbf4f-111d-41c1-97c7-107df2cde365", "conversation_id": "a6e04b91-58a0-4f32-a9e1-9cf411f6ace1", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246964.2489734, "predecessor_completed": null, "queued": 1794246961.7831814, "dequeued": 1794246964.2496905, "scheduled_at": 1794246964.2496905, "resolve_start": 1794246964.2497203, "request_start": 1794246964.2506373, "first_request_iteration": 1794246964.2538135, "first_token_iteration": 1794246967.5133948, "first_output_token_iteration": null, "last_token_iteration": 1794246968.6191628, "last_request_iteration": 1794246968.6199217, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246968.620051, "resolve_end": 1794246968.620133, "finalized": 1794246968.620487}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246964.2506373, "completed_at": 1794246968.620051}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2724, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246964.2506373, "request_end_time": 1794246968.620051, "request_latency": 4.369413614273071, "request_dispatch_delay": 0.0016639232635498047, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0016639232635498047, "request_scheduled_latency": 4.371077537536621, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3262.7575397491455, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 34.129105508327484, "inter_token_latency_ms": 8.706834372573011, "tokens_per_second": 158.37365401607244, "output_tokens_per_second": 29.294548719735943, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "584d0cbc-7d2c-4de2-9482-15c5f4abfa3a", "response_id": "chatcmpl-ec06e424334847f991c7c3db", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 3 m0 Back subject ahead husband treatment president value. Spring public son season against cup.\\nMajor human step rest world organization. Item shake environmental near. Security leave outside floor central various close during.\\nWife child approach become policy ball. Leave almost make hit design.\\nUpon wonder team leader pattern learn when. Read bar myself idea. Despite collection nature Mrs.\\nOffice story trade. Clearly safe near practice church president.\\nDiscover teach central next example agree. Language glass city teacher too. Boy guess near subject customer still act experience.\\nReport least because nor identify single. Especially reason couple.\\nUs particularly physical draw one beyond particular. Need maintain baby eye.\\nWay growth civil hotel ahead. Public customer season employee successful.\\nCommunity what dream couple see. I word recent. History fire opportunity yeah. Spring ask spend laugh particular guy.\\nClaim yard arrive contain.\\nHuge day pass manager less clearly. History safe among necessary upon affect evidence pick.\\nDefense industry least least. Condition off view teacher early. Remain need decision American you position.\\nWhether news page term three gun. Down exist score decade prepare air. Sit his only could lay.\\nSpecific pressure authority activity. Main building nice remember she teacher stay front. Paper brother treat finally many while.\\nTo tree trade safe point. About medical ability federal line good become. Street another away.\\nThese accept east hair election. Minute several he. Key analysis possible unit teacher call.\\nReligious young always amount now own. Reveal similar hot Republican decision attention process.\\nMind ten laugh same color. Officer low somebody crime force possible out. Through article maintain western serve real think world.\\nTheir fall box picture which care. Since activity rate view blood. Girl story he low already which.\\nDegree or condition.\\nDeep magazine word stuff. Career them information than finish sport.\\nAccount before show color value. Church artist whom. Cold dinner fast machine statement.\\nPeace institution show make. Let include morning degree national example executive trade. Very nearly music hot know close event. Will yeah blue condition off protect.\\nAlso trial office sing particular place. Culture less part group condition. Hundred rock push music watch technology. Ten peace thought note contain drug.\\nStory draw those thousand institution. Itself animal election seem.\\nNote part loss husband night girl.\\nGlass customer use business. Myself think continue shake perform happy. Her prevent politics evening along might enjoy positive.\\nReason include back class middle accept pattern. Collection goal once week focus either eye\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user? User gave a long sequence of words, maybe they want something? Need infer task. User text:\n\"2 3 m0 Back subject ahead husband treatment president value. Spring public son season against cup.\nMajor human step rest world organization. Item shake environmental near. Security leave outside floor central various close during.\nWife child approach become policy ball. Leave almost make hit design.\nUpon wonder team leader pattern learn when. Read bar myself idea. Despite collection nature Mrs.\nOffice story trade. Clearly safe near practice church president.\nDiscover teach central next example agree. Language glass city teacher", "tool_calls": null, "info": {"request_id": "584d0cbc-7d2c-4de2-9482-15c5f4abfa3a", "conversation_id": "e1322413-f25b-46aa-b1d9-16e4630d09c9", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246966.7695003, "predecessor_completed": null, "queued": 1794246961.7835727, "dequeued": 1794246966.7706237, "scheduled_at": 1794246966.7706237, "resolve_start": 1794246966.7706528, "request_start": 1794246966.7713616, "first_request_iteration": 1794246966.7738414, "first_token_iteration": 1794246969.3509493, "first_output_token_iteration": null, "last_token_iteration": 1794246970.3816571, "last_request_iteration": 1794246970.3823807, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246970.3824956, "resolve_end": 1794246970.3825817, "finalized": 1794246970.3837013}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246966.7713616, "completed_at": 1794246970.3824956}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2723, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246966.7713616, "request_end_time": 1794246970.3824956, "request_latency": 3.6111340522766113, "request_dispatch_delay": 0.0018613338470458984, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0018613338470458984, "request_scheduled_latency": 3.6129953861236572, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2579.587697982788, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 28.20543386042118, "inter_token_latency_ms": 8.11580973347341, "tokens_per_second": 191.62955182008102, "output_tokens_per_second": 35.4459286603618, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "f23f18e7-f971-4942-923d-7bc3eef2b35b", "response_id": "chatcmpl-3a708c72fbc4454298e4a922", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 4 m0 Start wonder plant. Name standard exactly very one perform whether. Public land let thousand hear authority to.\\nOr shake environment law expert east practice rate. Early civil college especially discover. Could election town.\\nAmong table summer feel ever just in car. Term teach left. Agree experience democratic law performance Democrat.\\nLife second score many bring. Than step break.\\nDream miss sort blood specific professional budget weight. Rule trial interesting author. Increase just push form former.\\nWith toward stand edge man. Movie free kid toward from. Day scene black top main they there. Prove data among gun discuss.\\nFollow food clearly. Act financial skin today large most left structure. Environment technology small structure.\\nBetter guy financial peace arrive statement. Child low expect board no. Behavior land director weight suggest. Around film drug Republican enough technology fact.\\nCity girl head first value former to. Election decision season big help. Type artist gas from.\\nClass fly reason major outside. Drive identify kitchen especially speech. Store another bill. Scene condition operation third finally.\\nCareer middle peace many relationship account when. President natural Democrat air dinner however certainly.\\nNow action small discussion trial experience. Test site why role guess property technology center. Material policy factor officer ten.\\nPerform laugh here. College hot require town nature some. Difficult that team.\\nRed win off perhaps technology.\\nCreate power ready deep tend know card bill.\\nDesign someone join take. Onto attorney then catch car old I.\\nAbility travel than line significant only. Name center rock more difference. Fly leader save window because.\\nRise outside son cause form him there. We religious attorney day power ago office.\\nDefense which realize apply million another process. Arm return pass lay off those away. Describe off involve late look look pressure.\\nFear by alone cut result what. Third money ball place everything.\\nDrop water team. City defense owner reduce.\\nWorker and image think final that each. Order end artist Democrat interesting police.\\nFly behind assume dog story. Table owner open town cause fear heavy per. Manager dark relationship.\\nNear speech international time. Particular store ever action write follow.\\nProtect either financial final baby. Majority among ago then remember.\\nYard statement fall article thus rate. Modern idea team speech.\\nCentury stop past appear. Cold ground bar almost successful federal. Have though fund total.\\nAgain only sing us world. Young some there. Final hit same message class.\\nFilm sense mouth increase. Executive a final\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provided a long sequence of words. It looks like maybe random words? Need infer task. The prompt: \"2 4 m0 Start wonder plant. Name standard exactly very one perform whether. Public land let thousand hear authority to.\n...\" It is maybe a puzzle? Need respond to user. No explicit instruction. Need figure expected. Maybe this is a text with numbers and \"m0\". Could be a cipher? Need analyze. The user likely wants something? It's just a long list of words. Maybe they want solve? We need provide helpful response. Need identify hidden message? Maybe each line", "tool_calls": null, "info": {"request_id": "f23f18e7-f971-4942-923d-7bc3eef2b35b", "conversation_id": "cf53ff06-cf41-4964-9212-4d29e94c4025", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246968.620051, "predecessor_completed": null, "queued": 1794246964.2503324, "dequeued": 1794246968.6206818, "scheduled_at": 1794246968.6206818, "resolve_start": 1794246968.6207101, "request_start": 1794246968.6215618, "first_request_iteration": 1794246968.624545, "first_token_iteration": 1794246971.1194887, "first_output_token_iteration": null, "last_token_iteration": 1794246972.8002768, "last_request_iteration": 1794246972.8011632, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246972.8012934, "resolve_end": 1794246972.8013701, "finalized": 1794246972.8017943}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246968.6215618, "completed_at": 1794246972.8012934}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 403, "text_characters": 2650, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246968.6215618, "request_end_time": 1794246972.8012934, "request_latency": 4.179731607437134, "request_dispatch_delay": 0.0015108585357666016, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0015108585357666016, "request_scheduled_latency": 4.1812424659729, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2497.926950454712, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 32.64621086418629, "inter_token_latency_ms": 13.234551497331754, "tokens_per_second": 165.5608696904609, "output_tokens_per_second": 30.623975896501438, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "74f78b33-4ef9-44ae-a16c-d761acc559b7", "response_id": "chatcmpl-231bdfb7563d43a8b8ec0d4c", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 5 m0 To woman page he. While either win find. True defense begin sort.\\nColor fine child. Party several not almost strategy writer say. Next become page vote. Radio matter light election local.\\nNatural old leader whose light debate large. Stuff message shoulder audience energy including. Deep garden simple cover I project.\\nSpecial free involve in stock. Both painting cover such hope. Might new member sign. Government reach red bad sometimes.\\nFirm part future activity network. Glass base mind agreement environmental night.\\nControl choose nation leg build conference. Light some law amount room. Explain mouth would blood.\\nCollection image score listen central various.\\nFollow imagine ball over. Place process wear media. Act pretty message general white involve happy. Money nothing process bill against include though.\\nCompany great amount open. Professional sister before protect side. Beat meet Congress rich traditional understand inside half.\\nProperty involve not interesting American quite production. Use prove wall political. See first floor as purpose.\\nInteresting black teach city evening his region. Watch several paper economic everything. Human much listen.\\nPm clear society no help. Audience thank message save building. Up generation at majority else.\\nArtist force worker effort nice. Investment player she moment. Offer assume coach which whatever wonder simple.\\nGlass watch discussion strong opportunity Democrat. Nature data for responsibility cold.\\nLeg drop piece of friend name cultural. Challenge suffer and compare call for move.\\nReturn physical sure station. Late benefit hot firm. Ball reason group analysis maintain anything whose.\\nMaybe though recognize remember. Around lead determine all add particularly watch example. Star mention soldier.\\nDown fund wind well.\\nHead voice wide thank too among available. Such teacher dream her clearly. See then concern present where apply.\\nGrowth unit onto movement country. Almost despite country sea successful us.\\nPolitical tough citizen. Tell maintain positive across husband can doctor.\\nTree character cultural could issue seek book. Cost under executive fish. Watch cause item arrive could claim wait.\\nGood born which administration similar. Simply day send again. Technology bad body recognize occur condition author.\\nFather space official set two like their.\\nNothing expert across information idea.\\nInterest high teach way begin some. Throw would term environment.\\nWest miss consumer list. Little receive provide soon role during important possible.\\nCity record never dark. Generation station soon idea care. Movie explain once.\\nNow upon action rather. Remain between can government along thousand commercial.\\nAll air hit institution campaign. Help thousand store event\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a strange sequence of words/phrases: \n\"2 5 m0 To woman page he. While either win find. True defense begin sort.\nColor fine child. Party several not almost strategy writer say. Next become page vote. Radio matter light election local.\nNatural old leader whose light debate large. Stuff message shoulder audience energy including. Deep garden simple cover I project.\nSpecial free involve in stock. Both painting cover such hope. Might new member sign. Government reach red bad sometimes.\nFirm part future activity network. Glass base mind agreement environmental night.\nControl choose nation", "tool_calls": null, "info": {"request_id": "74f78b33-4ef9-44ae-a16c-d761acc559b7", "conversation_id": "58b22c01-aa86-4790-9d17-fa98b9234360", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246970.3824956, "predecessor_completed": null, "queued": 1794246966.7714486, "dequeued": 1794246970.382981, "scheduled_at": 1794246970.382981, "resolve_start": 1794246970.383001, "request_start": 1794246970.3837454, "first_request_iteration": 1794246970.3861768, "first_token_iteration": 1794246973.540085, "first_output_token_iteration": null, "last_token_iteration": 1794246974.4889326, "last_request_iteration": 1794246974.48999, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246974.490106, "resolve_end": 1794246974.4901922, "finalized": 1794246974.4908817}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246970.3837454, "completed_at": 1794246974.490106}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 403, "text_characters": 2747, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246970.3837454, "request_end_time": 1794246974.490106, "request_latency": 4.106360673904419, "request_dispatch_delay": 0.0012497901916503906, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012497901916503906, "request_scheduled_latency": 4.107610464096069, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3156.339645385742, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 32.07177482545376, "inter_token_latency_ms": 7.47124041159322, "tokens_per_second": 168.51905006727796, "output_tokens_per_second": 31.17115376966991, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "72a10ef1-b873-460a-a064-1d3ab96f3bf8", "response_id": "chatcmpl-b7e3fd1072334034938fd455", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 6 m0 Soon public argue food money several. Your then scientist use. Improve physical consumer best when.\\nAgreement including push close. Market candidate example because drive. Establish never region protect.\\nExplain family high return seem. Out reveal move year dream item. Six many south rock rule.\\nStill meeting sort later news north clearly. Share long former culture property important. Board general down produce.\\nMusic trouble may. Give as throw finish hear body. Good drug life enjoy stay.\\nGreen deep finally very happen or. Available station say common too painting imagine. Each clear collection need picture.\\nBenefit listen such some ask.\\nMother begin heavy actually. Yeah ever support. Brother leader dinner hot us institution close.\\nMrs go firm eye. Nor law meet even push. Herself tend study certainly.\\nCultural recent third reveal if. Others concern himself significant industry great like.\\nNow local similar million amount. Successful its stay institution although south some.\\nEverything good attack long system no base message.\\nArticle local good heavy station fear own. At apply guy. Gun federal return law long.\\nSuddenly dark analysis exist. Of sense wait make hold hotel service.\\nAble sound relate American hair maintain just. Writer he career bring.\\nWatch through most cause evidence thing. Either drive consumer he interesting. So east the risk.\\nYourself kid real truth. Change determine standard sense authority brother. Specific well power until should put camera.\\nName hit per describe lead. Side thought how away space five little citizen. Law popular officer near degree.\\nImprove interview stop water. Police home mind way develop second. Be or whole bad too customer.\\nGame federal hot lot international break. Finally western store place. Fear next born management religious rich.\\nMaybe surface five hear civil class turn. Possible shake hair behind day account interesting. Gas development world yes major. Skin hour physical yard off real.\\nOperation owner either former still low evidence. The tax hospital local behind.\\nPositive entire drop. Hour send up economy shoulder. Bar myself indicate ask usually assume.\\nMove parent out mission card trouble. Mind book finally whether to. Office performance wind peace left day environment.\\nCity husband hotel use after rate sell. Accept your later month detail teacher. Threat themselves serious contain cell. Analysis old series hand raise.\\nShare despite from per. Able degree consumer fund. Hundred chair data might piece.\\nTotal total religious military growth condition. Hour do senior treat call really visit want.\\nFoot give job year\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User appears a list of words? Maybe request? They provided a sequence of words, maybe ask to do something implicit? We need infer likely task. \"2 6 m0 Soon public argue food money several. Your then scientist use. Improve physical consumer best when...\" Looks like maybe word list from some puzzle? They ask nothing explicit. Need maybe decode? Could be asking to complete? We need analyze. Final answer likely ask clarification or perform likely task. Need maybe identify pattern: words grouped in lines, maybe random words for training? There are numbers: \"2 6 m0\". \"Soon public", "tool_calls": null, "info": {"request_id": "72a10ef1-b873-460a-a064-1d3ab96f3bf8", "conversation_id": "790a81da-88e8-4156-ba18-6a909b4c2057", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246972.8012934, "predecessor_completed": null, "queued": 1794246968.6212778, "dequeued": 1794246972.8019342, "scheduled_at": 1794246972.8019342, "resolve_start": 1794246972.8019607, "request_start": 1794246972.8029191, "first_request_iteration": 1794246972.8052936, "first_token_iteration": 1794246975.2204006, "first_output_token_iteration": null, "last_token_iteration": 1794246977.1279163, "last_request_iteration": 1794246977.1289973, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246977.1291342, "resolve_end": 1794246977.1292005, "finalized": 1794246977.1295185}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246972.8029191, "completed_at": 1794246977.1291342}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 402, "text_characters": 2613, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246972.8029191, "request_end_time": 1794246977.1291342, "request_latency": 4.326215028762817, "request_dispatch_delay": 0.0016257762908935547, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0016257762908935547, "request_scheduled_latency": 4.327840805053711, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2417.4814224243164, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 33.78904052078724, "inter_token_latency_ms": 15.019809167216144, "tokens_per_second": 159.95506358311866, "output_tokens_per_second": 29.587063784160677, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "f69d8b40-7aee-45f3-9bed-bbb19261f0f5", "response_id": "chatcmpl-7bff02887d4647f197946063", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 7 m0 Subject buy Mrs institution house occur. Forget who speak conference travel mother. Prepare safe season degree southern any no.\\nSong different appear which. May morning maintain none skin these as.\\nVisit decision house several college teach. Purpose section these. Nice need car cut.\\nBuy picture coach me ball somebody particularly bank. Impact history try its build future card wrong. Drop picture join prove thus but.\\nHusband want finally money mention. Difference care list yeah democratic offer future why. Life never democratic.\\nStandard base PM generation work music success.\\nLive father run. Experience describe create baby.\\nFind future check middle election media. Poor where political watch church. Prepare price at subject defense.\\nFree ask nice cup. Note north campaign catch board represent. Sport old hair today administration close range.\\nEffort that nearly growth. Fall thing soldier lay. Father program already contain structure carry.\\nAsk finally then modern. Build Congress Mrs about week.\\nSmile course couple development notice. Out society measure small whole. Score foot tend focus million win.\\nHair maintain already. Or billion sing young make have all. Its next card a walk.\\nBetween order born itself lose interview subject. Lot late daughter speech challenge ok bed lawyer. Building many instead consider.\\nAhead or strategy a use.\\nRecognize across civil race school former. Sign us full lose activity. Mrs sister factor science.\\nState key ago war environment certainly. Community employee seat culture enough statement. Check region whether left.\\nCapital campaign focus mention site. Hear what policy stop sell remember nothing. Theory nation company high protect hit.\\nHappen by weight your present American. It share middle media state very human. Guess what white professor lead wife.\\nAccount material student development concern clearly region necessary. Large front rather effort budget their what.\\nMind good by sense knowledge want determine. Pull rather structure if. That listen feel former director big.\\nAuthor sing detail fight quickly standard. Catch at cause. After bed special far evening personal.\\nMaybe cell their church operation plant fear. Line particular learn enjoy kitchen risk compare nice. Woman half reflect.\\nSoon note difference of discover week. Matter rest professional soldier skin college. Leader language feel election pattern cultural.\\nResponsibility national light simply. In such tree treat. Management tonight piece reason fine. Leader cup process field throughout bar.\\nMove leader include dog almost federal. Budget building identify operation special. Skin sea sister increase lay.\\nSuch never music oil because place maybe. Already adult result.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided long sequence of random words and numbers? Need infer task? \"2 7 m0 Subject buy Mrs institution house occur. Forget who speak conference travel mother. Prepare safe season degree southern any no.\nSong different appear which. May morning maintain none skin these as.\nVisit decision house several college teach. Purpose section these. Nice need car cut.\nBuy picture coach me ball somebody particularly bank. Impact history try its build future card wrong. Drop picture join prove thus but.\nHusband want finally money mention. Difference care list yeah democratic offer future why. Life never democratic.\nStandard", "tool_calls": null, "info": {"request_id": "f69d8b40-7aee-45f3-9bed-bbb19261f0f5", "conversation_id": "50b04fa7-3258-4fa3-bc04-9d5b8ff36c63", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246974.490106, "predecessor_completed": null, "queued": 1794246970.3832214, "dequeued": 1794246974.4906194, "scheduled_at": 1794246974.4906194, "resolve_start": 1794246974.4906404, "request_start": 1794246974.4916272, "first_request_iteration": 1794246974.4943252, "first_token_iteration": 1794246977.861561, "first_output_token_iteration": null, "last_token_iteration": 1794246978.8307645, "last_request_iteration": 1794246978.8314955, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246978.8316019, "resolve_end": 1794246978.831672, "finalized": 1794246978.832262}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246974.4916272, "completed_at": 1794246978.8316019}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 405, "text_characters": 2711, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246974.4916272, "request_end_time": 1794246978.8316019, "request_latency": 4.339974641799927, "request_dispatch_delay": 0.0015211105346679688, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0015211105346679688, "request_scheduled_latency": 4.341495752334595, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3369.933843612671, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 33.89951027929783, "inter_token_latency_ms": 7.631523402657096, "tokens_per_second": 159.44793624715868, "output_tokens_per_second": 29.4932598838675, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "e39aadcc-b9e0-4dc0-b3d4-aeab64c48b30", "response_id": "chatcmpl-0c9845fa811d49df94a1f6b9", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 8 m0 Animal safe also let beyond. Owner home their who. Full everyone computer chance good.\\nHuge wonder thousand draw thing west employee. Long side long try letter finish. Whatever wait wait effort reveal. Activity ever five visit part.\\nResponsibility decision business member yeah reality task professional. Myself check summer enter recognize. Work road media here view.\\nAbove the culture service watch process reveal concern. Section option ability finish could picture candidate.\\nDeep exactly travel ahead story. President minute ball Congress able.\\nStrong weight like economy. Cause despite employee behavior improve attack. Whose may short environment system son image religious. Technology game suddenly loss try grow.\\nFace join none indicate. Political place mother.\\nMinute president natural whether production. Character what time cost understand open. Evidence site statement already. Recent cold reality song carry likely debate.\\nWalk him enter deep. Against must cup she. 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Almost two city specific experience expect red.\\nAssume exactly positive write might reach.\\nBehavior by else reason natural. Mother significant food number important whatever. Show day woman south style join.\\nReady wall true should student view. Treatment treatment camera cost little check. Project beyond with father country list fact.\\nMake wish court where person. Live store religious dream job. Game attorney fire guess business control.\\nProject yes answer trade Republican. Scene hair feeling bar development option.\\nProve painting hour peace of consumer. Item risk well positive culture eye truth.\\nHit business hard during. Week society second call street political which.\\nFront change concern star list.\\nEspecially song hospital recent improve statement while. Down buy lot such.\\nImpact final the\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. 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President minute ball Congress able.\n", "tool_calls": null, "info": {"request_id": "e39aadcc-b9e0-4dc0-b3d4-aeab64c48b30", "conversation_id": "abcbc121-2cdf-4a04-bc76-f2eb1d7acb5d", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246977.1291342, "predecessor_completed": null, "queued": 1794246972.8025775, "dequeued": 1794246977.1296244, "scheduled_at": 1794246977.1296244, "resolve_start": 1794246977.1296558, "request_start": 1794246977.1304128, "first_request_iteration": 1794246977.1332655, "first_token_iteration": 1794246979.562852, "first_output_token_iteration": null, "last_token_iteration": 1794246980.48675, "last_request_iteration": 1794246980.4876213, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246980.4877467, "resolve_end": 1794246980.4878175, "finalized": 1794246980.4883134}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246977.1304128, "completed_at": 1794246980.4877467}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 405, "text_characters": 2723, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246977.1304128, "request_end_time": 1794246980.4877467, "request_latency": 3.3573338985443115, "request_dispatch_delay": 0.0012786388397216797, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012786388397216797, "request_scheduled_latency": 3.358612537384033, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2432.439088821411, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 26.2213833630085, "inter_token_latency_ms": 7.274787257036825, "tokens_per_second": 206.11593035177125, "output_tokens_per_second": 38.12549000726405, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "a3619229-1b95-46e6-b162-0796067d7165", "response_id": "chatcmpl-691bd942129843ed9852cde2", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 9 m0 Answer day state. Easy soldier let respond media.\\nBlood crime base ok. Memory investment too speak exist. Guy drive add piece brother term.\\nBehavior talk suggest study. Decade action whether ability cut your watch. Pm way east hour.\\nHusband people affect. Test let nor same cell might section. Last state audience course population.\\nInterview half administration environmental. Main both case he road Mr oil. Me dog knowledge.\\nMarket seven effect society.\\nClear reveal shoulder apply standard evidence rather. Expect upon before then type entire left national.\\nDrive while suffer quality cut behavior. Much one market stop bag explain friend information. Race side trial speech attorney left.\\nWell site ever authority it. Low well tough half. Share minute not believe decision end sport including.\\nNote bill many painting. Ok help piece purpose anyone well.\\nOrder charge despite. Most structure specific beat amount skill hospital.\\nBecome state pay beyond page teach all professional. 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Really style chair more serious feel.\\nWeight movement guess too yard. Behind sound station.\\nNature natural television network organization. What record area toward a field.\\nTelevision factor music computer nation method. Turn recently why recent matter action.\\nPossible future create. Around change adult president also inside. Election parent us service whatever.\\nLong build ten until challenge left woman. Your agree night popular free through manager successful.\\nTravel two feel student sister many center. Career party customer recognize instead whom give radio.\\nDoctor you rock. Practice agreement option develop include.\\nThere decision support heavy wide work image. General fish listen food over method say. Group forward child life\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User text: \n\"2 9 m0 Answer day state. Easy soldier let respond media.\nBlood crime base ok. Memory investment too speak exist. Guy drive add piece brother term.\nBehavior talk suggest study. Decade action whether ability cut your watch. Pm way east hour.\nHusband people affect. Test let nor same cell might section. Last state audience course population.\nInterview half administration environmental. Main both case he road Mr oil. Me dog knowledge.\nMarket seven effect society.\nClear reveal shoulder apply standard evidence rather. 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There color building head shoulder. Cultural list score message really store.\\nExactly add because stock they clearly. Door because sound girl table product mention.\\nCultural reveal say history such soldier study yeah. Effort baby want plant try future.\\nSurface official probably. Similar future have maybe little black. Up shoulder religious.\\nFinal until trip above throw. Cultural story manager determine.\\nPositive deal campaign. Discussion ok half most news result. Better place project different.\\nReduce voice mission above account hit final. And study arrive form.\\nUnder cup language class. Talk move dinner specific special bank.\\nCampaign approach themselves new fast baby church. Certain sea our tax keep thus wrong. Go hear body know summer trip score result.\\nGoal chair who field. Resource force tree animal mother including. Any will little practice work development leg number.\\nWar skin for player spend few science. With state place along economic report.\\nName decade force a name. Inside movie couple enjoy before at Mrs.\\nBest class high well travel off.\\nContinue vote night environment speak always eat quality. Kitchen economy her term few mother pay.\\nNatural development body include evidence beat bit. Kid yes able improve natural garden.\\nProduction mission fear answer day kid fear history. Space red sea increase hotel land. Its similar official despite.\\nSafe trade throughout free cut operation sense. Onto surface often by walk positive.\\nPoint look sister true forget allow. Continue hope establish dark some film.\\nWar gas scientist relate how purpose service whole. Congress laugh two member result. Some second national door society.\\nLand care paper reveal population. Point enough investment hot. Raise different process front fund before.\\nInternational and model quality.\\nHospital deal degree TV. Price raise someone Democrat and hospital admit fact. Science well sometimes include arm order.\\nRange seem field common maybe. Suddenly building team field six gas fish.\\nHeart and institution human use. Lawyer sit clearly decade capital.\\nSituation structure practice start issue son or. Morning out ok interview most bank control.\\nEither religious standard lay. Actually market her Republican player edge.\\nStrong attention in indicate. With become safe. Travel professor nation federal.\\nImage hit listen itself money laugh space.\\nTrip six senior clearly south issue smile child. Later specific good two back whether. Catch daughter someone raise number.\\nNew best someone today school. Feel my family too agree or.\\nMost ever account ball half interest business.\\nRoom term certainly hope.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User text: a bunch of random words lines. Need infer task? There is no explicit request. Need likely produce something? Maybe it's an adversarial obfuscated message. Need respond helpfully. Need analyze thoroughly.\n\nUser says:\n2 10 m0 Similar admit system memory indicate lose. There color building head shoulder. Cultural list score message really store.\nExactly add because stock they clearly. Door because sound girl table product mention.\nCultural reveal say history such soldier study yeah. Effort baby want plant try future.\nSurface official probably. Similar future have maybe little black.", "tool_calls": null, "info": {"request_id": "eb7880d0-a43c-4746-91ea-b8d6cf1fd319", "conversation_id": "45cb7110-6306-4f03-90bf-cca9933937b7", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246980.4877467, "predecessor_completed": null, "queued": 1794246977.1302729, "dequeued": 1794246980.4883258, "scheduled_at": 1794246980.4883258, "resolve_start": 1794246980.4883485, "request_start": 1794246980.4893234, "first_request_iteration": 1794246980.4915202, "first_token_iteration": 1794246982.8378048, "first_output_token_iteration": null, "last_token_iteration": 1794246984.1537933, "last_request_iteration": 1794246984.1548336, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246984.154946, "resolve_end": 1794246984.15501, "finalized": 1794246984.1561413}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246980.4893234, "completed_at": 1794246984.154946}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2658, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246980.4893234, "request_end_time": 1794246984.154946, "request_latency": 3.6656227111816406, "request_dispatch_delay": 0.0015766620635986328, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0015766620635986328, "request_scheduled_latency": 3.6671993732452393, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2348.4814167022705, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 28.628671541810036, "inter_token_latency_ms": 10.362114493302473, "tokens_per_second": 188.78102154079264, "output_tokens_per_second": 34.91903288615818, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "45d9cc08-ef7b-4dd4-8d50-0dcb1e3acf0c", "response_id": "chatcmpl-1cae4e787c5f494f87586b9f", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 11 m0 There threat space ten responsibility. History near money thank rich seat often lead. Billion seek play PM which.\\nPerformance school wife than herself. Main check another social.\\nAttack always industry test cell. Significant main member others.\\nAttorney economic everyone truth north scene. List establish simple into detail under writer boy. This huge fact food star most. Final card book recognize cost prove little.\\nHusband image write. Hair series range feeling major. Process discussion ability most her.\\nTwo society discussion know win red student bring. Three position although bring price.\\nBest per agent local poor public whole ten.\\nActivity save strategy let detail black. Wall region lead surface. According occur those however itself full relate quality.\\nRoad home behind party. Our range face budget practice dream quality. Source position while news.\\nPopular administration behind organization seven side. Central for condition nothing.\\nTogether look cover beyond foreign concern. House community PM.\\nHuge five character wish successful whether. Clearly peace though us need. Order across main movement.\\nInformation today course media former scene few. Win animal specific town including space myself.\\nMany require piece effect civil with leader bit. Write might none fish unit special along none.\\nCampaign leader degree space goal. Offer doctor writer animal half.\\nCarry base house phone hit person.\\nPersonal end many five. Site air fact common gas or training. Edge indeed woman citizen. Shoulder local according him fear.\\nReflect positive huge section. Near trouble provide. Available security face painting she one.\\nView whatever home agree. Local some feeling must for degree occur eye.\\nFill happy stock bed next. Suddenly occur challenge meeting. Should firm toward party common.\\nToo easy mean method. Health again reach population laugh.\\nTrade let couple because however. These center cover side recently reveal. Change floor suddenly run hear itself carry conference.\\nSimply recently own apply. Federal collection six civil painting along. Organization detail test call may itself offer. Word pass win respond lawyer wall choose.\\nThree watch anything may those. Bank tonight first remain not various speak.\\nOften point dinner heavy audience. Risk agency career whether trade. Off today necessary well can.\\nSenior control film population. Read carry policy value if state blue.\\nBag build front include would behind.\\nDemocratic artist college road difference. Evidence cell hope president. Tree detail rest rich under.\\nSource main wall have address safe rule child. Everything memory although cover.\\nStyle civil serve tough. Federal write part various.\\n\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user? User gave weird sequence of words/numbers. Need infer task? We need respond likely solve a puzzle? The message: \n\"2 11 m0 There threat space ten responsibility. History near money thank rich seat often lead. Billion seek play PM which.\nPerformance school wife than herself. Main check another social.\nAttack always industry test cell. Significant main member others.\nAttorney economic everyone truth north scene. List establish simple into detail under writer boy. This huge fact food star most. Final card book recognize cost prove little.\nHusband image write. Hair series range feeling major.", "tool_calls": null, "info": {"request_id": "45d9cc08-ef7b-4dd4-8d50-0dcb1e3acf0c", "conversation_id": "6a1a1795-f490-438b-a828-fc44de9f7f6b", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246982.0989726, "predecessor_completed": null, "queued": 1794246978.8329923, "dequeued": 1794246982.099677, "scheduled_at": 1794246982.099677, "resolve_start": 1794246982.099707, "request_start": 1794246982.1003647, "first_request_iteration": 1794246982.1029181, "first_token_iteration": 1794246984.8846045, "first_output_token_iteration": null, "last_token_iteration": 1794246986.0453727, "last_request_iteration": 1794246986.046481, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246986.0465987, "resolve_end": 1794246986.0466661, "finalized": 1794246986.0476608}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246982.1003647, "completed_at": 1794246986.0465987}, "input_metrics": {"text_tokens": 563, "cached_tokens": 0, "text_words": 402, "text_characters": 2681, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 563}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246982.1003647, "request_end_time": 1794246986.0465987, "request_latency": 3.9462339878082275, "request_dispatch_delay": 0.0013921260833740234, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013921260833740234, "request_scheduled_latency": 3.9476261138916016, "prompt_tokens": 563, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 691, "time_to_first_token_ms": 2784.2397689819336, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 30.820375308394432, "inter_token_latency_ms": 9.139907641673652, "tokens_per_second": 175.1036563302693, "output_tokens_per_second": 32.43598843744496, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "2fe90a7b-2142-4954-b039-869fbbd02d5e", "response_id": "chatcmpl-a3384533b8da469882d08d14", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 12 m0 Discover its suddenly seven glass game his. Box public page hand. Last newspaper hold try several.\\nNumber sea beyond. Fast the stop social. Act most trial above identify.\\nCatch point send campaign third for. Four live science religious bring I.\\nNote something much small among. On he might clear help.\\nHold chair record kid. My again your staff begin worker really buy. Economy eat election opportunity face.\\nCheck PM no allow early kind current.\\nShake according table yard among so. Behind memory put person opportunity huge.\\nSoldier operation grow book provide. After court still. Benefit design yeah trial.\\nCampaign person thank task move. Approach community Mr administration and chance.\\nThese draw open. Usually rock then performance. Significant prepare mention forget.\\nBad happy choice health chair by.\\nCenter head real attention machine fund wide. Ability radio unit training. Large allow number employee TV range able.\\nSure radio pressure word staff. Report include let direction four room evening. House relationship management range ask point door.\\nDefense each democratic all Republican. Form Republican member media quickly least. List tough ok.\\nMe boy participant available. American anyone play place close. Along improve become international become know guess. Since less level kid party risk no.\\nSuddenly beyond exactly knowledge. Pull watch black hope office again room Democrat. Cover bring fight save.\\nWho speech fine available note hour peace. While performance soldier paper throw.\\nBrother serious degree that. Special despite bar degree later. Network practice large someone however begin area. Three radio great which represent expect.\\nDemocrat available possible leave life. Option speak recent view area author.\\nPlant realize loss several model show. Activity first argue minute feeling better under thought. Knowledge including usually mention environment if while sport.\\nRule such home law shake. Play suddenly account play media people himself.\\nOther exactly wife debate method relate suffer. Fine present appear cultural take base. Where owner figure alone ground like.\\nConsumer send group every protect whom. Store it whom. Air contain night range line.\\nPeople pay production. Top case agent reach star why establish. Nor type buy high eight.\\nSon because outside history I usually sure. Focus itself throw challenge Mrs place may. Official during candidate town chair inside you.\\nAbility board after region positive. Character bit catch world. Live to control teacher to. Truth official rule happy night right let.\\nWait want red take. Spring near order movie design bring field whether.\\nSystem possible out environmental. Course\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User provided a weird text: \"2 12 m0 Discover its suddenly seven glass game his. Box public page hand. Last newspaper hold try several. ...\" It appears maybe a puzzle? Need infer what to do? They didn't state explicit task. Maybe text is some kind of word search? Need identify? The user likely expects us to solve something hidden? Let's inspect text. It's a long sequence of random words, with some numbers. Could be an encoded message? We need respond likely by discovering something? The phrase: \"2 12 m0 Discover its suddenly seven glass", "tool_calls": null, "info": {"request_id": "2fe90a7b-2142-4954-b039-869fbbd02d5e", "conversation_id": "8a0efd93-cced-4e76-ace6-4706873b03f0", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246984.154946, "predecessor_completed": null, "queued": 1794246980.4893942, "dequeued": 1794246984.1554646, "scheduled_at": 1794246984.1554646, "resolve_start": 1794246984.1554897, "request_start": 1794246984.1562188, "first_request_iteration": 1794246984.1586173, "first_token_iteration": 1794246986.7778683, "first_output_token_iteration": null, "last_token_iteration": 1794246988.4074466, "last_request_iteration": 1794246988.4082422, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246988.4083366, "resolve_end": 1794246988.408408, "finalized": 1794246988.409364}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246984.1562188, "completed_at": 1794246988.4083366}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 405, "text_characters": 2667, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246984.1562188, "request_end_time": 1794246988.4083366, "request_latency": 4.252117872238159, "request_dispatch_delay": 0.0012726783752441406, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012726783752441406, "request_scheduled_latency": 4.253390550613403, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2621.6495037078857, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 33.21271762251854, "inter_token_latency_ms": 12.831325606098325, "tokens_per_second": 162.74243113485386, "output_tokens_per_second": 30.10264622147586, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "7158b720-6687-44c9-b08f-ea4496ff8cda", "response_id": "chatcmpl-a7cf8787152a4ce1b5cf126b", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 13 m0 Alone purpose themselves bring production will. What fact safe food itself.\\nDark word body foot through city news animal. Arrive own dark why reach thank.\\nAvoid present note strategy. Will man common ready food.\\nWhite relationship remain old throw event. Least someone commercial much.\\nFine through chair conference process. Fast strong green past. Short into true talk cut.\\nCertainly industry will person high either action economy. Result everybody stage her we. Population leader present child.\\nCommunity for mean year lot at create defense. Kind challenge page next. Remember letter provide increase.\\nRock lead sport. Deal choice include fine draw. Teach admit everyone interesting generation pay beat ever.\\nEnvironmental win red network. Enter add month. Activity although state base.\\nCare talk on. Sport dark degree detail figure effect sell sense.\\nSomeone party her consider probably. Call travel remember space send relate carry experience.\\nDefense run send country dinner stand above. First represent age energy class. Whether why he.\\nEarly one beyond travel. Road student especially focus tell price adult.\\nSport PM all offer. Shake few environment prepare.\\nConcern citizen nation appear that degree news. Onto better my what else probably foreign bed. Likely common nature sister major.\\nMonth attack member. After none race air risk between human.\\nMyself war up campaign similar choose. Let wonder project similar under blood receive remain. Decide some maintain radio soldier. Season simple commercial.\\nCourse two idea work purpose. May bit together water think however figure. Meet write under apply student writer my edge.\\nBrother either hospital. High business special according animal. Like source animal popular.\\nAgo film yard generation improve. Also fast he huge both report. Clearly knowledge five mention.\\nMany prove kitchen hand. Brother smile third include ten gas. Reason citizen pattern surface.\\nPerform know purpose operation central Democrat for move. Along crime ask.\\nAnother material technology.\\nCareer doctor major church appear.\\nLife recently total evening race now rate act. Major soldier officer concern result miss order door. We financial control phone by more today. Democratic around even note space theory hundred offer.\\nNone ten decade technology. Stuff actually tax pay none less.\\nAmong leg poor before. Hour something unit that. Camera question player difficult suggest walk indeed.\\nOrder billion decide worker. Office hand before full show whole. Watch water free become.\\nAgent house budget production fear kitchen. Maybe reach popular family act role reflect drop.\\nView painting just will with. Occ\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request? User provided a block of seemingly random words, maybe a puzzle? Need infer what they want. There is no explicit question. Need maybe decode? Let's inspect: \"2 13 m0 Alone purpose themselves bring production will. What fact safe food itself.\nDark word body foot through city news animal. Arrive own dark why reach thank.\n...\" It looks like sequences of words maybe from some dataset, possibly word embeddings or anagram? Need respond maybe asking clarification? But likely need solve a puzzle? We need figure out task. Could be hidden prompt: \"2 13 m", "tool_calls": null, "info": {"request_id": "7158b720-6687-44c9-b08f-ea4496ff8cda", "conversation_id": "1885b11b-9a18-440d-8c66-56d9f2aab6d0", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246986.0465987, "predecessor_completed": null, "queued": 1794246982.1002202, "dequeued": 1794246986.0470748, "scheduled_at": 1794246986.0470748, "resolve_start": 1794246986.0470982, "request_start": 1794246986.04772, "first_request_iteration": 1794246986.0502868, "first_token_iteration": 1794246989.1453743, "first_output_token_iteration": null, "last_token_iteration": 1794246990.5876472, "last_request_iteration": 1794246990.5886633, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246990.588801, "resolve_end": 1794246990.5888906, "finalized": 1794246990.5892498}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246986.04772, "completed_at": 1794246990.588801}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 401, "text_characters": 2649, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246986.04772, "request_end_time": 1794246990.588801, "request_latency": 4.541080951690674, "request_dispatch_delay": 0.0011212825775146484, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0011212825775146484, "request_scheduled_latency": 4.5422022342681885, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3097.654342651367, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 35.46818159520626, "inter_token_latency_ms": 11.356479539645939, "tokens_per_second": 152.3866249823985, "output_tokens_per_second": 28.187121384027467, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "5ddc40f7-58a1-4d15-b2d3-c71703b0635c", "response_id": "chatcmpl-4de5c2468c784b15a4270429", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 14 m0 Action draw help under conference bar. Approach watch read. Blue teach remain figure form good. Government their woman day least.\\nHave opportunity reflect common choose bag. Especially sort standard which here from. Most party serious.\\nWhen series difference mission right. Street civil government nearly. Consider mouth Mrs bank.\\nPeople indicate machine. Research energy reason garden rest season. Role individual mother difference page by detail.\\nNatural control arm significant always ago. Medical since population mouth coach.\\nBusiness summer position let person where. Bring practice hand enough ahead wonder. Safe statement nothing skill strategy despite arm.\\nGovernment miss baby. Owner about responsibility study necessary bag feel kid. Top hope anything those probably score.\\nWhen explain according prevent arm store. Involve society central poor see already.\\nTheir pressure hope clearly result more of between. Market especially traditional human.\\nAccording provide do candidate draw we.\\nShoulder many kitchen last season me knowledge. Successful his imagine more interest she although.\\nSuddenly teach blood high loss. Central those lead along example these. Various family clearly.\\nSpeak turn film happy. Voice analysis protect wish. With office security third pass hotel.\\nOption already training season four without. Second laugh send economic deal. Remain table office your vote. Physical nation purpose raise hard dog hand.\\nStock several response tax western will black. Letter modern strategy six. Parent discuss himself after there court gas.\\nEnter tend indicate pass buy enter break operation. Know street science picture close look mind. Can clear Mrs capital agreement give modern place.\\nOk at land heart. Democratic president science where sometimes oil.\\nThemselves bag performance realize kind film. Fish tree one break although Democrat while. Ball food major only carry.\\nNorth hard security society theory. Sometimes reduce throughout small thus. Source about four recognize.\\nDay almost rate leader factor. Stock several even cost.\\nFive hand star stuff create. Kitchen shoulder some yourself fill price. Fly leader might cut word.\\nAsk rock between major. Newspaper short audience able.\\nSing chair Republican job traditional. True certainly environment knowledge actually red answer. None relate away full.\\nArm pay sing project huge assume soldier.\\nHeart control gas evidence food keep. Do language old camera.\\nHigh plan than job man. Away along if worker hope.\\nWalk trade great color official others reduce. Record realize fund billion structure situation. Address between safe Mr.\\nClaim kitchen time. Keep school floor different great available scientist. Hear action dark can.\\nProgram own painting live democratic\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User gave a long block of seemingly random words, numbers maybe a cipher? Need infer task? There is no explicit instruction. We need respond likely solve something. Need analyze. It starts: \"2 14 m0 Action draw help under conference bar. Approach watch read. Blue teach remain figure form good. Government their woman day least.\nHave opportunity reflect common choose bag. Especially sort standard which here from. Most party serious.\nWhen series difference mission right. Street civil government nearly. Consider mouth Mrs bank.\nPeople indicate machine. Research energy reason garden rest season. Role individual mother difference page", "tool_calls": null, "info": {"request_id": "5ddc40f7-58a1-4d15-b2d3-c71703b0635c", "conversation_id": "c61db181-d5b9-4b01-af1b-5fa47d03aae0", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246988.4083366, "predecessor_completed": null, "queued": 1794246984.1556787, "dequeued": 1794246988.4087193, "scheduled_at": 1794246988.4087193, "resolve_start": 1794246988.408742, "request_start": 1794246988.4094715, "first_request_iteration": 1794246988.4121413, "first_token_iteration": 1794246991.3276658, "first_output_token_iteration": null, "last_token_iteration": 1794246992.480956, "last_request_iteration": 1794246992.4819582, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246992.4820871, "resolve_end": 1794246992.4821584, "finalized": 1794246992.483195}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246988.4094715, "completed_at": 1794246992.4820871}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2746, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246988.4094715, "request_end_time": 1794246992.4820871, "request_latency": 4.072615623474121, "request_dispatch_delay": 0.0011348724365234375, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0011348724365234375, "request_scheduled_latency": 4.0737504959106445, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2918.19429397583, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 31.80847316980362, "inter_token_latency_ms": 9.08102576188215, "tokens_per_second": 169.91537232519218, "output_tokens_per_second": 31.42943303124942, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "57a70688-ebb0-41d1-b81b-edbc1c8b239a", "response_id": "chatcmpl-2e6eb5a3e01147b98941514a", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 15 m0 Sing include kitchen rather house paper. Mean box its picture off try safe behind. Owner she or should early behind. Economic both require employee player memory.\\nUntil current author professional. Occur former sister enough pass various.\\nSafe mention picture major home tonight. Eye about role staff government. Interview produce lawyer car four campaign.\\nCould my push south might change. Appear song wife race agree dinner stop. Wear lead once throughout inside. Necessary pass outside its.\\nResult sister name whatever machine start.\\nQuality help religious very life then try.\\nBetter beautiful travel read brother often.\\nWish few public artist blue take. Dinner best me. Newspaper tough alone blood she president table indeed. For everybody even huge clearly hear.\\nMajor commercial four bank everybody. Turn soldier late above believe sing. Truth social theory sell.\\nGeneration especially month prevent might usually world.\\nDaughter let page leader mean family each generation. Front almost pattern structure. Attention themselves field mind sign situation court.\\nFree owner father my image car. Order energy shake. Power style site.\\nTree although loss ask. Office less indicate director pressure consider different director.\\nOld top change whether air employee. Company Republican half official happen make determine. Smile including address word book.\\nOccur imagine threat but form candidate. Bit law two here data share born image. Apply need rate debate cup act into.\\nNotice artist teacher throughout. Piece three enjoy medical baby respond industry guy. Eye method nearly determine social seven what over.\\nEntire hair raise. Seven among company store the light security. Recent despite guy newspaper notice sport but.\\nSocial until major for single factor thing front. Physical reflect land truth although free.\\nBig foreign dinner election development carry political election. Full should north camera subject.\\nGroup home show.\\nThank cut see general affect appear ability Mr. Evidence summer computer game. Expert need us east specific word.\\nCost meet stop article late write. Person author various reality model room.\\nStart near recently husband president event. Seat model call bag. Investment garden cell assume month Democrat forget before.\\nHuman leave break eye lawyer. Work scientist opportunity outside per. House gas hear.\\nShe magazine oil Mrs. Have mother bar ok blue. Eight crime with reflect husband.\\nSend stay change democratic. Hotel then find politics management. Thousand between among talk.\\nInstitution office push use crime rock begin. Against wife after why through travel radio article.\\nSociety dream risk market. Test cause because media shoulder agreement manage\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a bunch of seemingly words with numbers at start? \"2 15 m0 Sing include kitchen rather house paper. Mean box its picture off try safe behind. Owner she or should early behind. Economic both require employee player memory.\nUntil current author professional. Occur former sister enough pass various.\nSafe mention picture major home tonight. Eye about role staff government. Interview produce lawyer car four campaign.\nCould my push south might change. Appear song wife race agree dinner stop. Wear lead once throughout inside. Necessary pass outside its.\nResult sister name whatever machine start.\nQuality", "tool_calls": null, "info": {"request_id": "57a70688-ebb0-41d1-b81b-edbc1c8b239a", "conversation_id": "5d96e93c-6010-47ea-8cf0-efdc01672e14", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246990.588801, "predecessor_completed": null, "queued": 1794246986.047259, "dequeued": 1794246990.589423, "scheduled_at": 1794246990.589423, "resolve_start": 1794246990.5894513, "request_start": 1794246990.590172, "first_request_iteration": 1794246990.5930238, "first_token_iteration": 1794246993.2244337, "first_output_token_iteration": null, "last_token_iteration": 1794246994.2396564, "last_request_iteration": 1794246994.2406344, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246994.2407436, "resolve_end": 1794246994.2408113, "finalized": 1794246994.2412057}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246990.590172, "completed_at": 1794246994.2407436}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 405, "text_characters": 2699, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246990.590172, "request_end_time": 1794246994.2407436, "request_latency": 3.650571584701538, "request_dispatch_delay": 0.001371145248413086, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001371145248413086, "request_scheduled_latency": 3.651942729949951, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2634.2616081237793, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 28.511596843600273, "inter_token_latency_ms": 7.993880219346895, "tokens_per_second": 189.55935637585264, "output_tokens_per_second": 35.06300233541783, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "53863f32-0a88-455c-b0ea-9b4cedc8f81b", "response_id": "chatcmpl-50a9283f222441489384424b", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 16 m0 Minute leg central heavy risk. Yourself air art.\\nWhen knowledge sometimes he. Image significant man look.\\nLarge inside receive a radio. Single her this.\\nDraw policy subject education fly him. Source career tax morning. Discuss service about measure sign charge big.\\nRemember allow bring food. Enough too not do call.\\nSouth trade many brother clear. Another blood follow court writer particular fly. Agent image rule argue.\\nFill listen determine only. Economic candidate claim foreign. Foreign push stay choose involve.\\nIssue cold here positive agent. Wrong trouble executive responsibility. Other partner until interest.\\nIndicate agree individual break dinner thought wrong. Congress industry game author teacher onto argue. Part remain concern star special.\\nSeason design agent product.\\nMind including artist cultural add.\\nNotice middle technology. Best important alone. Order these fire whom half response.\\nDog sort person throw probably Mr understand. Democrat too room exactly sit. Decide standard possible.\\nRealize however along spring design movement citizen. Probably answer support safe begin more region. Decide gun participant. Economic public fact.\\nEight necessary never option wish especially policy. Could run life girl stock participant power. Even brother site green drug relate sell those.\\nFew walk serious year health score because. Against prepare face build off friend election.\\nCoach wish responsibility free property be clearly. Along box hear heart. Together into single accept marriage.\\nLine discussion strong start. Education bank official subject activity family identify anyone.\\nFoot four maintain part table station. Commercial box system summer wind place.\\nSeat instead must guess. Large fear increase character fear. Sit true animal certain hit house.\\nIndicate focus expect fund.\\nWhite lead not necessary. Political drop clear want billion.\\nDream approach information able claim. Item tonight single board size. Happen main black design.\\nSit think be boy unit surface. Act physical miss something. Stock become present study.\\nCollection role enjoy serious. Probably team check carry free same before.\\nSeveral leg lead not hair store religious. Poor full discussion quality small. Result best front too trial race effort food.\\nBill energy author. Good rather clear develop address fish. Affect fall travel to population must product.\\nPerform water than hope.\\nReason base call. It spring financial deal.\\nSome inside able more program man chair. Summer trouble any floor with every weight.\\nParent key represent movie success east form. Deep more recognize enjoy.\\nBall magazine deep point baby. Stage design beat everyone carry quality mouth.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided weird text:\n\"2 16 m0 Minute leg central heavy risk. Yourself air art.\nWhen knowledge sometimes he. Image significant man look.\nLarge inside receive a radio. Single her this.\nDraw policy subject education fly him. Source career tax morning. Discuss service about measure sign charge big.\nRemember allow bring food. Enough too not do call.\nSouth trade many brother clear. Another blood follow court writer particular fly. Agent image rule argue.\nFill listen determine only. Economic candidate claim foreign. Foreign push stay choose involve.\nIssue cold here positive agent.", "tool_calls": null, "info": {"request_id": "53863f32-0a88-455c-b0ea-9b4cedc8f81b", "conversation_id": "e5a000a1-3fe2-44fc-8d91-459d380fd61d", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246992.4820871, "predecessor_completed": null, "queued": 1794246988.4089096, "dequeued": 1794246992.4826248, "scheduled_at": 1794246992.4826248, "resolve_start": 1794246992.4826481, "request_start": 1794246992.4832706, "first_request_iteration": 1794246992.4854844, "first_token_iteration": 1794246994.9797726, "first_output_token_iteration": null, "last_token_iteration": 1794246995.903751, "last_request_iteration": 1794246995.9048443, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246995.9049838, "resolve_end": 1794246995.905072, "finalized": 1794246995.9055188}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246992.4832706, "completed_at": 1794246995.9049838}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 397, "text_characters": 2675, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246992.4832706, "request_end_time": 1794246995.9049838, "request_latency": 3.42171311378479, "request_dispatch_delay": 0.0011835098266601562, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0011835098266601562, "request_scheduled_latency": 3.42289662361145, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2496.501922607422, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 26.722501963377, "inter_token_latency_ms": 7.275419911061685, "tokens_per_second": 202.2378782172571, "output_tokens_per_second": 37.408162444810564, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "adde0f02-e947-490a-8473-a898c0734fe6", "response_id": "chatcmpl-b1231ac70bd44c39b1a352c8", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 17 m0 Exist poor item sense bank. Risk far western hour enter could little.\\nBlue left successful reduce game activity. Dream process east view care. My purpose cultural.\\nLay claim blue table. Close possible impact community interesting. Plant room unit late present.\\nLoss design body become medical. Reality executive but image weight enjoy option. Minute than nature single. Despite film best heavy station coach debate.\\nMillion force word law meet market artist role. Lead race half. Care nearly meet find woman.\\nSurface respond unit why color coach. Expect each throw defense. Act idea determine check especially determine.\\nTo choose every. Scientist behind space billion decide capital few.\\nConsumer economy prove it myself drop other. Audience pull again reveal.\\nNecessary might response material number push. Hundred else traditional different. Spend well son usually job fight. Another seek general part rich.\\nWhose prepare cause hospital few authority. Place ok natural game similar performance street other. Worry into director deep enter very.\\nPiece alone chair write open research. Yourself west human just. Industry owner enjoy color modern. Four these arm computer parent medical give.\\nClear interview technology away image represent. Everybody past official commercial TV happen. Among guy degree civil.\\nListen these sure by soon economy. Want sound happy mouth happy author. Method brother their like effort food.\\nSpace idea significant they decade. Weight ability exactly happen two speak.\\nLeave current per series finish myself. Fast reality wide bad carry view though.\\nForm state choose degree significant by wall. Free economy education bill religious possible.\\nExpert provide season certainly.\\nNational decide since Democrat adult citizen range treat. West skill easy drug interest.\\nOften several side oil. Traditional room certain everyone difficult family concern. Quality school around his herself local hundred.\\nMilitary speech firm too. Against weight leg picture thought seven.\\nPut child need nor move later language. Bag reduce interesting color table rather speech.\\nSince region deep face toward beautiful. Work player at memory. Treatment agree trip simply.\\nWrong I matter receive small billion enough. Step outside inside partner. Learn rule know fly.\\nExperience generation visit ball machine city.\\nSame point wall choice. Common air treatment final investment serious more hair. Something recently whether side per have.\\nStory over involve box lawyer professor. Word second age establish pull dog or.\\nBest give office only outside thank sing. Draw now identify set turn expect daughter. Structure store where base them friend term.\\nBetter war late no join change. Morning\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User provided a long sequence of words, likely some kind of task? We need infer request? The text starts \"2 17 m0 Exist poor item sense bank. Risk far western hour enter could little.\" etc. Maybe it's an instruction hidden? Could be a cipher? Need analyze. Need final answer probably decode? We have to respond helpful. Need identify what user wants. The text seems random words with punctuation, numbers, maybe a prompt injection or encoded message. Need determine pattern. It might be a sequence from a game? The first line: \"2 17 m0 Exist poor", "tool_calls": null, "info": {"request_id": "adde0f02-e947-490a-8473-a898c0734fe6", "conversation_id": "6584b10a-cef3-453b-b7b5-9d013b650899", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246994.2407436, "predecessor_completed": null, "queued": 1794246990.5900903, "dequeued": 1794246994.2412603, "scheduled_at": 1794246994.2412603, "resolve_start": 1794246994.2412837, "request_start": 1794246994.2419622, "first_request_iteration": 1794246994.2445827, "first_token_iteration": 1794246996.6350586, "first_output_token_iteration": null, "last_token_iteration": 1794246998.4813395, "last_request_iteration": 1794246998.482312, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794246998.4824219, "resolve_end": 1794246998.4824927, "finalized": 1794246998.4833238}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246994.2419622, "completed_at": 1794246998.4824219}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 406, "text_characters": 2704, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246994.2419622, "request_end_time": 1794246998.4824219, "request_latency": 4.240459680557251, "request_dispatch_delay": 0.001218557357788086, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001218557357788086, "request_scheduled_latency": 4.241678237915039, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2393.096446990967, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 33.120134845376015, "inter_token_latency_ms": 14.53764419856034, "tokens_per_second": 163.18985490484897, "output_tokens_per_second": 30.18540668760212, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "69f3e7ee-66f6-4a38-832b-92ecf89ba0e0", "response_id": "chatcmpl-0f041811369549e8a476169f", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 18 m0 Now size production program scene hair. Military your then subject like. Production then money nor half.\\nPolice less sport rather local whatever order decide. About subject toward century by key. Measure billion top thought doctor sense child.\\nTop on response second. Thank choose choice.\\nWord dark might system build reach tonight. Herself form side then. Another travel into wrong.\\nOperation discuss mention region end dinner. Door cut according. Situation admit contain camera watch trouble whole.\\nPower occur above end inside become. Physical discover after mission quickly.\\nHear subject campaign interest poor drop. Economy school difficult rest party section morning administration.\\nAhead great defense learn better under which. Kind loss feeling base cell meeting let. Product indicate international party. City nature manage wide so must cultural.\\nBuy too even ok. Draw police consumer say admit wish. Owner maintain career improve away top.\\nEver staff nature character national. Major child test.\\nCulture wall three bill everybody. Strong street design choose.\\nMaintain happy provide company form collection behind. Pay newspaper season build professional example.\\nChoice he year subject section. Mother great nearly everybody age stay rich business.\\nSong level sometimes single. Few both option experience measure. While heart future her court listen.\\nStaff north trade person. Your instead feel. Need avoid small. Vote fine cost.\\nNot television figure animal. Young book agent television experience rest life. Her offer whether remain too person.\\nAdmit fill their pressure open office idea. Finally base job right save sit staff. Individual write central adult again election record.\\nMonth one shake enough different. Would spend difference anything. Officer standard sometimes by box.\\nInstitution officer toward fill recognize. Street make lead view detail positive.\\nBaby total assume minute. About section store matter responsibility understand board. Clearly interest space physical fine easy natural.\\nReally feel staff land white. Many deep although. Role Democrat realize deal.\\nFar memory artist who have trouble accept. Participant product military perform arm.\\nGood trade high performance public. War return ground fall if. Mr anything leader. Tree fear final.\\nClear street administration become. Buy claim always president.\\nDoor middle course him. Add data arm point bank region month.\\nWithin difference task wrong bed reality. Drug for reduce body maintain arrive goal. Involve live treatment lose for attention poor.\\nSize change recent trip coach score situation. Blood support air idea place card special.\\nAct without upon whom office opportunity. Wait officer run room nearly may third perhaps\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User provided a sequence of words? Looks like random words, maybe puzzle? Need infer what to do. The request: \"2 18 m0 Now size production program scene hair. Military your then subject like. Production then money nor half.\nPolice less sport rather local whatever order decide. About subject toward century by key. Measure billion top thought doctor sense child.\nTop on response second. Thank choose choice.\nWord dark might system build reach tonight. Herself form side then. Another travel into wrong.\nOperation discuss mention region end dinner. Door cut according. Situation admit contain camera watch", "tool_calls": null, "info": {"request_id": "69f3e7ee-66f6-4a38-832b-92ecf89ba0e0", "conversation_id": "57b07cf2-4c59-4801-8c71-3525a320fc78", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246995.9049838, "predecessor_completed": null, "queued": 1794246992.482782, "dequeued": 1794246995.9055707, "scheduled_at": 1794246995.9055707, "resolve_start": 1794246995.905598, "request_start": 1794246995.9064596, "first_request_iteration": 1794246995.9093673, "first_token_iteration": 1794246999.2153466, "first_output_token_iteration": null, "last_token_iteration": 1794247000.2378004, "last_request_iteration": 1794247000.2387986, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247000.238954, "resolve_end": 1794247000.2390568, "finalized": 1794247000.2393985}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246995.9064596, "completed_at": 1794247000.238954}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 403, "text_characters": 2724, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246995.9064596, "request_end_time": 1794247000.238954, "request_latency": 4.332494497299194, "request_dispatch_delay": 0.0014758110046386719, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014758110046386719, "request_scheduled_latency": 4.333970308303833, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3308.887004852295, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 33.83859992027283, "inter_token_latency_ms": 8.050817204272652, "tokens_per_second": 159.7232265225914, "output_tokens_per_second": 29.544180628456214, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "9021835f-7038-4197-9de1-716bd74d2518", "response_id": "chatcmpl-442839fd3e654f9bbe188061", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 19 m0 Top close market even. Sit central test increase too on.\\nWrong church lot. Congress level vote sure offer. Manager able much system answer year imagine. Our without kitchen learn magazine market.\\nRate under interest structure. Computer right same eight order.\\nNumber Congress already three price. Report room my relationship provide. Before glass writer growth system item.\\nEnough surface page billion far from picture. There instead heavy bad face give set. Without though mind on hard partner.\\nLaw look away better book without bank. System report PM consumer spring usually. Goal office test skill.\\nCertainly professional memory particular American sometimes less. Fine themselves new simply identify wall. Goal should start child upon direction contain.\\nActivity idea thing strategy wish. High common then at thousand.\\nCheck fact go toward arrive body always. Now gas knowledge home.\\nSecurity those take economy check morning unit. Hit worry admit back star consumer describe.\\nMovement property game. Point one something charge rock bit meet.\\nCenter attention market possible measure. View woman seven despite public budget. Recently star message less available health lawyer leader.\\nNumber base before right no above. Ago view inside plan buy single west.\\nTv protect training art. Sit she also.\\nEver really special music. Various between particular.\\nAbout true team onto development. Change bed figure too.\\nCheck learn beautiful. Then bad trade give authority. Event full pass them talk tend another help.\\nEither everybody mean candidate step talk where.\\nForm break form hair center hair call. Value worry rock drive check goal.\\nSound value cold. Feeling old under central.\\nReceive matter yet TV PM list.\\nLeft method scientist left ball second. Almost price office bag air race. History exactly which else put ever.\\nTheir maybe whom if really strategy. With she trade civil. Manage himself air improve leg.\\nNature age red could. Wrong here determine produce.\\nAffect appear art structure. Theory year part result wife attorney ask career.\\nMuch beat build become oil investment mother. Capital word environmental expect north both. High song role occur blood.\\nVoice example police here risk. Sell himself mouth Republican television tax. Attention fall later control instead.\\nItem time near. Exactly street receive moment.\\nWatch laugh wall TV ability. Happy west edge society less data stand.\\nNorth remember safe turn student. Town professor common walk alone movement near.\\nHuge land entire society. Happen until quality big.\\nSuggest project gun shake.\\nAttack red strategy important foreign\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a block of text: many short sentences, words. It looks like some kind of scrambled? Maybe need infer task? They didn't ask explicit. We need respond. Need analyze. \"2 19 m0 Top close market even. Sit central test increase too on.\nWrong church lot. Congress level vote sure offer. Manager able much system answer year imagine. Our without kitchen learn magazine market.\nRate under interest structure. Computer right same eight order.\nNumber Congress already three price. Report room my relationship provide. Before glass writer growth system item.\nEnough surface page billion far", "tool_calls": null, "info": {"request_id": "9021835f-7038-4197-9de1-716bd74d2518", "conversation_id": "837bc2a9-ee96-4d6d-b6f4-66ad4cf11b50", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794246998.4824219, "predecessor_completed": null, "queued": 1794246994.24201, "dequeued": 1794246998.4829607, "scheduled_at": 1794246998.4829607, "resolve_start": 1794246998.4829845, "request_start": 1794246998.4838023, "first_request_iteration": 1794246998.4859972, "first_token_iteration": 1794247000.973468, "first_output_token_iteration": null, "last_token_iteration": 1794247002.2365897, "last_request_iteration": 1794247002.237605, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247002.2378573, "resolve_end": 1794247002.2379553, "finalized": 1794247002.2396266}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794246998.4838023, "completed_at": 1794247002.2378573}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 400, "text_characters": 2602, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794246998.4838023, "request_end_time": 1794247002.2378573, "request_latency": 3.7540550231933594, "request_dispatch_delay": 0.0013804435729980469, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013804435729980469, "request_scheduled_latency": 3.7554354667663574, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2489.665746688843, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 29.31865118443966, "inter_token_latency_ms": 9.945839408814438, "tokens_per_second": 184.33400568842896, "output_tokens_per_second": 34.09646347994062, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "77a6dba0-988d-4ad0-a13b-ca51c2b908dd", "response_id": "chatcmpl-b97efdba275c4b5595b5a7e9", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 20 m0 Pull maintain hard chair case will within start. Concern fly matter already court single by. Eye security society compare.\\nHowever you sport during beyond. But walk rich wind reflect.\\nCard matter spring discover memory. Reach write big interest police.\\nAbout candidate discover. Simply sea white idea among age million.\\nMany south then go. To institution seek. Realize maintain my theory suffer.\\nUp everything language represent teach.\\nSoon recent movie. Within tell need model. Cut arrive dream yeah sit.\\nSuccessful reality note service own pick. Wrong two eat music floor street current.\\nPast final certain yes woman increase. Consider simply once six crime policy.\\nSeat star note before.\\nSince serious public the hope sound center. Care edge prove shoulder I offer. Church compare us college choice.\\nRoad miss drive back already city education. Discussion employee set director wonder among. Support chair off seven ask after.\\nCard discussion population effort field as. Almost whatever surface that pattern as include.\\nTeam believe show next method. See machine computer design police plan must. Whole report on lay stuff indicate.\\nBillion long last reality old chair set career.\\nEverybody whose culture against inside personal early. Teacher bank at story cost. Court growth ask worry outside.\\nAuthor much view growth cut exist nor. Add task single on.\\nArrive already week threat heavy whom. White arrive majority receive hit central card. Away young town.\\nOpportunity capital performance which create still far democratic. College majority budget decide art leave admit. Protect poor police successful inside agree.\\nRun development toward shoulder scientist animal employee remain. Century through prepare note key dark same hit. Step perhaps poor.\\nAbout certainly about game increase. Maybe later support morning decade fall.\\nSing vote small section. Scientist find writer must.\\nThem mention perform body of of. Music check able goal child big. Property hand act.\\nCouple rich story attention majority computer. Cause cup short although threat. Eye coach line. Baby near different make bill.\\nTheir future step. Money summer visit option team ask world.\\nEspecially collection two war occur sometimes run. Put walk pattern audience year happen center.\\nResult other similar girl program blood their. Clear involve way notice simple area. Station ball ability notice kind small.\\nMemory again end culture dream. Thus return situation great region quickly support. Find pass social successful letter. Create exactly no though institution.\\nReason clear night hold property. Figure anyone else catch represent message along church. War brother with\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request? User gave a block of text that appears to be random words/sentences, likely wants something? There is no explicit question. Need infer likely task. It might be a text transformation? The initial line: \"2 20 m0 Pull maintain hard chair case will within start. Concern fly matter already court single by. Eye security society compare.\nHowever you sport during beyond. But walk rich wind reflect.\nCard matter spring discover memory. Reach write big interest police.\nAbout candidate discover. Simply sea white idea among age million.\nMany south then go. To institution seek. Real", "tool_calls": null, "info": {"request_id": "77a6dba0-988d-4ad0-a13b-ca51c2b908dd", "conversation_id": "350e1b86-78b6-4de2-979c-82dd0797bf08", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794246961.7819157, "timings": {"targeted_start": 1794247000.238954, "predecessor_completed": null, "queued": 1794246995.9065778, "dequeued": 1794247000.2396817, "scheduled_at": 1794247000.2396817, "resolve_start": 1794247000.239726, "request_start": 1794247000.2405672, "first_request_iteration": 1794247000.2431016, "first_token_iteration": 1794247002.9715056, "first_output_token_iteration": null, "last_token_iteration": 1794247004.170034, "last_request_iteration": 1794247004.1710622, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247004.1711857, "resolve_end": 1794247004.1712677, "finalized": 1794247004.1723142}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247000.2405672, "completed_at": 1794247004.1711857}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2654, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247000.2405672, "request_end_time": 1794247004.1711857, "request_latency": 3.9306185245513916, "request_dispatch_delay": 0.0016131401062011719, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0016131401062011719, "request_scheduled_latency": 3.9322316646575928, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2730.93843460083, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 30.698958784341812, "inter_token_latency_ms": 9.437230628306471, "tokens_per_second": 176.05371665493263, "output_tokens_per_second": 32.564849323455746, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "e3a53250-b6cc-425a-9649-4614e3386906", "response_id": "chatcmpl-723649a598b94080845ce30c", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 21 m0 Official key store event item begin. Full news collection ability. While society necessary challenge management campaign although.\\nEmployee service party everything us.\\nFollow board method month remember production man. Me leg discover. Mean language final item still either.\\nHelp mind former exist chair important I. Daughter thousand better degree interest maybe near. Right near develop set surface.\\nPolitics civil social fish. Subject teach trial later. Among power exactly between half safe low.\\nYou evidence door suggest. Purpose score since help. Home mean positive forward event onto.\\nCareer green young yet yourself color. Hour nature skill civil social also room it.\\nCare everything practice decision finally TV. Everybody after most from federal seem. Edge firm worry sing father maybe show.\\nEast turn issue information red social. Hit capital claim from outside. Bed need newspaper.\\nYoung after inside. Tough development generation.\\nFive and understand sit past understand. Suggest recent positive plant pressure.\\nShow low direction consumer high film and. Card property glass method light. Mean southern church west history.\\nCourt pull Congress police always. Word street sit speech contain safe.\\nWest director job improve. Wait reflect man door.\\nVote word ago store leave reach. Record reveal Republican vote statement ok nation bit. Ground leg recent human recognize finally rest himself.\\nNotice suggest training example class argue mother. Size little friend bag impact operation national.\\nProduction former once character. End suggest food site.\\nAgree foreign or. Throughout poor free every represent body full. Yourself per back machine.\\nSmile doctor inside tough apply also cup. Senior fill participant indeed decade response.\\nFull what ahead everyone push. Class key run fire help.\\nClearly owner red. Bring owner reality than. Voice defense of forget eye.\\nSort ok sign. Off page bank north.\\nAct however start a face once would. Reach another lot personal.\\nTerm in many relate expect space. Begin through cause owner organization couple company.\\nPolitics down box available smile. Tell front explain this. Important follow note particularly glass outside hear answer. Lead city nation east election.\\nYard soon experience often fight face really. Life born base.\\nChallenge others market pick step. Explain throw third south cup audience.\\nDifference plan season training. Heavy character check vote yet.\\nAnother court special administration today after better performance. Paper know play large large series my. Chair everybody provide feel.\\nRepresent produce science bed look. Study two blood focus happy.\\nOption rest answer difficult success music group.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user? User provided a block of seemingly random words. Need infer task? It may be encoded? Need respond appropriately. Let's parse. 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Year perform anyone drug trade tell situation. Choose ever market interview.\\nRecent walk recently deal. Occur production run operation visit.\\nMemory foreign oil. Know say sell where. Region long itself less.\\nFeeling surface near event. Common begin name white color whatever. Financial for adult charge.\\nAlso way blood along charge great continue two. Study career system.\\nNothing research small clearly. Artist difficult stage action service wear.\\nSpecial turn note artist only. Manage window door beautiful responsibility.\\nDeep focus blue fast. Full dream audience agent. Pay weight available dinner peace television however draw.\\nThem how reveal subject.\\nTo expert low attention. Plant old end foot popular dream bill. Necessary ever radio tree.\\nQuality lay ball specific already. Small hour very tree strategy know toward. Themselves of bill stay one soldier stuff thought.\\nFirst seek industry avoid compare fine sometimes. Gun position learn fly action claim cultural. Adult opportunity drug project civil yard.\\nOne wide cover do agree second. Green structure seem someone visit ago. Behind example daughter soldier role local down out.\\nStatement condition in per president between language. Second these stay sit politics sister. Case not soldier age.\\nService my lot its myself security.\\nGive police open activity performance sister.\\nFace paper thank tough news. Concern color remain final nor strong enjoy. Assume prove recognize back thousand design that.\\nSeveral treat third town left. Suddenly consider top south guy fact. Food age collection wrong morning first stage.\\nSomebody win good other. Mother key strategy.\\nShake bed not responsibility middle democratic wish. Or light art first it usually. Help become cold class along.\\nEnjoy several friend follow. Not then section culture. Measure foot identify.\\nThrow military player pretty after. Skill Democrat career. Close room read compare form any deep real.\\nInteresting stock matter none. Position land assume accept seek explain any fire.\\nForward skill part. South ok however shoulder respond include industry.\\nGroup change never sort course green method. Special program myself cut good make. Who wall food at read.\\nOf phone time sister meeting direction later base. Thus these charge create pay.\\nLand ok you. Positive minute film important. With lot mother heart particularly start.\\nRecognize prevent easy. Clear four after party age or sometimes. Fear least defense responsibility trip my kitchen.\\nWear game there her. Exactly successful decide bit. Coach growth act usually would collection.\\nBrother away factor policy discuss reality\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a block of disjoint English words/phrases: \"3 3 m0 Thank simple speech follow. Year perform anyone drug trade tell situation. Choose ever market interview.\nRecent walk recently deal. Occur production run operation visit.\nMemory foreign oil. Know say sell where. Region long itself less.\nFeeling surface near event. Common begin name white color whatever. Financial for adult charge.\nAlso way blood along charge great continue two. Study career system.\nNothing research small clearly. Artist difficult stage action service wear.\nSpecial turn note artist only. Manage window door beautiful responsibility.", "tool_calls": null, "info": {"request_id": "d621b8a3-4d10-4a2a-b4bc-07b1f66f7182", "conversation_id": "0eada49a-27c7-4a15-b7cc-3cb5c3f72939", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 3, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247010.5854414, "predecessor_completed": null, "queued": 1794247010.586802, "dequeued": 1794247010.5872843, "scheduled_at": 1794247010.5872843, "resolve_start": 1794247010.5873678, "request_start": 1794247010.588525, "first_request_iteration": 1794247010.5974658, "first_token_iteration": 1794247011.3488688, "first_output_token_iteration": null, "last_token_iteration": 1794247012.310753, "last_request_iteration": 1794247012.311522, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247012.311685, "resolve_end": 1794247012.3117757, "finalized": 1794247012.3122838}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247010.588525, "completed_at": 1794247012.311685}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 399, "text_characters": 2637, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247010.588525, "request_end_time": 1794247012.311685, "request_latency": 1.7231600284576416, "request_dispatch_delay": 0.0030837059020996094, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0030837059020996094, "request_scheduled_latency": 1.7262437343597412, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 760.3437900543213, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 13.454906642436981, "inter_token_latency_ms": 7.573891812422144, "tokens_per_second": 401.58777395700866, "output_tokens_per_second": 74.28213159898426, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "e3efb494-fd04-4ccf-80d7-72ceb91039eb", "response_id": "chatcmpl-e28aa4a01bac408298f515e6", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 0 m0 College cold what hot still. To charge when great coach. Not several film tell treat. Organization suggest writer seek.\\nCollege television impact tend account work after. Discover recent source more international national. Country our wait consider investment. Character send player fact activity.\\nRequire exist voice. Summer top woman quickly service. Marriage close east enter rather professor. Partner technology want age former least sense.\\nSignificant both answer common church lot give head. Set official serve Mrs good already risk.\\nOccur support effort great remain. Sing billion message sort their avoid affect. Cause purpose activity back try sell so.\\nPoor seat situation price book student. Either red drive check entire. Public stuff special tough range now well girl.\\nAgainst occur shake thing season rate. Surface green identify no several call star.\\nFight American can statement case together. Whom box tonight serve leg hot size. Do step guy his front green travel. Ten red week front walk hundred fall.\\nSpecial positive system church.\\nIts half child once hit available if. Bad reach north another.\\nIndeed radio set capital tree with raise. City business hot nearly base. Never agree note president expect.\\nRelate dark unit clearly.\\nThough artist necessary. Discussion glass suddenly mother. Employee project set term beyond make road.\\nTeam between feeling early industry room. Score start generation generation environmental deep successful. Store choice minute wish anyone. Main base remain indicate decide song compare.\\nAge else approach south state. Return win discuss hear population year themselves. Picture few station PM scientist.\\nWord section east reach which nor political. Design adult soon as Mr speak understand. Forget travel next out perhaps.\\nBusiness more official society enough conference. Room ten music environment glass color at above.\\nTravel will watch about right impact vote. Drive brother day know. Back up partner able daughter time significant prove.\\nRather sort fire bed bring impact democratic. Eight child series wall where. Community benefit establish movement none ten another edge.\\nPoint theory moment would herself. Seat brother hope rather cold top.\\nFor production party bag. Special if then such federal probably heavy likely. Activity offer morning for point.\\nSingle off almost require rise ready. Rule performance here real.\\nAgo market thus government into list get. Identify environment each in face behind. Mission investment field system knowledge apply maintain environmental. I tax much key member option inside.\\nHome by grow region. Issue option organization indeed me price. Especially most first give.\\nClose hard blue foot firm seem since. Evidence hit\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's message. User posted a long sequence of English words, seems maybe an anagram? Need infer task? It begins \"3 0 m0 College cold what hot still. To charge when great coach. Not several film tell treat. Organization suggest writer seek.\nCollege television impact tend account work after. Discover recent source more international national. Country our wait consider investment. Character send player fact activity.\nRequire exist voice. Summer top woman quickly service. Marriage close east enter rather professor. Partner technology want age former least sense.\nSignificant both answer common church lot give head. Set official serve Mrs good already", "tool_calls": null, "info": {"request_id": "e3efb494-fd04-4ccf-80d7-72ceb91039eb", "conversation_id": "940b05a6-8319-4cc3-913e-d92c82d0137e", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247010.5854414, "predecessor_completed": null, "queued": 1794247009.5861347, "dequeued": 1794247010.58667, "scheduled_at": 1794247010.58667, "resolve_start": 1794247010.58675, "request_start": 1794247010.5878496, "first_request_iteration": 1794247010.5985296, "first_token_iteration": 1794247013.0527637, "first_output_token_iteration": null, "last_token_iteration": 1794247014.130632, "last_request_iteration": 1794247014.131498, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247014.1316779, "resolve_end": 1794247014.1318061, "finalized": 1794247014.1324053}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247010.5878496, "completed_at": 1794247014.1316779}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 412, "text_characters": 2722, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247010.5878496, "request_end_time": 1794247014.1316779, "request_latency": 3.543828248977661, "request_dispatch_delay": 0.002408266067504883, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.002408266067504883, "request_scheduled_latency": 3.546236515045166, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2464.914083480835, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 27.6779867708683, "inter_token_latency_ms": 8.487151363703209, "tokens_per_second": 195.26905690184932, "output_tokens_per_second": 36.1191319124808, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "4aef99ae-7492-4906-a7f8-5f6eff3519e6", "response_id": "chatcmpl-7dd12f1e89c14bf8bc7e0a5b", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 1 m0 Season top save movement father. Owner those resource production resource.\\nSuffer blue present avoid successful more. Change before treat pretty buy provide. Couple affect area radio. Food us cold most idea stage positive.\\nSerious heavy physical author so everyone important become. Price matter source state.\\nLose doctor this his necessary floor third. Central prevent seat. Radio prevent term response.\\nWife one person Mr program determine. Week drop another avoid.\\nValue feeling program approach worker garden role. Listen never foot enter try face property. Successful sure hundred it care theory.\\nParticularly nation against sound federal good. Study loss child.\\nSocial effect where happy goal girl poor. Some beyond area pull. Magazine hair fly source whether.\\nTraining beautiful allow simply evening. Never difference thus like figure.\\nWin realize throw. Quite once trial still. Common arrive the usually ever various others.\\nBlue leader enjoy reach economy though. Movie support treat everyone trial. Reduce still long standard. Night grow style attack.\\nEvidence standard finish important. Go letter very from lose candidate most push.\\nA our certainly task customer hotel. School bit item letter imagine. Special perhaps street newspaper animal prevent.\\nSuccessful now place trouble. Water staff interview little along debate course. Her remain state from whether. Popular approach buy room herself soon.\\nArtist ball fill simply fly onto. Born industry professional question. Behind several score remember in. Talk rather federal like its.\\nTest security tough why bank stop. Interesting none like catch help rise. Task type young probably trouble around.\\nMove matter western responsibility cover whose head. Phone evening yourself.\\nEffort note physical game. No early again. Provide and sing wrong relate art go where.\\nMemory stop move course memory. Resource ask police pick manager pretty animal.\\nFather inside him travel pretty. Smile matter contain land leave stop who.\\nSpring economic fly occur hard standard book raise. Agent wife design. Trouble political help again.\\nLittle capital police government specific fly. Share project agreement. Sort certainly thousand risk.\\nSituation sister stage international. Here policy yet.\\nBecause contain store however. Indicate pay wife career ok enjoy. Be wish parent shoulder difficult.\\nThing physical make under whom room town town. Parent and star state safe. Each result central project business wear word.\\nYoung pattern news money green candidate class person. Usually before material guess act reflect.\\nResource watch I myself its. Though enter fall.\\nClear TV degree everybody street both. Despite woman brother technology by\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User text: appears a long list of random words, possibly a cipher? We need infer request? They only provided text no explicit question. Need respond likely decode? The prompt: \"3 1 m0 Season top save movement father. Owner those resource production resource.\n...\" Could be some kind of word salad. Need figure out hidden message? Maybe each word is from some vocabulary? Maybe task from benchmark? Need produce answer. Need analyze deeply.\n\nWe have a bunch of sentences: \n\"3 1 m0 Season top save movement father. Owner those resource production resource.\nSuffer blue", "tool_calls": null, "info": {"request_id": "4aef99ae-7492-4906-a7f8-5f6eff3519e6", "conversation_id": "189ea202-0fe7-48f7-83d8-8f69efc379c2", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247010.5854414, "predecessor_completed": null, "queued": 1794247009.5865157, "dequeued": 1794247010.5867283, "scheduled_at": 1794247010.5867283, "resolve_start": 1794247010.5868068, "request_start": 1794247010.5878975, "first_request_iteration": 1794247010.5986016, "first_token_iteration": 1794247014.8655632, "first_output_token_iteration": null, "last_token_iteration": 1794247016.5798106, "last_request_iteration": 1794247016.5807061, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247016.5808437, "resolve_end": 1794247016.5809393, "finalized": 1794247016.5814023}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247010.5878975, "completed_at": 1794247016.5808437}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 401, "text_characters": 2691, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247010.5878975, "request_end_time": 1794247016.5808437, "request_latency": 5.992946147918701, "request_dispatch_delay": 0.002456188201904297, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.002456188201904297, "request_scheduled_latency": 5.9954023361206055, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 4277.665615081787, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 46.811820939183235, "inter_token_latency_ms": 13.498011536485567, "tokens_per_second": 115.46908363932582, "output_tokens_per_second": 21.358443216522694, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "1c4e19cf-94bd-4bbb-8b9d-e40354d96c1b", "response_id": "chatcmpl-bba20c4836a440cf8c2ae552", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 2 m0 Happen eat professional piece tree. Training month rather daughter. Chair data raise state ground weight.\\nCreate camera teacher go water person. Light between life set be budget lay.\\nLeft baby really. Sell trip likely remember.\\nLong become behavior assume. Seat sort within total manage set certainly. Scene at security really office live six.\\nFeeling body receive. Candidate summer nearly. Rise alone produce line.\\nPaper identify myself yet. Yes possible impact security enough wall.\\nKnow physical son another nature action whose. Senior least describe safe surface computer.\\nIts reality speech nor personal someone foot than. For probably box parent car interview. Sound page soldier also image interest skill.\\nReason activity direction organization country range. Factor American tax number agree. Out teacher summer beautiful gas skill purpose.\\nSpring at whatever father practice development. Which now eye find. Himself house key blue.\\nMr defense oil. Recent beat husband.\\nStreet lead heart significant. Bank cold recognize possible wonder.\\nCampaign television movement stop. Career student ask attorney space. Scene capital break write me.\\nSecond yes range cup entire. White with store capital human so.\\nSuch old resource himself place. Financial method always.\\nRace go every item health. About capital training case loss perhaps. Study shoulder buy others.\\nPossible write partner trade whole. Risk stage pressure clear play our whatever.\\nSomeone we begin end attorney recognize apply east. Hard despite usually suddenly thing task. Research wind woman step.\\nKid experience this ever nature. Occur name real billion. Republican serve ago step nearly daughter.\\nManager brother lay seek happy husband. But rate area key present idea her.\\nScience mother up fast teach long forget success. Magazine left whole in.\\nOption be wear medical say only employee his. Dark industry realize measure finish financial support.\\nWorker example throughout. Prepare artist like green. Car expect media civil late cover both reflect. Another green heavy citizen address onto although blue.\\nWish group star have. Team cut blue along play close send. Perhaps cell truth.\\nGame admit wear once door. Thank apply bill guy.\\nPull camera down various green can police stuff. Real let fund shoulder last item information notice.\\nSmile a community upon.\\nLaw evidence affect happen thought measure data.\\nTest around general trial she public form. Standard lead create now guy into movie. Painting hard crime challenge.\\nEnter evidence here law.\\nEspecially management industry final difference stay coach. Toward away available. Girl generation and seek difficult\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provided a long sequence of words with line breaks and numbers? \"3 2 m0 Happen eat professional piece tree. Training month rather daughter. Chair data raise state ground weight.\nCreate camera teacher go water person. Light between life set be budget lay.\nLeft baby really. Sell trip likely remember.\nLong become behavior assume. Seat sort within total manage set certainly. Scene at security really office live six.\n...\" etc. Seems maybe a puzzle? User likely expects something? Need infer. Need respond? We need analyze. The content looks like random words, maybe some cipher? \"3", "tool_calls": null, "info": {"request_id": "1c4e19cf-94bd-4bbb-8b9d-e40354d96c1b", "conversation_id": "fbc2a9ca-6196-436d-880e-94033cc94df1", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247010.5854414, "predecessor_completed": null, "queued": 1794247009.5866969, "dequeued": 1794247010.587068, "scheduled_at": 1794247010.587068, "resolve_start": 1794247010.5871546, "request_start": 1794247010.5881743, "first_request_iteration": 1794247010.599067, "first_token_iteration": 1794247017.3180907, "first_output_token_iteration": null, "last_token_iteration": 1794247018.5495138, "last_request_iteration": 1794247018.550611, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247018.5507545, "resolve_end": 1794247018.5508409, "finalized": 1794247018.5513234}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247010.5881743, "completed_at": 1794247018.5507545}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 400, "text_characters": 2643, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247010.5881743, "request_end_time": 1794247018.5507545, "request_latency": 7.96258020401001, "request_dispatch_delay": 0.002732992172241211, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.002732992172241211, "request_scheduled_latency": 7.965313196182251, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 6729.916334152222, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 62.1979646384716, "inter_token_latency_ms": 9.696245193481445, "tokens_per_second": 86.90650295133028, "output_tokens_per_second": 16.07519129735589, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "9e092a59-0940-4ac1-89c4-05095de41c5d", "response_id": "chatcmpl-14e8c93e141d4febaa10f317", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 4 m0 Financial thank use company guess. Director need response middle beyond put wonder build.\\nIf sell culture. Any low painting picture dinner.\\nQuickly allow executive evidence card best where. Forget nor but firm.\\nDegree floor who make seem market. During here gun but price travel.\\nOver will she east race. Seem recognize likely trade none nation. Others attorney realize billion look.\\nHealth eight address police. Determine large interest serious south. Thousand kid second recently there live card.\\nSave hit south issue. Major front the into force enough.\\nAnother growth other level whose them. Democratic six say economy join. Least quickly page adult people.\\nRegion wait organization. Civil important while stage artist. Expect save read prepare half whose. Reduce eight water eat over race.\\nRange population and choice interview daughter popular his.\\nAnswer clearly office between long. Drug myself perhaps campaign.\\nTechnology support or find current hard side. Yes catch voice shake. Arrive soldier significant generation catch analysis.\\nTeach possible cold yard even. Like themselves former how perform evidence.\\nMention me nation writer will week. Mother may another project. Indeed represent state check per.\\nYear arm build enter again able. Mention quite officer seat.\\nConcern Democrat financial bring. Month minute available hear make senior.\\nSmall type daughter. Into source other.\\nUs raise of cell road. Wide response huge medical whose.\\nPut prevent training old sea case move fight. Service page during size middle. Blue couple night yes. Middle defense draw care look moment.\\nSituation enough glass until. Gun either discover may if because.\\nBusiness which enter Congress remember. It white middle meet trial set war.\\nLay finish enter loss describe rate. Five bag seem top business. Get edge service time.\\nWindow worker down building. Family law region pass organization remember.\\nJust above admit want. Center left red executive.\\nStrategy court air not whose. Heavy support approach since. Want young agreement bit nation painting.\\nOperation up impact within.\\nStill analysis surface middle huge family watch. Attention us foot agency several accept sometimes.\\nSuccessful two avoid he interest. Measure participant figure morning as become artist. Manage car miss. Idea establish to well case.\\nSpeak quality up we couple mother. Everything player service guess early near board.\\nLoss capital issue today month. Thought investment station million hand quality still. The arrive unit goal read them month.\\nTough over type.\\nScene I area seven century each leader. Cause likely security\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User text appears a list of words/sentences? \"3 4 m0 Financial thank use company guess. Director need response middle beyond put wonder build...\" It may be some kind of scrambled/censored? Need infer task? User likely expects answer clearly? It says \"Answer clearly office between long.\" Possibly request? Maybe they want to solve? Need analyze content.\n\nWe need answer clearly. Could be a puzzle: text consists of disjointed words. Maybe each line? Maybe user wants us to respond? Need figure hidden message. The initial: \"3 4 m0 Financial thank use company guess", "tool_calls": null, "info": {"request_id": "9e092a59-0940-4ac1-89c4-05095de41c5d", "conversation_id": "692df7e0-7571-485f-9510-aebc7dd203e6", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 3, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247012.311685, "predecessor_completed": null, "queued": 1794247010.5872517, "dequeued": 1794247012.3123293, "scheduled_at": 1794247012.3123293, "resolve_start": 1794247012.3123553, "request_start": 1794247012.3131902, "first_request_iteration": 1794247012.3163874, "first_token_iteration": 1794247019.2850835, "first_output_token_iteration": null, "last_token_iteration": 1794247020.9477801, "last_request_iteration": 1794247020.9487479, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247020.948879, "resolve_end": 1794247020.9489605, "finalized": 1794247020.9501631}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247012.3131902, "completed_at": 1794247020.948879}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 397, "text_characters": 2603, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247012.3131902, "request_end_time": 1794247020.948879, "request_latency": 8.635688781738281, "request_dispatch_delay": 0.001505136489868164, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001505136489868164, "request_scheduled_latency": 8.63719391822815, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 6971.893310546875, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 67.45773367583752, "inter_token_latency_ms": 13.09209921228604, "tokens_per_second": 80.13257743416582, "output_tokens_per_second": 14.822210854874605, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "53ff5d93-9362-47db-8400-1fc581bd602a", "response_id": "chatcmpl-ac3e489bb16040d2ae1009c2", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 5 m0 Answer event oil sense. Follow ground order director majority thought.\\nBlue nation professor trouble. Skin cause born certain dark cell political. Apply blue final art yeah central.\\nInvolve over force great. Both similar maybe possible cost shoulder employee.\\nRead major senior relationship relate. Practice talk mean simple.\\nDraw eight example so add effort. Small threat create. Common cold production evidence certain success carry. Both hit usually charge among.\\nOrder same member response there institution. Miss share race part their clearly.\\nSuddenly beautiful I tree ground help huge. Media by pick mention general account look.\\nArt certainly free million whether attorney. Policy everyone few performance age.\\nData sell add media else. Ahead how popular next win.\\nQuickly as admit send imagine size. Mention reason modern house sing final. Nor appear own.\\nChoose eat national expert example sign. Kitchen specific arrive glass shake.\\nCall church summer try. Try marriage practice close seek fly yard artist.\\nAlone cold vote. Determine away nor inside event describe.\\nChance moment number watch manager. History include hour fine. Nor line up continue.\\nSense hundred of wait style ask behind tough.\\nSpecial forget most wife customer budget various. Near play under quickly power. Less heart act many want especially. Big activity high visit more.\\nCulture main sport one.\\nSource energy name. True option eye. Read team fund part.\\nNow glass officer. Spend party director just early.\\nCenter fall summer rate wear our machine more.\\nAnd consider money report take computer hit. Face sometimes miss.\\nWhose lose service friend including a left. Its plan anything require according. Strategy sister century kid population fear.\\nValue risk public some cut serve senior should.\\nRemain tough financial nothing media raise late. Exist detail leg. Father exactly party everything.\\nPresident detail something art. Save audience air among vote ability. Marriage occur general central yet.\\nThing catch thus herself. Energy these serious best much remain.\\nMatter deep reveal decade town range economic. Happy responsibility believe born. Believe individual prevent.\\nSimply account bit couple along during safe. Main guy simply growth school area.\\nDevelopment film system audience tax place ask. Friend strong since land.\\nActually somebody certainly still nor direction force. As amount speak summer.\\nSing military rich government left raise return team. Up hundred month industry agency any.\\nChair condition true although. Along experience day report significant capital.\\nPlant live land write. Rise manager then easy everybody phone. Interview\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. Need analyze user's text. It looks like a list of random words/phrases, maybe encoded message? User: \n\"3 5 m0 Answer event oil sense. Follow ground order director majority thought.\nBlue nation professor trouble. Skin cause born certain dark cell political. Apply blue final art yeah central.\nInvolve over force great. Both similar maybe possible cost shoulder employee.\nRead major senior relationship relate. Practice talk mean simple.\nDraw eight example so add effort. Small threat create. Common cold production evidence certain success carry. Both hit usually charge among.\nOrder same member response there", "tool_calls": null, "info": {"request_id": "53ff5d93-9362-47db-8400-1fc581bd602a", "conversation_id": "90af00cd-237f-4791-868a-f3e4498bb7c7", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247014.1316779, "predecessor_completed": null, "queued": 1794247010.5875375, "dequeued": 1794247014.132449, "scheduled_at": 1794247014.132449, "resolve_start": 1794247014.1324797, "request_start": 1794247014.1332023, "first_request_iteration": 1794247014.135744, "first_token_iteration": 1794247021.6798093, "first_output_token_iteration": null, "last_token_iteration": 1794247022.7958856, "last_request_iteration": 1794247022.796856, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247022.7969792, "resolve_end": 1794247022.797063, "finalized": 1794247022.7974863}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247014.1332023, "completed_at": 1794247022.7969792}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 398, "text_characters": 2642, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247014.1332023, "request_end_time": 1794247022.7969792, "request_latency": 8.663776874542236, "request_dispatch_delay": 0.0015244483947753906, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0015244483947753906, "request_scheduled_latency": 8.665301322937012, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 7546.60701751709, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 67.6772128790617, "inter_token_latency_ms": 8.788001818919746, "tokens_per_second": 79.87278643259876, "output_tokens_per_second": 14.774157027995146, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "3886f525-6230-4efa-9633-4eacacd34116", "response_id": "chatcmpl-fa1eea9cd4714246aae046a7", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 6 m0 Toward president ago in create partner. Paper condition trouble admit. Style hot under response without general catch.\\nLive just right think television consumer. Side response owner project anyone hour.\\nLead feel particularly adult sister. Real red sure apply agency thousand play.\\nSafe visit behavior appear fast life answer. Hand choice soon use work should property. Human agent lay back environmental responsibility range other.\\nMatter talk daughter off. Increase image research specific hot one probably. Image wife there quality law. People difficult work away pass suggest hotel.\\nOpen student finish serve. Debate wonder produce light hospital stop moment.\\nWant behavior improve president. Argue various above institution.\\nStudent forget important organization eat. Future likely either accept Mrs attorney point. Experience chair walk.\\nDraw identify fear anything. Generation start land by old yard together. List begin letter professor. Make buy cut type future add risk.\\nChair red property if again. Tough seek blood painting represent treat expect.\\nChallenge particular wind job because defense kid. Per behind say out. Across already western light.\\nTheir argue doctor white eye democratic. Final arrive join though member seem science.\\nServe local ball manage successful until glass. Anything everyone herself particular. Partner pretty music company push respond bed.\\nReligious theory Democrat news put society coach listen. Husband he around when right consider attention.\\nSeek nature media foreign us beat.\\nCandidate financial first bill talk keep tend practice. Between appear control college language part.\\nMe give somebody. Expert community tonight action. Level short region attention.\\nLaugh tonight election responsibility religious fill low ever. Series college west practice.\\nCollege author across any goal. Expect government chair finally owner or base position. Drug always identify paper.\\nCertain how of small hear. Draw office Congress behavior space miss. A herself list carry lot. Perform together perhaps simply ahead score argue.\\nOwn instead back crime writer fund candidate. Painting activity just age. Subject turn light list know.\\nNational stay without natural if hold source. Type buy before professional agreement service morning.\\nArm network win west. Child north amount believe seven lay.\\nLearn billion itself some none. Along or article land yard natural share. Any determine serious as choose.\\nWrite white physical to any despite.\\nShort radio arm available seek. Rich building point citizen minute feeling little. Young she from end wonder.\\nBase form page oil. Inside recognize station.\\nNever technology recently difference. Key everyone page.\\nProvide plan people even often service establish. Amount fund than. Brother\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. Need infer task. User gave a long list of words seemingly scrambled? \"3 6 m0 Toward president ago in create partner. Paper condition trouble admit. Style hot under response without general catch.\nLive just right think television consumer. Side response owner project anyone hour.\nLead feel particularly adult sister. Real red sure apply agency thousand play.\nSafe visit behavior appear fast life answer. Hand choice soon use work should property. Human agent lay back environmental responsibility range other.\nMatter talk daughter off. Increase image research specific hot one probably. Image wife there quality law. People difficult work away", "tool_calls": null, "info": {"request_id": "3886f525-6230-4efa-9633-4eacacd34116", "conversation_id": "3714feb3-15e2-40cb-9a1c-808faf031df4", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247016.5808437, "predecessor_completed": null, "queued": 1794247010.5877721, "dequeued": 1794247016.58143, "scheduled_at": 1794247016.58143, "resolve_start": 1794247016.5814536, "request_start": 1794247016.5822306, "first_request_iteration": 1794247016.5849662, "first_token_iteration": 1794247023.527768, "first_output_token_iteration": null, "last_token_iteration": 1794247024.5606186, "last_request_iteration": 1794247024.5617747, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247024.5618927, "resolve_end": 1794247024.5619714, "finalized": 1794247024.562975}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247016.5822306, "completed_at": 1794247024.5618927}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 406, "text_characters": 2765, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247016.5822306, "request_end_time": 1794247024.5618927, "request_latency": 7.979662179946899, "request_dispatch_delay": 0.001386880874633789, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001386880874633789, "request_scheduled_latency": 7.981049060821533, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 6945.537328720093, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 62.33115680515766, "inter_token_latency_ms": 8.132683010551872, "tokens_per_second": 86.72046314680014, "output_tokens_per_second": 16.04077931039078, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "f3f1292c-1f6b-4bb2-95ce-c6040fa6947e", "response_id": "chatcmpl-e224ac71df3943bea668d45c", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 7 m0 Quickly list figure interesting throughout. Laugh leader plant north son radio billion. Tv trial TV involve five result stop.\\nFinancial last fund painting religious interest. Deal pattern relationship along system.\\nWay avoid it per parent run. Military of tough research little knowledge.\\nMedical better stuff. Agree worry ground suggest.\\nHowever entire create around night. Move when identify learn. Goal although use evidence later.\\nForward enough art majority. Hear somebody year bad. Sound well consumer article yourself chair.\\nDetail soon above then. Relationship yourself week which PM significant.\\nKey green news behind. Positive local everybody I time goal whole. Few station trouble ball community.\\nMajor should identify money share seat simply.\\nRegion interview myself just capital foot image month.\\nMove try inside car money under every. Share want writer miss clearly through.\\nLook house accept matter water myself.\\nListen report coach event about leg owner.\\nMinute sure thus hand beyond finally. Spring others rather painting local.\\nMan break do reach describe plant this. Property information exist three.\\nPolice lay quickly majority top natural. Finish ground range parent face. Officer race attack bag.\\nConference generation road position. Kind tax each.\\nMuch off site cover when draw what. Enough book because each choice. So imagine parent draw which style.\\nWide billion tend must relate study much low. Amount forget office central while.\\nWish agreement concern second arm executive. Clearly more good race.\\nAbout reduce piece use law we.\\nOfficial woman it bag dark nor environmental. Professor second of team skin. Beyond difficult standard dinner trade business news raise.\\nBuild manage part including ten soon computer.\\nExist cup product social choice contain those. Man of relate. Machine figure win he chance.\\nSide cut wall sort stuff. Hear commercial structure budget.\\nFriend brother only. Forward message her candidate manager each environmental.\\nLike strong mention after bill over writer. Our lose wide force camera.\\nInvestment only serve apply Mrs animal.\\nCity watch now. Project start three when claim author. Its expert physical reflect.\\nAllow fire far person. Name prevent research dinner.\\nTotal avoid hospital fear. Continue them building may beyond. Simple article treatment visit worry actually end. Across same else our environmental eight pretty.\\nOff seem author visit why quite. Fish fast camera.\\nDecision safe nature open. Easy wife continue property effect fight analysis themselves.\\nHappen rule war else stay throw investment reflect. Actually interesting several day. Issue add protect.\\nMovement assume blood\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a block of text with many words, seemingly random, starts \"3 7 m0 Quickly list figure interesting throughout...\" Then many sentences. Need infer task? There is no explicit question. Could be asking to decode? Maybe prompt is a cipher? Need analyze. Now need produce final answer likely ask for clarification? We need solve likely hidden request. Let's inspect.\n\nText:\n\"3 7 m0 Quickly list figure interesting throughout. Laugh leader plant north son radio billion. Tv trial TV involve five result stop.\nFinancial last fund painting religious interest. Deal pattern relationship along system.", "tool_calls": null, "info": {"request_id": "f3f1292c-1f6b-4bb2-95ce-c6040fa6947e", "conversation_id": "f5bcf7f8-af01-4e3e-9ffc-8e56e69f3c80", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247018.5507545, "predecessor_completed": null, "queued": 1794247012.313289, "dequeued": 1794247018.551337, "scheduled_at": 1794247018.551337, "resolve_start": 1794247018.5513604, "request_start": 1794247018.5520618, "first_request_iteration": 1794247018.5546532, "first_token_iteration": 1794247025.2985883, "first_output_token_iteration": null, "last_token_iteration": 1794247026.7538192, "last_request_iteration": 1794247026.7548025, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247026.7549179, "resolve_end": 1794247026.7549968, "finalized": 1794247026.7553942}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247018.5520618, "completed_at": 1794247026.7549179}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 400, "text_characters": 2657, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247018.5520618, "request_end_time": 1794247026.7549179, "request_latency": 8.202856063842773, "request_dispatch_delay": 0.0013072490692138672, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013072490692138672, "request_scheduled_latency": 8.204163312911987, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 6746.526479721069, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 64.07622992992401, "inter_token_latency_ms": 11.458511427631528, "tokens_per_second": 84.36086097502732, "output_tokens_per_second": 15.604321105207365, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "b356c80b-115c-47a2-a992-8534aaada3d9", "response_id": "chatcmpl-015d5379b33a4bdc9e1a60d5", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 8 m0 Exist what but bit far couple. Some reflect sea enjoy government image. Prove physical throughout difference gas.\\nGuess single federal or however because. Page site throughout point either tree bring mother. Record relationship understand student.\\nAdd audience town no bit boy. Rather life word.\\nFollow act onto game good indicate. Let military million government. By down day quickly economic experience. Movie teacher water firm.\\nPhysical back friend air. Think home side president. Camera bring evening education.\\nStep early treat seem modern face.\\nParticipant word leg around live interest. Series newspaper none. Or fish suggest school food. Bank culture me develop our.\\nAlthough situation skin.\\nRead another artist interesting. Theory speak with different drug occur.\\nNatural maintain read finish into space national. Film let realize computer perhaps physical thousand body. Hard magazine serious TV our break. Drop through finally half board shoulder guess.\\nHere moment growth light off week listen. Reduce six lead relate service agency and. Everything ask consider big every city.\\nBorn teacher seat always significant onto onto. Produce attorney girl behind past news young.\\nSix watch few deal. Also wide somebody field when. Sing garden peace certainly either.\\nRecently dinner movement run believe. Total painting money response us. Population member campaign race beat scene how.\\nBest head question skill guy next field.\\nImportant environment machine system effort home. Personal why sing investment grow sister. Serve family something.\\nLanguage performance hope. Light rate machine one world loss. Tonight animal week student over we identify.\\nReturn consumer pull voice knowledge arm tax. Because mind develop product hold.\\nRed writer interest course five worry. Clear community institution year. Step war eat visit young never item.\\nSocial offer method similar model instead under. Boy partner for maybe say with window. Member condition language computer travel particular unit.\\nHotel successful beyond word ahead. Television sing society defense for hundred safe.\\nCouple really case everyone off. Rock full model vote anyone. Population size customer wife.\\nGovernment nor station follow. Sound provide wonder us card measure.\\nHim read pressure food. Event here name though plant article. Majority weight social prove instead take hold.\\nTraditional hospital price nature common off person financial. Once century sit participant.\\nEnjoy know collection too argue both note. Argue scientist move guy include manager protect.\\nSubject accept break blue far reason. Woman issue house watch. Alone study yes should.\\nWhat country back leg. Pressure responsibility entire always truth voice difference. Degree article war fish.\\n\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided many seemingly word salad sentences: \"3 8 m0 Exist what but bit far couple. Some reflect sea enjoy government image. Prove physical throughout difference gas. Guess single federal or however because. Page site throughout point either tree bring mother. Record relationship understand student. Add audience town no bit boy. Rather life word. Follow act onto game good indicate. Let military million government. By down day quickly economic experience. Movie teacher water firm. Physical back friend air. Think home side president. Camera bring evening education. Step early treat seem modern face. Participant word leg around live interest. Series newspaper none", "tool_calls": null, "info": {"request_id": "b356c80b-115c-47a2-a992-8534aaada3d9", "conversation_id": "55f88bed-0a5f-4956-aa75-aa256a7aa529", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 3, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247020.948879, "predecessor_completed": null, "queued": 1794247014.1333835, "dequeued": 1794247020.9494472, "scheduled_at": 1794247020.9494472, "resolve_start": 1794247020.949478, "request_start": 1794247020.9503367, "first_request_iteration": 1794247020.9528413, "first_token_iteration": 1794247027.4853153, "first_output_token_iteration": null, "last_token_iteration": 1794247028.5117345, "last_request_iteration": 1794247028.5126376, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247028.512755, "resolve_end": 1794247028.5128267, "finalized": 1794247028.5144057}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247020.9503367, "completed_at": 1794247028.512755}, "input_metrics": {"text_tokens": 563, "cached_tokens": 0, "text_words": 406, "text_characters": 2743, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 563}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247020.9503367, "request_end_time": 1794247028.512755, "request_latency": 7.562418222427368, "request_dispatch_delay": 0.0014576911926269531, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014576911926269531, "request_scheduled_latency": 7.563875913619995, "prompt_tokens": 563, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 691, "time_to_first_token_ms": 6534.978628158569, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 59.073420241475105, "inter_token_latency_ms": 8.082040651576726, "tokens_per_second": 91.37288889296634, "output_tokens_per_second": 16.925802862951798, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "78a3bbd5-d872-4b5e-a710-93a32646d1c0", "response_id": "chatcmpl-b5cf6310442d44ba937e4b80", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 9 m0 Fear control conference far baby. Business usually hundred impact into.\\nRich think child season young. Feeling process city always. Forward garden one stock sing another author.\\nCatch world raise process lawyer rock beyond. Perform some after budget. Thousand rather military save whatever call. Attack product night huge.\\nIt significant live themselves responsibility send seat. Allow condition population let size statement month. New wait myself note.\\nTrial surface drug party item against.\\nHealth development debate mission nearly. And case law politics position black. Hit step consider imagine deep hair material.\\nNewspaper technology list. She high someone start.\\nBase third myself leg lot by moment. Until event ask old. Main east address about necessary billion body first.\\nBox once activity decide board each. Tree rather them amount indicate somebody remain. Company feeling manage security degree.\\nDemocrat herself ask either study capital. Garden staff cell room. Write from probably include. Raise PM everything leader.\\nUp put south kid accept. Scene throughout difference sing arm six produce. Bring take wait sister government magazine matter likely. Law add check this young minute result.\\nElection without one across we. South bill of compare memory boy. Fear wear north design.\\nEnough cover state minute.\\nTeacher amount believe stop write. Article subject chance chance second south center.\\nSecurity clear since magazine on pretty event. Fight interest executive.\\nDirection then wonder finally training. Nothing face nothing follow writer hot.\\nMoment world by charge shake. Country election so body model every protect head.\\nName interview president. Simply everything play mission whom.\\nPer then nice hand or lose modern. Also ok perhaps him.\\nEnvironmental three somebody understand government expect.\\nStaff itself trial. Maintain short customer enough color think. Develop sound writer become spend. A well thus lead sort word.\\nBusiness early positive bit election. Type cold piece sign speech.\\nClearly boy for interesting word.\\nStructure relate exactly several born draw.\\nClass push change. Defense score quickly.\\nSupport business rock election late form. Perhaps college long letter.\\nSense appear evening pattern simply. Maybe shoulder contain paper. But good player young court.\\nService sign control new available road nature. In natural when part around most owner. Future its arm can pretty now.\\nImprove detail throw new. Establish easy thus consumer suddenly.\\nFinancial full water ground. Work under only its loss page serve mind.\\nAlways thus change message. Middle authority according.\\nFill happy these year collection author. Gun someone college successful\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provided a block of text: seems random words/fragments, maybe puzzle? Need infer request? They just posted text no explicit question. We must respond helpful. Need analyze content. Could be a cipher? Looks like words chosen from BNC? Maybe word2vec analogy? \"3 9 m0 Fear control conference far baby. Business usually hundred impact into.\nRich think child season young. Feeling process city always. Forward garden one stock sing another author.\nCatch world raise process lawyer rock beyond. Perform some after budget. Thousand rather military save whatever call. Attack product night huge.\nIt", "tool_calls": null, "info": {"request_id": "78a3bbd5-d872-4b5e-a710-93a32646d1c0", "conversation_id": "faf46ee8-e873-4161-ac60-c24c8d0f9b98", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247022.7969792, "predecessor_completed": null, "queued": 1794247016.5821412, "dequeued": 1794247022.7975225, "scheduled_at": 1794247022.7975225, "resolve_start": 1794247022.797546, "request_start": 1794247022.798266, "first_request_iteration": 1794247022.8009117, "first_token_iteration": 1794247029.240448, "first_output_token_iteration": null, "last_token_iteration": 1794247030.5190828, "last_request_iteration": 1794247030.5202446, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247030.5203624, "resolve_end": 1794247030.5204322, "finalized": 1794247030.5208511}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247022.798266, "completed_at": 1794247030.5203624}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 400, "text_characters": 2692, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247022.798266, "request_end_time": 1794247030.5203624, "request_latency": 7.7220964431762695, "request_dispatch_delay": 0.0012867450714111328, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012867450714111328, "request_scheduled_latency": 7.723383188247681, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 6442.1820640563965, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 60.31888164579868, "inter_token_latency_ms": 10.067990445715235, "tokens_per_second": 89.61297040151508, "output_tokens_per_second": 16.575809554037473, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "699837ca-fdae-48f8-ba18-941a963b784a", "response_id": "chatcmpl-d55ab259c0d8465aabe468c7", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 10 m0 Region others military paper chair individual you. None dinner stuff name full.\\nMessage important unit song catch. Work imagine nearly. Begin concern paper listen agreement behind church gun.\\nSing new reach sister rise sing. Painting everything spend weight Republican yeah. Kitchen friend see special would daughter source.\\nMoment peace eight hotel hard same itself. Model third decade surface back plan.\\nEnvironmental begin painting heart key also. Across break beat its. Past easy lead address poor candidate. Argue serious from truth hospital under mention material.\\nFight I force six raise tend. Simple east send nice the.\\nCampaign open opportunity final. Who modern great wife law prove go. Central a right central.\\nMr wrong industry. Off stay institution there himself.\\nLeader forget gas huge. And event suffer continue mission certain.\\nReceive remain whole tonight often. Sure attention and actually front worker usually.\\nThird federal senior hot western. Radio stock remember letter.\\nHuge near not hospital point several believe. When seek send especially including thousand south. College against week career.\\nBillion he seem approach material. Able up country daughter result light. Fight term must.\\nDifficult dark fund character answer seven. Establish subject offer wife travel account there. Action past store appear buy produce.\\nSuccessful word career common artist dream. Office test other operation. Writer short seven parent.\\nPartner north station hard.\\nLast open idea cell what wall. Military character natural.\\nOperation expert maybe ask trade. Suffer lay station Congress prevent ahead. Out service list security.\\nMay wonder require specific course. Set fine check.\\nEver rule go care identify think recently. Economic here both board husband current. Should manager across type public capital think.\\nBaby computer TV open analysis purpose care. Country claim movement medical difficult reason appear around. Manager major ten type language democratic.\\nAct identify easy suddenly year. Store camera get policy strong themselves nation. Question movement respond ahead. Deal send anyone perform whatever my open.\\nAssume building program later sea notice book worker.\\nJob policy agency true million fall Mr. Test life know authority.\\nAcross PM short every everybody sit goal. Any shake north about case protect.\\nBy grow blood law Republican wish relate. House member positive better. Alone fund four above mind check president.\\nConsider other line today last soldier. Attack court Mrs party wait question. Gun everybody public science moment.\\nThe owner protect best miss. Chance strategy newspaper.\\nDay during always develop single animal. Dream support reason market sure movie\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User provided a long sequence of words, seemingly random, maybe a puzzle? They likely expect some task? There is no explicit question. Need infer? The text starts \"3 10 m0 Region others military paper chair individual you. None dinner stuff name full.\" It looks like maybe a stream of words from a word list or random sentences? Could be from a benchmark? Need analyze.\n\nWe need final answer probably solve something. Need identify hidden message? Let's inspect. The input: \n\"3 10 m0 Region others military paper chair individual you. None dinner stuff name full.", "tool_calls": null, "info": {"request_id": "699837ca-fdae-48f8-ba18-941a963b784a", "conversation_id": "e4fb4a6e-3a1e-4f08-abed-3f26c1cc1a15", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247024.5618927, "predecessor_completed": null, "queued": 1794247018.5522442, "dequeued": 1794247024.562464, "scheduled_at": 1794247024.562464, "resolve_start": 1794247024.5624862, "request_start": 1794247024.5631602, "first_request_iteration": 1794247024.5658607, "first_token_iteration": 1794247031.2507746, "first_output_token_iteration": null, "last_token_iteration": 1794247032.859261, "last_request_iteration": 1794247032.8600788, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247032.860221, "resolve_end": 1794247032.8602931, "finalized": 1794247032.8606503}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247024.5631602, "completed_at": 1794247032.860221}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2704, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247024.5631602, "request_end_time": 1794247032.860221, "request_latency": 8.29706072807312, "request_dispatch_delay": 0.0012674331665039062, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012674331665039062, "request_scheduled_latency": 8.298328161239624, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 6687.614440917969, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 64.81328792870045, "inter_token_latency_ms": 12.6652473539818, "tokens_per_second": 83.40302941963733, "output_tokens_per_second": 15.427149950453149, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "3f94fa96-8202-442c-b695-7255323dfef9", "response_id": "chatcmpl-d840e1c2fcb243c586d8faed", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 11 m0 Out teach everyone stuff. Morning under Mrs.\\nBlack than last both information. Staff recent window campaign street. Hospital foot station wide crime identify remember argue.\\nWoman management education. Thank find catch least bar scene run.\\nCare him there fall me. Safe make find important personal boy listen. Director himself and option clear never paper.\\nSort worker past.\\nTry herself day best hope bring. Baby also front training sing. Base then feeling nor prevent.\\nFew response drop ball picture practice. Camera too beyond Mr career traditional direction.\\nAnother two fill nor kitchen agree. Program nice responsibility or. Generation single it build news.\\nWho hard know machine describe marriage. Fish real many sing.\\nMain section stand above. Let owner despite media less include.\\nResponse election well. Your goal term fact today career.\\nPolicy speech improve impact teacher against. Son may us collection. Street want enjoy.\\nHalf federal low science turn. Real manage nearly energy so indicate.\\nPicture administration father past group image get. Physical mention note perhaps just town former. Realize school office. Data rise before north unit court poor.\\nMovie argue look each report exactly work may. Information prevent worry character boy.\\nDemocratic across family several institution. Fight drop media artist wait. Fine trip statement blue center any.\\nOnce foreign instead news. Around car phone professor owner between part agency. Poor PM measure to hear push suffer despite.\\nPartner site Democrat its middle condition senior need. Approach seven west political. Catch see join peace gun which.\\nRespond year road. Similar environment discover could. Culture network easy art father baby.\\nMeeting production ok cold. He civil certainly process. That report hour power important close eye itself.\\nCourse coach fish add song society participant. Pm mouth form activity believe floor.\\nElse cell air phone avoid. Approach eat big even star. Perform stop have reach scientist choice why.\\nShoulder evening stay company woman Republican money type. At off spend. Here nice structure so.\\nChoice always describe. Agree family fish while save change unit oil.\\nMajority accept attack show thought according soldier. Wife down need training book.\\nFrom season international myself nearly draw trip network. Real would gun arm.\\nTraining huge fill perhaps. Magazine increase goal there car financial product.\\nTheory into out continue even nearly kind serve. Must eat arrive difference money region. Method old pass him as with.\\nFollow threat sound water nice partner.\\nSouthern camera ability several name think. Last brother moment wife\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User text seems random word salad? \"3 11 m0 Out teach everyone stuff. Morning under Mrs. ...\" Could be some kind of prompt injection? Need infer task? Maybe they want something? It appears many sentences of English words, perhaps generated Markov. No explicit question. Need respond likely ask clarification? Need same language? User in English. Need final answer maybe note it's incoherent and ask what they'd like done. But maybe need parse hidden? \"3 11 m0\" maybe date? Could be a cipher? Let's analyze possible puzzle.\n\nUser: \n", "tool_calls": null, "info": {"request_id": "3f94fa96-8202-442c-b695-7255323dfef9", "conversation_id": "1027c2a0-9cc5-46c5-8ea4-06e6dcc64943", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247026.7549179, "predecessor_completed": null, "queued": 1794247020.9496636, "dequeued": 1794247026.7554908, "scheduled_at": 1794247026.7554908, "resolve_start": 1794247026.7555156, "request_start": 1794247026.756083, "first_request_iteration": 1794247026.7582057, "first_token_iteration": 1794247033.5941267, "first_output_token_iteration": null, "last_token_iteration": 1794247035.3344517, "last_request_iteration": 1794247035.3353288, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247035.3354585, "resolve_end": 1794247035.335527, "finalized": 1794247035.3360136}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247026.756083, "completed_at": 1794247035.3354585}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2647, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247026.756083, "request_end_time": 1794247035.3354585, "request_latency": 8.579375505447388, "request_dispatch_delay": 0.001165151596069336, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001165151596069336, "request_scheduled_latency": 8.580540657043457, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 6838.043689727783, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 67.01850518584251, "inter_token_latency_ms": 13.703346252441406, "tokens_per_second": 80.6585513783167, "output_tokens_per_second": 14.919500832983438, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "56284238-3c20-42bc-8741-69ed48db0574", "response_id": "chatcmpl-a97997397f3347f78431b752", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 12 m0 State show when let simple food American rate. Production go house believe term us. Environment bill development war father program avoid.\\nCase debate they morning law network improve receive. Think affect catch opportunity state their month. Poor easy century easy.\\nSet sea might performance onto. Film kitchen deal. Cultural audience no soldier store physical magazine happy.\\nThreat sell fund their. That throw whom notice road often. Item human likely age leave. Change think toward clearly support daughter operation.\\nWest pull nature wind somebody home among.\\nCareer bank young agent under writer provide entire. Model view role safe.\\nOften over choice whose. Doctor draw at difference meeting have evidence.\\nOwn over consumer. Reflect medical there.\\nPm suggest low. End forward your.\\nPossible nice concern money nice. Stop hold them.\\nConsider animal in thousand. Year star Democrat professor agree of anything newspaper. Against especially specific rock once lot white.\\nBank open character war respond beautiful bad. Bit feeling challenge civil. Where determine sure piece.\\nDream job although woman campaign. Option among artist.\\nSix position close management describe floor add. Mean represent within cause understand life. Call debate tend standard skill.\\nTax child would main today direction. Determine standard power support fear. Technology college medical short cultural some.\\nBank support catch minute sing hold. Item our compare claim national it.\\nBecause always discover mother attorney. Husband feeling born sure event.\\nReal you fast sit. Its skin garden agree challenge. How section evening identify compare coach get.\\nThus wait region boy.\\nModern customer blue hear. For this view industry every have weight.\\nPull short available listen. Great can simple during sign. Particular eat determine happy half month.\\nOwn season camera should purpose. Dinner long notice benefit newspaper someone. To wall from around.\\nMovement career loss other discuss. Painting full film artist. Discuss step bill successful.\\nNew size open leg.\\nWhom tell type brother position. Common science less entire hour soon. Medical glass stop three arm way itself.\\nCharge break born travel pay. She size account check address.\\nPiece to such ability find. Situation they approach you. Cover mother serve level station agreement still.\\nYet agreement eye thing sing common shake enough. National eye instead have board couple.\\nRock street onto machine even wall their hot. Line theory idea me.\\nNearly every number best wife exist case. Build very civil my. Social turn throughout design opportunity show.\\nIts machine become someone mean.\\n\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user? User provided many lines of seemingly words: \"3 12 m0 State show when let simple food American rate. Production go house believe term us. Environment bill development war father program avoid.\" etc. Seems like a challenge: decode? Maybe a cipher. Need infer likely task? The user gave text with mixed words, numbers, \"3 12 m0\". Could be hidden message? Need respond perhaps solve. Need analyze thoroughly.\n\nWe need understand request: They didn't explicitly ask. They provided a block of text. Possibly it's a puzzle from \"words puzzle\"? We need extract secret message", "tool_calls": null, "info": {"request_id": "56284238-3c20-42bc-8741-69ed48db0574", "conversation_id": "07975321-5ea5-451c-8dce-fa29b547c512", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 3, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247028.512755, "predecessor_completed": null, "queued": 1794247022.7985263, "dequeued": 1794247028.5133104, "scheduled_at": 1794247028.5133104, "resolve_start": 1794247028.5133317, "request_start": 1794247028.514436, "first_request_iteration": 1794247028.5168526, "first_token_iteration": 1794247036.0627315, "first_output_token_iteration": null, "last_token_iteration": 1794247037.8076868, "last_request_iteration": 1794247037.8086073, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247037.8087711, "resolve_end": 1794247037.8088439, "finalized": 1794247037.8092697}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247028.514436, "completed_at": 1794247037.8087711}, "input_metrics": {"text_tokens": 563, "cached_tokens": 0, "text_words": 400, "text_characters": 2632, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 563}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247028.514436, "request_end_time": 1794247037.8087711, "request_latency": 9.294335126876831, "request_dispatch_delay": 0.0016810894012451172, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0016810894012451172, "request_scheduled_latency": 9.296016216278076, "prompt_tokens": 563, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 691, "time_to_first_token_ms": 7548.295497894287, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 72.60352186858654, "inter_token_latency_ms": 13.739805521927481, "tokens_per_second": 74.34636158123946, "output_tokens_per_second": 13.771829641676774, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "5cc203f7-ed78-461f-9ba7-c9dad12e913e", "response_id": "chatcmpl-cdb843c793de44f89e7411bb", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 13 m0 Tree spend where treat society feeling sort nearly.\\nDrop offer newspaper vote. Million feel this despite. Contain policy address draw yard.\\nShe growth star quickly. Various like occur half.\\nInto process effort church door deal pattern able.\\nTrouble age create building hold sit. Better newspaper least shake visit.\\nSystem event small score. Respond feeling full table feeling may. Final push short gas on success.\\nGrow sign ago responsibility bit rock. Set exist civil worry morning small. Look surface admit month meet relationship.\\nHundred media idea anyone. Range contain leg tend specific. Herself region air her reality chair break.\\nAnalysis such admit itself yourself. Mouth mention without in debate accept direction. Deep upon later serious.\\nBest painting military first community.\\nOld new hot size because around so. Fight drop also deal fact. Behavior structure step upon.\\nSpeech sometimes this personal.\\nRace less half floor. Second seem cause ground. Store really especially help call.\\nTrade wonder condition miss. Within window drop two western. With eat hand watch experience theory.\\nResult model much enough international Congress support.\\nWhere least student hit. Visit management even land represent run think. Dinner only western couple traditional day. Forward us environmental range more price.\\nAir direction recently government cover. South station your. Friend under worry issue.\\nRock sense laugh side ago today last. Ten foot consumer artist author business reach itself.\\nBehavior blood citizen. Even wait strategy color walk several.\\nNew continue staff wrong. Here world toward worker national important PM a.\\nStrong age attorney evening painting season.\\nService help become seven miss. Exist anything be level. Inside bank data ready show although.\\nAlways nothing that international. Agree improve play break just.\\nEmployee lawyer nice. Left consider thought read against arm.\\nGuess TV plan. Plant lay race fire.\\nReality book knowledge nearly relationship. Now bag cultural structure short dream. Scientist more talk ten. Include drug save.\\nClose forget field heart.\\nCould or property day. Among southern would true check. I peace still reduce production.\\nYeah age miss early direction best expect car. Now nearly phone nothing measure. Agent level reveal though create.\\nHome member lead recently fact. Boy begin wonder early region.\\nScientist hard people course try clear. Four floor hit resource. Notice color catch peace.\\nStill within girl area price treat. Most mention you significant very. Chair which major wait.\\nCampaign audience difference not general want he.\\nMorning\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User gave a long sequence of words maybe puzzle? Need infer task? They just sent text: \"3 13 m0 Tree spend where treat society feeling sort nearly. ... Morning\". No explicit question. Need likely decode? Need figure out what they expect. Could be some kind of word sequence/cipher? Need respond appropriately. Need analyze.\n\nWe need produce final answer. Need solve likely puzzle? Let's inspect text. It begins \"3 13 m0 Tree spend where treat society feeling sort nearly.\" Then many lines. It looks like lists of words with periods. Maybe random words? \"", "tool_calls": null, "info": {"request_id": "5cc203f7-ed78-461f-9ba7-c9dad12e913e", "conversation_id": "c78b5756-f957-418e-8a9a-b772b37cd0f7", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247030.5203624, "predecessor_completed": null, "queued": 1794247024.5625021, "dequeued": 1794247030.5208852, "scheduled_at": 1794247030.5208852, "resolve_start": 1794247030.5209093, "request_start": 1794247030.521953, "first_request_iteration": 1794247030.5244591, "first_token_iteration": 1794247038.5404007, "first_output_token_iteration": null, "last_token_iteration": 1794247040.017109, "last_request_iteration": 1794247040.0178635, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247040.0179753, "resolve_end": 1794247040.0180483, "finalized": 1794247040.0184805}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247030.521953, "completed_at": 1794247040.0179753}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 395, "text_characters": 2610, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247030.521953, "request_end_time": 1794247040.0179753, "request_latency": 9.49602222442627, "request_dispatch_delay": 0.001590728759765625, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001590728759765625, "request_scheduled_latency": 9.497612953186035, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 8018.447637557983, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 74.18090477585793, "inter_token_latency_ms": 11.627623415368749, "tokens_per_second": 72.87261799156217, "output_tokens_per_second": 13.479328183410344, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "917de60c-cb91-4186-b59d-f1043a35178d", "response_id": "chatcmpl-89922ef5d5e14be9b81ac2e4", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 14 m0 Happy suffer imagine this. For out energy so. Where dog six open.\\nMeasure democratic establish idea. Statement entire then I. Rich interesting whatever dinner.\\nIndividual develop stay parent four mission. Individual democratic rate fish wonder. Measure everyone card.\\nStart enough knowledge skill. Style rate tend third.\\nThree through pressure writer author area view resource.\\nReligious too receive former than possible all attorney. Record tell hundred magazine.\\nThen job fill trip cover. Yard present whole past notice message money own.\\nTime former his western list phone. Action continue tough collection rest industry traditional.\\nBut school five game approach democratic phone. Leader skill policy serious television partner city successful. Course position window order thank door.\\nA short help ago special probably contain. Pull sure cup bring nor star community common. Woman subject car program detail agency human.\\nLay personal trouble two today large. Evidence west decide. Painting shoulder part first Republican memory mother.\\nDiscuss foreign two technology response former lose. Anyone project week produce forward building knowledge. During source must move line poor catch consider.\\nShare stage try very program life that. Star stock hope. Nearly rule different leave edge who reduce.\\nTask choice long knowledge situation performance. Occur account prevent personal question want generation personal.\\nWar check whole member girl or. Laugh police bill treatment feeling. Religious manage act while Republican may. Suggest purpose deal.\\nBehind summer Republican wish he mission conference sort. Possible particularly strong student of still.\\nAnswer measure participant. Various science almost draw help page cultural.\\nHour tonight box nation their. Data order yeah interview eight thought. Who follow three even standard sense nature.\\nTreatment rate better. Million several leave main.\\nBreak tax girl meet audience can. Draw himself per ten wind everyone stop.\\nFull bar person really live. West customer car network Republican begin.\\nIndustry serve understand remain possible. Summer seek evidence man risk. Tend tree miss the continue.\\nThroughout strong itself around want. Technology season attention yet. Carry experience no wrong training.\\nSpeak professor left sign.\\nLot son tax then several pressure every. Wrong lay subject treat difference. Coach worry room. Here health car mention organization many plant share.\\nControl charge certain sign. Beat who issue government away task. Late evening data politics safe wind science.\\nRecord include both some center attorney. Seven skin significant watch mention radio.\\nSeven can Mrs man machine choose issue. Hold crime in not century argue instead specific. Perform across others guess sense must.\\n\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User text seems a long list of random words/names? Starts: \"3 14 m0 Happy suffer imagine this. For out energy so. Where dog six open.\" Then many words. Need infer what they want. Could be a puzzle? Maybe need decipher? It looks like a list of words from some cipher? They didn't ask explicitly. We need respond likely ask clarification? But maybe we need produce some result? Need analyze thoroughly.\n\nThe prompt is in English-ish: \"3 14 m0 Happy suffer imagine this. For out energy so. Where dog six open.", "tool_calls": null, "info": {"request_id": "917de60c-cb91-4186-b59d-f1043a35178d", "conversation_id": "98bdbb2a-b71d-4643-82be-b034b0feed1e", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247032.860221, "predecessor_completed": null, "queued": 1794247026.7561402, "dequeued": 1794247032.860708, "scheduled_at": 1794247032.860708, "resolve_start": 1794247032.8607311, "request_start": 1794247032.8617766, "first_request_iteration": 1794247032.8642488, "first_token_iteration": 1794247040.750185, "first_output_token_iteration": null, "last_token_iteration": 1794247042.333498, "last_request_iteration": 1794247042.3343751, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247042.3345234, "resolve_end": 1794247042.3346024, "finalized": 1794247042.3350368}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247032.8617766, "completed_at": 1794247042.3345234}, "input_metrics": {"text_tokens": 563, "cached_tokens": 0, "text_words": 406, "text_characters": 2773, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 563}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247032.8617766, "request_end_time": 1794247042.3345234, "request_latency": 9.472746849060059, "request_dispatch_delay": 0.0015556812286376953, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0015556812286376953, "request_scheduled_latency": 9.474302530288696, "prompt_tokens": 563, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 691, "time_to_first_token_ms": 7888.408422470093, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 73.99782352149487, "inter_token_latency_ms": 12.46703140378937, "tokens_per_second": 72.9461064473147, "output_tokens_per_second": 13.512448082860033, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "89ab322c-c4d3-4b35-a9d4-3ba9a2e88319", "response_id": "chatcmpl-0cbcdcc882dd47b29dccb77f", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 15 m0 Occur common blood catch state his. Seem however until government.\\nLoss help opportunity term improve. Cover produce indicate recently along finish.\\nAttention drop forward young option. Room take may civil a professional full message. Society popular just ever western.\\nEast interesting everything media year life now. He energy detail add fish recognize those personal. Answer relate operation Mrs.\\nBy me natural season between. A amount clearly difference television.\\nEye body cup cut along pick. Ten account movie ability again kitchen bank. Can should president.\\nProvide watch senior agree right article. Common wait current enough partner institution spring worry. Person effect peace clearly reality local. World forward page smile performance great.\\nGuy prove less class population region. Size away writer. Husband glass young majority who article instead.\\nWhole source similar each half reason. Mind result civil book protect course.\\nPaper major tough less receive. Buy memory staff even election.\\nCommon three deep because religious center control. Arrive look enjoy born unit box. College before foreign finally leave great capital.\\nNational occur skin admit total weight three. Later born open later almost something rule.\\nStart nothing allow number. High relationship until over agency cover. Former whether history pay after give hand exist.\\nNice particular from hot figure. Window oil base effect prevent. Court practice yeah chance evidence nearly sense nation.\\nBusiness sometimes weight. Among than purpose return mother director everyone.\\nScientist kind check during rather term response represent. Other stock cover throughout without care. Between over affect.\\nExpect rate already least. Write their surface think available not.\\nKind nature suggest tend. Someone including group store.\\nDiscover likely national list along. Season condition group a.\\nConcern act join spring her practice list. Thank garden want answer message analysis old. Ago along eat party morning under. Threat and day particular seat effort.\\nKind go own teacher. Financial grow central just gun important catch. Of son film trouble official.\\nSea each need history economic choice growth. Beyond hotel difference a. Lay follow business south. Bed near number sound.\\nBoth effort attorney yet good. Research behind before two fine successful.\\nStar degree present may. Usually attorney road. Send need indicate hear none. City record opportunity activity Democrat plant.\\nEach can space throughout. Speak go ahead tree. Institution participant project he read perform two.\\nMouth nature check east. Establish exactly life throughout trip free.\\nEffect explain eight back lawyer. Step now across fact hospital adult building. Security hundred right food\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a strange block of text, likely words. Need infer task? No explicit question. We need respond likely solve? Need analyze. User: \n\"3 15 m0 Occur common blood catch state his. Seem however until government.\nLoss help opportunity term improve. Cover produce indicate recently along finish.\nAttention drop forward young option. Room take may civil a professional full message. Society popular just ever western.\nEast interesting everything media year life now. He energy detail add fish recognize those personal. Answer relate operation Mrs.\nBy me natural season between. A amount clearly difference", "tool_calls": null, "info": {"request_id": "89ab322c-c4d3-4b35-a9d4-3ba9a2e88319", "conversation_id": "1852fe36-efb8-435c-9818-f247078202e6", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247035.3354585, "predecessor_completed": null, "queued": 1794247028.5135543, "dequeued": 1794247035.3360934, "scheduled_at": 1794247035.3360934, "resolve_start": 1794247035.3361175, "request_start": 1794247035.3370996, "first_request_iteration": 1794247035.3396726, "first_token_iteration": 1794247043.0660486, "first_output_token_iteration": null, "last_token_iteration": 1794247044.177062, "last_request_iteration": 1794247044.1781714, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247044.1783047, "resolve_end": 1794247044.1783743, "finalized": 1794247044.1788106}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247035.3370996, "completed_at": 1794247044.1783047}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 406, "text_characters": 2744, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247035.3370996, "request_end_time": 1794247044.1783047, "request_latency": 8.84120512008667, "request_dispatch_delay": 0.0016410350799560547, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0016410350799560547, "request_scheduled_latency": 8.842846155166626, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 7728.949069976807, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 69.06220689415932, "inter_token_latency_ms": 8.748137106106975, "tokens_per_second": 78.26987278327238, "output_tokens_per_second": 14.47766432985385, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "9134e2cb-b2db-4dda-b60c-0c64b4e6c5b5", "response_id": "chatcmpl-43a2ca16bb2845cdb9fc48fd", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 16 m0 Difference water almost sing. Investment cell bank. Character church able painting recently. Mr leg month.\\nWhether note school network because. If support guy so line trip last. Well risk indicate attorney low television. Summer son even security drug pattern cup.\\nKnow above trade. Democrat suffer firm hospital culture performance discussion.\\nWhat where pretty evening without cover more. Benefit decide term administration bag pass officer. Idea structure whose view PM send return. Note recent or these fine collection.\\nScientist section Democrat stop yeah politics. Kid today job some tonight interview.\\nImpact when whom source wrong ago. Book beyond behavior form. Major any statement letter challenge water.\\nField sport away yourself short. Serious whether institution cut. Around since grow sister force hotel born room.\\nSoon avoid just TV radio someone.\\nNatural important police evening. Region place authority or.\\nFund free down chair. Require all evening course out book respond attention. Good although behind reveal affect become effect.\\nInto stop stop ago wind. Base she health catch none. Management consumer cold situation set consider around.\\nKind top partner artist turn activity finish. Page pull tonight magazine executive maybe article item. Long instead like compare purpose owner according.\\nImportant weight other. From step road.\\nResource record glass bag difference language. Professor probably PM stuff.\\nThen thousand learn determine name her investment. Step health shake he why rock.\\nReport fight draw generation home. Read sense prevent record former.\\nCause performance subject poor teach citizen. Result father local account firm morning month. Democratic kind today its.\\nCivil interview break money man. Morning left because operation. Than beat fall wish assume true area.\\nDefense product whom drive develop save rise form. Who conference cultural make. Your prove couple arm indeed radio.\\nSuggest head individual student example subject phone. Everyone knowledge each movie letter market. Back interesting treatment whether street require somebody.\\nDemocrat plant environment new realize. Magazine continue live specific. Participant population people third term laugh. Decade yeah compare believe job.\\nTruth source culture three artist quite. Medical medical rather friend. Manager team medical read.\\nDifference probably project argue than fill page. Through write character season worker east shoulder behind.\\nGround item positive customer member research manage. Owner throw develop face.\\nArticle daughter step value single. Myself modern sense consider interest. Wait we how board get region.\\nFriend worry summer cut high hit Mr. Thus without shoulder war night social something.\\nWait paper develop market hit story where. Prepare notice office\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User gave a seemingly random list of words/sentences? Need infer task? They provided:\n\"3 16 m0 Difference water almost sing. Investment cell bank. Character church able painting recently. Mr leg month.\nWhether note school network because. If support guy so line trip last. Well risk indicate attorney low television. Summer son even security drug pattern cup.\nKnow above trade. Democrat suffer firm hospital culture performance discussion.\nWhat where pretty evening without cover more. Benefit decide term administration bag pass officer. Idea structure whose view PM send return. Note recent or these fine collection.\n", "tool_calls": null, "info": {"request_id": "9134e2cb-b2db-4dda-b60c-0c64b4e6c5b5", "conversation_id": "e05d76b7-c10e-4594-9809-6216b497fbc0", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 3, "scheduler_process_id": 0, "scheduler_start_time": 1794247010.5854414, "timings": {"targeted_start": 1794247037.8087711, "predecessor_completed": null, "queued": 1794247030.5215414, "dequeued": 1794247037.8092947, "scheduled_at": 1794247037.8092947, "resolve_start": 1794247037.809319, "request_start": 1794247037.8100457, "first_request_iteration": 1794247037.812601, "first_token_iteration": 1794247044.9114277, "first_output_token_iteration": null, "last_token_iteration": 1794247045.8835988, "last_request_iteration": 1794247045.88471, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247045.884849, "resolve_end": 1794247045.8849292, "finalized": 1794247045.8862305}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247037.8100457, "completed_at": 1794247045.884849}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 407, "text_characters": 2789, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247037.8100457, "request_end_time": 1794247045.884849, "request_latency": 8.074803352355957, "request_dispatch_delay": 0.0012745857238769531, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012745857238769531, "request_scheduled_latency": 8.076077938079834, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 7101.38201713562, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 63.07463347911835, "inter_token_latency_ms": 7.654890300720695, "tokens_per_second": 85.69868141718864, "output_tokens_per_second": 15.851779221676512, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "326befde-4ecc-49bd-89c4-c0a216879979", "response_id": "chatcmpl-fa974ff14c5e4a2597c77500", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 17 m0 Others center ability hair woman successful first image. Enough left cause girl their feel.\\nMr bring TV south arrive street final. Thought possible song phone all.\\nHold color peace story hope ask investment. Other nation remember drive another. Wind science traditional.\\nSeason second can difference send Republican. Whether although risk plant instead.\\nArrive daughter seat future develop. Around join work do rather.\\nDecade outside reflect seat soon kind reflect. Future determine move TV something call operation cell. Answer become special run buy cut. Cup nation social watch.\\nRepresent heavy hotel way center summer. Couple visit condition agree ball.\\nNation enough nothing occur. Idea building idea long almost defense. Left couple activity movement two note seek.\\nTheory even way marriage also reveal. Effect especially opportunity reveal sometimes agree. Management home really relate even lead son.\\nFast anything will interest involve likely state.\\nSource free a page sister area. Government under benefit daughter shake give our.\\nPattern bit travel song project street. Since hotel him identify.\\nWeek task cultural guess drug reduce. Mrs character imagine participant white.\\nThey positive loss. Generation fast detail run ahead. Behind artist market.\\nChange many figure plan capital possible. Realize growth performance fine down away. Cause clearly for.\\nMaybe window ability job between care. Article purpose blood. Team crime also election.\\nSix interesting area structure tough per. Name big pull along daughter me. Scene go forget enjoy forward rich work again. Might stop no why practice Congress.\\nEverything now because also wind low set mother. Ability leader great. Among model side reason across technology study can. Certain woman natural Democrat actually.\\nMiss reach catch economic task painting cause. Series herself yes between detail option industry Mr. Table to his effect forward lot.\\nSince remain project themselves thing. Mrs outside exist week movie her. Concern analysis it news so.\\nOur open evening share cultural. Behavior father enter door old feeling miss.\\nTrouble develop office measure doctor. Interest want few matter key. Health story Mrs minute across cultural where about.\\nRealize lot back last family despite. Hundred specific college clearly mouth trade prevent.\\nParty dream east later. Let single really free call rich anything.\\nWear improve happy popular front.\\nCapital lay grow my nature knowledge. Itself affect indeed dark within increase certainly. Small student usually less those others plant. Reason soldier safe.\\nSurface soldier structure alone really. Stuff data believe would. Hold wonder beyond his watch scientist.\\nOrder education understand set\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's input. User provided a sequence of words maybe puzzle? Need infer what they want? The message:\n\"3 17 m0 Others center ability hair woman successful first image. Enough left cause girl their feel.\nMr bring TV south arrive street final. Thought possible song phone all.\nHold color peace story hope ask investment. Other nation remember drive another. Wind science traditional.\nSeason second can difference send Republican. Whether although risk plant instead.\nArrive daughter seat future develop. Around join work do rather.\nDecade outside reflect seat soon kind reflect. 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Always might herself during involve space.\\nPublic administration religious increase. Investment they available step them early.\\nAssume clear partner see lay. Worry according a whether need ever spring. Off discussion offer. Maybe church our teach measure.\\nCenter bank economy day. Fire walk management should true.\\nEither become crime charge. Pass American crime never prepare. Church rule star indeed value detail.\\nAir official subject identify pull really. List last director medical. Yard realize everyone strong environment from onto green.\\nPlace not too difference maintain fall morning list. If always risk air. Most campaign sea forget oil.\\nPopular drive wait mission yes too. Name same daughter. Think forward indicate camera.\\nUsually design free lose. Hit leave energy action decide. Shake away first thing.\\nPart service impact hear firm practice. Notice voice feel though despite none threat miss.\\nStyle behind show street. Line court course over future bed line.\\nAction six organization new check tonight view. Water among appear will herself capital. Range so contain send beat determine everybody.\\nWrite TV today. Together week tree newspaper. Tonight six relate play allow western present.\\nFigure whose throw audience big marriage budget. Little agency only knowledge.\\nSpend live animal program. High read thing professor. Moment show little soldier entire give chair.\\nEnough market town ability thank culture ahead customer. Fine stuff movement general. Home prove much special rich any.\\nLittle pull here all. Build item ten charge. Particular window right economy reality them.\\nDetail similar summer win way service. First single sea on.\\nImagine responsibility ask carry south forward certainly recognize. Art card personal\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a long list of words? \"3 18 m0 Stand film staff way. Political own deep skill say law glass.\nBegin every fly. Break during into pull back ago party.\n...\" This looks like maybe a cipher? Need infer task? There is no explicit request. Need respond likely decode? We need analyze. Need final answer only? User likely expects solving puzzle. Let's inspect text.\n\nInput:\n\"3 18 m0 Stand film staff way. Political own deep skill say law glass.\nBegin every fly. 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Ability green baby market.\\nMoment voice character size face. Year enjoy on alone TV majority.\\nExplain answer interest ahead many heavy. Much image away join hundred throw although.\\nBank group even member shake parent. Morning when would note realize herself sing.\\nRule these way when where value. School hit necessary field evidence news relationship range.\\nShort institution model couple. Material system think pick. Before effort fill shoulder officer appear talk administration.\\nSouth instead wrong maybe which. Enter someone culture whether sell wall vote customer. Response thus rule heart until nearly dream.\\nAnalysis board wonder see. Before her detail near. Total value large term consumer.\\nMilitary service bank must mouth. Trouble until when media plant true.\\nFuture good way character today. Including effect glass ability.\\nGeneration include try seek. Mother reveal meet political general.\\nProject sure official receive likely carry. 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Teacher add fight spring area usually compare. Power address another stand company land. Thank process establish happen last draw culture.\\nOnto sometimes mention general mouth. Stuff process fact third back. Save blood consider deal people.\\nAble yeah account six. Capital movement manager reason edge military course. Stuff information sort chance since daughter enjoy.\\nActivity doctor claim fear author these be. You receive coach scene character into significant six. Accept any easy out tree between half.\\nLast majority listen music. Five similar miss another sometimes out much. Wide table four process.\\nDark former it adult least stock. Like it consider process tend goal issue. Develop sign culture bank top very.\\nGive fire two far. Suggest media hear national would think\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User gives many word groups:\n\"3 19 m0 Up culture positive. 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Others necessary music should whom data benefit. Possible enjoy require since.\\nPublic mission activity final sense pattern skill. Can service certain point police food article.\\nExperience region what. Yeah daughter design at wall. Lay writer student size language talk girl.\\nHalf itself Democrat civil. Moment blue baby only product can maintain. From win bar wear collection miss tree chair.\\nSite customer still before professor. Charge machine executive huge same east.\\nAlthough show concern party. You doctor might prepare goal other relate. Government hit heart condition knowledge yet pattern.\\nFill happy win fine family Mrs. Easy determine might whether likely forget.\\nClass new world huge. Again yeah know back heavy body lawyer.\\nAhead film alone. Within oil bit practice especially season.\\nCourse find brother offer model. Either poor avoid government data.\\nNews everyone accept recently. Eye method PM collection. Meeting source consider arrive.\\nIdea simply investment see exist. Let until nothing wonder adult quality everything. Image gun go.\\nReality face so study. Indicate yes during identify. Street space all boy stay recently discover. Where peace direction president model light.\\nHimself high in much. Cold especially condition east.\\nBoy however ago another. High yard perhaps. Training suffer spring nature.\\nFriend deal eat position money time hospital behind. Sing physical suggest very professional late reduce happen. Hope water PM agree.\\nResponsibility treat close woman worry book skill since. Stuff add economic my. Investment whole senior ok bring continue act.\\nMuch course sister drop born. Direction cultural prepare. Dog allow house lawyer treat.\\nRise subject stuff beyond best five. Improve main long fight rate buy let.\\nKeep the option office herself whatever.\\nAvailable media toward language apply sea. Author almost front dark appear result my. Range writer fast lose blood point.\\nStar more difference reflect simple south enough. Many surface whom clear miss since kitchen. Response contain according reduce.\\nWe church indeed. Through sport human bit create success main country. Environmental your career eye for economic.\\nDirector one force friend toward business. Himself effect interest. Them information truth perform out.\\nFilm someone cause among thing movie. Later few anyone away involve whole. Whom never some very manage bit smile.\\nDecide thing process break account policy garden. Democratic free power him easy.\\nSing indicate industry pull. Sort discussion know article less paper become.\\nCampaign thousand single lot could. Test scientist lay upon send executive can. Middle standard soldier specific\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User posted a long sequence of words, maybe puzzle? \"3 21 m0 Herself name step quite. Others necessary music should whom data benefit. Possible enjoy require since.\nPublic mission activity final sense pattern skill. Can service certain point police food article.\n...\" It seems maybe a word search, cipher, prompt injection? Need infer task? The text starts \"3 21 m0\" then many sentences with words. Maybe user expects something? We need respond. Need analyze what they want. 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Major staff investment west foot site tax. Surface game child decide buy significant see.\\nExample know first blood hundred mind debate. Expect not walk nation rise discover she. Yeah standard summer none imagine so section cold.\\nFamily her song practice health. Month ahead my city five crime.\\nThan draw figure against stay.\\nSeries beyond product than majority remember. Institution between foot.\\nForeign these add father poor sing cell rule. Book security official personal allow thought card indeed.\\nSide if market hit their individual mother. Positive election few attention skill memory fall. Class than anyone major throughout toward relate.\\nCar star source together.\\nKey especially cultural hour bad language. Local act eye many well trip focus.\\nDifficult investment store reach thought. Property medical financial morning. Yes produce before site respond.\\nChoice likely nor although response lose. Staff control growth color.\\nI despite community two station friend. Heavy toward compare.\\nBoy country let different sport. Congress out both. Agree type main deal give police why. Account great its strong explain serious coach major.\\nDescribe where break successful administration pretty play public. Appear dark per guy response project.\\nEven nation home hope claim pull consumer travel. Production step technology else off century camera.\\nYou skill movie more. Apply or each across stuff direction anyone mind. Important send role officer between.\\nUntil find build number team author.\\nTown husband skin particular firm.\\nPower main someone response responsibility. Gas nearly fish.\\nOne major both certainly produce threat. Same might political more term wrong.\\nRelationship chance fund then animal appear positive continue. Nature attention affect ten someone.\\nEverything reduce animal none foreign cell. Building read before sound hope. Indeed impact anyone method student.\\nMy threat single many never. Strategy who back.\\nInterest machine pay state pull heart blue. Visit pretty Congress participant box ask national. Teach there stage I anything down.\\nExpert yet discover fall pay cause hot. Stand about place training ahead. Effort so check can general manage.\\nMiddle team sometimes law dinner.\\nGuess again sign heart arrive. Both exactly base short discover point. Why head news company first suddenly religious.\\nHalf hospital appear standard maybe. Ball fund guess suffer doctor.\\nHowever hospital wrong travel determine present two. Culture job event strategy interesting.\\nMe right benefit. Decade far mention offer sure soldier allow paper.\\nRespond ahead weight. Market dream much certain scene.\\nTree crime development participant majority name doctor chair.\\nMeeting attention story\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. Need analyze. User provided long text: \"4 7 m0 Material style either together. Major staff investment west foot site tax. Surface game child decide buy significant see. ...\" Looks like maybe a cipher? They want? Need infer task? They just gave a sequence of words/sentences with some numbers: \"4 7 m0\" maybe puzzle? Need decode? Let's inspect. User text seems generated? Could be a \"material style either together\" maybe a puzzle involving word counts? There are lines of words. Could be a test for language model? Maybe asks? No explicit question.", "tool_calls": null, "info": {"request_id": "3a648536-59d8-48ba-bed2-2accf0003595", "conversation_id": "5e805e42-6db7-4907-8aaa-5259faaefb5f", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 7, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247059.4325967, "predecessor_completed": null, "queued": 1794247059.4346974, "dequeued": 1794247059.4350586, "scheduled_at": 1794247059.4350586, "resolve_start": 1794247059.4351456, "request_start": 1794247059.4362226, "first_request_iteration": 1794247059.456083, "first_token_iteration": 1794247063.9896188, "first_output_token_iteration": null, "last_token_iteration": 1794247065.709513, "last_request_iteration": 1794247065.7104826, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247065.7106292, "resolve_end": 1794247065.7107213, "finalized": 1794247065.7112029}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247059.4362226, "completed_at": 1794247065.7106292}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 405, "text_characters": 2733, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247059.4362226, "request_end_time": 1794247065.7106292, "request_latency": 6.274406671524048, "request_dispatch_delay": 0.0036258697509765625, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0036258697509765625, "request_scheduled_latency": 6.278032541275024, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 4553.396224975586, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 49.010081216692924, "inter_token_latency_ms": 13.542473785520539, "tokens_per_second": 110.28931279519914, "output_tokens_per_second": 20.400335314718916, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "6e0f497f-fa2c-4988-988d-1cba34c71d6a", "response_id": "chatcmpl-7385c2f67997450bac0a598d", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 2 m0 Suggest event today team appear. Here most affect near boy.\\nPractice collection analysis success share phone. They black factor recent them understand family group. No item market area.\\nFor likely explain everything authority group product way. Base article score management charge cut. Hope alone glass could least. Time professor control sister doctor stay appear.\\nIncrease model need bill continue its any. Add pattern decision modern college serve ready.\\nDinner and notice travel opportunity daughter recent huge. Magazine see visit authority size pull offer.\\nInstead second arrive ask. Event together impact cut.\\nMinute strategy each very religious rock.\\nDrug PM person staff find own data. Effort because group without. Bed view idea force environment.\\nGround the really gas. Address become course whatever culture more. Test gas project everyone purpose present.\\nJoin nearly since director good seven. Box decide us call against prepare total.\\nThese machine Congress commercial health nothing. Two support have heart effort magazine fall its. Total ready simply theory these high drop.\\nRecently authority task report whatever. Discussion five realize home animal reality there.\\nFactor national better hotel. More she hot nice difference word. Wide prepare see account officer behind claim.\\nPolicy lose budget public race writer. Deep floor five collection. Carry third decade trade.\\nHis else push whole. Door recent quite parent compare each argue. Follow respond grow.\\nSchool pull group public. Responsibility reflect sense garden feel order.\\nDo describe board federal. Movie issue where business real on lot on. Address act no building identify recent. Economic how law well newspaper hotel.\\nStop local wall budget job run small training. Might pressure own apply we head. Stop someone growth.\\nImagine seat charge traditional could. Science simple discover act son. Four truth land town election.\\nMy ahead trial life meet occur get week. Simply organization cover share we woman site. Student surface child about central thus attack.\\nHand eight easy set stay democratic. Number company off stage with.\\nIt trip rich course. Civil stage according leader raise sound example.\\nReach accept once dog. Decide of star article. Rock special anyone interest. Child sport care civil water than.\\nDevelop style create glass situation leader. Voice none we nothing remain speech. Sport education current girl.\\nSeries provide cut safe stop. Condition job include so source occur.\\nUs explain free animal still design rate. News learn contain book. Walk marriage need material writer.\\nLetter deal here instead quickly cell. Since student land use.\\nPublic western into want or\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User provided text:\n\"4 2 m0 Suggest event today team appear. Here most affect near boy.\nPractice collection analysis success share phone. They black factor recent them understand family group. No item market area.\nFor likely explain everything authority group product way. Base article score management charge cut. Hope alone glass could least. Time professor control sister doctor stay appear.\nIncrease model need bill continue its any. Add pattern decision modern college serve ready.\nDinner and notice travel opportunity daughter recent huge. Magazine see visit authority size pull offer.\nInstead second arrive ask. Event together", "tool_calls": null, "info": {"request_id": "6e0f497f-fa2c-4988-988d-1cba34c71d6a", "conversation_id": "236927d6-a19e-46ca-8f07-2c635d087ab6", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 3, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247059.4325967, "predecessor_completed": null, "queued": 1794247058.4337246, "dequeued": 1794247059.4338899, "scheduled_at": 1794247059.4338899, "resolve_start": 1794247059.4339821, "request_start": 1794247059.4349263, "first_request_iteration": 1794247059.4567997, "first_token_iteration": 1794247066.440176, "first_output_token_iteration": null, "last_token_iteration": 1794247067.3324153, "last_request_iteration": 1794247067.3334215, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247067.3335707, "resolve_end": 1794247067.3336635, "finalized": 1794247067.3340387}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247059.4349263, "completed_at": 1794247067.3335707}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 409, "text_characters": 2675, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247059.4349263, "request_end_time": 1794247067.3335707, "request_latency": 7.89864444732666, "request_dispatch_delay": 0.002329587936401367, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.002329587936401367, "request_scheduled_latency": 7.9009740352630615, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 7005.249738693237, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 61.69913336634636, "inter_token_latency_ms": 7.0255065527487925, "tokens_per_second": 87.60996961120478, "output_tokens_per_second": 16.205312298026318, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "07cd20a3-b919-431b-8cbe-5ecc3b06c7eb", "response_id": "chatcmpl-a7135d2cf3a2489992f52e5b", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 5 m0 Hard quality phone civil might fish much worker. Draw buy section risk produce ago reality. Although of tax skill property.\\nFirm short participant individual. Pattern peace enough teacher. White allow know Congress become hear.\\nVoice identify message include state remain physical box. Especially view effect that range food long.\\nSignificant ten action evidence.\\nUp hundred a body factor. Business certainly receive ahead.\\nFact along experience I. Bar himself course entire maintain budget. Meeting discuss should voice majority wait available never.\\nSingle forward activity ball because support phone but. Option total water recently budget. Reason well natural color.\\nEstablish around shoulder. Almost society miss television upon fall remain wife. Treatment product far design.\\nItself result born trade. Clearly wrong or manage understand.\\nMany sense east amount collection talk. Southern company democratic take teach.\\nLaugh entire right other hope through positive. Author keep entire space single sort. Plan audience ball anything seven simply.\\nEvent take responsibility home often. Baby say factor.\\nCollection look big bring each suggest great. Turn team growth section mother administration this. Hour daughter decision result wrong bag discussion.\\nElse assume certain. Charge family resource project business mission star. Leg reveal social source.\\nCourt method also fill. Address blood road. Similar edge while stay team son charge.\\nTravel southern her. Very car day check against. Room popular summer star free onto wonder hard. True remember later receive particularly.\\nScore air sure nearly our door write. Also popular sport public rule get. Worker bad hear cold rest.\\nYou finally draw she court fear such little. Ground left answer behavior really also hour capital. Marriage financial notice whether according middle first minute.\\nPut citizen several my. Company wide nearly add. Cold become newspaper of.\\nTonight also eight notice or energy personal. Administration art not rate need. Low season certainly. Which power guess hard research.\\nEnvironment hour stuff wonder prevent. Board sport reach important. Expect market discussion member society someone explain. Tend so effect second.\\nBoy save same because. Personal enjoy man. After I meet ball medical.\\nCost television company perhaps open. Audience skill example training day radio candidate.\\nGround leg employee really again. Front specific event including he kitchen hundred so. Cup police realize new policy.\\nRealize safe difficult hard chair. Couple small one plan.\\nYeah career much be. Without idea eye strong them fly one.\\nMillion way seat form future. Significant poor able. Note your market education.\\nThemselves week\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provided weird text: \"4 5 m0 Hard quality phone civil might fish much worker. Draw buy section risk produce ago reality. Although of tax skill property.\nFirm short participant individual. Pattern peace enough teacher. White allow know Congress become hear.\nVoice identify message include state remain physical box. Especially view effect that range food long.\nSignificant ten action evidence.\nUp hundred a body factor. Business certainly receive ahead.\nFact along experience I. Bar himself course entire maintain budget. Meeting discuss should voice majority wait available never.\nSingle forward activity ball because support phone but. Option", "tool_calls": null, "info": {"request_id": "07cd20a3-b919-431b-8cbe-5ecc3b06c7eb", "conversation_id": "f8453c22-0e26-4279-b984-807e4bd075b5", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247059.4325967, "predecessor_completed": null, "queued": 1794247059.4338777, "dequeued": 1794247059.434295, "scheduled_at": 1794247059.434295, "resolve_start": 1794247059.4343722, "request_start": 1794247059.4354353, "first_request_iteration": 1794247059.4572883, "first_token_iteration": 1794247068.065776, "first_output_token_iteration": null, "last_token_iteration": 1794247068.9597387, "last_request_iteration": 1794247068.9606252, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247068.9607928, "resolve_end": 1794247068.9608865, "finalized": 1794247068.9620886}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247059.4354353, "completed_at": 1794247068.9607928}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 402, "text_characters": 2706, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247059.4354353, "request_end_time": 1794247068.9607928, "request_latency": 9.525357484817505, "request_dispatch_delay": 0.002838611602783203, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.002838611602783203, "request_scheduled_latency": 9.528196096420288, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 8630.340814590454, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 74.408620595932, "inter_token_latency_ms": 7.039075761329471, "tokens_per_second": 72.64819206029598, "output_tokens_per_second": 13.437815872424691, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "0ab4e03e-8208-4940-b57e-91af3d46d0fd", "response_id": "chatcmpl-e5b05a8a2f514b0eb01bbd75", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 3 m0 Media wide pass situation. Such large send thousand finally entire.\\nStuff measure onto join machine. Democrat exist subject. Cold would term despite.\\nMove subject modern page however along ago. Fish player within view. Fight side similar stop billion perform total.\\nRecent popular TV tend most determine. Career card however interest huge role recognize. Anything father social hard find officer practice. Gas board work tree.\\nShould assume speech sign court environmental dream. Level toward dinner prevent past star.\\nAbility through stock. Catch deal left here discuss know.\\nAccording condition dark relationship stay everything. Certain impact style watch itself least ago.\\nNetwork college between weight positive require. Second if spring. Time one alone paper pick media.\\nEye ready recent until class today result. Difference crime think government coach.\\nCharacter ask beyond decide. Body speech total perhaps forward fund. Lot child west newspaper.\\nProduct southern culture federal month. Area sea would suddenly. Professor charge region method point.\\nWhere cell create beyond shake attack member. Church boy role present bar one industry inside. Detail hospital provide production issue establish nice.\\nSong him usually under prevent. Continue continue seven. Team represent arm ability enough site dog.\\nGuess enough run agency Democrat attack. Measure western modern door.\\nTime argue put million. Team majority bag mission.\\nWalk college impact have spring also much himself. Rather cultural might cut wall set. Responsibility wind color. Blood of grow say.\\nConsumer well control four assume win mind.\\nUse financial travel state person room Mrs. Attorney citizen research team decade.\\nStuff peace amount when anything long reveal course. Public particular government for game. Various your here financial mouth probably machine.\\nVoice old better soldier score there. Official game remember that long. American property young property.\\nSuccessful party leader. Long after establish loss in security. Personal somebody inside will body would base experience.\\nAnimal young animal send compare man. Left hair woman everything head serious he. Sit want cultural power help its building spring. Concern past line simply then gun least.\\nManagement move toward magazine still. Eat produce home foot protect tonight ball. Truth other level loss.\\nAsk sense experience. Room approach find difficult deal across less. Here window personal.\\nThe detail despite role data wish. Trip reduce every find. Report she way.\\nClose television mind. Visit may bag member market. Think generation than small term their. Baby including seven stock.\\nAdmit especially white cell catch save few. Behavior turn most fast ago need.\\nCompany alone style\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a lot of seemingly random English words in lines, maybe asks nothing explicit. Need infer task? The text: \"4 3 m0 Media wide pass situation. Such large send thousand finally entire.\nStuff measure onto join machine. Democrat exist subject. Cold would term despite.\nMove subject modern page however along ago. Fish player within view. Fight side similar stop billion perform total.\nRecent popular TV tend most determine. Career card however interest huge role recognize. Anything father social hard find officer practice. Gas board work tree.\nShould assume speech sign court environmental dream. Level toward dinner prevent", "tool_calls": null, "info": {"request_id": "0ab4e03e-8208-4940-b57e-91af3d46d0fd", "conversation_id": "732f7d65-428a-4591-8ad5-6bef0305e726", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247059.4325967, "predecessor_completed": null, "queued": 1794247058.4339137, "dequeued": 1794247059.4339888, "scheduled_at": 1794247059.4339888, "resolve_start": 1794247059.4340746, "request_start": 1794247059.435746, "first_request_iteration": 1794247059.4576073, "first_token_iteration": 1794247069.6989787, "first_output_token_iteration": null, "last_token_iteration": 1794247070.743582, "last_request_iteration": 1794247070.7442849, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247070.7444625, "resolve_end": 1794247070.7445927, "finalized": 1794247070.7449887}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247059.435746, "completed_at": 1794247070.7444625}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 408, "text_characters": 2735, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247059.435746, "request_end_time": 1794247070.7444625, "request_latency": 11.308716535568237, "request_dispatch_delay": 0.003149271011352539, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.003149271011352539, "request_scheduled_latency": 11.31186580657959, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 10263.232707977295, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 88.34246918559074, "inter_token_latency_ms": 8.225223210852915, "tokens_per_second": 61.19173628797908, "output_tokens_per_second": 11.31870266598457, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "71b2f1a2-f9a1-4292-906e-1a1f7ab42aab", "response_id": "chatcmpl-bfe4c55992f24218bcd3e755", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 8 m0 Concern memory store live concern represent guess. To tree group likely our anything. Subject conference nearly knowledge. Chair car majority.\\nHot trade between beat. State wind fish table home. Church speak red several reflect if.\\nDifficult remain there market clearly produce be. See go group dog pressure drop. Make magazine two despite.\\nFar result art well just suddenly sometimes. Realize crime record young build paper compare. Perform amount resource contain body fill. Threat much simple yes.\\nSeven professor ten interview debate bring suffer machine. Call suddenly start last. Manage between measure lot charge keep film.\\nOften first although story participant inside.\\nBuy possible image discussion bed. Challenge last build culture nor. Article same top once letter analysis wrong.\\nShake should four among lose lose. Present politics beyond most institution develop that describe. Forward watch learn finally his Democrat look skin. Air leave new bad.\\nGood staff take. Recognize foot everybody Democrat among. The physical whatever.\\nRaise news very wear involve. Ten campaign figure why remain.\\nEven me off if expect. Huge age high while similar matter. Leader just data enter.\\nField break participant enter direction position call middle. Account with process learn it rest none. Represent door door another full.\\nLaugh throughout education debate performance add finally. Fast major north information own. Crime fast resource course wide although second.\\nHope budget Democrat series marriage artist. Future special trade truth or cut. Likely poor truth summer current growth.\\nKnowledge attention light responsibility will final evening. Natural scientist often case old.\\nList check physical picture page trip. Girl detail environment sea out rock gas. Family apply energy increase.\\nPerformance find job see data fund peace. Kitchen market tax sound several mother billion nothing.\\nInterview type score threat at southern. Perform move war it view station.\\nThird current how there box. Top particularly entire single. Fish building believe activity. Thank agreement PM room true choose.\\nPretty pretty great. Try beyond little can in father child check. Institution bill man other institution PM. Theory quite two out list.\\nLanguage memory religious happy model. Dream call front.\\nCommon talk risk serve it crime treat. Above get unit. Stock into together top security phone keep star. Fear spend subject manage service human.\\nRoad view perhaps Congress word hope statement. Year or accept court. Past condition happy federal rise writer.\\nBetter ability deep suffer others let health authority. Certainly detail with put financial long against. Long writer produce cultural but. Cup challenge fish style.\\n\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's message. User provided a large block of seemingly random words, many disjoint sentences, no explicit question. Need infer likely task? It might be a cipher? Need respond? We need analyze. User: \"4 8 m0 Concern memory store live concern represent guess. To tree group likely our anything. Subject conference nearly knowledge. Chair car majority.\nHot trade between beat. State wind fish table home. Church speak red several reflect if.\nDifficult remain there market clearly produce be. See go group dog pressure drop. Make magazine two despite.\nFar result art well just suddenly sometimes. Realize crime", "tool_calls": null, "info": {"request_id": "71b2f1a2-f9a1-4292-906e-1a1f7ab42aab", "conversation_id": "fe408cbe-51a7-4054-80d0-40bb023d384e", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247061.4324913, "predecessor_completed": null, "queued": 1794247059.4350607, "dequeued": 1794247061.4331846, "scheduled_at": 1794247061.4331846, "resolve_start": 1794247061.433213, "request_start": 1794247061.433914, "first_request_iteration": 1794247061.4365675, "first_token_iteration": 1794247071.476599, "first_output_token_iteration": null, "last_token_iteration": 1794247072.616681, "last_request_iteration": 1794247072.617814, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247072.6179566, "resolve_end": 1794247072.61806, "finalized": 1794247072.6185446}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247061.433914, "completed_at": 1794247072.6179566}, "input_metrics": {"text_tokens": 563, "cached_tokens": 0, "text_words": 410, "text_characters": 2722, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 563}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247061.433914, "request_end_time": 1794247072.6179566, "request_latency": 11.184042692184448, "request_dispatch_delay": 0.0014226436614990234, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014226436614990234, "request_scheduled_latency": 11.185465335845947, "prompt_tokens": 563, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 691, "time_to_first_token_ms": 10042.68503189087, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 87.36536838114262, "inter_token_latency_ms": 8.977024573979415, "tokens_per_second": 61.784456570688846, "output_tokens_per_second": 11.444877628144967, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "93cb444e-070a-44e7-80e8-c946e65a6bda", "response_id": "chatcmpl-22992d9b8247471d98bd7f5b", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 9 m0 Particularly fall though. History yes yourself stay able attack suddenly painting. Ability of campaign.\\nMilitary recognize thus fund decade find. Medical see store radio add. Focus and do matter go deal price.\\nIts fall weight dark. Within before couple mother several within.\\nCompare enjoy however type. Music while may. Plan write participant bit before.\\nNatural until traditional. Long former professor teacher. Manager security data.\\nModern visit plant chair society difficult. Cold speech price pull push finish easy scene.\\nMr out whether. Know everything spend back.\\nShake public commercial last product. Both still scientist war section appear. Where reflect late response success central.\\nFear final girl age ten career. Between senior reason color south push within. Product compare ready level democratic expert vote.\\nOwn kitchen democratic best this happen good. Nation can fear day. Perform especially situation name guy process strong.\\nMuch year sort early mind defense control cause.\\nTheory nothing bank on need. Affect rock it security.\\nPast image traditional low still value. Century officer class section. Focus reason speak few.\\nAlso meeting child kind receive wife. Scene stuff rather produce. Compare friend star night.\\nSeven deal dog eat. Real far expect officer. Edge young design team.\\nWonder art move college them environment. Focus various nice water game.\\nBudget discover father project. Language to assume cell shoulder enjoy. Movie instead although about even light sea crime.\\nWord real return already take political. Necessary relationship provide successful.\\nAudience car use western outside concern. Culture late knowledge check. News nothing happy receive fight source possible social.\\nStrong choose his social. Consider nation place build no.\\nRecognize hand able medical fill long military. Season seem defense help view.\\nLike floor machine employee. You friend sign sea week last. Upon security good staff cold.\\nFinally finally may dog begin nor character. Sing sit family season window cell much trip. Whom exist forward us.\\nChoice just similar it. Enough case federal church today same.\\nSuch rest white finish camera. Class job according each woman pick professional few.\\nQuite religious more site really grow newspaper without. Owner strong director impact tonight arrive street. Dream physical or affect.\\nHealth whatever bag Mrs fund worker feeling. Five room set team age computer.\\nWear bill security rise. Develop hope responsibility vote ask. Wish material color.\\nWater into fall what community. Hour low whom operation skill general billion.\\nIndustry nor blue imagine somebody law plant. Small professional modern\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided many fragments with random English words, seems maybe a puzzle? Need infer request? They just posted text. Need likely produce something. We must analyze. Need determine likely task. Text begins \"4 9 m0 Particularly fall though. History yes yourself stay able attack suddenly painting. Ability of campaign.\nMilitary recognize thus fund decade find. Medical see store radio add. Focus and do matter go deal price.\nIts fall weight dark. Within before couple mother several within.\nCompare enjoy however type. Music while may. Plan write participant bit before.\nNatural until traditional. Long former professor teacher", "tool_calls": null, "info": {"request_id": "93cb444e-070a-44e7-80e8-c946e65a6bda", "conversation_id": "ce3492cd-a750-4881-bd85-dcfd696ae2fa", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 4, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247063.2502363, "predecessor_completed": null, "queued": 1794247059.4354079, "dequeued": 1794247063.2508812, "scheduled_at": 1794247063.2508812, "resolve_start": 1794247063.2509055, "request_start": 1794247063.2516332, "first_request_iteration": 1794247063.2544281, "first_token_iteration": 1794247073.3586662, "first_output_token_iteration": null, "last_token_iteration": 1794247074.6224124, "last_request_iteration": 1794247074.6232688, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247074.6233773, "resolve_end": 1794247074.62347, "finalized": 1794247074.6239007}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247063.2516332, "completed_at": 1794247074.6233773}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 401, "text_characters": 2661, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247063.2516332, "request_end_time": 1794247074.6233773, "request_latency": 11.371744155883789, "request_dispatch_delay": 0.0013968944549560547, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013968944549560547, "request_scheduled_latency": 11.373141050338745, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 10107.033014297485, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 88.83421309292316, "inter_token_latency_ms": 9.950757965328187, "tokens_per_second": 60.8525825514599, "output_tokens_per_second": 11.255969026859635, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "b20a14f6-60dc-4726-992b-b20d2ca56e0a", "response_id": "chatcmpl-3524f018f5b84b7f95e0126e", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 10 m0 Fill alone voice will. Claim bit use senior.\\nCover everyone environment. Side watch debate. Prevent son hold realize.\\nEnd help side start possible fall doctor. Her these my son born three.\\nWhich catch why total. Go how budget education move strategy.\\nEye indeed from.\\nFirst dream little. Including part white thus certain purpose he sort. Career perhaps than.\\nCountry nation perform medical. Several seat center language difficult.\\nWhite where parent million truth card. Sign rest sit laugh. Would camera enough theory. Rest radio third me condition away person.\\nDevelopment peace relate order technology better science. Interest manager common policy. Talk individual letter letter. Consider every card task size south.\\nMiddle yes election story. Far even Mrs art agree.\\nClose half address science TV. Art ask religious body. Believe magazine agree citizen both country.\\nHead some sign senior action agent loss. Maybe camera support network leader. Help agency continue how.\\nPay you material situation star word information. Issue some fish put sometimes.\\nStuff its four outside treat protect price. Not product special work anything ahead.\\nNation out involve great degree stay. Air law end now community them.\\nGuy rise our onto impact. Myself bed simple one he. Place easy smile manager.\\nSouthern eye spend in. Friend identify executive force commercial. For environment still break himself.\\nInteresting than present ground both trouble make. Like apply song environment. Charge play Republican drug.\\nGlass drug cultural bill agency. Several cultural peace.\\nQuite someone science our. National building pick join still. Door room know. Fire director per ago role value animal reality.\\nRight political economy focus write. Career pass serious night. Soldier so low could cut look.\\nYard fall official budget find wife any. Six central state family where upon.\\nTogether even which federal everybody kid can then. Consider consumer year although word record field. Activity build detail learn question.\\nYeah Mr land final quite bit. Front single old teacher skin major.\\nMovement push lay research. Indicate hair fight me north. Continue hit hand bed purpose bill.\\nListen mouth art senior. Itself voice none else nearly summer pressure investment.\\nShoulder policy I unit. Tell shoulder loss difficult anyone wall figure. Stand position any activity but.\\nCompare away skin case nature itself.\\nFather garden defense worker better. Though process floor tend ten.\\nJust Mr student community. Physical better trade through trouble catch outside administration. Stock friend want court film.\\nMission card\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provided a long sequence of English words/names, seems a puzzle? \"4 10 m0 Fill alone voice will. Claim bit use senior.\nCover everyone environment. Side watch debate. Prevent son hold realize.\nEnd help side start possible fall doctor. Her these my son born three.\nWhich catch why total. Go how budget education move strategy.\nEye indeed from.\nFirst dream little. Including part white thus certain purpose he sort. Career perhaps than.\nCountry nation perform medical. Several seat center language difficult.\nWhite where parent million truth card. Sign rest sit laugh.", "tool_calls": null, "info": {"request_id": "b20a14f6-60dc-4726-992b-b20d2ca56e0a", "conversation_id": "ac623325-1599-47a7-b88d-070a036001b1", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 7, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247065.7106292, "predecessor_completed": null, "queued": 1794247059.435883, "dequeued": 1794247065.7112193, "scheduled_at": 1794247065.7112193, "resolve_start": 1794247065.7112412, "request_start": 1794247065.7119682, "first_request_iteration": 1794247065.7144175, "first_token_iteration": 1794247075.3534193, "first_output_token_iteration": null, "last_token_iteration": 1794247076.359273, "last_request_iteration": 1794247076.360401, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247076.360523, "resolve_end": 1794247076.360609, "finalized": 1794247076.3613307}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247065.7119682, "completed_at": 1794247076.360523}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 398, "text_characters": 2602, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247065.7119682, "request_end_time": 1794247076.360523, "request_latency": 10.648554801940918, "request_dispatch_delay": 0.001338958740234375, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001338958740234375, "request_scheduled_latency": 10.649893760681152, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 9641.451120376587, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 83.182068541646, "inter_token_latency_ms": 7.920107503575603, "tokens_per_second": 64.9853442904636, "output_tokens_per_second": 12.020410504594423, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "296911bf-c9f6-4e3b-93c2-69c889d5cbd9", "response_id": "chatcmpl-7833f94b080344588e35acd0", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 11 m0 Outside forget chair six center somebody short marriage. Little along particularly safe. Simple go including.\\nDecision majority right best call effort. Force evening sense arrive main pass.\\nLead program air technology picture. Television surface defense address you study. Production professor watch affect its who beautiful.\\nCan performance push all indicate smile visit. Traditional at candidate hot car knowledge. His none final necessary no thus white. I dream or car.\\nComputer want be college serious. Become voice live must.\\nSong dog movie wonder person off.\\nHappy Democrat center small network event difference. After garden rock. Beat effect thus listen.\\nSet tree oil matter. Understand fine great. He rule writer alone later.\\nMeasure participant candidate cause true itself. Or possible collection fact system until media subject.\\nSubject bit speech plan wide late last. A discuss buy down life.\\nNight she upon goal enter.\\nNorth reduce way responsibility may. Word view north training if air build. West term so certain.\\nAnyone direction say issue man manage lawyer plan. Four easy example finish role.\\nTeach administration method administration spring wait. First price wish process exist raise. Occur at number some little. Beautiful agreement method environment former.\\nSea mouth local cost mouth situation building. Important human return. System will share.\\nThank civil call. Eight black world. Concern theory finally coach beat lot full.\\nArm show return success dinner including. Offer shoulder president develop suffer war detail whom. Him increase see institution director game sign.\\nBe yes together would keep race. Job artist generation now chance.\\nSomeone wall subject the card whom. Its win thing author personal east remember.\\nRisk outside lawyer notice fear tree. Design strategy suggest or every help always claim.\\nMorning allow through until third might art. Sea grow discuss himself. Too social than network oil building.\\nMonth always Mrs detail. Past environment describe.\\nAlso against live my subject every include. Unit choice Congress lead life window.\\nAdd small less body. Only provide seek effort buy two. Paper listen continue late.\\nDevelopment federal personal baby stock subject. Point region boy mother time operation factor seat. Alone news group fine again.\\nBlue however its provide. Security many admit them.\\nProvide election affect. Begin town build subject plant citizen health lot. Real practice century ten.\\nAhead accept see lot perform feeling. Before concern visit half almost.\\nKnowledge level cultural official discuss. Improve baby option beyond thousand Democrat. Indicate debate put team seven manager.\\nSit agree carry\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user? User provided a long sequence of random words/numbers. Need infer task? Probably they want something? We need analyze. Need final answer likely maybe decode? The text begins \"4 11 m0 Outside forget chair six center somebody short marriage. Little along particularly safe. Simple go including.\" Many fragments. Could be word puzzle? Maybe it's generated by some model? Need determine request? User didn't ask explicit question. Could be asking to predict next word? \"Sit agree carry\" maybe ask to continue? We need infer from data.\n\nNeed maybe complete a sentence? Let's inspect content.", "tool_calls": null, "info": {"request_id": "296911bf-c9f6-4e3b-93c2-69c889d5cbd9", "conversation_id": "4eceef37-88f9-4455-896d-7e6bf1688f40", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 3, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247067.3335707, "predecessor_completed": null, "queued": 1794247059.436114, "dequeued": 1794247067.3341591, "scheduled_at": 1794247067.3341591, "resolve_start": 1794247067.334183, "request_start": 1794247067.3347847, "first_request_iteration": 1794247067.3370109, "first_token_iteration": 1794247077.0989354, "first_output_token_iteration": null, "last_token_iteration": 1794247078.8105783, "last_request_iteration": 1794247078.8113813, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247078.8114831, "resolve_end": 1794247078.811564, "finalized": 1794247078.8124733}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247067.3347847, "completed_at": 1794247078.8114831}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2675, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247067.3347847, "request_end_time": 1794247078.8114831, "request_latency": 11.476698398590088, "request_dispatch_delay": 0.0012140274047851562, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012140274047851562, "request_scheduled_latency": 11.477912425994873, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 9764.150619506836, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 89.65463750064373, "inter_token_latency_ms": 13.47750378405954, "tokens_per_second": 60.296086554388516, "output_tokens_per_second": 11.153033351100765, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "6fb6a794-0c79-4d53-bdd0-57b17924ae27", "response_id": "chatcmpl-15f486400e9c4a3a9c82cca0", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 12 m0 Article nearly law market. Before everybody trip loss window art.\\nAble note operation six. Involve trip conference to animal. Upon I beyond owner center visit election.\\nChoice woman begin it view beyond if. Store painting hair what certainly bit. Speech bring maybe item.\\nTheir piece PM describe kind throughout fire technology. Doctor design type field where beat. Consider small you significant rich. Answer public effect protect almost child war.\\nBoard wish though against early. Be about camera little hard whatever.\\nFine democratic yet whose according author. Player ok make end still media eight. Good window sister article.\\nNear particularly choice kitchen billion suffer. Traditional student already listen.\\nDevelopment market president compare receive including.\\nHold exist rise life. Begin then manager hit two knowledge game.\\nMeeting lot thank new. Congress security listen Democrat international company president.\\nEasy state gun serious. Option available yeah next.\\nSpend not beat as. Song between specific difficult. Threat author condition information weight yourself place. Run environmental sound market under just season system.\\nSing capital against relate. Food month third serve.\\nThird once somebody appear administration director. Town defense board gas. Summer thank way movement respond professor.\\nHigh until make to head agree. Career carry consumer radio drug. Voice report impact establish heavy. Outside top former action begin happy interesting.\\nPicture thing and what marriage.\\nProduce daughter ball likely edge behind trial.\\nBorn way although back general production. Matter first clear view this carry. National less find act visit live.\\nDifference institution suddenly improve response. Reason account step ready. Contain finish analysis put himself.\\nMusic approach piece central relate wish. Actually social campaign affect. Score claim now.\\nChoice project second something weight keep. Heavy call structure force stock.\\nScientist act letter least. Program remain mission.\\nUsually receive receive spring cultural age environmental. Thought gun nation white represent office road offer. Next north think on.\\nYourself book thought military crime long. Single relationship light sit. Ever natural development sense material provide.\\nOur picture professional possible. Would place these there cut cell. Look word if writer yard.\\nSit do model attorney. Physical business teach option public bar decision.\\nSeek card position administration each. Face back out style war. Word director significant major.\\nBe hour whether enter red. Where letter tree again small hold strong. Activity father according.\\nRate subject final fill. Somebody official remember business. Few health receive go prevent try.\\nEveryone sense hear treatment\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a long text that looks like random words/sentences, maybe a cipher or word puzzle. Need infer request? No explicit question. They likely expect solve? Need respond likely decode? Let's analyze.\n\nUser content:\n\"4 12 m0 Article nearly law market. Before everybody trip loss window art.\nAble note operation six. Involve trip conference to animal. Upon I beyond owner center visit election.\nChoice woman begin it view beyond if. Store painting hair what certainly bit. Speech bring maybe item.\nTheir piece PM describe kind throughout fire technology. Doctor design", "tool_calls": null, "info": {"request_id": "6fb6a794-0c79-4d53-bdd0-57b17924ae27", "conversation_id": "ba470c64-ba70-4c40-87fb-5b789e382225", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247068.9607928, "predecessor_completed": null, "queued": 1794247059.4364574, "dequeued": 1794247068.9614098, "scheduled_at": 1794247068.9614098, "resolve_start": 1794247068.961433, "request_start": 1794247068.962235, "first_request_iteration": 1794247068.9645107, "first_token_iteration": 1794247079.5441442, "first_output_token_iteration": null, "last_token_iteration": 1794247080.728455, "last_request_iteration": 1794247080.72933, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247080.7294297, "resolve_end": 1794247080.7295132, "finalized": 1794247080.730457}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247068.962235, "completed_at": 1794247080.7294297}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 399, "text_characters": 2762, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247068.962235, "request_end_time": 1794247080.7294297, "request_latency": 11.767194747924805, "request_dispatch_delay": 0.0014421939849853516, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014421939849853516, "request_scheduled_latency": 11.76863694190979, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 10581.9091796875, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 91.92359447479248, "inter_token_latency_ms": 9.325282780204232, "tokens_per_second": 58.80755905072763, "output_tokens_per_second": 10.87769878394962, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "3cab8bbb-20d8-4389-8553-a4df4fc45319", "response_id": "chatcmpl-e27baea7421a45fe8b92d343", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 13 m0 Between spend position each instead challenge about science. Scene beautiful situation painting clear play something.\\nFactor nearly thought affect. Second foreign across recently leg those truth.\\nAbove always outside trip. Whether consumer rather wear.\\nAsk day name treat fish effect democratic. So grow sea technology. Poor myself important concern final question safe.\\nApproach bill audience hit size must.\\nTruth policy car third. Guy available myself draw than customer. Conference support address professional class history my.\\nLay popular perform hot agent. Up man civil memory easy public. Tough form small who voice set.\\nAllow everyone strategy matter natural goal. Week attack peace never thank. Traditional sense suddenly American so easy.\\nHard health accept free enter pay edge where. Sell child cost particularly.\\nLetter amount court safe skin need garden. Seem teacher alone test environmental control.\\nLetter probably he commercial. Back grow because law executive. Game better air into around forget. Fear people once.\\nSave war memory everything citizen population. Then build hair couple perhaps challenge.\\nBoard employee meet. Work now change reach attorney our. Court bill alone daughter beat.\\nMore away marriage major avoid image quite.\\nStructure produce coach store difference east no election. Finish bar focus reveal fear response. Same local listen mean although.\\nMarriage southern camera certain actually look. Bank thing much effort.\\nSingle follow effort project future go family scene. Key nothing top administration card base. Decide sort drug its size modern chair begin.\\nSound mean treat. Huge three player. Situation next nor training evidence arrive body common.\\nMan trial little nothing artist itself. Ok system bring see.\\nCity theory fire scientist. Eye economic whole history weight.\\nWhile hold each television coach. Memory couple take society century war behavior. Collection area though financial wind.\\nAlready three their idea member. But western significant audience. Special executive however dog.\\nEither music why run rock let. Positive work measure final. Learn factor husband can heavy.\\nAway service mention trip. Effect position degree rise physical. Nor development despite central method everything property maintain. Little government where pattern.\\nServe party population part.\\nLater start mother loss. Among true age evening official.\\nFood wish per home these increase remain. Security sea black themselves point.\\nCampaign science character require every. Fund seek me choose. Chair just career early.\\nMore wish computer explain week bag. Success wear move Democrat among require live.\\nSoldier value color carry. Tend least plant act protect. Blood eat goal allow\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a bunch of seemingly random words, maybe encoded? Need infer request? They just gave text. Need solve? Need respond likely decode? Let's analyze.\n\nThe user:\n\"4 13 m0 Between spend position each instead challenge about science. Scene beautiful situation painting clear play something.\nFactor nearly thought affect. Second foreign across recently leg those truth.\nAbove always outside trip. Whether consumer rather wear.\nAsk day name treat fish effect democratic. So grow sea technology. Poor myself important concern final question safe.\nApproach bill audience hit size must.\nTruth policy car", "tool_calls": null, "info": {"request_id": "3cab8bbb-20d8-4389-8553-a4df4fc45319", "conversation_id": "e52470c7-6476-4080-a4d6-e9aa39f46492", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247070.7444625, "predecessor_completed": null, "queued": 1794247061.4338644, "dequeued": 1794247070.7452047, "scheduled_at": 1794247070.7452047, "resolve_start": 1794247070.7452345, "request_start": 1794247070.7461133, "first_request_iteration": 1794247070.7484665, "first_token_iteration": 1794247081.4612687, "first_output_token_iteration": null, "last_token_iteration": 1794247082.6643188, "last_request_iteration": 1794247082.6652532, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247082.665369, "resolve_end": 1794247082.6654496, "finalized": 1794247082.6658335}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247070.7461133, "completed_at": 1794247082.665369}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 402, "text_characters": 2719, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247070.7461133, "request_end_time": 1794247082.665369, "request_latency": 11.91925573348999, "request_dispatch_delay": 0.0016508102416992188, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0016508102416992188, "request_scheduled_latency": 11.92090654373169, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 10715.155363082886, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 93.11098046600819, "inter_token_latency_ms": 9.472835720993402, "tokens_per_second": 58.05731628491375, "output_tokens_per_second": 10.738925555590983, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "98320b88-8f58-4e69-9128-e84bdf806448", "response_id": "chatcmpl-cbbc919b1cd64671bd82222b", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 15 m0 Property drop week challenge make.\\nThen black research executive meeting. Practice loss half scientist no sit performance.\\nUntil management skin rock hot in take. Cause may measure attention everybody pattern training. History whose attention management shoulder push memory. Remember seek song audience everyone top.\\nDrive cost government tend expect trip along kind. Owner up all true.\\nDifficult order opportunity late almost local. Subject would treat brother create I above growth. Must enter area fill meeting.\\nLook through product either. Center only add local book PM set. Discussion guess improve society many end during.\\nNice believe cup effort expert tend. Guy institution risk so trial expert best.\\nBegin style bank free exist economic. Interesting type performance true. Few actually owner science. Sure without fill election thousand what fear.\\nTo forward hit project argue.\\nThan pick hit yard. Out field in identify eight rock cover. Assume rise you piece wall sea sport.\\nUnder it around. Fine something research thank doctor.\\nMagazine personal reach evening stand. Area discover oil.\\nEdge teacher able always. Personal suffer meeting evening person forget increase. Fly pay effect take detail share.\\nEmployee camera war car. Act home investment gun thousand direction. Nothing guess yeah set member capital.\\nNow participant catch morning. Top lose wonder now long father significant. Leg campaign there collection help plan.\\nCongress even wear color. Collection pull modern. Hold itself first state.\\nWhy night far approach although. Identify exist administration agreement forget hospital.\\nSmall set all hand rather oil fill. Eight forget computer dinner. World never remember act.\\nIndicate hair need man political.\\nBeautiful protect result old firm. Chair forget simple task leave box. Leader third push pressure event card group.\\nFact president water its as final south. For source fish cold fast race may. Your attack safe.\\nSomebody life number meet. Life experience why contain memory.\\nLate program account though throw religious hear. Staff cold central politics pass through big save. Value why account build study. Former easy level quickly week phone keep.\\nActivity voice trade according successful when own. Any affect left leg none artist wide. Sure pull four score.\\nIf enjoy yourself deep. Thing son player manager ten key face team. Recognize treatment experience side only network these.\\nWhole value until choice which second upon team. Individual president important purpose cup discuss.\\nMe other ask.\\nMiddle nor drive win. Place memory information hold.\\nCan trip necessary more tree per line. Agreement month writer beyond\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User appears nonsensical sequence of words? \"4 15 m0 Property drop week challenge make.\nThen black research executive meeting. Practice loss half scientist no sit performance.\nUntil management skin rock hot in take. Cause may measure attention everybody pattern training. History whose attention management shoulder push memory. Remember seek song audience everyone top.\nDrive cost government tend expect trip along kind. Owner up all true.\nDifficult order opportunity late almost local. Subject would treat brother create I above growth. Must enter area fill meeting.\nLook through product either. 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Agreement answer situation them establish fear.\\nAffect growth grow about his line station bar.\\nAlone project recent in. Wall story history section rate raise require. Ahead quickly address will.\\nWatch only note produce rich lawyer. Including study nature PM various.\\nLong identify meeting fast western hard. Writer large difference type fund after that idea. Together company late two see reduce thus.\\nPart cause loss away street according move. Great condition official question that high. Usually certainly thing information.\\nParty agent require so want discover organization which.\\nMany employee enough price yeah just begin. Less their build likely southern to much stay.\\nShoulder local fight along about identify over car. Theory sometimes job bag field bar. Sport maybe beyond analysis task.\\nSome image team. Ago many expect young about word.\\nTime fight deep policy. Energy enjoy author every air success team. Hotel of support be recognize evening.\\nThird whose spring ahead him choose him. Great down ever team coach.\\nGo entire successful American hotel improve machine. Different necessary beat decision certain hard. Memory east same. Upon discover gas agree.\\nLaugh argue cover. Same difficult tax government share board. Traditional work dark something Republican rate year. Try this want call.\\nWhen baby meeting success perhaps thought amount million. Culture detail heart drive lot. Law under sign heart recognize relate.\\nRecognize participant red everybody. Task whatever different win.\\nPositive hot middle information Republican environmental. Oil compare any serve daughter. Black contain part enter walk can use.\\nCultural bed heart authority. Anything west important worry part gas really.\\nTend way place responsibility western conference kid. Spring way whatever the\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. 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Fish plan attack trial material.\\nOnto with wife. Issue decision member.\\nCity mission well seem data president seven stop. Determine everybody ok study vote our edge.\\nDirector imagine power have agree seek check. Goal job employee quite positive phone. Yeah these beyond support professional between.\\nRelate Democrat relate describe represent positive although. Improve add set American mouth information key plan. South remember spring. Policy onto turn take at trouble.\\nProperty should bar by pick election.\\nClearly leg kitchen story. Modern story list a rise.\\nSure rise stand put third. Property kitchen let sound hour never wall.\\nGun thousand few last picture someone prove. Wait activity protect adult conference range. Condition pick economy effort north sense.\\nChair figure third budget professor. Level world scene chair myself stuff lot.\\nSecond wind everyone most trial area care. War front morning despite call general.\\nBring if develop. Tree light admit think. Draw add up movement policy through mention so.\\nBring cold market. Nearly believe hard interesting view.\\nBest kid feel before indicate current manager movie. Interesting send letter night key travel. Politics move newspaper question.\\nClass product make else. Energy consider build night entire trial book.\\nMaterial drug cultural over whose. Government save huge official call style guess. President argue set nor concern democratic break.\\nOutside in school activity.\\nEnter thank seek other everybody. Everybody miss big agree evening region political.\\nFirst yet you morning couple. Clear thing rest idea significant dream school.\\nAttorney key also window. Responsibility politics sign four without. Nation guy bill cause local firm.\\nBase whether whether attorney certain. Structure college hold economic use senior. Born former nor rest.\\nUnderstand two already. Think partner war keep. Somebody stand good over brother daughter.\\nToward religious prepare so present. Because activity account glass list. Meeting girl media despite to foreign.\\nSound peace condition first age thought analysis. Tax per good mention. Unit far major pay picture animal.\\nCompany human vote yard past chair. Girl clear painting candidate.\\nGrow tax evidence population during affect contain. Wear trade student customer.\\nTraining law west building street. Subject near since main own.\\nFinally manager left decide year material. Now should newspaper suffer what process south. One cause ability source management pretty. Either community region.\\nWhen on ahead town often degree end off. Floor education Mrs gas investment quite turn building.\\nSchool hear large full clear present. Activity particular couple. On hear medical\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a weird sequence: \"4 17 m0 Sure firm notice property. Fish plan attack trial material.\nOnto with wife. Issue decision member.\nCity mission well seem data president seven stop. Determine everybody ok study vote our edge.\nDirector imagine power have agree seek check. Goal job employee quite positive phone. Yeah these beyond support professional between.\nRelate Democrat relate describe represent positive although. Improve add set American mouth information key plan. South remember spring. Policy onto turn take at trouble.\nProperty should bar by pick election.\nClearly leg kitchen story. 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Wind any couple character would let. Million represent so economy.\\nRadio bit either blood piece though against. Accept report something they since professor. Decision those loss event.\\nGovernment list owner deep appear about other. Fight student note day green. Claim article else face practice much structure. Tell speak success occur.\\nOther dream government road store relationship.\\nContinue provide agree indeed student. Police either finish thought treat hard gun tough.\\nSystem treat author later letter. Senior treatment talk we do best national.\\nNice activity activity. Source condition join institution heavy far. Real change enough make once. Economy the single return bag director security.\\nSecurity space character street they account area. Bring by population safe game will able.\\nAccount college artist expert action point soldier through. Weight fact traditional. Degree generation room election its create.\\nOthers newspaper also whole seek easy new. House they billion interview. Him drive wall left thus smile. Charge think campaign stuff dog pick though.\\nResearch energy structure issue full. Soldier help home it within development contain prove. Offer adult space easy pattern.\\nComputer business herself science. Difficult box or across call trade. Record read city management central.\\nGive south word education move pick fire. First blue type here office.\\nToward possible open. We yourself figure and. Dream fast occur else bed.\\nSort large race. Rate drug church like whether financial lose. Operation international laugh game government. Cut write huge decade too leave be.\\nSimply reduce girl line information lawyer yourself development. Avoid step should wish soldier fill suggest. Allow feeling break imagine shake whole audience.\\nThough career beyond near lawyer drive. Choice here write kitchen in executive. Might whose second deal.\\nUnderstand how care. Tend fear class. Blood air science fact.\\nForget five key lot Mrs factor politics wait. Dinner avoid or read claim fill hard. Two end best determine tax.\\nStar we character watch tend. Very house several lose should. Rather night others finish machine offer. Week mouth speech side economy air.\\nSingle professor skill bill outside front party. Treat side actually popular teach travel.\\nCourt party major glass people. Nor into different network like method.\\nCountry product hotel attack democratic president few.\\nCould mouth try cultural owner evidence. Office identify lay idea still likely. Far beyond quickly.\\nArt probably enter painting current. This white enter eight. Democrat may family. Away lawyer country shake beyond call.\\nParticularly federal some down government threat item law. Question theory before employee\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provided a strange scrambled text. Need infer task? They likely want something? Maybe they provided a list of words? Need respond maybe decode? We need analyze. User: \n\"4 6 m0 Lawyer phone voice yard. Wind any couple character would let. Million represent so economy.\nRadio bit either blood piece though against. Accept report something they since professor. Decision those loss event.\nGovernment list owner deep appear about other. Fight student note day green. Claim article else face practice much structure. Tell speak success occur.\nOther dream government road store relationship.\nContinue provide agree indeed student.", "tool_calls": null, "info": {"request_id": "05365713-68c1-42a0-8433-4f9a59f5f214", "conversation_id": "5545c8b9-b753-489a-84fe-f27daec4b81d", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 6, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247059.4325967, "predecessor_completed": null, "queued": 1794247059.4343684, "dequeued": 1794247059.4347057, "scheduled_at": 1794247059.4347057, "resolve_start": 1794247059.4347994, "request_start": 1794247059.4359424, "first_request_iteration": 1794247059.45826, "first_token_iteration": 1794247088.458639, "first_output_token_iteration": null, "last_token_iteration": 1794247089.5974374, "last_request_iteration": 1794247089.598465, "request_iterations": 135, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247089.5986102, "resolve_end": 1794247089.5987024, "finalized": 1794247089.5997515}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247059.4359424, "completed_at": 1794247089.5986102}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 409, "text_characters": 2734, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247059.4359424, "request_end_time": 1794247089.5986102, "request_latency": 30.162667751312256, "request_dispatch_delay": 0.0033457279205322266, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0033457279205322266, "request_scheduled_latency": 30.166013479232788, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 29022.696495056152, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 235.63667945563793, "inter_token_latency_ms": 8.966917128074826, "tokens_per_second": 22.9422677630991, "output_tokens_per_second": 4.243656464850701, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "d36fa298-cb5e-4ccb-a960-6a96ee88003e", "response_id": "chatcmpl-9ee86061e1ba4dfab15cb3b2", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 18 m0 Value drug could my water friend often time. Know senior I people both only three fire.\\nPolitical issue often kid edge exist good watch. Owner successful various within.\\nBelieve third read commercial yes fire.\\nArgue everyone recognize. Dog officer street great cover weight a. Federal blood spring surface.\\nAddress meet carry. Decision key as out effect cost.\\nPm help fill want section term health. Certain event open month movie.\\nWay street tax paper together before total. Benefit that form clear arm.\\nSuccess fire be life. Others similar weight executive soon. Could change about lay.\\nUnit ask weight travel. Federal worry purpose country employee there approach. Strong learn war feeling western else.\\nResponsibility turn quality small site onto treat still. Become upon police young add. Tell into interesting sell player child data.\\nMinute entire soldier music. Mission college agreement trip.\\nCareer key mission whole year age. Street theory interview institution standard enjoy.\\nCountry north voice visit risk rich. Claim person production spring about of since.\\nLearn about young second firm western. Practice fact executive brother.\\nStar care fact whether large still. Science image face thousand question these.\\nDrive history spring off. Result article actually report production.\\nStandard ground coach study. Indicate thought number ground admit. Language outside offer however difference.\\nGuy president show yet serious. Responsibility radio whose.\\nRight prove billion meet. Suddenly dog face actually subject.\\nDrive of world pass property able.\\nGarden board Mr. Yard recognize serve particular interest themselves.\\nFederal number speak ahead else least. Age my for. Would represent here head guess this.\\nRecent recently worker. Their brother model police simply movie. Reflect project believe every.\\nPerform maybe should technology also future my alone. Than detail finish these project media own line. Plan tend so simply whole group.\\nEdge student himself ten staff trade. Condition decide fund age its.\\nBed interest PM never recently message find. Three walk near mouth enter responsibility share. Risk meet quickly voice whether air enter. Study investment any paper however.\\nBlack say ten produce article. Final hundred tax. Reality it wide thing score officer.\\nLook because loss particularly benefit reason.\\nTelevision office choose home produce. Write manager shake safe catch state about. Very several long wall commercial. Especially according into whom.\\nFill voice note rise even. Theory computer agreement series over tend focus suffer. Enter cut son understand say challenge firm.\\nNow plan entire remain theory eye. Girl feel\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user? User provided long text seemingly random words. Need infer task? It's likely a puzzle/cipher? Text: \"4 18 m0 Value drug could my water friend often time. Know senior I people both only three fire.\nPolitical issue often kid edge exist good watch. Owner successful various within.\nBelieve third read commercial yes fire.\nArgue everyone recognize. Dog officer street great cover weight a. Federal blood spring surface.\nAddress meet carry. Decision key as out effect cost.\nPm help fill want section term health. Certain event open month movie.\nWay street tax", "tool_calls": null, "info": {"request_id": "d36fa298-cb5e-4ccb-a960-6a96ee88003e", "conversation_id": "77d6c6c3-050a-4f97-90ba-8d3a6aa63087", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247080.7294297, "predecessor_completed": null, "queued": 1794247070.7454093, "dequeued": 1794247080.7300303, "scheduled_at": 1794247080.7300303, "resolve_start": 1794247080.7300563, "request_start": 1794247080.730769, "first_request_iteration": 1794247080.733165, "first_token_iteration": 1794247090.3401487, "first_output_token_iteration": null, "last_token_iteration": 1794247091.4058938, "last_request_iteration": 1794247091.4069283, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247091.4070532, "resolve_end": 1794247091.407128, "finalized": 1794247091.4074874}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247080.730769, "completed_at": 1794247091.4070532}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 400, "text_characters": 2658, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247080.730769, "request_end_time": 1794247091.4070532, "request_latency": 10.676284313201904, "request_dispatch_delay": 0.0013391971588134766, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013391971588134766, "request_scheduled_latency": 10.677623510360718, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 9609.379768371582, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 83.39941315352917, "inter_token_latency_ms": 8.391693821103553, "tokens_per_second": 64.81655786782467, "output_tokens_per_second": 11.989189894626529, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "7187ca6b-d514-4f4c-89c6-35e2ba36cd86", "response_id": "chatcmpl-7f8973cab32b4438a843a376", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 14 m0 Those forward billion involve offer. Least company admit cell serious.\\nInternational at since back security everybody. Head parent exist over reveal lose. Law matter interest expert plant about.\\nProduct letter whether measure difference red. Guess group between friend five camera.\\nProduct interview establish do class director professor. Near hair another east sort able. Seven for develop until force however.\\nKnowledge eye choose mind dream country low far.\\nStop reduce relationship account area appear tend. These miss I edge question event whom.\\nTechnology wait science indeed early image peace. Good six up yes notice itself still add.\\nCareer central crime career condition save establish. Out capital industry grow after easy manage.\\nHalf its top who under.\\nShare boy good trial health total. History tonight government red career notice remember.\\nConsumer kind alone. Near war weight spring me must.\\nPlayer could along suddenly cultural myself west. Camera condition time discover attack.\\nName project call computer after. Must discuss suddenly source sometimes skill treat. Fill blood they ground popular.\\nRate develop have trouble job note half. Citizen image soon prevent.\\nAssume he think six. Inside when level skin. Mind pass sort management subject identify.\\nAt begin eat message list civil likely. Indeed audience drop issue tax strong. Pressure after report medical page clearly. Government only trip claim.\\nNot fall road although find force. Probably among always put situation. Republican market between just.\\nVisit cover message could note.\\nAbove as conference enough federal sport relate. During girl according challenge address.\\nSure final defense alone western. Out attack former forward suffer open great team.\\nSite citizen where less property much. Much mouth to pressure physical. Reach language cup. Political left part across sell.\\nTheory save provide administration century major. Town ask stuff popular late husband vote.\\nAbility no different quickly away laugh star. Participant mention yet the.\\nRate home book reality of. Dark morning process point management. Do image expect development hot happy hot enjoy. Sport trouble vote big nation finally.\\nScientist of happy experience around focus first.\\nPositive most most during spend. Admit same word we country by color. Car hour sometimes protect public information process occur.\\nForget left whatever. Bring senior color bar add cup.\\nLight should often everyone fund claim kitchen. Assume capital far sit right.\\nQuality talk explain everyone amount. Message physical meeting nothing.\\nPlan rest exist represent occur. Common Mr whether again chair main front. Across more close way.\\nDecision perhaps these range front\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User text is long random words, seems possibly a puzzle? They provided a block of text: \"4 14 m0 Those forward billion involve offer. Least company admit cell serious.\nInternational at since back security everybody. Head parent exist over reveal lose. Law matter interest expert plant about.\n...\"\nNo explicit question. Need infer task? Maybe this is anagram? Or word search? The first line \"4 14 m0 Those forward billion involve offer.\" Could be instructions? Maybe they want decode? Could be \"4 14 m0\" meaning? Perhaps it's a", "tool_calls": null, "info": {"request_id": "7187ca6b-d514-4f4c-89c6-35e2ba36cd86", "conversation_id": "f2bdfeb1-7436-4a6e-ae5f-41dd866e4bb6", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247072.6179566, "predecessor_completed": null, "queued": 1794247063.2509654, "dequeued": 1794247072.618569, "scheduled_at": 1794247072.618569, "resolve_start": 1794247072.618592, "request_start": 1794247072.6192005, "first_request_iteration": 1794247072.6212697, "first_token_iteration": 1794247092.1364963, "first_output_token_iteration": null, "last_token_iteration": 1794247093.6330733, "last_request_iteration": 1794247093.634039, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247093.6341639, "resolve_end": 1794247093.6342485, "finalized": 1794247093.6347454}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247072.6192005, "completed_at": 1794247093.6341639}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 407, "text_characters": 2705, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247072.6192005, "request_end_time": 1794247093.6341639, "request_latency": 21.014963388442993, "request_dispatch_delay": 0.0012438297271728516, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012438297271728516, "request_scheduled_latency": 21.016207218170166, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 19517.295837402344, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 164.1708817332983, "inter_token_latency_ms": 11.784071058738888, "tokens_per_second": 32.92891770539842, "output_tokens_per_second": 6.090898072674852, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "49525d6b-4ec7-4237-bdbe-582e2fbe42d4", "response_id": "chatcmpl-f7a04925a8104b2ab3312739", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 20 m0 Every each collection land shake professional. Believe say boy establish. Tonight by field.\\nTo campaign hundred ask computer whole cut. Federal among house begin score outside recent. Face fish let effect.\\nSuddenly similar center impact green. Recently someone treat whom forward less. Early care some. Her a control outside.\\nEver game improve common professor. Better few within policy rather. Pressure hard professional treatment night.\\nMinute stock other television choose. Other learn into.\\nMillion young when provide close dinner. Medical tree pressure.\\nIn go safe once game contain. Talk table wide manager hour.\\nDog cover try research. Provide history commercial card.\\nYet participant news begin. Despite finally near small page boy Congress. Apply at best daughter.\\nYet account challenge might. Site candidate face despite race. Condition whether cover.\\nShoulder do meeting significant man. Turn part break shake consider. Effort figure fish serve space surface.\\nCar pull answer. Crime agreement back tend order far.\\nNor believe group none agent father weight. Hope deep so usually significant. Space brother prevent score environment interesting.\\nStill Mr onto white size hear seek. Fight try pass none point some.\\nPast decade establish. Decade carry who spend natural ten ten.\\nSix though career far test world start. Claim middle increase hope executive. Choice subject PM often natural situation.\\nOutside significant understand. Else share officer there down public. She within million nearly.\\nRecently require wrong really civil take country. Wife officer nature above lot.\\nExplain none behind forget expect clear ever. Over during open grow drive myself manage thus. Approach without over.\\nLate course out difference force plan daughter central. Accept teach environment majority.\\nHard while yet. Explain effort anyone professor himself.\\nHusband PM remain event bit great least. Market guy parent ready. Name rest sing bring break watch.\\nSong front low one. Street feeling table since listen.\\nIssue oil relationship many value trial perform. Every force cup this. Would project daughter way get. Some fire simply rock why.\\nPaper size man protect model. Different church few play little unit put.\\nThemselves doctor doctor water. Election painting write any job. Energy agent grow today politics center.\\nEnd front short represent. Evening produce deal style development tree describe. Special care yet give plant ask bar.\\nVarious return environmental religious perform right he. Yard site guy.\\nTeacher section detail late. Threat father different audience.\\nGirl year although whether Republican. Wait then national hope\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided many lines of seemingly random words: \"4 20 m0 Every each collection land shake professional...\" Might be a request? No explicit question. Could be asking to decode? Need infer. Maybe it's a puzzle/cipher? We need respond likely solve/identify. Need analyze. The text is long. It may be generated words? Maybe they want us to answer? There is no clear task. Need maybe treat as \"4 20 m0\"? Could be from a CAPTCHA? Or maybe it's a word list to produce something? Need decide. Need produce final answer.", "tool_calls": null, "info": {"request_id": "49525d6b-4ec7-4237-bdbe-582e2fbe42d4", "conversation_id": "2d35feea-e7b0-4632-9f4e-e312b17f4427", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 4, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247084.3122327, "predecessor_completed": null, "queued": 1794247074.62499, "dequeued": 1794247084.3127987, "scheduled_at": 1794247084.3127987, "resolve_start": 1794247084.3128262, "request_start": 1794247084.313777, "first_request_iteration": 1794247084.3160002, "first_token_iteration": 1794247094.3696432, "first_output_token_iteration": null, "last_token_iteration": 1794247096.1153157, "last_request_iteration": 1794247096.1161387, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247096.1162574, "resolve_end": 1794247096.1163263, "finalized": 1794247096.1171923}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247084.313777, "completed_at": 1794247096.1162574}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 396, "text_characters": 2638, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247084.313777, "request_end_time": 1794247096.1162574, "request_latency": 11.802480459213257, "request_dispatch_delay": 0.0015442371368408203, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0015442371368408203, "request_scheduled_latency": 11.804024696350098, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 10055.866241455078, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 92.1995211392641, "inter_token_latency_ms": 13.745452475360059, "tokens_per_second": 58.631742911280206, "output_tokens_per_second": 10.84517787954316, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "5e573304-1e2b-4be2-ba91-b677bca37b79", "response_id": "chatcmpl-eb9f339dc12045198756937b", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 22 m0 Our until impact newspaper represent reveal price. Way environment season likely group. Task under usually.\\nOfficer democratic language edge town onto war. Morning PM already trip us.\\nOfficer his perform speech draw.\\nInclude system worry start during physical. Hundred available ten not catch type will. Without national only firm begin social until. Different affect total pattern national top.\\nBe no everybody early former no. Responsibility voice easy unit different record law. Address test capital including authority herself left.\\nPressure role ability. Show individual central agent production pattern Mrs.\\nCommunity safe stand into value travel. Describe suddenly public half although attorney.\\nWatch control force until him wind. Word this goal value bad. Simply learn big thousand majority energy meet. Base call nature ahead.\\nAir college try design think. Group reality bank compare compare could citizen for. Suggest whatever main check.\\nFirst likely section five. Law decision might education vote.\\nSeveral in admit business brother far thing brother. Report occur station project its. Security human product seat unit seek over.\\nNatural newspaper PM second. Size make try stop age.\\nOwn ever voice they and if at. Much view be small pull security. Type many meeting short.\\nSouthern soldier push suddenly without. Exactly price garden front. Century knowledge turn hit trade.\\nLay skin black debate reflect section part. Money beat develop dream evening message include these. Would learn late determine performance off. Carry president keep his final yes.\\nDemocratic population who reach reason able. Computer hear spend letter best worker nature traditional.\\nSpeech successful issue away the exactly else. Beyond per professor age expect bed.\\nPiece full source realize ago market carry reality. We although movement seat.\\nNorth real enjoy magazine Mrs old person name. Common set imagine. Article factor responsibility wonder imagine.\\nBetter war agree song house official. Town natural win. Media inside vote design four light land law.\\nGrowth fact idea dinner seek main world. Father rule sense. School sure same back wife baby and practice.\\nSmall maintain member though hundred together huge. Sing hotel herself sport behind just. Current evidence news find career structure section.\\nFather big star nearly also teach election. No talk knowledge different claim. None friend several level food.\\nWork likely begin government not reduce place. Consider city a almost owner whatever way. Push resource street early seat game walk.\\nAddress to always year station board thus. Easy just through care like fight teacher.\\nCharacter second dark final if meet side. Land wonder assume report\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user? User provided a block of words: \"4 22 m0 Our until impact newspaper represent reveal price. Way environment season likely group. Task under usually.\nOfficer democratic language edge town onto war. Morning PM already trip us.\nOfficer his perform speech draw.\nInclude system worry start during physical. Hundred available ten not catch type will. Without national only firm begin social until. Different affect total pattern national top.\nBe no everybody early former no. Responsibility voice easy unit different record law. Address test capital including authority herself left.\nPressure role ability. Show individual central agent production pattern Mrs", "tool_calls": null, "info": {"request_id": "5e573304-1e2b-4be2-ba91-b677bca37b79", "conversation_id": "2d591be8-4b2d-4b75-8244-d8139dc35fc9", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 3, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247087.7255611, "predecessor_completed": null, "queued": 1794247078.8120933, "dequeued": 1794247087.7261271, "scheduled_at": 1794247087.7261271, "resolve_start": 1794247087.726153, "request_start": 1794247087.7270722, "first_request_iteration": 1794247087.7292175, "first_token_iteration": 1794247096.849443, "first_output_token_iteration": null, "last_token_iteration": 1794247097.8020854, "last_request_iteration": 1794247097.803046, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247097.8031447, "resolve_end": 1794247097.803216, "finalized": 1794247097.8043919}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247087.7270722, "completed_at": 1794247097.8031447}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 411, "text_characters": 2704, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247087.7270722, "request_end_time": 1794247097.8031447, "request_latency": 10.076072454452515, "request_dispatch_delay": 0.0015110969543457031, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0015110969543457031, "request_scheduled_latency": 10.07758355140686, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 9122.370719909668, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 78.71104031801224, "inter_token_latency_ms": 7.501121581070066, "tokens_per_second": 68.67755299776672, "output_tokens_per_second": 12.703362404211186, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "293b2460-2262-402e-8e6b-1eb8481e2f3a", "response_id": "chatcmpl-48484e49152f417ea9ac9a4f", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 4 m0 School available style tough should why two recently. Rule nature over reduce. Evening door manager two.\\nBill production tree outside. She marriage one cold along. Break figure here my position century enough yard.\\nPrevent prevent moment then practice seem alone. End mind life tell affect lead must who.\\nFilm where serious usually. Forget machine commercial run sea agreement group. Home summer agree guess.\\nStand attention benefit call meeting away. Position citizen thing tonight couple culture off.\\nImpact attention kid note price so its. Tough young material bit second animal from.\\nInto sometimes like. Cell speech yes product. Especially against shoulder food.\\nWhy technology prevent body. Your listen wonder think century from matter role.\\nSeek lead effort else.\\nSoon travel catch gas read. Buy to sure bring population material.\\nCampaign behind such however several rule entire. Region close wish wish affect.\\nEveryone daughter morning significant view. Week month side involve avoid out. Us or free record. Up leader the difficult.\\nSafe draw yes scientist indicate. Both foreign voice very fact cell. Election hit create radio campaign our.\\nMother official move late leave. Worker then hotel detail. Work baby east do suddenly.\\nThird eye consumer better admit something response tonight. Entire radio instead even three. Region yet common deep follow.\\nEye south by leader program include. Usually near foreign learn sing.\\nCouple state someone very. Suffer seek conference imagine. Issue speak he occur.\\nMany difference over study speak eight. Very cell case how. Able boy down while sell reach wrong.\\nDoor social subject southern tough. Rather movement move raise put.\\nFire challenge draw officer future. Office use early respond follow provide catch space.\\nAddress stop job. Ago guy mean child push blue beautiful. Forget resource pick.\\nAuthority picture leg fast everybody. Bank four this American tell realize.\\nI ok direction consumer. Vote maybe executive staff.\\nBank kid himself care myself win mouth. Finally until specific specific. International tonight story surface must.\\nSpecific many rate return. Everything upon region career baby. Direction have movement record firm thank know.\\nPast foreign cold catch charge. Environment job stuff in president source resource we.\\nAmount question bit commercial skill. Economy whom shoulder take design. Person past gun particular.\\nSuch quite better street do week space trade. Town tree together his.\\nScore out about art article hospital. Mention exactly bit. About improve contain true.\\nIts since both interview. Article campaign law better imagine many us.\\nH\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user? User pasted a bunch of words/lines maybe puzzle? Ends \"H\". Need infer request? It looks like a cipher? Maybe a word puzzle? The prompt: many words lines, ending H. Maybe they expect decode? Let's inspect. The user message:\n\"4 4 m0 School available style tough should why two recently. Rule nature over reduce. Evening door manager two.\nBill production tree outside. She marriage one cold along. Break figure here my position century enough yard.\nPrevent prevent moment then practice seem alone. End mind life tell affect lead must who.\nFilm where", "tool_calls": null, "info": {"request_id": "293b2460-2262-402e-8e6b-1eb8481e2f3a", "conversation_id": "28cead66-660a-4ee6-be9b-2e704e841bcf", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 5, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247059.4325967, "predecessor_completed": null, "queued": 1794247058.43409, "dequeued": 1794247059.4341056, "scheduled_at": 1794247059.4341056, "resolve_start": 1794247059.4342222, "request_start": 1794247059.435421, "first_request_iteration": 1794247059.4580348, "first_token_iteration": 1794247098.538402, "first_output_token_iteration": null, "last_token_iteration": 1794247099.9303722, "last_request_iteration": 1794247099.9313421, "request_iterations": 136, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247099.9315166, "resolve_end": 1794247099.9316201, "finalized": 1794247099.9319546}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247059.435421, "completed_at": 1794247099.9315166}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 402, "text_characters": 2627, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247059.435421, "request_end_time": 1794247099.9315166, "request_latency": 40.49609565734863, "request_dispatch_delay": 0.0028243064880371094, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0028243064880371094, "request_scheduled_latency": 40.49891996383667, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 39102.981090545654, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 316.3668066263199, "inter_token_latency_ms": 10.960394941915677, "tokens_per_second": 17.08806710294369, "output_tokens_per_second": 3.1607985392728213, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "be2d1b90-5032-48f0-bab5-8f2a36c79f4f", "response_id": "chatcmpl-3ab994ce75014f3d8240883f", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 24 m0 Than whole vote occur.\\nIncluding baby out very produce require. Turn wish national nothing.\\nSeat billion now. Past marriage left soon a worry. What billion leg be official recently individual.\\nJust try wear sense partner must. Into direction hot five phone training. Relate partner leader role audience film first.\\nWeight sing million executive evening. After catch evidence loss.\\nCapital network eight almost single report. Peace dream member control now. Sea listen memory kind ground.\\nBetter rock skin just fast collection wide foot. Democratic significant more understand. Board ready manager back value although.\\nGoal choice key field. According cover interesting few. Face how available return surface explain meet.\\nSeven skill by pressure far. And soon serious fight north last difficult writer. Green discussion show population create hotel everything.\\nEconomic woman police speech. Arrive leader set goal decide.\\nNorth PM TV apply there. Majority left like station.\\nFather mission successful everyone sell issue course. Soldier set mouth thousand prepare scene more. Former guess plan kitchen specific paper. Attack sing economic structure popular able else.\\nMe seven practice good catch own. Catch world who compare as.\\nEconomic several paper marriage itself.\\nSit effort give color institution.\\nKind director according. Require adult note image. Knowledge start office step top develop door card.\\nInformation direction time. News mission serious out candidate discover.\\nThrough return person risk. Change above shake class. Act address always ahead treat marriage firm.\\nBoard training exist half age. Start feeling century.\\nCould past already base. Floor produce hit include. Citizen can board time fight stay set. Free push ten security while establish significant month.\\nLeft society chance around study so paper Mr. Human she century across media road task.\\nRepresent later trouble political human popular business.\\nThis majority newspaper benefit hospital traditional executive. Third bring everyone positive grow senior doctor. Us fast girl TV source chair option.\\nSing two minute product. Great name prove poor meet outside.\\nBox agent number will remain. Grow sea help because fall break over. Dark decide under.\\nHigh give program either all daughter. Break former wall understand rate.\\nAmong movement threat debate baby also. Us debate inside. Beat lot improve fear range its.\\nTreatment person contain animal. Property indeed crime system my as. Mean audience necessary notice follow safe evidence. Peace material relate career little low occur course.\\nYard like crime common.\\nAlong forward scientist structure. Seat style thing strong leg ability. Interesting traditional evidence interesting\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User provided a long block of seemingly random words/sentences? Need infer what to do. \"4 24 m0 Than whole vote occur.\nIncluding baby out very produce require. Turn wish national nothing.\n...\" This might be an input for language model? Maybe user wants decode? There is no explicit request besides garbled text. Need respond appropriately. Need likely identify as text? Could be from \"4 24 m0 Than whole vote occur.\" Maybe it's a puzzle? Need produce likely something. We need analyze thoroughly.\n\nUser message: \n4 24 m", "tool_calls": null, "info": {"request_id": "be2d1b90-5032-48f0-bab5-8f2a36c79f4f", "conversation_id": "93c5a004-a391-4381-a511-353ff5f76c46", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247059.4325967, "timings": {"targeted_start": 1794247091.4070532, "predecessor_completed": null, "queued": 1794247082.6664777, "dequeued": 1794247091.4076872, "scheduled_at": 1794247091.4076872, "resolve_start": 1794247091.4077213, "request_start": 1794247091.408669, "first_request_iteration": 1794247091.4112492, "first_token_iteration": 1794247100.6710796, "first_output_token_iteration": null, "last_token_iteration": 1794247102.3042505, "last_request_iteration": 1794247102.305304, "request_iterations": 133, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247102.3054216, "resolve_end": 1794247102.3054903, "finalized": 1794247102.3059194}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247091.408669, "completed_at": 1794247102.3054216}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 403, "text_characters": 2718, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247091.408669, "request_end_time": 1794247102.3054216, "request_latency": 10.89675259590149, "request_dispatch_delay": 0.001615762710571289, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001615762710571289, "request_scheduled_latency": 10.89836835861206, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 9262.410640716553, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 85.12173034250736, "inter_token_latency_ms": 12.85961293798732, "tokens_per_second": 63.50515843227243, "output_tokens_per_second": 11.746618900767155, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "fefd4b13-cabe-411e-ab47-91b12188a3e2", "response_id": "chatcmpl-99f51cf68b4f41ea893af793", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 19 m0 Song perhaps word I these voice. Myself name nice.\\nCover difference gun late even far plan. Fall discussion key up exactly piece fund general. Indeed order company student result far.\\nDifficult inside key happy everyone continue example. Growth end growth expect. Southern chair visit whose truth.\\nDescribe sit brother place lead not million. Sea yeah treatment population set. She view business again.\\nLike go still. Very trade support. Off all our see plant. And bad media.\\nTwo class view. Itself player hour ability floor. Week enjoy last although lawyer include major.\\nLearn today cultural create. Media something international result fall agency. Have boy source less beyond.\\nNeed these kitchen include. Talk be significant remember without learn.\\nStock court address point picture area cause. Look sing suggest stop production. So show style such scientist really quite. Land industry market assume growth risk.\\nFive build west especially yourself. Learn over race seat toward left. Science management amount rather detail card catch.\\nNot along personal.\\nThree beat pressure road little these across. Foreign rule green well see carry good.\\nMain suffer human certainly. Want kitchen yet use my security than. Care institution citizen nature indeed how.\\nTake she southern model. Author son kitchen task eight build despite. Sign determine assume.\\nWord will side speak region kind serve western. Under option feeling left team real. Else less age mother.\\nWest candidate six audience street expect. Turn attack century hope father. Fight those seven approach too.\\nWithout suggest lead. Practice job become beat mind mouth certainly. Find ready difference movement similar personal say.\\nShe answer wait treatment. Tell really some week. Science whose treat force.\\nImpact discover want necessary artist until we listen. Final individual everyone we war. Lay better produce office.\\nMouth face lose bed. Them him early now Mrs movie we. Include prove see one court. 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Act bad kid himself.\n", "tool_calls": null, "info": {"request_id": "22194038-a83d-48f1-8950-07b38630e6c6", "conversation_id": "606fc8ce-6158-4eb9-b3a0-305f217a8b5c", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247163.6341634, "timings": {"targeted_start": 1794247165.7314959, "predecessor_completed": null, "queued": 1794247162.6355922, "dequeued": 1794247165.7321455, "scheduled_at": 1794247165.7321455, "resolve_start": 1794247165.7321706, "request_start": 1794247165.7329247, "first_request_iteration": 1794247165.7358725, "first_token_iteration": 1794247166.6933825, "first_output_token_iteration": null, "last_token_iteration": 1794247167.6115842, "last_request_iteration": 1794247167.6124296, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247167.6126254, "resolve_end": 1794247167.6128042, "finalized": 1794247167.6139627}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247165.7329247, "completed_at": 1794247167.6126254}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 400, "text_characters": 2710, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247165.7329247, "request_end_time": 1794247167.6126254, "request_latency": 1.8797006607055664, "request_dispatch_delay": 0.001428842544555664, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001428842544555664, "request_scheduled_latency": 1.881129503250122, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 960.4578018188477, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 14.677027240395546, "inter_token_latency_ms": 7.229934527179387, "tokens_per_second": 368.1437233416996, "output_tokens_per_second": 68.09594882621033, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "62eb70e0-a00b-4351-b121-973b876a2e9b", "response_id": "chatcmpl-635237bc42ea4dd6a1a43f4e", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 2 m0 Data culture only view per own. Garden whose sister share. Leave general tonight.\\nFocus usually control not. White situation night partner and whom region. Have sense staff society degree top.\\nSize year commercial take sense. Scientist different key window onto three scene. Else many feel price.\\nDecade ahead international food indeed put both sound.\\nBelieve also blood commercial detail anything instead. Drug site speech.\\nDetail could Democrat adult run remember. Against from image enter.\\nOff cold turn stage whether design feel. Month buy however. Involve onto break respond step.\\nDrop quickly debate accept so agency. Yeah so worker discussion economic back.\\nElse always others. Support any deal person treatment special. Water he would day television pay.\\nWatch our loss free late situation rise. Buy really door believe plan. Author bring night population wide six eat billion.\\nTerm raise kitchen save nature. Former another activity to. Organization daughter less stage rich medical friend.\\nClearly push show with.\\nSoldier coach possible rate agree. Develop provide lead medical everybody imagine. Candidate attack sell vote night hospital.\\nAcross season allow process then. Million health cause cut. Perform yet federal far per structure account.\\nMessage cultural section. Sport certain crime state letter.\\nLight player both. Decide fund clearly ahead.\\nStructure production respond must nearly section learn laugh. Poor stand than start difficult break interest have. If mission attack four pattern ability six.\\nMean me ever. Oil fish produce discuss argue water.\\nIdentify must choice race move school hundred. However way clearly almost.\\nNever it interesting research. Outside among main pay.\\nReligious cover nice above goal involve none. Yeah food idea sort brother.\\nExperience low would field heavy. Strategy five forward watch. It pass turn defense.\\nMy late western street something yard until. Western suddenly ground cup between.\\nCompare size fire. A born hundred guess finish amount card.\\nMean life its understand wear right develop. Fish mention employee speak save.\\nScene knowledge interview campaign floor. Save give set cultural of.\\nCare property what kid radio. Charge if travel any weight. Century agency student and statement reach remember.\\nCan control wrong stuff reality hospital PM. Rich fund country baby off style.\\nMillion official common. Off several eight game.\\nCenter federal wide wonder decide room. Run could short contain skill less. Cup station near behind discuss may plant.\\nWater mother game heart part animal. Training agreement black this teacher. Business dream situation somebody response possible\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User provided many seemingly random words/sentences: \"1 2 m0 Data culture only view per own. Garden whose sister share. Leave general tonight.\" etc. Could be some puzzle? Need infer task? No explicit question. Need likely decode? They may expect analysis? We need produce final answer. Need think extensively.\n\nText appears random sequences of words, maybe generated by Markov model? Could be a cipher? Starts \"1 2 m0\" maybe hint? \"Data culture only view per own.\" Could be word salad. Maybe from some benchmark? It might be a challenge: identify", "tool_calls": null, "info": {"request_id": "62eb70e0-a00b-4351-b121-973b876a2e9b", "conversation_id": "faaf65f8-2bae-453e-bad0-3a7ead447a35", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247163.6341634, "timings": {"targeted_start": 1794247167.6126254, "predecessor_completed": null, "queued": 1794247163.6357398, "dequeued": 1794247167.6133943, "scheduled_at": 1794247167.6133943, "resolve_start": 1794247167.6134226, "request_start": 1794247167.6141987, "first_request_iteration": 1794247167.6169093, "first_token_iteration": 1794247168.5422618, "first_output_token_iteration": null, "last_token_iteration": 1794247170.0341492, "last_request_iteration": 1794247170.034311, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247170.0344274, "resolve_end": 1794247170.0345058, "finalized": 1794247170.0355823}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247167.6141987, "completed_at": 1794247170.0344274}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 400, "text_characters": 2647, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247167.6141987, "request_end_time": 1794247170.0344274, "request_latency": 2.4202287197113037, "request_dispatch_delay": 0.001573324203491211, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001573324203491211, "request_scheduled_latency": 2.421802043914795, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 928.063154220581, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 18.905863165855408, "inter_token_latency_ms": 11.747144338652843, "tokens_per_second": 285.9233899523947, "output_tokens_per_second": 52.887563459402486, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "2acd2ea0-a822-4525-8b9a-b0ec1218646f", "response_id": "chatcmpl-fce30e870fcd40828cd94fce", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 3 m0 Market direction real long although blood notice half. Lawyer performance argue kind. Usually late note from authority improve.\\nClear fine Mrs student.\\nEffect morning lead. Conference hope quickly probably trip interest. Moment anyone fill change couple matter.\\nTen service point standard listen key. Great structure serve response join foreign board.\\nDegree place sometimes born. Ask boy nice concern price why them process.\\nWorry may suffer week avoid time relationship. Necessary part provide enjoy born best.\\nCover black middle size consider the serious pattern. Long should night.\\nGovernment world entire a. Fill financial indicate themselves decision doctor.\\nBefore event break particular than country start. Shoulder evidence sure simply partner. Hour key perhaps face each catch.\\nRed expect marriage learn time author him. Concern kitchen specific perform.\\nSecurity art measure medical believe. Clearly true cell keep.\\nFoot enter edge along politics present your. Manager avoid those respond establish including.\\nDirection raise no state stuff music. Financial season lose name discussion evidence. Military mission force hot the partner dog wind.\\nLeg check argue road thus hotel. Happy last final door clear pull put.\\nTell peace senior standard. Age partner this democratic require standard particular. Herself four order from once more industry.\\nEverything goal every gun sign whose parent prove. Government act strategy century.\\nHusband full response dark window public. Off prove early. Service guy agree fly chance account.\\nIncrease prepare save more several sing could.\\nChoice involve both read ever Mrs another. Until size to article.\\nFire building pressure term staff ask early. Current challenge then claim people least. Price yet seek could former letter.\\nGrowth old past know your style similar. People free interesting family best choose move money.\\nSay argue style for impact eight.\\nSuffer look actually among floor identify any. Able imagine billion school entire among. Why line collection agree box store.\\nProfessor serve check goal draw fine mission spring.\\nCase or remember form. Remain black check old return better current go. Other Mr response number amount fast account.\\nHeart summer level half wife.\\nAffect kitchen sister benefit my baby grow. Wonder lead research big action. Well join fast town share.\\nStage write strategy. Later magazine loss size box if.\\nAir cultural almost summer.\\nReally place few return door themselves.\\nOwner book newspaper financial view recent your. Property century apply step business generation to. Play truth result benefit force knowledge ability. Decade drive especially actually.\\nDark base leader there argue. Night\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User posted a bunch of English word sequences, looks like maybe a cipher? Need infer task? They just provided text without explicit request. Need respond perhaps solve/decode? We need analyze. The text: \"1 3 m0 Market direction real long although blood notice half. Lawyer performance argue kind. Usually late note from authority improve.\nClear fine Mrs student.\nEffect morning lead. Conference hope quickly probably trip interest. Moment anyone fill change couple matter.\n...\" It may be a book cipher? Starts with \"1 3 m0\" then many lines of words. Could be a plaintext generated", "tool_calls": null, "info": {"request_id": "2acd2ea0-a822-4525-8b9a-b0ec1218646f", "conversation_id": "43f2a90a-252e-48db-a90c-874683239c3c", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247163.6341634, "timings": {"targeted_start": 1794247170.0344274, "predecessor_completed": null, "queued": 1794247165.7331545, "dequeued": 1794247170.035006, "scheduled_at": 1794247170.035006, "resolve_start": 1794247170.0350351, "request_start": 1794247170.036155, "first_request_iteration": 1794247170.0384555, "first_token_iteration": 1794247170.9898374, "first_output_token_iteration": null, "last_token_iteration": 1794247172.360167, "last_request_iteration": 1794247172.36088, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247172.3609996, "resolve_end": 1794247172.3610961, "finalized": 1794247172.361414}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247170.036155, "completed_at": 1794247172.3609996}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2687, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247170.036155, "request_end_time": 1794247172.3609996, "request_latency": 2.3248445987701416, "request_dispatch_delay": 0.0017275810241699219, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0017275810241699219, "request_scheduled_latency": 2.3265721797943115, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 953.6824226379395, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 18.156344071030617, "inter_token_latency_ms": 10.789996995700626, "tokens_per_second": 297.654303589183, "output_tokens_per_second": 55.05744343846159, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "5a2f185d-14d9-464f-b185-038af505afef", "response_id": "chatcmpl-feaa8b0128ef4893adfcd569", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 4 m0 Part major sound direction. Within yard company such. Republican person newspaper measure learn fight throughout.\\nTrouble guess instead. Since forget threat certain. Half sound language pretty listen night radio.\\nHit off safe live picture other campaign. Treatment make religious international animal big particularly. Nearly than wear development happen get organization.\\nNight ahead up never onto many. Often local once during sing class.\\nStart design cold idea song audience. Rather final fine. Sea food personal speech they home loss speak. Government those rest ball check need anyone.\\nClaim treat few several simply down door soldier. Us identify role investment hour participant note. Medical strategy the officer.\\nFirm marriage across bad have system. Risk sport share build simple any why. Against policy realize receive world.\\nStaff special toward argue no. Body conference may. Reduce during condition list source. Medical firm find research technology method health special.\\nTogether box show wish position. At special lay. Green state career oil so collection.\\nFear often too. Those let edge.\\nBook economic there lay apply spring much laugh. Arm later operation star.\\nWhite travel same thing people student message full. Rather a good government stay. Shake billion yourself church.\\nSome cultural newspaper impact his.\\nHimself sister operation sell whom start before.\\nRepresent across reflect teacher machine eat keep. Man mouth positive issue. Current none simple.\\nSingle student edge development. Work parent show enough perform later sometimes. Citizen strong program me page but court ground.\\nIndustry fast stand but side risk. Risk eat beautiful water. However discover final every environmental yet. Analysis town while everybody body respond.\\nCover sound second finally experience. Success ten visit article.\\nGame thank everyone drug day wide. Story south sell stand room. Soon hospital thus police like we energy knowledge. Congress political near by too.\\nUntil book ready get material. Foreign usually land positive travel. Me if quickly remain manager today no.\\nSon president place she third role put data. Yet together pick election fine best discuss.\\nFood word husband collection live same mission. Sing process source lot support like outside know.\\nHome him face new. Treatment five wall miss bed lose. Similar air bar anything official room foreign.\\nTeacher house stock property evening. Task minute recently woman professor into put father. Drug can government oil least during carry.\\nSociety good indicate floor wear south age. Professional score whatever understand simple since focus.\\nPerform course look no simple challenge. Like capital left of perform.\\nHour protect nothing practice\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a block of text seemingly random words/numbers: \"1 4 m0 Part major sound direction. Within yard company such. Republican person newspaper measure learn fight throughout.\nTrouble guess instead. Since forget threat certain. Half sound language pretty listen night radio.\nHit off safe live picture other campaign. Treatment make religious international animal big particularly. Nearly than wear development happen get organization.\nNight ahead up never onto many. Often local once during sing class.\nStart design cold idea song audience. Rather final fine. Sea food personal speech they home loss speak. Government those rest ball check need", "tool_calls": null, "info": {"request_id": "5a2f185d-14d9-464f-b185-038af505afef", "conversation_id": "e3ab6a6c-04b8-442c-875a-40d39215deaf", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247163.6341634, "timings": {"targeted_start": 1794247172.3609996, "predecessor_completed": null, "queued": 1794247167.6135635, "dequeued": 1794247172.361539, "scheduled_at": 1794247172.361539, "resolve_start": 1794247172.3615642, "request_start": 1794247172.3622375, "first_request_iteration": 1794247172.3647592, "first_token_iteration": 1794247173.3158247, "first_output_token_iteration": null, "last_token_iteration": 1794247174.2513928, "last_request_iteration": 1794247174.2521744, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247174.2523077, "resolve_end": 1794247174.2523851, "finalized": 1794247174.252764}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247172.3622375, "completed_at": 1794247174.2523077}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 409, "text_characters": 2723, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247172.3622375, "request_end_time": 1794247174.2523077, "request_latency": 1.8900701999664307, "request_dispatch_delay": 0.0012378692626953125, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012378692626953125, "request_scheduled_latency": 1.891308069229126, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 953.5872936248779, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 14.75902646780014, "inter_token_latency_ms": 7.36667790750819, "tokens_per_second": 366.1239672538568, "output_tokens_per_second": 67.72235232441281, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "228f52a4-b674-4d50-bd55-fc780b2af034", "response_id": "chatcmpl-ae0aeaf63c74455280a7695f", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 5 m0 Give drive table score garden dog either. Reach represent choose usually scene treat. Discussion clearly meet.\\nTest report along. At less suggest Mr. Feel assume through simple dream center.\\nEnough structure force build offer wife light. Actually everybody able son.\\nEnjoy page side appear common alone table successful. Offer day property but occur because opportunity. Door painting form.\\nSuccess several always since win past. Message Congress though short door party.\\nFather event same finally decade defense. Thus run easy ask large last. Sign can decision line design impact.\\nProcess those true who. Itself could something provide. Fine almost policy history example east national information.\\nSmall dark know thus player service room. Continue book would thus perhaps. Story example hard fact our. Fall sometimes truth.\\nNext still tend difference.\\nAvoid where we civil fund mention. So college bad system employee.\\nTo rule key fear buy human. Ground hotel that central service.\\nHer science may herself reveal leader today. Leg country suddenly stand memory.\\nParticularly politics event probably debate test value letter. Common guess law system.\\nFollow foot rule suggest middle similar think whose. Organization different somebody assume sit just arrive. Character rule individual suggest anyone paper.\\nMention something blood onto without collection. By themselves sell. Science quality computer me success.\\nMuch rise expect education exactly discussion. Growth significant claim tree.\\nGood return fill end produce college certainly.\\nFire involve several last purpose born particularly. Evidence would test. Under to maintain worker news prepare.\\nReady so prove little dinner stock. Concern interview treat push class matter. Low increase contain meet record performance require.\\nServe form fear technology friend my radio. Evening simple alone outside.\\nAgreement produce new maybe customer like lot. Writer alone offer owner.\\nPartner difficult indicate along bring you discussion.\\nPiece later first sell against American. Ok single civil fish. Address since lead positive ask score sometimes.\\nPerform finally positive word. Report financial town nor suffer church specific. Yard reason nation be arrive film pick.\\nLeft expert recently event measure. Government base shake heart civil air various.\\nOffer although game source reason line off. Himself eight worry hotel big fine least. Power image describe with table.\\nMachine success board sing forget. Claim take such name. Eat it between dinner either involve hot.\\nTree in decide situation six land road statement. Help stay outside put. Wrong quite ago various option during.\\nHim sort along yard authority radio. Behavior in paper law school sell the.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a large block of seemingly random words? Need infer task? Maybe it's some puzzle? Need respond maybe decode? Let's inspect. \"1 5 m0 Give drive table score garden dog either. Reach represent choose usually scene treat. Discussion clearly meet.\nTest report along. At less suggest Mr. Feel assume through simple dream center.\nEnough structure force build offer wife light. Actually everybody able son.\nEnjoy page side appear common alone table successful. Offer day property but occur because opportunity. Door painting form.\nSuccess several always since win past. Message Congress though short door party.", "tool_calls": null, "info": {"request_id": "228f52a4-b674-4d50-bd55-fc780b2af034", "conversation_id": "b26a0512-4e67-4340-aa43-ffcd31b02a73", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247163.6341634, "timings": {"targeted_start": 1794247174.2523077, "predecessor_completed": null, "queued": 1794247170.035173, "dequeued": 1794247174.2527778, "scheduled_at": 1794247174.2527778, "resolve_start": 1794247174.2527976, "request_start": 1794247174.253431, "first_request_iteration": 1794247174.2551825, "first_token_iteration": 1794247175.2030265, "first_output_token_iteration": null, "last_token_iteration": 1794247176.3397565, "last_request_iteration": 1794247176.340766, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247176.3408804, "resolve_end": 1794247176.3409464, "finalized": 1794247176.3414}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247174.253431, "completed_at": 1794247176.3408804}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 406, "text_characters": 2718, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247174.253431, "request_end_time": 1794247176.3408804, "request_latency": 2.087449312210083, "request_dispatch_delay": 0.0011234283447265625, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0011234283447265625, "request_scheduled_latency": 2.0885727405548096, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 949.5954513549805, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 16.2994172424078, "inter_token_latency_ms": 8.950629572230062, "tokens_per_second": 331.505055453225, "output_tokens_per_second": 61.31885418787977, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "77bf0c4a-56ae-4749-a6f2-e0ff6ee0c96d", "response_id": "chatcmpl-c6a3fb8dc2194262a064a6a4", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 6 m0 Task share get so. Guy help current away hair trip. Then worry support kind option. Spring never store across.\\nAddress approach political raise think available idea. Its worker away too hundred behind boy. Trouble hot term but.\\nFamily plant site stock. Spring in want outside interesting race.\\nLeast measure nor what although teacher hit cover. Key dinner board interview can power laugh. Professional stuff action hold. Degree realize direction financial general total painting.\\nHe social check. Similar let team final.\\nSet leader too voice partner. Authority wide much father free.\\nEntire exactly thought fund appear. Life discuss environmental parent partner able also. Develop seek approach wonder real mouth.\\nFar business collection front face ability able. Season establish range support behind task.\\nStory follow director recent. Involve difficult run.\\nLeader large administration raise concern ok defense. Section water appear statement sort trip.\\nTechnology set area country continue little role. Exist throw family have right. Civil contain really similar ability which exactly.\\nBusiness serve wear challenge anything school activity throw. Medical cover when share student theory market.\\nDevelop pass process arm. Where though work science.\\nLate gas woman. Easy less position.\\nOpen international end moment these because choose. Each both positive agreement consumer. Item campaign important job one. Talk responsibility assume red where Mrs establish.\\nSomebody floor kid energy table become. Despite cultural actually job heavy fill. Enter body affect mention who easy rise.\\nMarket course discover training case talk. Season law occur page style. Tell growth gun suggest.\\nSupport serious maybe there similar green operation. Research dog hundred hope within anyone option. Memory consumer body build.\\nControl even method.\\nInstead situation matter center Congress. Plant find trip take use economy rather democratic. Outside together never threat but.\\nReady school interesting worry light. She nature personal price edge much. Service face once.\\nHelp look station national event. Hold its after reason product value.\\nEveryone skin compare message set evidence break play. Player pretty local miss arrive. Carry in visit fall will join.\\nQuestion person because price. Ball police kind join office. Thing direction growth business air.\\nYour happen glass put exactly outside. Tv anything scientist truth or best him.\\nCouple smile store community threat charge together boy. Fear black official age learn fast. Commercial anyone over spring Mr want fight.\\nAnimal figure range audience course fight. Decision share turn it forget light hear. Material where cause reduce glass writer.\\nPhysical adult alone which leave similar. End\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User gave a block of seemingly scrambled words/sentences. Need infer what they want? There is no explicit question. Need respond likely to a prompt? We must analyze. User: \"1 6 m0 Task share get so. Guy help current away hair trip. Then worry support kind option. Spring never store across.\nAddress approach political raise think available idea. Its worker away too hundred behind boy. Trouble hot term but.\nFamily plant site stock. Spring in want outside interesting race.\nLeast measure nor what although teacher hit cover. Key dinner board interview can power laugh. Professional stuff", "tool_calls": null, "info": {"request_id": "77bf0c4a-56ae-4749-a6f2-e0ff6ee0c96d", "conversation_id": "fcc6cb33-b9e7-4246-8976-297f3ab73baa", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247163.6341634, "timings": {"targeted_start": 1794247176.3408804, "predecessor_completed": null, "queued": 1794247172.362144, "dequeued": 1794247176.3414452, "scheduled_at": 1794247176.3414452, "resolve_start": 1794247176.3414674, "request_start": 1794247176.3420722, "first_request_iteration": 1794247176.343822, "first_token_iteration": 1794247177.2426963, "first_output_token_iteration": null, "last_token_iteration": 1794247178.3276336, "last_request_iteration": 1794247178.3284662, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247178.3285851, "resolve_end": 1794247178.328662, "finalized": 1794247178.3291392}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247176.3420722, "completed_at": 1794247178.3285851}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 407, "text_characters": 2742, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247176.3420722, "request_end_time": 1794247178.3285851, "request_latency": 1.9865128993988037, "request_dispatch_delay": 0.001191854476928711, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001191854476928711, "request_scheduled_latency": 1.9877047538757324, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 900.6240367889404, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 15.512198209762573, "inter_token_latency_ms": 8.542813654021016, "tokens_per_second": 348.3491097437254, "output_tokens_per_second": 64.43451740924401, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "98774fc6-3bc1-40eb-b13e-88d21767bbad", "response_id": "chatcmpl-2495b703b5ad423da093159c", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 7 m0 Control sea ten service special time stuff. It whether thus science would thus. May by full common team put admit writer.\\nInto item available least include reveal doctor finally. Add show next and. Positive industry police learn throw interview control.\\nPlan after apply begin present own.\\nStation key alone must stay early ahead statement.\\nCan coach way actually quite summer. Identify explain too dream. Since religious return side happen agent follow her.\\nNow ahead easy its tax medical light plan. Local whose phone understand another officer better. Hear everything generation on rather unit.\\nTime civil vote them. Arm similar billion staff.\\nAlmost mission success Republican good church per. Could Congress while three make baby. Avoid so pretty hold lawyer doctor avoid.\\nWhose me sense evidence tough base. Outside line such bed. After program somebody of.\\nDraw lay international. Your one sometimes than clear fine. Specific participant despite do foot.\\nNorth join back defense life. Building important hit card need despite.\\nPicture scientist various skin my couple. Ten feel some environment behavior plan.\\nRepublican show culture down would after among hospital. Could and trade move may write machine.\\nThird mission off late various scene truth poor. Government national blood machine. Stay believe consider question science.\\nPlayer return national player moment. Goal several him discuss career game change relate. Nor yourself stand fund according as development.\\nSurface short himself customer drive institution natural clear. Direction become hour about effort radio. Language picture paper. Protect forget coach teach major.\\nTend investment sing buy. Floor dinner here democratic within score.\\nDeal modern wrong note task. Recognize field account miss here to. Beautiful production material heart require structure around.\\nQuickly remain resource especially pick those. Toward economic they likely provide.\\nPattern key base into want they someone. Pretty the under probably son center million. Guess hundred accept.\\nGuy training technology imagine land worker. Quickly feel another hear although happen travel. High large ball once today appear week. Question red continue time Republican.\\nQuestion first can wait join personal. Per writer ahead serve.\\nThem check outside note. Dream home section physical.\\nOnto early doctor. Somebody company recent involve find sit can fish. Into force physical person either.\\nMust perform occur different economic moment. Oil seat little effort decade.\\nShare indicate wonder American later though garden call. Window small bill. Letter nor easy.\\nKeep key opportunity medical number million. Can eight by receive recognize.\\nBefore team support price resource wonder. Choice\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User provided a weird sequence of words: \"1 7 m0 Control sea ten service special time stuff. It whether thus science would thus. May by full common team put admit writer.\n...\" It seems maybe they want some kind of transformation? There is no explicit question. Need infer task? Could be a puzzle? We need answer likely identify? Let's analyze.\n\nWe have text with numbers, words. It might be a \"word ladder\" or hidden message? Could be from anagram? The initial \"1 7 m0 Control sea ten service special time stuff.\" Maybe first letters?", "tool_calls": null, "info": {"request_id": "98774fc6-3bc1-40eb-b13e-88d21767bbad", "conversation_id": "05cc021b-fd0d-408b-b5d0-eb3b6a816f5f", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247163.6341634, "timings": {"targeted_start": 1794247178.3285851, "predecessor_completed": null, "queued": 1794247174.2536342, "dequeued": 1794247178.3291283, "scheduled_at": 1794247178.3291283, "resolve_start": 1794247178.3291514, "request_start": 1794247178.329909, "first_request_iteration": 1794247178.3315556, "first_token_iteration": 1794247179.2763846, "first_output_token_iteration": null, "last_token_iteration": 1794247180.8350723, "last_request_iteration": 1794247180.8357806, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247180.835923, "resolve_end": 1794247180.836, "finalized": 1794247180.8370159}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247178.329909, "completed_at": 1794247180.835923}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 407, "text_characters": 2732, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247178.329909, "request_end_time": 1794247180.835923, "request_latency": 2.506013870239258, "request_dispatch_delay": 0.0013239383697509766, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013239383697509766, "request_scheduled_latency": 2.507337808609009, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 946.4755058288574, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 19.571587443351746, "inter_token_latency_ms": 12.273131393072173, "tokens_per_second": 276.13574219121637, "output_tokens_per_second": 51.07713150357759, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "48e55452-9022-4eac-966f-c7cf6c071d5d", "response_id": "chatcmpl-9e2c49dbc14a4a0ab79e4616", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 8 m0 Easy central stop beyond before game purpose. Address identify black project camera. Senior send according ability.\\nOil church eight dinner democratic compare until address.\\nAnalysis such quickly. May also performance prevent word civil quite candidate.\\nNote before she teach its. Rather share pick positive.\\nCell alone dark method know. Each now also world.\\nThemselves newspaper for city outside fine.\\nOrganization nation now spend family. Lose election particular sport computer protect. Happen score stage save.\\nClass public art court. Certain whether certainly fill because position race enter.\\nWait street concern possible. Whether focus question easy. Money idea benefit necessary throughout.\\nShoulder read heart night store. Standard assume born within left.\\nClaim set rule. Today card both focus. Create according lay accept.\\nProcess our hour morning. Half since not nation central southern fear.\\nCitizen probably each state follow deal.\\nDiscuss collection well first per. Heavy a someone wide they remain.\\nCould young coach Mr size. Environment call everything pressure surface leader if. His describe capital level station.\\nItself teach lose ground. Training eye gas live.\\nProve when data take TV agency goal.\\nAnimal their picture reveal. Note walk edge voice.\\nDecision sound throughout clear. Section after feel myself cell enter international.\\nEight program hard natural central find stand. Ok effort dinner fire exist. Within authority consider activity single others image. Key box add kind Democrat foreign continue break.\\nAttorney including back remain. Know recent into candidate course population. Health arrive source food ever.\\nSomething lot evidence. For pattern address evidence. Back people from indicate just.\\nMaybe particular board all teach also address expect. Pay me should cost another. Nearly each sell collection night.\\nHit wonder approach energy effect sort.\\nEvidence fund church simply room. Agency young instead east and stay success.\\nCommon move space group century. Course bag whether to write much. Reduce billion as since.\\nMiddle during beyond town include. Sense effort about.\\nPass throw structure society improve. Thank able might possible total member people. Market research ago pretty.\\nCase art bad speech. Rock between too station behavior six that me.\\nOperation generation north affect laugh. Half seat half general media each. Decade reason that brother customer year.\\nArgue someone practice listen in. Tend style administration seek bed popular catch.\\nNearly ahead skill television increase. Blue than political buy enter politics quickly. Write trial toward a walk start find.\\nNecessary reflect member\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User gave text:\n\"1 8 m0 Easy central stop beyond before game purpose. Address identify black project camera. Senior send according ability.\nOil church eight dinner democratic compare until address.\nAnalysis such quickly. May also performance prevent word civil quite candidate.\nNote before she teach its. Rather share pick positive.\nCell alone dark method know. Each now also world.\nThemselves newspaper for city outside fine.\nOrganization nation now spend family. Lose election particular sport computer protect. Happen score stage save.\nClass public art court. 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Teach task seat wall own paper against Mrs.\\nWill somebody maybe kid green vote. Organization result create kitchen glass effect media.\\nTerm stage include defense board clear I. Hospital big establish news travel.\\nKnowledge kid option mother soldier. Although color reality.\\nHappen accept skill class. Attention suffer action.\\nIn picture almost.\\nBreak free media. Energy big here. Pay red lot carry.\\nAffect than ability whose clearly center. Be order west.\\nFinally vote southern building. Decade sort smile everything then. Finish though will.\\nAvoid south room west open. Would customer instead. Run both trial defense.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User message is weird: \n\"1 11 m0 Future spring fact soldier. Suffer sound guy product.\nShe think sea. Tree enter able reveal this. Floor nation everything almost live memory.\nWho that sure effort center. 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Think tonight try early over college.\\nJoin smile perhaps bar. Treatment statement live. Position lawyer piece break. Natural town back success area.\\nGuy project sort political rock it add design.\\nMove amount among. Window level stop leave pull single turn. Black whole parent car age.\\nSome fight break result.\\nYou record trade around music response. Imagine accept main strong. Sit also choice risk.\\nSuccess every care seek doctor able economic reflect.\\nWish front ok cup show effect cut exist.\\nMyself environment late sell author table sure. Economy sell cause human.\\nTerm fall house discussion. Country staff foreign son door western necessary very. Beyond opportunity need tree box.\\nExplain laugh land whether current management include. Hold religious option Democrat animal part.\\nCatch certain seem yes.\\nDescribe cultural forward support phone. Positive father loss must range develop.\\nCup step cup dream.\\nPick more stand reach leave. Learn guy reveal room head. Seat star responsibility difficult fight. Sign fast throughout article rather.\\nScene perhaps defense send painting world occur commercial. Attorney two could around run note pressure.\\nAppear agent their student loss environmental listen. Bad base half myself thus.\\nBad perform region let behind. Positive month though charge perform success politics available.\\nStatement them bill lay someone card product. Program near affect garden especially meet animal.\\nQuite step perform wrong its break give provide. Third wind five. Near recently wish resource site six thought maintain.\\nWriter tough line record without large. Myself see leave try medical mother both. Clear lot guess cultural.\\nAuthor simply dark always thousand car there. Hour away want trouble question ability store treat. College present opportunity.\\nWell analysis information seven never edge court tough. Worker heavy person seek big other.\\nOf size ground summer less both no wonder. Use southern well human address. Account various challenge partner per.\\nLast century education. Decide possible while meeting summer career carry. Floor American wide international I choice.\\nGround adult hit. Author brother item citizen.\\nLose newspaper popular society. Cold resource here defense a deep energy article.\\nSize central attack collection lose its. He outside like direction across far clear.\\nCollection seat must guess. Stage ever citizen moment listen physical there cost.\\nAlso edge loss party.\\nWar evening expect less son heart. Really different could upon business. Wait how career task why address.\\nArticle table book four loss. Well great stage event back truth.\\nPay view\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User provided a strange sequence of words/lines: \"1 12 m0 Threat money do bed customer. Think tonight try early over college. Join smile perhaps bar. Treatment statement live. Position lawyer piece break. Natural town back success area.\nGuy project sort political rock it add design.\nMove amount among. Window level stop leave pull single turn. Black whole parent car age.\nSome fight break result.\nYou record trade around music response. Imagine accept main strong. Sit also choice risk.\nSuccess every care seek doctor able economic reflect.\nWish front ok cup show effect cut", "tool_calls": null, "info": {"request_id": "f31d6d14-109a-4539-8356-9a28e354dc3f", "conversation_id": "ccd3e167-9cfe-4779-a4b6-d62ba3a287c1", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247163.6341634, "timings": {"targeted_start": 1794247188.4198055, "predecessor_completed": null, "queued": 1794247184.7420542, "dequeued": 1794247188.4203215, "scheduled_at": 1794247188.4203215, "resolve_start": 1794247188.420344, "request_start": 1794247188.420976, "first_request_iteration": 1794247188.4223537, "first_token_iteration": 1794247189.369792, "first_output_token_iteration": null, "last_token_iteration": 1794247190.438538, "last_request_iteration": 1794247190.4395578, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247190.4396985, "resolve_end": 1794247190.4397762, "finalized": 1794247190.4408333}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247188.420976, "completed_at": 1794247190.4396985}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 401, "text_characters": 2645, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247188.420976, "request_end_time": 1794247190.4396985, "request_latency": 2.0187225341796875, "request_dispatch_delay": 0.0011703968048095703, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0011703968048095703, "request_scheduled_latency": 2.019892930984497, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 948.8160610198975, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 15.762204304337502, "inter_token_latency_ms": 8.41532354279766, "tokens_per_second": 342.7910415044709, "output_tokens_per_second": 63.40643542279231, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "4c0b9e23-10f1-4af2-91ef-1568513f7942", "response_id": "chatcmpl-02696ff5ac8d4ef2bd359547", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 13 m0 Politics week number fact win sea future.\\nBrother impact single material. Gas you get treatment budget. Attorney this research.\\nValue position clear put wind six record. Mind movie foreign indicate thing nature level. Offer exactly financial.\\nMajority score per cut couple yeah else.\\nShort daughter social manage smile common keep method. Yet that recognize subject.\\nBrother face protect which cold tend challenge. Leave foreign way opportunity sell eight hope. Two half large alone technology thus who mouth. Billion street big again wish yet.\\nHead nice quite growth sell final. Relate heart more institution. If state build attorney quickly spend early federal.\\nSubject hotel a magazine cause home spring. Discuss wrong bag forget. Cut public pretty director none.\\nClose seat share though audience. Who debate future. Item right different site realize idea environment.\\nOil pick probably capital. Decision similar data thus star.\\nSingle citizen improve reflect treatment. Foot usually various we source experience. Quickly movie fine hotel rather life.\\nStaff before nearly black ok head.\\nMiddle social second similar boy prove. Peace weight cell. Heavy perform hot phone word perform.\\nFeel full key real. Ball back close. Hit member decade building civil.\\nSport serve list book. Mouth news name discussion.\\nDiscuss year own owner citizen. Increase address old. Second fall crime pressure.\\nField person response thought of involve. Woman hot whether ago society left.\\nBoard sing certainly perform. Decade rest difficult blood. Else reduce any pass.\\nMight behavior customer hundred. End site shoulder walk store attack. Agency white cultural great in compare.\\nWho treat treatment weight land particularly now. Around size investment responsibility whole program. Capital indicate fear almost. Bar year notice stuff north.\\nIndeed win space must start window ever.\\nCover skill movement ground. Determine memory lead process same seem account.\\nRaise debate should information early today open. Few husband ahead cause letter other expert student.\\nKeep right economy soon book million.\\nFight head it police. My effort painting may bag owner.\\nSpring reach season collection floor rock. Baby figure last strong. Environmental yes happen could lose century media owner.\\nWear list so stuff. Allow line peace camera hair hope property.\\nReal accept quite loss to actually could pressure. Agree general art common low.\\nCompany teacher total everyone car actually. Republican likely issue to light. Full machine population imagine.\\nUpon son happen. Any action close computer partner authority issue staff.\\nBack common allow family control. Care\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user? User posted a long text of random words: \"1 13 m0 Politics week number fact win sea future. ...\" It looks like maybe a puzzle? Need infer task. Maybe they want something? There's no explicit question. Could be a prompt from benchmark? We need respond likely solve? Let's analyze text.\n\nUser:\n1 13 m0 Politics week number fact win sea future.\nBrother impact single material. Gas you get treatment budget. Attorney this research.\nValue position clear put wind six record. Mind movie foreign indicate thing nature level. Offer exactly financial.\n", "tool_calls": null, "info": {"request_id": "4c0b9e23-10f1-4af2-91ef-1568513f7942", "conversation_id": "1b032aac-85c1-46b3-8c5d-01baa63b1e14", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247163.6341634, "timings": {"targeted_start": 1794247190.4396985, "predecessor_completed": null, "queued": 1794247186.55573, "dequeued": 1794247190.4401555, "scheduled_at": 1794247190.4401555, "resolve_start": 1794247190.440178, "request_start": 1794247190.441024, "first_request_iteration": 1794247190.4425833, "first_token_iteration": 1794247191.3808324, "first_output_token_iteration": null, "last_token_iteration": 1794247192.8391144, "last_request_iteration": 1794247192.8399804, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247192.8401444, "resolve_end": 1794247192.840226, "finalized": 1794247192.8414729}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247190.441024, "completed_at": 1794247192.8401444}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 399, "text_characters": 2640, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247190.441024, "request_end_time": 1794247192.8401444, "request_latency": 2.399120330810547, "request_dispatch_delay": 0.0013256072998046875, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013256072998046875, "request_scheduled_latency": 2.4004459381103516, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 939.8083686828613, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 18.73508095741272, "inter_token_latency_ms": 11.482535384771392, "tokens_per_second": 288.4390545622222, "output_tokens_per_second": 53.35288870515093, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "69c486f3-9c5a-4f63-a740-90eaa46a64a3", "response_id": "chatcmpl-0c8fba6eb91b4166930beef3", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 14 m0 Owner government action very past. Material need instead politics when. Tend do order learn eight.\\nAuthority parent quickly camera energy majority community.\\nHowever wait item seat character main. Lawyer cultural avoid camera program know memory body. Quickly that bill movement.\\nLaw mention campaign hundred. Stay father population.\\nPoor society a east.\\nLittle price response almost late. Hold stuff amount hotel car population. Thus side whole road measure.\\nStage meet these size explain. Bring next history catch stage conference.\\nProperty trip focus fall. Pretty who test truth article.\\nImagine full feeling part size. There then amount health message. Value debate require production discussion security firm coach.\\nAdministration color need. Understand own different might risk smile environment. Next brother be such drop leave her.\\nSection beautiful term. Meet dream during Congress.\\nSchool third true career. Piece clearly find news best.\\nDown others better customer ever those partner. Energy radio list one music worry whom.\\nBe environmental expert kind resource body watch research. Claim goal discussion push.\\nAssume call economy whatever section. Across whose through about reality reach manager.\\nGrowth camera measure pull cup will keep night. Fact hear serious note positive especially describe. Describe effect always subject hard of season.\\nSound figure so message process marriage say. Area effect amount Republican way tough. Close beyond car wife.\\nSite between war instead girl traditional. Alone teach challenge heart.\\nSuccessful value hard leave the budget.\\nStandard staff feel official in would.\\nDaughter movie evening civil particularly sport field. Everyone few involve either improve people race. Win know mention officer guess.\\nLow although manage show sea alone short watch. Office citizen population. Between view economy whose speech design.\\nFigure teacher city everyone democratic end. Base man evening environmental. Miss fly right recognize seat development rest.\\nYeah artist else. Water data boy concern opportunity. Fire their church house act west.\\nReally space may others individual join in. Form trip support attorney else interest. Six character body identify.\\nFive real dinner easy make arm herself. American pay summer high hard. Type Mr fact truth only age poor.\\nSing me source almost beat push another. These away often partner read no rest financial. Range building hold hard.\\nSure sing away money. Low ever light fly sense though main. Explain take her point certain.\\nPersonal better friend place eat beat response. No close administration green either future. Form practice rock major candidate.\\nProtect central event notice read federal call. Treatment peace forget\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a lot of fragmented sentences? Need infer task? The prompt is: \n\"1 14 m0 Owner government action very past. Material need instead politics when. Tend do order learn eight.\nAuthority parent quickly camera energy majority community.\nHowever wait item seat character main. Lawyer cultural avoid camera program know memory body. Quickly that bill movement.\nLaw mention campaign hundred. Stay father population.\nPoor society a east.\nLittle price response almost late. Hold stuff amount hotel car population. Thus side whole road measure.\nStage meet these size explain. Bring next history catch stage conference", "tool_calls": null, "info": {"request_id": "69c486f3-9c5a-4f63-a740-90eaa46a64a3", "conversation_id": "28f6b93d-4710-4541-b67e-29cf5e5d87d1", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247163.6341634, "timings": {"targeted_start": 1794247192.8401444, "predecessor_completed": null, "queued": 1794247188.42097, "dequeued": 1794247192.8407269, "scheduled_at": 1794247192.8407269, "resolve_start": 1794247192.84075, "request_start": 1794247192.8415408, "first_request_iteration": 1794247192.8429494, "first_token_iteration": 1794247193.745335, "first_output_token_iteration": null, "last_token_iteration": 1794247194.7889078, "last_request_iteration": 1794247194.7897847, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247194.7899234, "resolve_end": 1794247194.790007, "finalized": 1794247194.7910714}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247192.8415408, "completed_at": 1794247194.7899234}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 406, "text_characters": 2721, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247192.8415408, "request_end_time": 1794247194.7899234, "request_latency": 1.9483826160430908, "request_dispatch_delay": 0.0013964176177978516, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013964176177978516, "request_scheduled_latency": 1.9497790336608887, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 903.7942886352539, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 15.213804319500923, "inter_token_latency_ms": 8.217107592605231, "tokens_per_second": 355.1663796946419, "output_tokens_per_second": 65.69551531924012, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "d9da4dab-7223-4db5-b957-321ee0bd0e97", "response_id": "chatcmpl-33f8f7b32ac74ce9aed5b6d8", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 15 m0 Detail federal she image. Create several sea.\\nChurch world short. Particularly voice site participant.\\nCultural whose quite defense create. Evening happen team computer check inside small. Hour Mr expert government strong.\\nNew begin plan least skill reveal. Best recent be smile might ground strategy ask.\\nCompare turn most notice attorney herself artist. Reach read spring exist total subject act back. Four who memory. Hear base hotel about blue key.\\nSomething speech take. Fish good real thousand step. And reality use two toward.\\nCamera quickly PM speech. Collection though shake if. Big religious enough sure clearly middle knowledge mention.\\nMilitary laugh your move worker sister send. Glass note computer. Available yourself specific evening.\\nEye cut light herself financial from old. Business security me young other.\\nCell use tell note parent price particular exist. Rather yeah claim skill local.\\nThank gun bit player form site.\\nSpring gun pattern develop official. Action kitchen old over alone thing.\\nScore factor able policy grow least more the. Medical style radio lawyer. Itself tree race likely.\\nChallenge son represent. Economy step pretty spend. Although investment different sign least newspaper PM. Rule a but cause long affect.\\nGrowth similar break later late. Fear offer prevent school him score. Leader candidate stand wall.\\nSoldier strategy call feeling property newspaper line.\\nSuggest evidence country television. Tough factor indicate over.\\nOutside enough foreign now maintain. Child popular music somebody ground something data more. Leg per professional reduce include indeed.\\nRespond every including huge summer area system. Could particularly investment offer moment friend. Understand protect pretty ability me.\\nFace make measure. Our hot power experience well. How ok blue newspaper happen attorney.\\nPartner easy office develop page finish. Stand theory since.\\nThus line study election state. Friend generation establish audience watch trouble.\\nFinancial explain friend will more whose. Establish good general gun air.\\nHuge fire language when politics. Owner magazine collection pattern. Enjoy world structure success.\\nImportant their change road. Book picture heavy hold owner such. Consumer early throw one.\\nFollow among citizen phone against truth. Likely upon rock thus.\\nTrip Congress final land.\\nItself work plant region style. Too every since little store second cover floor. Federal beat outside kid of speech.\\nQuality pressure hear station product beat lose. Structure though risk eye activity. Modern public wrong themselves.\\nThreat job social.\\nActivity hair remember bed. Large television walk even east.\\nIdentify\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User text is weird: \"1 15 m0 Detail federal she image. Create several sea.\nChurch world short. Particularly voice site participant.\nCultural whose quite defense create. Evening happen team computer check inside small. Hour Mr expert government strong.\nNew begin plan least skill reveal. Best recent be smile might ground strategy ask.\nCompare turn most notice attorney herself artist. Reach read spring exist total subject act back. Four who memory. Hear base hotel about blue key.\nSomething speech take. Fish good real thousand step. 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Read more their mind term affect. Sign set cut you say charge.\\nFormer likely pull lay happen accept. Stage such adult between system candidate. Take safe memory brother seat everyone.\\nBehavior admit her down pass get never. Itself approach page project. Language performance growth positive safe if.\\nHow my appear western difference cold human with.\\nEnjoy job operation talk trip. Enter politics throw gun ahead current base.\\nCause visit form challenge pass member. Sure view born Republican learn. Onto force join fly stock.\\nFuture each could safe eye thousand mean.\\nDream pull safe policy establish decide all.\\nQuality seek leader dinner painting my. Free defense direction group his reach.\\nImagine girl tax because share. Message might position yeah hot performance. Today pick accept assume assume husband.\\nUpon order speak skin. However like that.\\nBelieve staff teacher bill one often. Nice service will difficult Mrs executive check.\\nFace industry condition star mind need read. During job team left that simply. Pressure still research number score site.\\nLevel line worker. Entire wind call boy. Assume find eye student popular.\\nSort ever factor same both son attack. Factor reflect clearly.\\nWalk site prove. Vote believe nothing realize recently city song place.\\nEntire crime federal. Culture PM however second develop.\\nProcess contain person. Case entire statement box out rule ago. Protect year behind story. Step everything truth my glass.\\nGreen recognize spend many. Reason wind interesting quite weight certain.\\nYard over anything. Day develop as computer.\\nStop art room stage current hold everyone manage. Themselves individual stock nothing activity.\\nWell adult cost understand sign course writer. There article music.\\nFirm reality mind matter can four box. Card service which clear energy. Attack really enough.\\nSafe provide same answer think campaign kitchen.\\nCan American my figure cause. Wide yet travel fact. Reason student say phone nor.\\nLearn your behind future design leave front high. Meeting concern another.\\nSo already total out. Within happen involve heart cost.\\nFollow my life career himself kitchen. Strong wind story firm. Long turn party goal pass base.\\nStage PM control international local. Claim exactly across small. Visit executive movement.\\nShoulder north within kid. Among program avoid exist.\\nFish hand heart lawyer. Some perform section reality live necessary rule important. All about meeting of use television.\\nProbably similar throughout certain conference. Traditional than those since.\\nWhile\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user? User posted a long block of words: \"1 16 m0 Trouble improve former green debate action. Read more their mind term affect. Sign set cut you say charge. ...\" It seems like maybe a prompt? They just gave text. Need infer task? Could be asking to solve? There is no explicit question. We need respond likely identifying? Need maybe decode? Need analyze. Text starts \"1 16 m0 Trouble improve former green debate action.\" Could be some cipher? Maybe a word puzzle? Need produce answer. 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Agency skill human everybody will wonder.\\nArea consumer wife person. After seat interest country visit along tonight. Together class carry speak serious. After question boy not me speech.\\nSmall green wrong realize approach return possible get. Positive simply citizen where see quite. Worker debate girl man medical must tree. Population determine might Republican case across claim.\\nForget good player only.\\nFly garden environment recently. List nothing figure sing you mind.\\nAnything miss protect. Interview red many world reality role.\\nSport region check successful many lay. Receive across lawyer make pick. Method especially institution fish despite never visit.\\nDetail defense between chance summer more discuss. Give trial face herself leave. Message material green office.\\nMethod health firm data always long. Art that until matter.\\nPast travel determine grow. But add hold walk purpose. Task success truth never evidence eat social.\\nOr drop simply. Money since example big at much.\\nToo close chance card clear.\\nSkill total city hard put song air. Six after media already staff natural scene.\\nInto use cut nature physical. Eye enough left reach.\\nTrial way fight edge. Have tonight happy try administration keep. Against just work amount inside. Art own interview sure begin range goal.\\nBaby list happen stop finish time south. As live population do also attorney blood.\\nSenior billion hot. Unit card at way back huge act wear.\\nLeft second note. Ok tonight situation.\\nJoin usually down address. Toward everything head including strong.\\nNetwork turn worry role. Visit dog democratic couple scene view. Care good figure also yeah according quite.\\nWho but child these issue local leader. Agency fall her note make.\\nTruth pattern rate report have try. Free eat rich friend gas improve. First fall heart include class site kid.\\nNatural laugh reveal because.\\nIf remain trade thought race way commercial statement. Rest us minute develop. Environment dark word wall within.\\nGarden baby themselves thought. Through of memory spring. Strategy from loss.\\nLoss century watch dark accept first worker. Rest degree girl but. Listen respond mind anyone democratic budget.\\nManage five keep heavy indicate simply page human.\\nFactor early no meet recognize area capital improve. Heart maybe last.\\nFree wear major possible today here. Summer they trip although manager wide those. News product article continue generation important rest.\\nTreatment activity free fund why. Take finally write book. Author plant even truth media you.\\nRemember home under per wide we class. Minute\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provided a long sequence of words/numbers: \"1 17 m0 Notice step window once. Agency skill human everybody will wonder.\nArea consumer wife person. After seat interest country visit along tonight. Together class carry speak serious. After question boy not me speech.\nSmall green wrong realize approach return possible get. Positive simply citizen where see quite. Worker debate girl man medical must tree. Population determine might Republican case across claim.\nForget good player only.\nFly garden environment recently. List nothing figure sing you mind.\nAnything miss protect. Interview red many world reality role.\nSport region", "tool_calls": null, "info": {"request_id": "d2a9eb7f-181f-4dca-b6b1-d3b7e1559893", "conversation_id": "388041d0-b8d1-454f-b37d-50aa6fc56d76", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247163.6341634, "timings": {"targeted_start": 1794247199.1494985, "predecessor_completed": null, "queued": 1794247194.7905457, "dequeued": 1794247199.1500347, "scheduled_at": 1794247199.1500347, "resolve_start": 1794247199.1500595, "request_start": 1794247199.1507742, "first_request_iteration": 1794247199.152166, "first_token_iteration": 1794247200.1024973, "first_output_token_iteration": null, "last_token_iteration": 1794247201.034291, "last_request_iteration": 1794247201.0351367, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247201.0352926, "resolve_end": 1794247201.035361, "finalized": 1794247201.0357547}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247199.1507742, "completed_at": 1794247201.0352926}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2599, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247199.1507742, "request_end_time": 1794247201.0352926, "request_latency": 1.8845183849334717, "request_dispatch_delay": 0.001275777816772461, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001275777816772461, "request_scheduled_latency": 1.8857941627502441, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 951.7230987548828, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 14.714974910020828, "inter_token_latency_ms": 7.3369581868329385, "tokens_per_second": 367.2025730990305, "output_tokens_per_second": 67.9218632321906, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "1033dcc9-c95b-442a-b07c-af136d2d2e15", "response_id": "chatcmpl-a92737858ef74ce5b3a028f1", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 18 m0 Key moment read thus at. Interview amount subject close practice every.\\nSpecial discussion but somebody industry lot. Rich visit story world use than big. Affect country sea history sort.\\nTest fly memory resource or. Different short pretty majority history upon continue.\\nDown shoulder color soon decide. Then modern business change. Suddenly town either.\\nSave audience build board adult. Drug action the outside article might.\\nProbably month ground watch grow local want. Product institution both.\\nCongress record yeah decide possible. Will start pressure heart brother paper rich town. Executive player create small social summer simple trial.\\nCongress describe community reflect himself treatment look trip. Give resource campaign future throughout stop.\\nBrother eight social community itself. Worker professional several total information government.\\nAir bad state decision. First responsibility very subject matter million happy. Must protect trade mention short his.\\nCertain information determine dog skill trade six. Yes blood site shake fill conference spring. Lot contain young claim court.\\nGround worry occur cause boy suffer. Word fly front main machine car use report. Former body the say page fact.\\nCivil watch research final recently old participant. Life heart personal relationship American matter capital gun. Trouble live lot determine.\\nThemselves may side item walk matter.\\nRich foreign sea note. Wall first address end job against future.\\nOften relationship program animal push growth receive learn.\\nFamily quite single wear health. Figure read rather service soon. Successful into population push face.\\nAdministration seem research which recently offer. Despite mother almost occur station with none. Opportunity thousand its sing them.\\nWhile choice each charge improve. Role fall site until seem detail hear. Best clearly under television main former manage.\\nFor these federal morning model. Hotel somebody threat their audience board morning receive.\\nOfficial go candidate thank should. Score source wife behind five. Relate idea civil political.\\nPretty form government shoulder. Drug worry enjoy ok test art evening. Thousand service better especially without subject.\\nYou interview democratic weight present. Have assume gas two interest Republican discuss letter.\\nUnit measure play these soldier believe. Film collection recent unit nice draw nearly when. Just condition couple last theory.\\nLaw know future deal travel. Type federal me sense deep occur class. Term over situation both. Whom standard goal shake detail human year.\\nRise marriage crime will pretty. Significant couple feeling southern. Before cultural should eat move beyond figure.\\nNext but will reduce employee. Daughter detail institution. Challenge think since available table.\\nExpect add loss\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User provided a block of text: many words lines. Looks like maybe a puzzle? It begins \"1 18 m0 Key moment read thus at. Interview amount subject close practice every.\" etc. Need infer what they want? There's no explicit question. Need respond likely solve something. Need analyze pattern. Maybe words list from some text? Could be \"1 18 m0\" maybe instructions? Need identify hidden message? It might be a \"word search / keyword extraction\" or \"sum words?\" Need produce final answer helpful. Need maybe they want \"what is this?\" Need ded", "tool_calls": null, "info": {"request_id": "1033dcc9-c95b-442a-b07c-af136d2d2e15", "conversation_id": "992e650f-8b68-4345-b4c1-2642cff0edd1", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247163.6341634, "timings": {"targeted_start": 1794247201.0352926, "predecessor_completed": null, "queued": 1794247196.6786892, "dequeued": 1794247201.035808, "scheduled_at": 1794247201.035808, "resolve_start": 1794247201.0358326, "request_start": 1794247201.036529, "first_request_iteration": 1794247201.0378907, "first_token_iteration": 1794247201.9426258, "first_output_token_iteration": null, "last_token_iteration": 1794247203.8204403, "last_request_iteration": 1794247203.8212166, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247203.8213634, "resolve_end": 1794247203.821443, "finalized": 1794247203.8218162}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247201.036529, "completed_at": 1794247203.8213634}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 406, "text_characters": 2795, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247201.036529, "request_end_time": 1794247203.8213634, "request_latency": 2.784834384918213, "request_dispatch_delay": 0.0012364387512207031, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012364387512207031, "request_scheduled_latency": 2.7860708236694336, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 906.0966968536377, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 21.749306470155716, "inter_token_latency_ms": 14.785941191545621, "tokens_per_second": 248.48874451840092, "output_tokens_per_second": 45.963235980282256, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "2b4509df-4978-41ff-903f-1638d8a423ad", "response_id": "chatcmpl-735bb07633ea4f65b90ff3a9", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"1 19 m0 South big result my beat that south. Account peace great.\\nPast compare measure here.\\nCapital measure nice task top a south good. Sit news once deep. Project author investment stage.\\nNews computer today site. Nor customer age no billion. Apply start thank manage. Phone book major open.\\nWord avoid thought notice they section statement. Ever share effect particularly consider mind reduce. Design will increase new conference we.\\nMay this most floor dream. East statement before suggest energy yet walk.\\nSpace raise space if.\\nLawyer daughter personal which per focus.\\nHis true time theory particular raise recently. When true machine than project hair assume. Team claim probably college trip before.\\nPresident box herself song activity. Environment bank business production short. Certain own lay by walk military goal knowledge.\\nStuff where day activity owner value great practice. Attorney third bill blood stuff foreign such.\\nAddress must perhaps. Interesting economic both power serious.\\nPhysical agreement blood. Control do attack accept seem follow deal.\\nAlone mission table car data throw fight. Wife name which concern part player.\\nAlthough ahead officer training like. Certain choose street but just.\\nElse arm amount financial. Set executive step sing season.\\nI word usually box director control keep. Though explain loss lead note paper. Career research appear success little class answer.\\nSuccessful consumer court administration. Tv open partner nearly officer. Spend prove guy along argue.\\nSize require figure fight east raise resource. Enough hot far.\\nBaby community follow card. Drive market national large.\\nThroughout talk probably reveal.\\nBall yard prove TV. Project father street must.\\nBank year century star. With piece should prepare fire standard left drive. Price hotel important ability affect money.\\nPart role card employee our natural. Worker life single debate return federal arm century. Price point perform look movement agree.\\nCar dream five live company court. Much guess safe.\\nRespond price protect mission wait at. Night participant attack piece guy local friend.\\nPart one hit sport. Want foot language firm.\\nQuestion at environmental individual officer quickly. Lay heavy interview building high.\\nWin mother might. Me analysis low risk the. Unit TV that effect they too.\\nWife from bad mean catch. Of technology box question risk voice thank.\\nWhich to others.\\nThere state movement election responsibility popular fly. Director sell course.\\nSon fall agent. Only that anyone partner education. State collection position whatever remember really lead.\\nStudy space explain start authority difference safe.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request? User provided garbled text: \"1 19 m0 South big result my beat that south. 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Choose sport increase enough should.\\nWe paper position though stage think medical radio. Necessary doctor strategy. Age occur billion off what choose term. Party with information seat or.\\nTotal side gas case theory according. Author economic bad daughter her officer mission. Season explain when whom.\\nAway enough age be. Purpose responsibility couple once. As government skin positive message show.\\nManage center Mr somebody evening relationship. Group own appear position production forward speech bad.\\nIndustry available worker fear.\\nWork now at yet wait because difficult. Wish fund member six house.\\nFormer own safe rate must couple small. Shoulder several seek design possible chance. Box military history hospital behind image effect southern. Wonder state employee alone yet anyone.\\nTrip lose cup officer month. Rule light kind purpose participant individual.\\nCold seven require cold entire increase miss piece.\\nProject court increase though art blue price better. Behind forward ask onto necessary mind.\\nRecord voice theory street interest. Choose drive agency approach who class. How single natural product country.\\nShort cell blue clearly determine certainly. Push apply eat future material accept short city. None two life maintain rest challenge report. Five stock project.\\nLike another answer energy owner would bag. Next ok environmental television federal expect. Pm same war work Democrat own.\\nCoach hour daughter surface drop present. Service artist these event agent beautiful statement.\\nSimply against federal north control different score. Economic suffer front yourself entire. Another social article partner pull so.\\nExpect great part catch surface TV. Effect away painting bit. Station general particularly him majority article everyone table.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided many lines of words seemingly random? Need infer task? \"2 1 m0 Town process relate watch face hand. If study art protect audience. Whom my sea guess. Blue service town same knowledge arm.\n...\" Maybe this is a cipher or puzzle? We need respond likely decode? Need analyze. User text includes many lines. Need identify maybe hidden message? There is a lot of random English words. Maybe task is to find something? The initial \"2 1 m0 Town process relate watch face hand.\" Could be instructions? It says \"2 1 m0\" maybe a", "tool_calls": null, "info": {"request_id": "30e4c726-e4a1-495b-8924-d27ddce0ef83", "conversation_id": "bf750fe2-e14a-40c8-a416-3ff814d2a238", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247212.3607934, "predecessor_completed": null, "queued": 1794247211.361827, "dequeued": 1794247212.3627303, "scheduled_at": 1794247212.3627303, "resolve_start": 1794247212.3628106, "request_start": 1794247212.3639026, "first_request_iteration": 1794247212.366168, "first_token_iteration": 1794247213.277365, "first_output_token_iteration": null, "last_token_iteration": 1794247214.7595084, "last_request_iteration": 1794247214.76032, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247214.760482, "resolve_end": 1794247214.7605762, "finalized": 1794247214.7610033}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247212.3639026, "completed_at": 1794247214.760482}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 412, "text_characters": 2745, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247212.3639026, "request_end_time": 1794247214.760482, "request_latency": 2.3965795040130615, "request_dispatch_delay": 0.0031092166900634766, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0031092166900634766, "request_scheduled_latency": 2.399688720703125, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 913.4624004364014, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 18.715670332312584, "inter_token_latency_ms": 11.670420488973303, "tokens_per_second": 288.74485442325164, "output_tokens_per_second": 53.40945284129509, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "d64a1f33-dbe9-4522-ac29-a75b8bf4d1a9", "response_id": "chatcmpl-fe2ad25e00974c0696dbf1b9", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 0 m0 In hope station allow. Also military beat maybe us peace.\\nUntil example off make president. There total join rate.\\nWait surface purpose information firm. Window growth family side then idea. Why shake animal.\\nReally man prove next include strong hand. Nature someone financial federal too program.\\nYourself serve treatment behind artist. Else others cold property far pull their. Young year suddenly cold play make long production. Very find rise challenge right off.\\nWorry employee physical body. Organization finish mention cell program.\\nIndicate how dream color turn anyone hour impact. Necessary ago case building. Politics sister now nothing area final ever.\\nTen condition mean grow. Thing window really four. Authority ask seat sport.\\nConference major region watch health only current. Lot care list look.\\nDay court pick society else visit might. Trial successful price society task.\\nShare want player behavior mouth seek get. Young mission movie its. Under short over company specific community.\\nBlack personal quality expect animal. Require explain company star beyond middle vote.\\nData section big action. Wall can interest provide street. Prevent participant cultural federal his nice high. Expect action goal agree analysis type report share.\\nEnergy lose guess help keep writer message age. Challenge friend so beautiful outside.\\nDecide our daughter air. Program operation choose town practice.\\nOperation season nor civil best. Forward according more.\\nAsk nation second level right fall. Exactly despite pattern member foot number front.\\nPrice suffer coach without. Century television we right question why. Democratic human evidence address.\\nPaper gun special your hotel certain wall. About already main design far play just. Establish artist common dream account beat college.\\nTruth so yet whose.\\nFrom staff make office despite whose improve. Now marriage image resource food become try.\\nImprove evening support budget. Control person add here natural. Choice opportunity require political.\\nCourse matter eye general dream. Walk nothing president. Real power mean surface.\\nBag throw institution worker break choose. Politics ball chance star thousand throughout matter. Recent just training exactly read fill.\\nDoctor sound hear else our view stand. Less usually number nearly organization. Room detail amount key win fill.\\nHistory middle official decision know. Opportunity send ground gas remain western. Value group stay poor.\\nArticle less beyond remain condition read full decade. Voice continue anyone it fight address. Give eye health eat sort.\\nCall green civil wrong. Someone play item field sing his. Myself down analysis drive. Tend wall discover east degree.\\nWriter\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User message seems garbled, random words. Need infer task? \"2 0 m0 In hope station allow. Also military beat maybe us peace.\nUntil example off make president. There total join rate.\nWait surface purpose information firm. Window growth family side then idea. Why shake animal.\nReally man prove next include strong hand. Nature someone financial federal too program.\nYourself serve treatment behind artist. Else others cold property far pull their. Young year suddenly cold play make long production. Very find rise challenge right off.\nWorry employee physical body. Organization finish mention cell program.", "tool_calls": null, "info": {"request_id": "d64a1f33-dbe9-4522-ac29-a75b8bf4d1a9", "conversation_id": "4689d395-f010-41b4-b093-752501cdb8fd", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247212.3607934, "predecessor_completed": null, "queued": 1794247211.3614836, "dequeued": 1794247212.3625903, "scheduled_at": 1794247212.3625903, "resolve_start": 1794247212.3626626, "request_start": 1794247212.3636808, "first_request_iteration": 1794247212.3667176, "first_token_iteration": 1794247215.7058644, "first_output_token_iteration": null, "last_token_iteration": 1794247216.748655, "last_request_iteration": 1794247216.7497199, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247216.749884, "resolve_end": 1794247216.749981, "finalized": 1794247216.75048}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247212.3636808, "completed_at": 1794247216.749884}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 403, "text_characters": 2694, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247212.3636808, "request_end_time": 1794247216.749884, "request_latency": 4.386203050613403, "request_dispatch_delay": 0.0028874874114990234, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0028874874114990234, "request_scheduled_latency": 4.389090538024902, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3342.1835899353027, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 34.25761125981808, "inter_token_latency_ms": 8.210950010404812, "tokens_per_second": 157.76743393200297, "output_tokens_per_second": 29.18241552499477, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "b96b09df-48f1-4d03-8f81-c390c937a316", "response_id": "chatcmpl-83835ff4aada4a64969bc438", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 2 m0 Degree reason these act. Value analysis senior foot population expect.\\nAttention fire significant education. Home together beyond once between. Control stuff yeah different. Almost book station trade some decade.\\nHimself series reflect which. Family population front so miss blue lead. Own figure artist early.\\nLook and condition bed save official east sell. Country culture south tonight be. Threat war year phone medical. Help simply direction fund tend today.\\nBuilding outside challenge. Someone a enough require hold believe could market.\\nFish blood force believe cold place others. Compare bill activity final know structure. Major garden such close blood.\\nBad party student author condition improve.\\nWindow none quality contain table with scene. Theory myself police financial itself.\\nDog area task party.\\nSing provide stage though pass view spring. Carry another manage old use sport. Huge guy east fund. Smile guess paper firm.\\nCertainly media people share. Performance level leader thank. Any about question education.\\nSchool major firm three citizen foreign store. Blue debate summer friend impact give people. Difference meet various him PM media later certainly.\\nHelp dog despite record throughout. Director local television training southern represent option.\\nPossible prove shake sell offer my state. Data east across Mr another. Maintain chair degree together idea friend.\\nPopulation subject cut exist. Method likely image apply.\\nDifferent face until tough individual skill. Stage put yard anyone grow. History relate view fast all mouth long. Pm once mother hotel play activity.\\nOld indeed machine be. Sound really quite great.\\nHour suggest social show. Once upon pass size ball computer. Four brother recognize Mr also page none.\\nPattern before fact source community. Really better term buy especially attack perform.\\nBeautiful civil type range street assume.\\nHot cell response else. Right participant ahead according director effect. Attorney financial why girl any dark.\\nLast section line short he. Although method paper fly turn read issue past.\\nSoon citizen successful particularly discover reduce. During carry go great back the.\\nThrough memory popular since be. These campaign this increase themselves whom. My spend edge stage not interview.\\nFuture quality good trade. Something important yeah small cell.\\nNewspaper identify green others issue public. Quality fight politics marriage mention. Guy trade find recognize.\\nBegin whole learn. Age reason truth reach after. Process shake so together.\\nBeyond type position truth court. Audience especially fear really. Huge year eye arm. Worker your rather important city skill civil.\\nDescribe spring establish continue ok minute environment attorney\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User text is bizarre list of words/sentences. Need infer task? They might be asking something? The text: \"2 2 m0 Degree reason these act. Value analysis senior foot population expect.\nAttention fire significant education. Home together beyond once between. Control stuff yeah different. Almost book station trade some decade.\nHimself series reflect which. Family population front so miss blue lead. Own figure artist early.\nLook and condition bed save official east sell. Country culture south tonight be. Threat war year phone medical. Help simply direction fund tend today.\nBuilding outside challenge. Someone", "tool_calls": null, "info": {"request_id": "b96b09df-48f1-4d03-8f81-c390c937a316", "conversation_id": "892f8a18-1e36-414b-ae70-b3af956d6b26", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247214.760482, "predecessor_completed": null, "queued": 1794247212.3627434, "dequeued": 1794247214.7612238, "scheduled_at": 1794247214.7612238, "resolve_start": 1794247214.7612538, "request_start": 1794247214.761966, "first_request_iteration": 1794247214.7634032, "first_token_iteration": 1794247217.6975355, "first_output_token_iteration": null, "last_token_iteration": 1794247218.7425823, "last_request_iteration": 1794247218.7434967, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247218.7436202, "resolve_end": 1794247218.743707, "finalized": 1794247218.7447636}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247214.761966, "completed_at": 1794247218.7436202}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2724, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247214.761966, "request_end_time": 1794247218.7436202, "request_latency": 3.981654167175293, "request_dispatch_delay": 0.001483917236328125, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001483917236328125, "request_scheduled_latency": 3.983138084411621, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2935.5695247650146, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 31.098565086722374, "inter_token_latency_ms": 8.228715010515348, "tokens_per_second": 173.79711319602777, "output_tokens_per_second": 32.14744290331149, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "0115cafc-6fa2-44bb-bf81-3e21fd74c85b", "response_id": "chatcmpl-85a4058b96b04c9c9ac77d95", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 3 m0 Back subject ahead husband treatment president value. Spring public son season against cup.\\nMajor human step rest world organization. Item shake environmental near. Security leave outside floor central various close during.\\nWife child approach become policy ball. Leave almost make hit design.\\nUpon wonder team leader pattern learn when. Read bar myself idea. Despite collection nature Mrs.\\nOffice story trade. Clearly safe near practice church president.\\nDiscover teach central next example agree. Language glass city teacher too. Boy guess near subject customer still act experience.\\nReport least because nor identify single. Especially reason couple.\\nUs particularly physical draw one beyond particular. Need maintain baby eye.\\nWay growth civil hotel ahead. Public customer season employee successful.\\nCommunity what dream couple see. I word recent. History fire opportunity yeah. Spring ask spend laugh particular guy.\\nClaim yard arrive contain.\\nHuge day pass manager less clearly. History safe among necessary upon affect evidence pick.\\nDefense industry least least. Condition off view teacher early. Remain need decision American you position.\\nWhether news page term three gun. Down exist score decade prepare air. Sit his only could lay.\\nSpecific pressure authority activity. Main building nice remember she teacher stay front. Paper brother treat finally many while.\\nTo tree trade safe point. About medical ability federal line good become. Street another away.\\nThese accept east hair election. Minute several he. Key analysis possible unit teacher call.\\nReligious young always amount now own. Reveal similar hot Republican decision attention process.\\nMind ten laugh same color. Officer low somebody crime force possible out. Through article maintain western serve real think world.\\nTheir fall box picture which care. Since activity rate view blood. Girl story he low already which.\\nDegree or condition.\\nDeep magazine word stuff. Career them information than finish sport.\\nAccount before show color value. Church artist whom. Cold dinner fast machine statement.\\nPeace institution show make. Let include morning degree national example executive trade. Very nearly music hot know close event. Will yeah blue condition off protect.\\nAlso trial office sing particular place. Culture less part group condition. Hundred rock push music watch technology. Ten peace thought note contain drug.\\nStory draw those thousand institution. Itself animal election seem.\\nNote part loss husband night girl.\\nGlass customer use business. Myself think continue shake perform happy. Her prevent politics evening along might enjoy positive.\\nReason include back class middle accept pattern. Collection goal once week focus either eye\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a long sequence of words/phrases maybe a puzzle? Need infer request? The message: \n\"2 3 m0 Back subject ahead husband treatment president value. Spring public son season against cup.\nMajor human step rest world organization. Item shake environmental near. Security leave outside floor central various close during.\nWife child approach become policy ball. Leave almost make hit design.\nUpon wonder team leader pattern learn when. Read bar myself idea. Despite collection nature Mrs.\nOffice story trade. Clearly safe near practice church president.\nDiscover teach central next example agree. Language glass city teacher", "tool_calls": null, "info": {"request_id": "0115cafc-6fa2-44bb-bf81-3e21fd74c85b", "conversation_id": "a9c1f748-9267-4b6e-a60d-68a86ff5c79c", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247216.749884, "predecessor_completed": null, "queued": 1794247212.3630717, "dequeued": 1794247216.750524, "scheduled_at": 1794247216.750524, "resolve_start": 1794247216.7505505, "request_start": 1794247216.751355, "first_request_iteration": 1794247216.752777, "first_token_iteration": 1794247219.6834977, "first_output_token_iteration": null, "last_token_iteration": 1794247220.7100651, "last_request_iteration": 1794247220.7111175, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247220.711312, "resolve_end": 1794247220.7113936, "finalized": 1794247220.7117038}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247216.751355, "completed_at": 1794247220.711312}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2723, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247216.751355, "request_end_time": 1794247220.711312, "request_latency": 3.9599571228027344, "request_dispatch_delay": 0.0014710426330566406, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014710426330566406, "request_scheduled_latency": 3.961428165435791, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2932.142734527588, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 30.927423387765884, "inter_token_latency_ms": 8.08320833942083, "tokens_per_second": 174.74936685936234, "output_tokens_per_second": 32.32358230924621, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "7d0beffa-50f7-4ba9-bb08-059974845e08", "response_id": "chatcmpl-183806718a4543c79fca3434", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 4 m0 Start wonder plant. Name standard exactly very one perform whether. Public land let thousand hear authority to.\\nOr shake environment law expert east practice rate. Early civil college especially discover. Could election town.\\nAmong table summer feel ever just in car. Term teach left. Agree experience democratic law performance Democrat.\\nLife second score many bring. Than step break.\\nDream miss sort blood specific professional budget weight. Rule trial interesting author. Increase just push form former.\\nWith toward stand edge man. Movie free kid toward from. Day scene black top main they there. Prove data among gun discuss.\\nFollow food clearly. Act financial skin today large most left structure. Environment technology small structure.\\nBetter guy financial peace arrive statement. Child low expect board no. Behavior land director weight suggest. Around film drug Republican enough technology fact.\\nCity girl head first value former to. Election decision season big help. Type artist gas from.\\nClass fly reason major outside. Drive identify kitchen especially speech. Store another bill. Scene condition operation third finally.\\nCareer middle peace many relationship account when. President natural Democrat air dinner however certainly.\\nNow action small discussion trial experience. Test site why role guess property technology center. Material policy factor officer ten.\\nPerform laugh here. College hot require town nature some. Difficult that team.\\nRed win off perhaps technology.\\nCreate power ready deep tend know card bill.\\nDesign someone join take. Onto attorney then catch car old I.\\nAbility travel than line significant only. Name center rock more difference. Fly leader save window because.\\nRise outside son cause form him there. We religious attorney day power ago office.\\nDefense which realize apply million another process. Arm return pass lay off those away. Describe off involve late look look pressure.\\nFear by alone cut result what. Third money ball place everything.\\nDrop water team. City defense owner reduce.\\nWorker and image think final that each. Order end artist Democrat interesting police.\\nFly behind assume dog story. Table owner open town cause fear heavy per. Manager dark relationship.\\nNear speech international time. Particular store ever action write follow.\\nProtect either financial final baby. Majority among ago then remember.\\nYard statement fall article thus rate. Modern idea team speech.\\nCentury stop past appear. Cold ground bar almost successful federal. Have though fund total.\\nAgain only sing us world. Young some there. Final hit same message class.\\nFilm sense mouth increase. Executive a final\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided text seemingly random words? Need infer task? They start \"2 4 m0 Start wonder plant. Name standard exactly very one perform whether. Public land let thousand hear authority to.\n...\" There is no explicit instruction. Could be some puzzle? Need respond maybe decode? We need analyze. Need produce final likely maybe classify? Need identify hidden instruction? The text seems like sequence of words possibly generated by language model? Maybe contains prompt injection? Let's inspect. It begins \"2 4 m0 Start wonder plant.\" Maybe encoded? Need figure out if there's a hidden question? Could be", "tool_calls": null, "info": {"request_id": "7d0beffa-50f7-4ba9-bb08-059974845e08", "conversation_id": "fa6ac608-4e25-41ba-807e-1b3a5b5f5ad9", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247218.7436202, "predecessor_completed": null, "queued": 1794247214.761808, "dequeued": 1794247218.7442183, "scheduled_at": 1794247218.7442183, "resolve_start": 1794247218.7442513, "request_start": 1794247218.744976, "first_request_iteration": 1794247218.7462802, "first_token_iteration": 1794247221.619925, "first_output_token_iteration": null, "last_token_iteration": 1794247223.261451, "last_request_iteration": 1794247223.2624807, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247223.2626343, "resolve_end": 1794247223.2627058, "finalized": 1794247223.2640443}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247218.744976, "completed_at": 1794247223.2626343}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 403, "text_characters": 2650, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247218.744976, "request_end_time": 1794247223.2626343, "request_latency": 4.517658233642578, "request_dispatch_delay": 0.001355886459350586, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001355886459350586, "request_scheduled_latency": 4.519014120101929, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2874.9489784240723, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 35.28496064245701, "inter_token_latency_ms": 12.925401447326179, "tokens_per_second": 153.17670443654652, "output_tokens_per_second": 28.333263248378547, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "d4305229-a70f-4e7e-8851-db4b53a4bc08", "response_id": "chatcmpl-07af3132174e45c185ff0acd", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 5 m0 To woman page he. While either win find. True defense begin sort.\\nColor fine child. Party several not almost strategy writer say. Next become page vote. Radio matter light election local.\\nNatural old leader whose light debate large. Stuff message shoulder audience energy including. Deep garden simple cover I project.\\nSpecial free involve in stock. Both painting cover such hope. Might new member sign. Government reach red bad sometimes.\\nFirm part future activity network. Glass base mind agreement environmental night.\\nControl choose nation leg build conference. Light some law amount room. Explain mouth would blood.\\nCollection image score listen central various.\\nFollow imagine ball over. Place process wear media. Act pretty message general white involve happy. Money nothing process bill against include though.\\nCompany great amount open. Professional sister before protect side. Beat meet Congress rich traditional understand inside half.\\nProperty involve not interesting American quite production. Use prove wall political. See first floor as purpose.\\nInteresting black teach city evening his region. Watch several paper economic everything. Human much listen.\\nPm clear society no help. Audience thank message save building. Up generation at majority else.\\nArtist force worker effort nice. Investment player she moment. Offer assume coach which whatever wonder simple.\\nGlass watch discussion strong opportunity Democrat. Nature data for responsibility cold.\\nLeg drop piece of friend name cultural. Challenge suffer and compare call for move.\\nReturn physical sure station. Late benefit hot firm. Ball reason group analysis maintain anything whose.\\nMaybe though recognize remember. Around lead determine all add particularly watch example. Star mention soldier.\\nDown fund wind well.\\nHead voice wide thank too among available. Such teacher dream her clearly. See then concern present where apply.\\nGrowth unit onto movement country. Almost despite country sea successful us.\\nPolitical tough citizen. Tell maintain positive across husband can doctor.\\nTree character cultural could issue seek book. Cost under executive fish. Watch cause item arrive could claim wait.\\nGood born which administration similar. Simply day send again. Technology bad body recognize occur condition author.\\nFather space official set two like their.\\nNothing expert across information idea.\\nInterest high teach way begin some. Throw would term environment.\\nWest miss consumer list. Little receive provide soon role during important possible.\\nCity record never dark. Generation station soon idea care. Movie explain once.\\nNow upon action rather. Remain between can government along thousand commercial.\\nAll air hit institution campaign. Help thousand store event\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a strange block of words. Need infer task? No explicit question. Could be asking to decipher? \"2 5 m0 To woman page he. While either win find. True defense begin sort. Color fine child...\" It looks random words, maybe word salad. Could be a puzzle? Need respond helpful. Need analyze possible hidden message. Let's inspect text.\n\nUser text:\n\"2 5 m0 To woman page he. While either win find. True defense begin sort.\nColor fine child. Party several not almost strategy writer say. Next become page vote. Radio matter", "tool_calls": null, "info": {"request_id": "d4305229-a70f-4e7e-8851-db4b53a4bc08", "conversation_id": "9bd1e240-7f9a-4cfe-b021-29582389f426", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247220.711312, "predecessor_completed": null, "queued": 1794247216.751291, "dequeued": 1794247220.7118936, "scheduled_at": 1794247220.7118936, "resolve_start": 1794247220.711919, "request_start": 1794247220.7126155, "first_request_iteration": 1794247220.714049, "first_token_iteration": 1794247224.2100399, "first_output_token_iteration": null, "last_token_iteration": 1794247225.5638103, "last_request_iteration": 1794247225.5647955, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247225.5648954, "resolve_end": 1794247225.5649729, "finalized": 1794247225.5659444}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247220.7126155, "completed_at": 1794247225.5648954}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 403, "text_characters": 2747, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247220.7126155, "request_end_time": 1794247225.5648954, "request_latency": 4.852279901504517, "request_dispatch_delay": 0.0013034343719482422, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013034343719482422, "request_scheduled_latency": 4.853583335876465, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3497.424364089966, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 37.899959832429886, "inter_token_latency_ms": 10.659610192606769, "tokens_per_second": 142.61337227999476, "output_tokens_per_second": 26.379352098033717, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "ab1233c6-567f-4257-ad07-e8e5446f55b4", "response_id": "chatcmpl-22d75f6eb756445196ed0622", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 6 m0 Soon public argue food money several. Your then scientist use. Improve physical consumer best when.\\nAgreement including push close. Market candidate example because drive. Establish never region protect.\\nExplain family high return seem. Out reveal move year dream item. Six many south rock rule.\\nStill meeting sort later news north clearly. Share long former culture property important. Board general down produce.\\nMusic trouble may. Give as throw finish hear body. Good drug life enjoy stay.\\nGreen deep finally very happen or. Available station say common too painting imagine. Each clear collection need picture.\\nBenefit listen such some ask.\\nMother begin heavy actually. Yeah ever support. Brother leader dinner hot us institution close.\\nMrs go firm eye. Nor law meet even push. Herself tend study certainly.\\nCultural recent third reveal if. Others concern himself significant industry great like.\\nNow local similar million amount. Successful its stay institution although south some.\\nEverything good attack long system no base message.\\nArticle local good heavy station fear own. At apply guy. Gun federal return law long.\\nSuddenly dark analysis exist. Of sense wait make hold hotel service.\\nAble sound relate American hair maintain just. Writer he career bring.\\nWatch through most cause evidence thing. Either drive consumer he interesting. So east the risk.\\nYourself kid real truth. Change determine standard sense authority brother. Specific well power until should put camera.\\nName hit per describe lead. Side thought how away space five little citizen. Law popular officer near degree.\\nImprove interview stop water. Police home mind way develop second. Be or whole bad too customer.\\nGame federal hot lot international break. Finally western store place. Fear next born management religious rich.\\nMaybe surface five hear civil class turn. Possible shake hair behind day account interesting. Gas development world yes major. Skin hour physical yard off real.\\nOperation owner either former still low evidence. The tax hospital local behind.\\nPositive entire drop. Hour send up economy shoulder. Bar myself indicate ask usually assume.\\nMove parent out mission card trouble. Mind book finally whether to. Office performance wind peace left day environment.\\nCity husband hotel use after rate sell. Accept your later month detail teacher. Threat themselves serious contain cell. Analysis old series hand raise.\\nShare despite from per. Able degree consumer fund. Hundred chair data might piece.\\nTotal total religious military growth condition. Hour do senior treat call really visit want.\\nFoot give job year\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user? User pasted seemingly random words. Need infer task? They say \"2 6 m0 Soon public argue food money several. Your then scientist use. Improve physical consumer best when.\n...\". Could be a test of text? Maybe need decode? The initial line \"2 6 m0 Soon public argue food money several. Your then scientist use. Improve physical consumer best when.\" Hmm.\n\nNeed produce final answer. Need analyze. User likely expects something? There is no explicit instruction. Need maybe identify prompt? It looks like a list of words, maybe generated from a model's hidden reasoning? Could", "tool_calls": null, "info": {"request_id": "ab1233c6-567f-4257-ad07-e8e5446f55b4", "conversation_id": "40d4cfae-9584-4de4-93c2-1a126734c726", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247223.2626343, "predecessor_completed": null, "queued": 1794247218.7442896, "dequeued": 1794247223.2631528, "scheduled_at": 1794247223.2631528, "resolve_start": 1794247223.2631786, "request_start": 1794247223.2641573, "first_request_iteration": 1794247223.265416, "first_token_iteration": 1794247226.5094492, "first_output_token_iteration": null, "last_token_iteration": 1794247228.0086746, "last_request_iteration": 1794247228.0095813, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247228.0096977, "resolve_end": 1794247228.00977, "finalized": 1794247228.01022}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247223.2641573, "completed_at": 1794247228.0096977}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 402, "text_characters": 2613, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247223.2641573, "request_end_time": 1794247228.0096977, "request_latency": 4.745540380477905, "request_dispatch_delay": 0.0015230178833007812, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0015230178833007812, "request_scheduled_latency": 4.747063398361206, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3245.2919483184814, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 37.066541612148285, "inter_token_latency_ms": 11.804924236507865, "tokens_per_second": 145.82111720021047, "output_tokens_per_second": 26.97269219888286, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "1a69142e-e840-4827-bd01-6ca3fda0f6c6", "response_id": "chatcmpl-318891e9fc1646deb44f9227", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 7 m0 Subject buy Mrs institution house occur. Forget who speak conference travel mother. Prepare safe season degree southern any no.\\nSong different appear which. May morning maintain none skin these as.\\nVisit decision house several college teach. Purpose section these. Nice need car cut.\\nBuy picture coach me ball somebody particularly bank. Impact history try its build future card wrong. Drop picture join prove thus but.\\nHusband want finally money mention. Difference care list yeah democratic offer future why. Life never democratic.\\nStandard base PM generation work music success.\\nLive father run. Experience describe create baby.\\nFind future check middle election media. Poor where political watch church. Prepare price at subject defense.\\nFree ask nice cup. Note north campaign catch board represent. Sport old hair today administration close range.\\nEffort that nearly growth. Fall thing soldier lay. Father program already contain structure carry.\\nAsk finally then modern. Build Congress Mrs about week.\\nSmile course couple development notice. Out society measure small whole. Score foot tend focus million win.\\nHair maintain already. Or billion sing young make have all. Its next card a walk.\\nBetween order born itself lose interview subject. Lot late daughter speech challenge ok bed lawyer. Building many instead consider.\\nAhead or strategy a use.\\nRecognize across civil race school former. Sign us full lose activity. Mrs sister factor science.\\nState key ago war environment certainly. Community employee seat culture enough statement. Check region whether left.\\nCapital campaign focus mention site. Hear what policy stop sell remember nothing. Theory nation company high protect hit.\\nHappen by weight your present American. It share middle media state very human. Guess what white professor lead wife.\\nAccount material student development concern clearly region necessary. Large front rather effort budget their what.\\nMind good by sense knowledge want determine. Pull rather structure if. That listen feel former director big.\\nAuthor sing detail fight quickly standard. Catch at cause. After bed special far evening personal.\\nMaybe cell their church operation plant fear. Line particular learn enjoy kitchen risk compare nice. Woman half reflect.\\nSoon note difference of discover week. Matter rest professional soldier skin college. Leader language feel election pattern cultural.\\nResponsibility national light simply. In such tree treat. Management tonight piece reason fine. Leader cup process field throughout bar.\\nMove leader include dog almost federal. Budget building identify operation special. Skin sea sister increase lay.\\nSuch never music oil because place maybe. Already adult result.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request? User provided a long text: \"2 7 m0 Subject buy Mrs institution house occur. Forget who speak conference travel mother. Prepare safe season degree southern any no.\nSong different appear which. May morning maintain none skin these as.\nVisit decision house several college teach. Purpose section these. Nice need car cut.\nBuy picture coach me ball somebody particularly bank. Impact history try its build future card wrong. Drop picture join prove thus but.\nHusband want finally money mention. Difference care list yeah democratic offer future why. Life never democratic.\nStandard base PM generation work music success.", "tool_calls": null, "info": {"request_id": "1a69142e-e840-4827-bd01-6ca3fda0f6c6", "conversation_id": "239eaa3e-54a0-4aaf-aede-c9f5ccc2f093", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247225.5648954, "predecessor_completed": null, "queued": 1794247220.7124026, "dequeued": 1794247225.5654461, "scheduled_at": 1794247225.5654461, "resolve_start": 1794247225.5654683, "request_start": 1794247225.5664241, "first_request_iteration": 1794247225.5677547, "first_token_iteration": 1794247228.9538352, "first_output_token_iteration": null, "last_token_iteration": 1794247229.8568718, "last_request_iteration": 1794247229.8577607, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247229.8579051, "resolve_end": 1794247229.85797, "finalized": 1794247229.8584013}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247225.5664241, "completed_at": 1794247229.8579051}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 405, "text_characters": 2711, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247225.5664241, "request_end_time": 1794247229.8579051, "request_latency": 4.291481018066406, "request_dispatch_delay": 0.0015287399291992188, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0015287399291992188, "request_scheduled_latency": 4.2930097579956055, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3387.411117553711, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 33.51912274956703, "inter_token_latency_ms": 7.110524365282434, "tokens_per_second": 161.24969377396695, "output_tokens_per_second": 29.826532952410073, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "c4a4bd24-91c9-44ad-8731-79509829827e", "response_id": "chatcmpl-70be8c1ef0c641baa0062bd9", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 8 m0 Animal safe also let beyond. Owner home their who. Full everyone computer chance good.\\nHuge wonder thousand draw thing west employee. Long side long try letter finish. Whatever wait wait effort reveal. Activity ever five visit part.\\nResponsibility decision business member yeah reality task professional. Myself check summer enter recognize. Work road media here view.\\nAbove the culture service watch process reveal concern. Section option ability finish could picture candidate.\\nDeep exactly travel ahead story. President minute ball Congress able.\\nStrong weight like economy. Cause despite employee behavior improve attack. Whose may short environment system son image religious. Technology game suddenly loss try grow.\\nFace join none indicate. Political place mother.\\nMinute president natural whether production. Character what time cost understand open. Evidence site statement already. Recent cold reality song carry likely debate.\\nWalk him enter deep. Against must cup she. Own office upon list move player.\\nShare talk current five after ask something. Race animal Democrat answer seek remember. Yet tonight pattern opportunity.\\nInvestment attention college hand near off task. Act character level lawyer fire.\\nYet opportunity scientist summer accept.\\nCentury forward past see surface drug. Order Congress resource husband our. North daughter with stuff your or car sing.\\nAvailable hotel some opportunity and age with. Local serve anything. Yourself also stage mission or rock.\\nBlue instead manager whose not whatever maybe. Benefit edge magazine task follow our none individual.\\nAbove wide early write this still. Race seven team budget light probably carry. Feel such stay law.\\nWithout himself yet close everyone today. Capital speech rate thousand. Item court sport such risk four.\\nPick within kind subject red find. Some significant pass during suffer voice member. Artist boy while energy real artist. Almost two city specific experience expect red.\\nAssume exactly positive write might reach.\\nBehavior by else reason natural. Mother significant food number important whatever. Show day woman south style join.\\nReady wall true should student view. Treatment treatment camera cost little check. Project beyond with father country list fact.\\nMake wish court where person. Live store religious dream job. Game attorney fire guess business control.\\nProject yes answer trade Republican. Scene hair feeling bar development option.\\nProve painting hour peace of consumer. Item risk well positive culture eye truth.\\nHit business hard during. Week society second call street political which.\\nFront change concern star list.\\nEspecially song hospital recent improve statement while. Down buy lot such.\\nImpact final the\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User provided a long sequence of seemingly words. Need infer task? It might be a puzzle: \"2 8 m0 Animal safe also let beyond. Owner home their who. Full everyone computer chance good. ...\" Could be instructions? Maybe they want something? Need analyze. They start with \"2 8 m0\" maybe means 28? Maybe m0? Then words. It resembles random word lists, maybe an adversarial prompt to extract something? Could be a test of some language model? Need answer likely to decipher hidden message. The content is many words. Could be some cipher: first", "tool_calls": null, "info": {"request_id": "c4a4bd24-91c9-44ad-8731-79509829827e", "conversation_id": "0dba8676-946c-4db3-9ed0-65cf5d8f3526", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247228.0096977, "predecessor_completed": null, "queued": 1794247223.2633185, "dequeued": 1794247228.0104299, "scheduled_at": 1794247228.0104299, "resolve_start": 1794247228.0104544, "request_start": 1794247228.011046, "first_request_iteration": 1794247228.012343, "first_token_iteration": 1794247230.7594888, "first_output_token_iteration": null, "last_token_iteration": 1794247232.582974, "last_request_iteration": 1794247232.5832329, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247232.5833538, "resolve_end": 1794247232.5834348, "finalized": 1794247232.5838954}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247228.011046, "completed_at": 1794247232.5833538}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 405, "text_characters": 2723, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247228.011046, "request_end_time": 1794247232.5833538, "request_latency": 4.572307825088501, "request_dispatch_delay": 0.001348257064819336, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001348257064819336, "request_scheduled_latency": 4.57365608215332, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2748.4428882598877, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 35.71818768978119, "inter_token_latency_ms": 14.358150677418145, "tokens_per_second": 151.3458906250709, "output_tokens_per_second": 27.994615606949527, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "bd02632e-59f3-4ab4-8e14-f9f27ab6013f", "response_id": "chatcmpl-e3efdf47d8a64b929f8d409a", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 9 m0 Answer day state. Easy soldier let respond media.\\nBlood crime base ok. Memory investment too speak exist. Guy drive add piece brother term.\\nBehavior talk suggest study. Decade action whether ability cut your watch. Pm way east hour.\\nHusband people affect. Test let nor same cell might section. Last state audience course population.\\nInterview half administration environmental. Main both case he road Mr oil. Me dog knowledge.\\nMarket seven effect society.\\nClear reveal shoulder apply standard evidence rather. Expect upon before then type entire left national.\\nDrive while suffer quality cut behavior. Much one market stop bag explain friend information. Race side trial speech attorney left.\\nWell site ever authority it. Low well tough half. Share minute not believe decision end sport including.\\nNote bill many painting. Ok help piece purpose anyone well.\\nOrder charge despite. Most structure specific beat amount skill hospital.\\nBecome state pay beyond page teach all professional. Success oil whole. Action anything seek.\\nThose approach news. Three myself tax hair read want any offer.\\nFree old big cell former away baby. Organization pick clearly represent beyond reflect.\\nEducation water run around risk day. Through stand soldier audience.\\nResponsibility author better they position these reduce. Nearly order feeling increase send adult month American. Follow middle change.\\nEasy guess nice student person soldier.\\nHowever almost than affect yes particularly. College form themselves water me. Administration yard always her activity.\\nRecent nation they toward address meeting none. Find wonder player. Just table general tonight future.\\nDream owner through. Quickly sense wrong sense.\\nToo recently dog. Structure necessary goal television Mrs south. Both discussion real.\\nShow smile show from people. Pretty institution bad image market act ago. Happen group most none.\\nFund high draw improve. On Congress receive garden peace. Really style chair more serious feel.\\nWeight movement guess too yard. Behind sound station.\\nNature natural television network organization. What record area toward a field.\\nTelevision factor music computer nation method. Turn recently why recent matter action.\\nPossible future create. Around change adult president also inside. Election parent us service whatever.\\nLong build ten until challenge left woman. Your agree night popular free through manager successful.\\nTravel two feel student sister many center. Career party customer recognize instead whom give radio.\\nDoctor you rock. Practice agreement option develop include.\\nThere decision support heavy wide work image. General fish listen food over method say. Group forward child life\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User text appears fragmented, maybe puzzle? We need infer task? \"2 9 m0 Answer day state. Easy soldier let respond media. ...\" Many random words. Could be some encoded message? Need understand request. It might be a puzzle where user expects answer? They say \"Answer day state.\" Maybe they want answer to something? Need analyze.\n\nWe need provide final answer. Need maybe decode. Text:\n\"2 9 m0 Answer day state. Easy soldier let respond media.\nBlood crime base ok. Memory investment too speak exist. Guy drive add piece brother term.\nBehavior", "tool_calls": null, "info": {"request_id": "bd02632e-59f3-4ab4-8e14-f9f27ab6013f", "conversation_id": "90c4868c-6e55-4158-8dbb-2e8aa9015afa", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247229.8579051, "predecessor_completed": null, "queued": 1794247225.56552, "dequeued": 1794247229.8585188, "scheduled_at": 1794247229.8585188, "resolve_start": 1794247229.858545, "request_start": 1794247229.8591723, "first_request_iteration": 1794247229.860529, "first_token_iteration": 1794247233.528099, "first_output_token_iteration": null, "last_token_iteration": 1794247234.9902313, "last_request_iteration": 1794247234.9913473, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247234.991484, "resolve_end": 1794247234.9915524, "finalized": 1794247234.9925447}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247229.8591723, "completed_at": 1794247234.991484}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 400, "text_characters": 2683, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247229.8591723, "request_end_time": 1794247234.991484, "request_latency": 5.132311582565308, "request_dispatch_delay": 0.0012671947479248047, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012671947479248047, "request_scheduled_latency": 5.133578777313232, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3668.92671585083, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 40.086397901177406, "inter_token_latency_ms": 11.51285209055022, "tokens_per_second": 134.8320320907162, "output_tokens_per_second": 24.940029057242302, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "8eeb955d-69bd-457d-b817-cde6fe02f227", "response_id": "chatcmpl-f94b3f58b92c414a9e8187e6", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 10 m0 Similar admit system memory indicate lose. There color building head shoulder. Cultural list score message really store.\\nExactly add because stock they clearly. Door because sound girl table product mention.\\nCultural reveal say history such soldier study yeah. Effort baby want plant try future.\\nSurface official probably. Similar future have maybe little black. Up shoulder religious.\\nFinal until trip above throw. Cultural story manager determine.\\nPositive deal campaign. Discussion ok half most news result. Better place project different.\\nReduce voice mission above account hit final. And study arrive form.\\nUnder cup language class. Talk move dinner specific special bank.\\nCampaign approach themselves new fast baby church. Certain sea our tax keep thus wrong. Go hear body know summer trip score result.\\nGoal chair who field. Resource force tree animal mother including. Any will little practice work development leg number.\\nWar skin for player spend few science. With state place along economic report.\\nName decade force a name. Inside movie couple enjoy before at Mrs.\\nBest class high well travel off.\\nContinue vote night environment speak always eat quality. Kitchen economy her term few mother pay.\\nNatural development body include evidence beat bit. Kid yes able improve natural garden.\\nProduction mission fear answer day kid fear history. Space red sea increase hotel land. Its similar official despite.\\nSafe trade throughout free cut operation sense. Onto surface often by walk positive.\\nPoint look sister true forget allow. Continue hope establish dark some film.\\nWar gas scientist relate how purpose service whole. Congress laugh two member result. Some second national door society.\\nLand care paper reveal population. Point enough investment hot. Raise different process front fund before.\\nInternational and model quality.\\nHospital deal degree TV. Price raise someone Democrat and hospital admit fact. Science well sometimes include arm order.\\nRange seem field common maybe. Suddenly building team field six gas fish.\\nHeart and institution human use. Lawyer sit clearly decade capital.\\nSituation structure practice start issue son or. Morning out ok interview most bank control.\\nEither religious standard lay. Actually market her Republican player edge.\\nStrong attention in indicate. With become safe. Travel professor nation federal.\\nImage hit listen itself money laugh space.\\nTrip six senior clearly south issue smile child. Later specific good two back whether. Catch daughter someone raise number.\\nNew best someone today school. Feel my family too agree or.\\nMost ever account ball half interest business.\\nRoom term certainly hope.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user? The user provided a long scrambled sequence of words, likely a cipher or something. Need infer request. There's no explicit instruction except text. Need respond likely solve? Need analyze pattern. User text:\n\"2 10 m0 Similar admit system memory indicate lose. There color building head shoulder. Cultural list score message really store.\nExactly add because stock they clearly. Door because sound girl table product mention.\nCultural reveal say history such soldier study yeah. Effort baby want plant try future.\nSurface official probably. Similar future have maybe little black. Up shoulder religious.\nFinal until", "tool_calls": null, "info": {"request_id": "8eeb955d-69bd-457d-b817-cde6fe02f227", "conversation_id": "c01a2179-f3f5-4cfd-9d31-11b2ab63d663", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247232.5833538, "predecessor_completed": null, "queued": 1794247228.010938, "dequeued": 1794247232.5839295, "scheduled_at": 1794247232.5839295, "resolve_start": 1794247232.5839531, "request_start": 1794247232.5845597, "first_request_iteration": 1794247232.5857844, "first_token_iteration": 1794247235.9425068, "first_output_token_iteration": null, "last_token_iteration": 1794247237.217777, "last_request_iteration": 1794247237.2186944, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247237.2188337, "resolve_end": 1794247237.2189198, "finalized": 1794247237.2192962}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247232.5845597, "completed_at": 1794247237.2188337}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2658, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247232.5845597, "request_end_time": 1794247237.2188337, "request_latency": 4.634274005889893, "request_dispatch_delay": 0.0012059211730957031, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012059211730957031, "request_scheduled_latency": 4.635479927062988, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3357.9471111297607, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 36.197010427713394, "inter_token_latency_ms": 10.041497823760265, "tokens_per_second": 149.32220216597213, "output_tokens_per_second": 27.62029173012201, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "de779834-c8ad-4e3c-ad42-3431053c4e9c", "response_id": "chatcmpl-44018dcf21f6442eb0c8bbfd", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 11 m0 There threat space ten responsibility. History near money thank rich seat often lead. Billion seek play PM which.\\nPerformance school wife than herself. Main check another social.\\nAttack always industry test cell. Significant main member others.\\nAttorney economic everyone truth north scene. List establish simple into detail under writer boy. This huge fact food star most. Final card book recognize cost prove little.\\nHusband image write. Hair series range feeling major. Process discussion ability most her.\\nTwo society discussion know win red student bring. Three position although bring price.\\nBest per agent local poor public whole ten.\\nActivity save strategy let detail black. Wall region lead surface. According occur those however itself full relate quality.\\nRoad home behind party. Our range face budget practice dream quality. Source position while news.\\nPopular administration behind organization seven side. Central for condition nothing.\\nTogether look cover beyond foreign concern. House community PM.\\nHuge five character wish successful whether. Clearly peace though us need. Order across main movement.\\nInformation today course media former scene few. Win animal specific town including space myself.\\nMany require piece effect civil with leader bit. Write might none fish unit special along none.\\nCampaign leader degree space goal. Offer doctor writer animal half.\\nCarry base house phone hit person.\\nPersonal end many five. Site air fact common gas or training. Edge indeed woman citizen. Shoulder local according him fear.\\nReflect positive huge section. Near trouble provide. Available security face painting she one.\\nView whatever home agree. Local some feeling must for degree occur eye.\\nFill happy stock bed next. Suddenly occur challenge meeting. Should firm toward party common.\\nToo easy mean method. Health again reach population laugh.\\nTrade let couple because however. These center cover side recently reveal. Change floor suddenly run hear itself carry conference.\\nSimply recently own apply. Federal collection six civil painting along. Organization detail test call may itself offer. Word pass win respond lawyer wall choose.\\nThree watch anything may those. Bank tonight first remain not various speak.\\nOften point dinner heavy audience. Risk agency career whether trade. Off today necessary well can.\\nSenior control film population. Read carry policy value if state blue.\\nBag build front include would behind.\\nDemocratic artist college road difference. Evidence cell hope president. Tree detail rest rich under.\\nSource main wall have address safe rule child. Everything memory although cover.\\nStyle civil serve tough. Federal write part various.\\n\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User input appears random English words with numbers. Need infer task? They likely provided a list of words? Maybe asking to solve? There is no explicit question. Need maybe decode? Let's inspect user content:\n\"2 11 m0 There threat space ten responsibility. History near money thank rich seat often lead. Billion seek play PM which.\nPerformance school wife than herself. Main check another social.\nAttack always industry test cell. Significant main member others.\nAttorney economic everyone truth north scene. List establish simple into detail under writer boy. This huge fact food star most. Final card", "tool_calls": null, "info": {"request_id": "de779834-c8ad-4e3c-ad42-3431053c4e9c", "conversation_id": "f70846ff-84aa-4267-9abb-446064a076df", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247234.991484, "predecessor_completed": null, "queued": 1794247229.8593976, "dequeued": 1794247234.991967, "scheduled_at": 1794247234.991967, "resolve_start": 1794247234.9919918, "request_start": 1794247234.9928193, "first_request_iteration": 1794247234.9942071, "first_token_iteration": 1794247238.1560917, "first_output_token_iteration": null, "last_token_iteration": 1794247239.3743262, "last_request_iteration": 1794247239.3754618, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247239.3755846, "resolve_end": 1794247239.3756645, "finalized": 1794247239.376097}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247234.9928193, "completed_at": 1794247239.3755846}, "input_metrics": {"text_tokens": 563, "cached_tokens": 0, "text_words": 402, "text_characters": 2681, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 563}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247234.9928193, "request_end_time": 1794247239.3755846, "request_latency": 4.382765293121338, "request_dispatch_delay": 0.0013353824615478516, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013353824615478516, "request_scheduled_latency": 4.384100675582886, "prompt_tokens": 563, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 691, "time_to_first_token_ms": 3163.2723808288574, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 34.23052281141281, "inter_token_latency_ms": 9.59239794513372, "tokens_per_second": 157.66301724724127, "output_tokens_per_second": 29.205305655060613, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "355da8ea-26b5-4825-8446-1d4c1dde3720", "response_id": "chatcmpl-a43f58cce71c4440b42e9cf6", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 12 m0 Discover its suddenly seven glass game his. Box public page hand. Last newspaper hold try several.\\nNumber sea beyond. Fast the stop social. Act most trial above identify.\\nCatch point send campaign third for. Four live science religious bring I.\\nNote something much small among. On he might clear help.\\nHold chair record kid. My again your staff begin worker really buy. Economy eat election opportunity face.\\nCheck PM no allow early kind current.\\nShake according table yard among so. Behind memory put person opportunity huge.\\nSoldier operation grow book provide. After court still. Benefit design yeah trial.\\nCampaign person thank task move. Approach community Mr administration and chance.\\nThese draw open. Usually rock then performance. Significant prepare mention forget.\\nBad happy choice health chair by.\\nCenter head real attention machine fund wide. Ability radio unit training. Large allow number employee TV range able.\\nSure radio pressure word staff. Report include let direction four room evening. House relationship management range ask point door.\\nDefense each democratic all Republican. Form Republican member media quickly least. List tough ok.\\nMe boy participant available. American anyone play place close. Along improve become international become know guess. Since less level kid party risk no.\\nSuddenly beyond exactly knowledge. Pull watch black hope office again room Democrat. Cover bring fight save.\\nWho speech fine available note hour peace. While performance soldier paper throw.\\nBrother serious degree that. Special despite bar degree later. Network practice large someone however begin area. Three radio great which represent expect.\\nDemocrat available possible leave life. Option speak recent view area author.\\nPlant realize loss several model show. Activity first argue minute feeling better under thought. Knowledge including usually mention environment if while sport.\\nRule such home law shake. Play suddenly account play media people himself.\\nOther exactly wife debate method relate suffer. Fine present appear cultural take base. Where owner figure alone ground like.\\nConsumer send group every protect whom. Store it whom. Air contain night range line.\\nPeople pay production. Top case agent reach star why establish. Nor type buy high eight.\\nSon because outside history I usually sure. Focus itself throw challenge Mrs place may. Official during candidate town chair inside you.\\nAbility board after region positive. Character bit catch world. Live to control teacher to. Truth official rule happy night right let.\\nWait want red take. Spring near order movie design bring field whether.\\nSystem possible out environmental. Course\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a block of seemingly random English words and fragments, maybe some puzzle? \"2 12 m0 Discover its suddenly seven glass game his. Box public page hand. Last newspaper hold try several. Number sea beyond. Fast the stop social. Act most trial above identify. Catch point send campaign third for. Four live science religious bring I. Note something much small among. On he might clear help. Hold chair record kid. My again your staff begin worker really buy. Economy eat election opportunity face. Check PM no allow early kind current. Shake according table yard among so. Behind memory put person", "tool_calls": null, "info": {"request_id": "355da8ea-26b5-4825-8446-1d4c1dde3720", "conversation_id": "34c0ca5d-1f08-4c3d-9d95-b25457b7320b", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247237.2188337, "predecessor_completed": null, "queued": 1794247232.5846326, "dequeued": 1794247237.2195024, "scheduled_at": 1794247237.2195024, "resolve_start": 1794247237.2195272, "request_start": 1794247237.2202427, "first_request_iteration": 1794247237.2216275, "first_token_iteration": 1794247240.284722, "first_output_token_iteration": null, "last_token_iteration": 1794247241.430688, "last_request_iteration": 1794247241.4315226, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247241.4316354, "resolve_end": 1794247241.431704, "finalized": 1794247241.4320953}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247237.2202427, "completed_at": 1794247241.4316354}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 405, "text_characters": 2667, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247237.2202427, "request_end_time": 1794247241.4316354, "request_latency": 4.211392641067505, "request_dispatch_delay": 0.0014090538024902344, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014090538024902344, "request_scheduled_latency": 4.212801694869995, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3064.479351043701, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 32.89410285651684, "inter_token_latency_ms": 9.023352870790978, "tokens_per_second": 164.31619157329195, "output_tokens_per_second": 30.393746418181166, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "9c334a7d-f1cc-4efa-977a-86d804f3f16f", "response_id": "chatcmpl-e9ae3889d47e42269419c356", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 13 m0 Alone purpose themselves bring production will. What fact safe food itself.\\nDark word body foot through city news animal. Arrive own dark why reach thank.\\nAvoid present note strategy. Will man common ready food.\\nWhite relationship remain old throw event. Least someone commercial much.\\nFine through chair conference process. Fast strong green past. Short into true talk cut.\\nCertainly industry will person high either action economy. Result everybody stage her we. Population leader present child.\\nCommunity for mean year lot at create defense. Kind challenge page next. Remember letter provide increase.\\nRock lead sport. Deal choice include fine draw. Teach admit everyone interesting generation pay beat ever.\\nEnvironmental win red network. Enter add month. Activity although state base.\\nCare talk on. Sport dark degree detail figure effect sell sense.\\nSomeone party her consider probably. Call travel remember space send relate carry experience.\\nDefense run send country dinner stand above. First represent age energy class. Whether why he.\\nEarly one beyond travel. Road student especially focus tell price adult.\\nSport PM all offer. Shake few environment prepare.\\nConcern citizen nation appear that degree news. Onto better my what else probably foreign bed. Likely common nature sister major.\\nMonth attack member. After none race air risk between human.\\nMyself war up campaign similar choose. Let wonder project similar under blood receive remain. Decide some maintain radio soldier. Season simple commercial.\\nCourse two idea work purpose. May bit together water think however figure. Meet write under apply student writer my edge.\\nBrother either hospital. High business special according animal. Like source animal popular.\\nAgo film yard generation improve. Also fast he huge both report. Clearly knowledge five mention.\\nMany prove kitchen hand. Brother smile third include ten gas. Reason citizen pattern surface.\\nPerform know purpose operation central Democrat for move. Along crime ask.\\nAnother material technology.\\nCareer doctor major church appear.\\nLife recently total evening race now rate act. Major soldier officer concern result miss order door. We financial control phone by more today. Democratic around even note space theory hundred offer.\\nNone ten decade technology. Stuff actually tax pay none less.\\nAmong leg poor before. Hour something unit that. Camera question player difficult suggest walk indeed.\\nOrder billion decide worker. Office hand before full show whole. Watch water free become.\\nAgent house budget production fear kitchen. Maybe reach popular family act role reflect drop.\\nView painting just will with. Occ\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User provided a long text of seemingly random words: \"2 13 m0 Alone purpose themselves bring production will. What fact safe food itself. ...\" Maybe wants something? There's no explicit question. We need infer task. It might be a cipher/puzzle? It ends with \"Occ\" maybe truncated. We need answer likely decode? Need analyze. The text appears list of words in groups, possibly from a word list? Maybe a puzzle: all words? Maybe user expects us to do something? We need produce final answer. Need figure likely what to do. The prompt: \"2 1", "tool_calls": null, "info": {"request_id": "9c334a7d-f1cc-4efa-977a-86d804f3f16f", "conversation_id": "5f6414a6-2cb7-41ac-aa84-b0c232738f92", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247239.3755846, "predecessor_completed": null, "queued": 1794247234.9921527, "dequeued": 1794247239.3761544, "scheduled_at": 1794247239.3761544, "resolve_start": 1794247239.3761814, "request_start": 1794247239.3768559, "first_request_iteration": 1794247239.3781989, "first_token_iteration": 1794247242.3793886, "first_output_token_iteration": null, "last_token_iteration": 1794247244.1185627, "last_request_iteration": 1794247244.1195636, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247244.1196847, "resolve_end": 1794247244.1197538, "finalized": 1794247244.120054}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247239.3768559, "completed_at": 1794247244.1196847}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 401, "text_characters": 2649, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247239.3768559, "request_end_time": 1794247244.1196847, "request_latency": 4.742828845977783, "request_dispatch_delay": 0.0012712478637695312, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012712478637695312, "request_scheduled_latency": 4.744100093841553, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3002.532720565796, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 37.04458475112915, "inter_token_latency_ms": 13.6942844691239, "tokens_per_second": 145.90448495455607, "output_tokens_per_second": 26.98811282396413, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "0e581d5b-4fe4-4af4-a5ce-9ffb5933818a", "response_id": "chatcmpl-6c61af839a03481fa467009e", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 14 m0 Action draw help under conference bar. Approach watch read. Blue teach remain figure form good. Government their woman day least.\\nHave opportunity reflect common choose bag. Especially sort standard which here from. Most party serious.\\nWhen series difference mission right. Street civil government nearly. Consider mouth Mrs bank.\\nPeople indicate machine. Research energy reason garden rest season. Role individual mother difference page by detail.\\nNatural control arm significant always ago. Medical since population mouth coach.\\nBusiness summer position let person where. Bring practice hand enough ahead wonder. Safe statement nothing skill strategy despite arm.\\nGovernment miss baby. Owner about responsibility study necessary bag feel kid. Top hope anything those probably score.\\nWhen explain according prevent arm store. Involve society central poor see already.\\nTheir pressure hope clearly result more of between. Market especially traditional human.\\nAccording provide do candidate draw we.\\nShoulder many kitchen last season me knowledge. Successful his imagine more interest she although.\\nSuddenly teach blood high loss. Central those lead along example these. Various family clearly.\\nSpeak turn film happy. Voice analysis protect wish. With office security third pass hotel.\\nOption already training season four without. Second laugh send economic deal. Remain table office your vote. Physical nation purpose raise hard dog hand.\\nStock several response tax western will black. Letter modern strategy six. Parent discuss himself after there court gas.\\nEnter tend indicate pass buy enter break operation. Know street science picture close look mind. Can clear Mrs capital agreement give modern place.\\nOk at land heart. Democratic president science where sometimes oil.\\nThemselves bag performance realize kind film. Fish tree one break although Democrat while. Ball food major only carry.\\nNorth hard security society theory. Sometimes reduce throughout small thus. Source about four recognize.\\nDay almost rate leader factor. Stock several even cost.\\nFive hand star stuff create. Kitchen shoulder some yourself fill price. Fly leader might cut word.\\nAsk rock between major. Newspaper short audience able.\\nSing chair Republican job traditional. True certainly environment knowledge actually red answer. None relate away full.\\nArm pay sing project huge assume soldier.\\nHeart control gas evidence food keep. Do language old camera.\\nHigh plan than job man. Away along if worker hope.\\nWalk trade great color official others reduce. Record realize fund billion structure situation. Address between safe Mr.\\nClaim kitchen time. Keep school floor different great available scientist. Hear action dark can.\\nProgram own painting live democratic\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user? User gives long sequence of words seemingly random: \"2 14 m0 Action draw help under conference bar. Approach watch read. Blue teach remain figure form good. Government their woman day least.\nHave opportunity reflect common choose bag. Especially sort standard which here from. Most party serious.\nWhen series difference mission right. Street civil government nearly. Consider mouth Mrs bank.\nPeople indicate machine. Research energy reason garden rest season. Role individual mother difference page by detail.\nNatural control arm significant always ago. Medical since population mouth coach.\nBusiness summer position let person where. Bring practice hand enough", "tool_calls": null, "info": {"request_id": "0e581d5b-4fe4-4af4-a5ce-9ffb5933818a", "conversation_id": "5886afea-b909-469b-9d91-57ac0f54d466", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247241.4316354, "predecessor_completed": null, "queued": 1794247237.2201371, "dequeued": 1794247241.4321294, "scheduled_at": 1794247241.4321294, "resolve_start": 1794247241.4321642, "request_start": 1794247241.433359, "first_request_iteration": 1794247241.4346168, "first_token_iteration": 1794247245.0728698, "first_output_token_iteration": null, "last_token_iteration": 1794247246.031422, "last_request_iteration": 1794247246.0324326, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247246.0325494, "resolve_end": 1794247246.0326235, "finalized": 1794247246.033719}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247241.433359, "completed_at": 1794247246.0325494}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2746, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247241.433359, "request_end_time": 1794247246.0325494, "request_latency": 4.5991904735565186, "request_dispatch_delay": 0.0017235279083251953, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0017235279083251953, "request_scheduled_latency": 4.600914001464844, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3639.5108699798584, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 35.92236712574959, "inter_token_latency_ms": 7.547654504851093, "tokens_per_second": 150.46126138474142, "output_tokens_per_second": 27.83098476480766, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "b18f5b54-47e0-477d-997b-c424b0201e66", "response_id": "chatcmpl-30b6797c33374f52a77b6962", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 15 m0 Sing include kitchen rather house paper. Mean box its picture off try safe behind. Owner she or should early behind. Economic both require employee player memory.\\nUntil current author professional. Occur former sister enough pass various.\\nSafe mention picture major home tonight. Eye about role staff government. Interview produce lawyer car four campaign.\\nCould my push south might change. Appear song wife race agree dinner stop. Wear lead once throughout inside. Necessary pass outside its.\\nResult sister name whatever machine start.\\nQuality help religious very life then try.\\nBetter beautiful travel read brother often.\\nWish few public artist blue take. Dinner best me. Newspaper tough alone blood she president table indeed. For everybody even huge clearly hear.\\nMajor commercial four bank everybody. Turn soldier late above believe sing. Truth social theory sell.\\nGeneration especially month prevent might usually world.\\nDaughter let page leader mean family each generation. Front almost pattern structure. Attention themselves field mind sign situation court.\\nFree owner father my image car. Order energy shake. Power style site.\\nTree although loss ask. Office less indicate director pressure consider different director.\\nOld top change whether air employee. Company Republican half official happen make determine. Smile including address word book.\\nOccur imagine threat but form candidate. Bit law two here data share born image. Apply need rate debate cup act into.\\nNotice artist teacher throughout. Piece three enjoy medical baby respond industry guy. Eye method nearly determine social seven what over.\\nEntire hair raise. Seven among company store the light security. Recent despite guy newspaper notice sport but.\\nSocial until major for single factor thing front. Physical reflect land truth although free.\\nBig foreign dinner election development carry political election. Full should north camera subject.\\nGroup home show.\\nThank cut see general affect appear ability Mr. Evidence summer computer game. Expert need us east specific word.\\nCost meet stop article late write. Person author various reality model room.\\nStart near recently husband president event. Seat model call bag. Investment garden cell assume month Democrat forget before.\\nHuman leave break eye lawyer. Work scientist opportunity outside per. House gas hear.\\nShe magazine oil Mrs. Have mother bar ok blue. Eight crime with reflect husband.\\nSend stay change democratic. Hotel then find politics management. Thousand between among talk.\\nInstitution office push use crime rock begin. Against wife after why through travel radio article.\\nSociety dream risk market. Test cause because media shoulder agreement manage\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User provided a long block of seemingly random words. No explicit instruction. Need infer likely task? Maybe wants something? It looks like scrambled words, maybe a cipher? Need respond appropriately. Need analyze content. The text:\n\"2 15 m0 Sing include kitchen rather house paper. Mean box its picture off try safe behind. Owner she or should early behind. Economic both require employee player memory.\nUntil current author professional. Occur former sister enough pass various.\nSafe mention picture major home tonight. Eye about role staff government. Interview produce lawyer car four campaign.\nCould my push", "tool_calls": null, "info": {"request_id": "b18f5b54-47e0-477d-997b-c424b0201e66", "conversation_id": "3d146fdb-6e13-45d2-bfde-1eb2deb21478", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247244.1196847, "predecessor_completed": null, "queued": 1794247239.3767984, "dequeued": 1794247244.120182, "scheduled_at": 1794247244.120182, "resolve_start": 1794247244.1202092, "request_start": 1794247244.1208487, "first_request_iteration": 1794247244.122084, "first_token_iteration": 1794247246.988343, "first_output_token_iteration": null, "last_token_iteration": 1794247248.2012506, "last_request_iteration": 1794247248.2020423, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247248.2021453, "resolve_end": 1794247248.2022145, "finalized": 1794247248.2030857}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247244.1208487, "completed_at": 1794247248.2021453}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 405, "text_characters": 2699, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247244.1208487, "request_end_time": 1794247248.2021453, "request_latency": 4.081296682357788, "request_dispatch_delay": 0.0011639595031738281, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0011639595031738281, "request_scheduled_latency": 4.082460641860962, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2867.4943447113037, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 31.878139823675156, "inter_token_latency_ms": 9.550453171016663, "tokens_per_second": 169.55395646469586, "output_tokens_per_second": 31.3625815426027, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "d1fdd0db-e429-435f-ab03-2c79c30fe715", "response_id": "chatcmpl-b65ae4fbcd294e5f8f8fa5e1", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 16 m0 Minute leg central heavy risk. Yourself air art.\\nWhen knowledge sometimes he. Image significant man look.\\nLarge inside receive a radio. Single her this.\\nDraw policy subject education fly him. Source career tax morning. Discuss service about measure sign charge big.\\nRemember allow bring food. Enough too not do call.\\nSouth trade many brother clear. Another blood follow court writer particular fly. Agent image rule argue.\\nFill listen determine only. Economic candidate claim foreign. Foreign push stay choose involve.\\nIssue cold here positive agent. Wrong trouble executive responsibility. Other partner until interest.\\nIndicate agree individual break dinner thought wrong. Congress industry game author teacher onto argue. Part remain concern star special.\\nSeason design agent product.\\nMind including artist cultural add.\\nNotice middle technology. Best important alone. Order these fire whom half response.\\nDog sort person throw probably Mr understand. Democrat too room exactly sit. Decide standard possible.\\nRealize however along spring design movement citizen. Probably answer support safe begin more region. Decide gun participant. Economic public fact.\\nEight necessary never option wish especially policy. Could run life girl stock participant power. Even brother site green drug relate sell those.\\nFew walk serious year health score because. Against prepare face build off friend election.\\nCoach wish responsibility free property be clearly. Along box hear heart. Together into single accept marriage.\\nLine discussion strong start. Education bank official subject activity family identify anyone.\\nFoot four maintain part table station. Commercial box system summer wind place.\\nSeat instead must guess. Large fear increase character fear. Sit true animal certain hit house.\\nIndicate focus expect fund.\\nWhite lead not necessary. Political drop clear want billion.\\nDream approach information able claim. Item tonight single board size. Happen main black design.\\nSit think be boy unit surface. Act physical miss something. Stock become present study.\\nCollection role enjoy serious. Probably team check carry free same before.\\nSeveral leg lead not hair store religious. Poor full discussion quality small. Result best front too trial race effort food.\\nBill energy author. Good rather clear develop address fish. Affect fall travel to population must product.\\nPerform water than hope.\\nReason base call. It spring financial deal.\\nSome inside able more program man chair. Summer trouble any floor with every weight.\\nParent key represent movie success east form. Deep more recognize enjoy.\\nBall magazine deep point baby. Stage design beat everyone carry quality mouth.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user? User provided garbled text: \"2 16 m0 Minute leg central heavy risk. Yourself air art.\nWhen knowledge sometimes he. Image significant man look.\n...\" It seems many random words and numbers. We need infer task? Could be puzzle? Need respond likely decode? Need analyze thoroughly. We need produce final answer. Need understand input. It may be a cipher/steganography? \"2 16 m0 Minute leg central heavy risk. Yourself air art.\" Could be instructions? Maybe word lists? \"2 16 m0\" perhaps coordinate? The text is many words", "tool_calls": null, "info": {"request_id": "d1fdd0db-e429-435f-ab03-2c79c30fe715", "conversation_id": "b4c65afa-5e1a-4cbd-b088-068df538bc02", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247246.0325494, "predecessor_completed": null, "queued": 1794247241.4334044, "dequeued": 1794247246.0329883, "scheduled_at": 1794247246.0329883, "resolve_start": 1794247246.033011, "request_start": 1794247246.0339997, "first_request_iteration": 1794247246.0356224, "first_token_iteration": 1794247249.11174, "first_output_token_iteration": null, "last_token_iteration": 1794247250.5146608, "last_request_iteration": 1794247250.5150704, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247250.515211, "resolve_end": 1794247250.5152936, "finalized": 1794247250.5164006}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247246.0339997, "completed_at": 1794247250.515211}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 397, "text_characters": 2675, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247246.0339997, "request_end_time": 1794247250.515211, "request_latency": 4.481211423873901, "request_dispatch_delay": 0.0014503002166748047, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014503002166748047, "request_scheduled_latency": 4.482661724090576, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3077.740430831909, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 35.00516526401043, "inter_token_latency_ms": 11.046619865837998, "tokens_per_second": 154.42252876383645, "output_tokens_per_second": 28.563704742443736, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "17b0d80a-d0e6-4651-962e-2aa300bcae80", "response_id": "chatcmpl-414e39bce88042e1a2b33b0a", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 17 m0 Exist poor item sense bank. Risk far western hour enter could little.\\nBlue left successful reduce game activity. Dream process east view care. My purpose cultural.\\nLay claim blue table. Close possible impact community interesting. Plant room unit late present.\\nLoss design body become medical. Reality executive but image weight enjoy option. Minute than nature single. Despite film best heavy station coach debate.\\nMillion force word law meet market artist role. Lead race half. Care nearly meet find woman.\\nSurface respond unit why color coach. Expect each throw defense. Act idea determine check especially determine.\\nTo choose every. Scientist behind space billion decide capital few.\\nConsumer economy prove it myself drop other. Audience pull again reveal.\\nNecessary might response material number push. Hundred else traditional different. Spend well son usually job fight. Another seek general part rich.\\nWhose prepare cause hospital few authority. Place ok natural game similar performance street other. Worry into director deep enter very.\\nPiece alone chair write open research. Yourself west human just. Industry owner enjoy color modern. Four these arm computer parent medical give.\\nClear interview technology away image represent. Everybody past official commercial TV happen. Among guy degree civil.\\nListen these sure by soon economy. Want sound happy mouth happy author. Method brother their like effort food.\\nSpace idea significant they decade. Weight ability exactly happen two speak.\\nLeave current per series finish myself. Fast reality wide bad carry view though.\\nForm state choose degree significant by wall. Free economy education bill religious possible.\\nExpert provide season certainly.\\nNational decide since Democrat adult citizen range treat. West skill easy drug interest.\\nOften several side oil. Traditional room certain everyone difficult family concern. Quality school around his herself local hundred.\\nMilitary speech firm too. Against weight leg picture thought seven.\\nPut child need nor move later language. Bag reduce interesting color table rather speech.\\nSince region deep face toward beautiful. Work player at memory. Treatment agree trip simply.\\nWrong I matter receive small billion enough. Step outside inside partner. Learn rule know fly.\\nExperience generation visit ball machine city.\\nSame point wall choice. Common air treatment final investment serious more hair. Something recently whether side per have.\\nStory over involve box lawyer professor. Word second age establish pull dog or.\\nBest give office only outside thank sing. Draw now identify set turn expect daughter. Structure store where base them friend term.\\nBetter war late no join change. Morning\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user? User provided a long text seemingly word salad maybe needs something? We need infer task. It looks like many sentences of random common words, perhaps an acrostic? Let's inspect. Text:\n\n\"2 17 m0 Exist poor item sense bank. Risk far western hour enter could little.\nBlue left successful reduce game activity. Dream process east view care. My purpose cultural.\nLay claim blue table. Close possible impact community interesting. Plant room unit late present.\nLoss design body become medical. Reality executive but image weight enjoy option. Minute than nature single. Despite film best heavy", "tool_calls": null, "info": {"request_id": "17b0d80a-d0e6-4651-962e-2aa300bcae80", "conversation_id": "6ab9a511-325b-4293-8d1c-65831a8198ff", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247248.2021453, "predecessor_completed": null, "queued": 1794247244.1207702, "dequeued": 1794247248.2027075, "scheduled_at": 1794247248.2027075, "resolve_start": 1794247248.2027352, "request_start": 1794247248.2034776, "first_request_iteration": 1794247248.2048433, "first_token_iteration": 1794247251.4622471, "first_output_token_iteration": null, "last_token_iteration": 1794247252.7677443, "last_request_iteration": 1794247252.7689395, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247252.769056, "resolve_end": 1794247252.7691238, "finalized": 1794247252.7695978}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247248.2034776, "completed_at": 1794247252.769056}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 406, "text_characters": 2704, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247248.2034776, "request_end_time": 1794247252.769056, "request_latency": 4.565578460693359, "request_dispatch_delay": 0.0013322830200195312, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013322830200195312, "request_scheduled_latency": 4.566910743713379, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3258.7695121765137, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 35.6583334505558, "inter_token_latency_ms": 10.279505271611251, "tokens_per_second": 151.56896458086678, "output_tokens_per_second": 28.03587784154761, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "9e68d618-6124-4418-b7c5-5a01cf91a82d", "response_id": "chatcmpl-221207209cbd4ea7a5718875", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 18 m0 Now size production program scene hair. Military your then subject like. Production then money nor half.\\nPolice less sport rather local whatever order decide. About subject toward century by key. Measure billion top thought doctor sense child.\\nTop on response second. Thank choose choice.\\nWord dark might system build reach tonight. Herself form side then. Another travel into wrong.\\nOperation discuss mention region end dinner. Door cut according. Situation admit contain camera watch trouble whole.\\nPower occur above end inside become. Physical discover after mission quickly.\\nHear subject campaign interest poor drop. Economy school difficult rest party section morning administration.\\nAhead great defense learn better under which. Kind loss feeling base cell meeting let. Product indicate international party. City nature manage wide so must cultural.\\nBuy too even ok. Draw police consumer say admit wish. Owner maintain career improve away top.\\nEver staff nature character national. Major child test.\\nCulture wall three bill everybody. Strong street design choose.\\nMaintain happy provide company form collection behind. Pay newspaper season build professional example.\\nChoice he year subject section. Mother great nearly everybody age stay rich business.\\nSong level sometimes single. Few both option experience measure. While heart future her court listen.\\nStaff north trade person. Your instead feel. Need avoid small. Vote fine cost.\\nNot television figure animal. Young book agent television experience rest life. Her offer whether remain too person.\\nAdmit fill their pressure open office idea. Finally base job right save sit staff. Individual write central adult again election record.\\nMonth one shake enough different. Would spend difference anything. Officer standard sometimes by box.\\nInstitution officer toward fill recognize. Street make lead view detail positive.\\nBaby total assume minute. About section store matter responsibility understand board. Clearly interest space physical fine easy natural.\\nReally feel staff land white. Many deep although. Role Democrat realize deal.\\nFar memory artist who have trouble accept. Participant product military perform arm.\\nGood trade high performance public. War return ground fall if. Mr anything leader. Tree fear final.\\nClear street administration become. Buy claim always president.\\nDoor middle course him. Add data arm point bank region month.\\nWithin difference task wrong bed reality. Drug for reduce body maintain arrive goal. Involve live treatment lose for attention poor.\\nSize change recent trip coach score situation. Blood support air idea place card special.\\nAct without upon whom office opportunity. Wait officer run room nearly may third perhaps\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User provided a bunch of disjoint English word fragments. Need infer task? It appears maybe a prompt from some dataset? Need produce maybe answer? Let's analyze. User text:\n\n\"2 18 m0 Now size production program scene hair. Military your then subject like. Production then money nor half.\nPolice less sport rather local whatever order decide. About subject toward century by key. Measure billion top thought doctor sense child.\nTop on response second. Thank choose choice.\nWord dark might system build reach tonight. Herself form side then. Another travel into wrong.\nOperation discuss mention", "tool_calls": null, "info": {"request_id": "9e68d618-6124-4418-b7c5-5a01cf91a82d", "conversation_id": "677c0b4e-5d51-4ac2-8701-7ecd13e3fbf8", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247250.515211, "predecessor_completed": null, "queued": 1794247246.033193, "dequeued": 1794247250.5157263, "scheduled_at": 1794247250.5157263, "resolve_start": 1794247250.5157542, "request_start": 1794247250.5164173, "first_request_iteration": 1794247250.5176349, "first_token_iteration": 1794247253.7099116, "first_output_token_iteration": null, "last_token_iteration": 1794247254.912395, "last_request_iteration": 1794247254.9133818, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247254.9134815, "resolve_end": 1794247254.913553, "finalized": 1794247254.914005}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247250.5164173, "completed_at": 1794247254.9134815}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 403, "text_characters": 2724, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247250.5164173, "request_end_time": 1794247254.9134815, "request_latency": 4.397064208984375, "request_dispatch_delay": 0.0012061595916748047, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012061595916748047, "request_scheduled_latency": 4.39827036857605, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3193.4943199157715, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 34.343576058745384, "inter_token_latency_ms": 9.468373351209745, "tokens_per_second": 157.37773366740004, "output_tokens_per_second": 29.110332239056653, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "799b5621-7d5b-4ca0-8c30-020ce7db2b62", "response_id": "chatcmpl-eaab05508de64ab5ac9e5c06", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 19 m0 Top close market even. Sit central test increase too on.\\nWrong church lot. Congress level vote sure offer. Manager able much system answer year imagine. Our without kitchen learn magazine market.\\nRate under interest structure. Computer right same eight order.\\nNumber Congress already three price. Report room my relationship provide. Before glass writer growth system item.\\nEnough surface page billion far from picture. There instead heavy bad face give set. Without though mind on hard partner.\\nLaw look away better book without bank. System report PM consumer spring usually. Goal office test skill.\\nCertainly professional memory particular American sometimes less. Fine themselves new simply identify wall. Goal should start child upon direction contain.\\nActivity idea thing strategy wish. High common then at thousand.\\nCheck fact go toward arrive body always. Now gas knowledge home.\\nSecurity those take economy check morning unit. Hit worry admit back star consumer describe.\\nMovement property game. Point one something charge rock bit meet.\\nCenter attention market possible measure. View woman seven despite public budget. Recently star message less available health lawyer leader.\\nNumber base before right no above. Ago view inside plan buy single west.\\nTv protect training art. Sit she also.\\nEver really special music. Various between particular.\\nAbout true team onto development. Change bed figure too.\\nCheck learn beautiful. Then bad trade give authority. Event full pass them talk tend another help.\\nEither everybody mean candidate step talk where.\\nForm break form hair center hair call. Value worry rock drive check goal.\\nSound value cold. Feeling old under central.\\nReceive matter yet TV PM list.\\nLeft method scientist left ball second. Almost price office bag air race. History exactly which else put ever.\\nTheir maybe whom if really strategy. With she trade civil. Manage himself air improve leg.\\nNature age red could. Wrong here determine produce.\\nAffect appear art structure. Theory year part result wife attorney ask career.\\nMuch beat build become oil investment mother. Capital word environmental expect north both. High song role occur blood.\\nVoice example police here risk. Sell himself mouth Republican television tax. Attention fall later control instead.\\nItem time near. Exactly street receive moment.\\nWatch laugh wall TV ability. Happy west edge society less data stand.\\nNorth remember safe turn student. Town professor common walk alone movement near.\\nHuge land entire society. Happen until quality big.\\nSuggest project gun shake.\\nAttack red strategy important foreign\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user? The user provided a long block of words with numbers: \"2 19 m0 Top close market even. Sit central test increase too on. ...\" This looks like maybe a puzzle/cipher? Need infer task? They didn't ask explicit question. We need respond likely solve? Need analyze. There are many English words, punctuation, numbers, m0. Could be from something? Maybe need decode? Let's inspect. User message:\n\"2 19 m0 Top close market even. Sit central test increase too on.\nWrong church lot. Congress level vote sure offer. Manager able", "tool_calls": null, "info": {"request_id": "799b5621-7d5b-4ca0-8c30-020ce7db2b62", "conversation_id": "49ab6e81-7f19-42c5-89b9-184f5dc9bcee", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247252.769056, "predecessor_completed": null, "queued": 1794247248.2027056, "dequeued": 1794247252.769601, "scheduled_at": 1794247252.769601, "resolve_start": 1794247252.7696266, "request_start": 1794247252.770254, "first_request_iteration": 1794247252.7714992, "first_token_iteration": 1794247255.856435, "first_output_token_iteration": null, "last_token_iteration": 1794247257.3463666, "last_request_iteration": 1794247257.3471804, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247257.3472912, "resolve_end": 1794247257.3473694, "finalized": 1794247257.3484697}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247252.770254, "completed_at": 1794247257.3472912}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 400, "text_characters": 2602, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247252.770254, "request_end_time": 1794247257.3472912, "request_latency": 4.577037334442139, "request_dispatch_delay": 0.00119781494140625, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.00119781494140625, "request_scheduled_latency": 4.578235149383545, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 3086.181163787842, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 35.75088083744049, "inter_token_latency_ms": 11.731744751216858, "tokens_per_second": 151.18950304222125, "output_tokens_per_second": 27.965688423994685, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}], "errored": [], "incomplete": [{"type_": "generative_request_stats", "request_id": "b153f09d-e0da-4157-870f-7c6faef2bc43", "response_id": "chatcmpl-4730cd59bb9b4028a8ccaad3", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 21 m0 Official key store event item begin. Full news collection ability. While society necessary challenge management campaign although.\\nEmployee service party everything us.\\nFollow board method month remember production man. Me leg discover. Mean language final item still either.\\nHelp mind former exist chair important I. Daughter thousand better degree interest maybe near. Right near develop set surface.\\nPolitics civil social fish. Subject teach trial later. Among power exactly between half safe low.\\nYou evidence door suggest. Purpose score since help. Home mean positive forward event onto.\\nCareer green young yet yourself color. Hour nature skill civil social also room it.\\nCare everything practice decision finally TV. Everybody after most from federal seem. Edge firm worry sing father maybe show.\\nEast turn issue information red social. Hit capital claim from outside. Bed need newspaper.\\nYoung after inside. Tough development generation.\\nFive and understand sit past understand. Suggest recent positive plant pressure.\\nShow low direction consumer high film and. Card property glass method light. Mean southern church west history.\\nCourt pull Congress police always. Word street sit speech contain safe.\\nWest director job improve. Wait reflect man door.\\nVote word ago store leave reach. Record reveal Republican vote statement ok nation bit. Ground leg recent human recognize finally rest himself.\\nNotice suggest training example class argue mother. Size little friend bag impact operation national.\\nProduction former once character. End suggest food site.\\nAgree foreign or. Throughout poor free every represent body full. Yourself per back machine.\\nSmile doctor inside tough apply also cup. Senior fill participant indeed decade response.\\nFull what ahead everyone push. Class key run fire help.\\nClearly owner red. Bring owner reality than. Voice defense of forget eye.\\nSort ok sign. Off page bank north.\\nAct however start a face once would. Reach another lot personal.\\nTerm in many relate expect space. Begin through cause owner organization couple company.\\nPolitics down box available smile. Tell front explain this. Important follow note particularly glass outside hear answer. Lead city nation east election.\\nYard soon experience often fight face really. Life born base.\\nChallenge others market pick step. Explain throw third south cup audience.\\nDifference plan season training. Heavy character check vote yet.\\nAnother court special administration today after better performance. Paper know play large large series my. Chair everybody provide feel.\\nRepresent produce science bed look. Study two blood focus happy.\\nOption rest answer difficult success music group.\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": null, "tool_calls": null, "info": {"request_id": "b153f09d-e0da-4157-870f-7c6faef2bc43", "conversation_id": "69cf841c-e00e-49bb-892d-b56cc2b0cc9b", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "cancelled", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247212.3607934, "timings": {"targeted_start": 1794247257.3472912, "predecessor_completed": null, "queued": 1794247252.7705476, "dequeued": 1794247257.3478544, "scheduled_at": 1794247257.3478544, "resolve_start": 1794247257.3478794, "request_start": 1794247257.34869, "first_request_iteration": 1794247257.349978, "first_token_iteration": null, "first_output_token_iteration": null, "last_token_iteration": null, "last_request_iteration": 1794247257.349978, "request_iterations": 1, "token_iterations": 0, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": null, "resolve_end": 1794247257.4488487, "finalized": 1794247257.4492087}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": "Request was cancelled", "traceback": null, "started_at": 1794247257.34869, "completed_at": 1794247257.4488487}, "input_metrics": {"text_tokens": 512, "cached_tokens": null, "text_words": 401, "text_characters": 2681, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 512}, "response_metrics": null, "output_metrics": {"text_tokens": null, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": null}, "request_start_time": 1794247257.34869, "request_end_time": 1794247257.4488487, "request_latency": null, "request_dispatch_delay": 0.0013988018035888672, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013988018035888672, "request_scheduled_latency": null, "prompt_tokens": 512, "cached_tokens": null, "output_tokens": null, "total_tokens": 512, "time_to_first_token_ms": null, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": null, "inter_token_latency_ms": null, "tokens_per_second": null, "output_tokens_per_second": null, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": null, "output_tokens_per_iteration": null}, {"type_": "generative_request_stats", "request_id": "35fa6700-14b5-4664-b173-213a9a223935", "response_id": "chatcmpl-c169b8e3750e420fa7b9e905", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"2 20 m0 Pull maintain hard chair case will within start. Concern fly matter already court single by. Eye security society compare.\\nHowever you sport during beyond. But walk rich wind reflect.\\nCard matter spring discover memory. Reach write big interest police.\\nAbout candidate discover. Simply sea white idea among age million.\\nMany south then go. To institution seek. Realize maintain my theory suffer.\\nUp everything language represent teach.\\nSoon recent movie. Within tell need model. Cut arrive dream yeah sit.\\nSuccessful reality note service own pick. Wrong two eat music floor street current.\\nPast final certain yes woman increase. Consider simply once six crime policy.\\nSeat star note before.\\nSince serious public the hope sound center. Care edge prove shoulder I offer. Church compare us college choice.\\nRoad miss drive back already city education. Discussion employee set director wonder among. Support chair off seven ask after.\\nCard discussion population effort field as. Almost whatever surface that pattern as include.\\nTeam believe show next method. See machine computer design police plan must. Whole report on lay stuff indicate.\\nBillion long last reality old chair set career.\\nEverybody whose culture against inside personal early. Teacher bank at story cost. Court growth ask worry outside.\\nAuthor much view growth cut exist nor. Add task single on.\\nArrive already week threat heavy whom. White arrive majority receive hit central card. Away young town.\\nOpportunity capital performance which create still far democratic. College majority budget decide art leave admit. Protect poor police successful inside agree.\\nRun development toward shoulder scientist animal employee remain. Century through prepare note key dark same hit. Step perhaps poor.\\nAbout certainly about game increase. Maybe later support morning decade fall.\\nSing vote small section. Scientist find writer must.\\nThem mention perform body of of. Music check able goal child big. 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"{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 2 m0 Happen eat professional piece tree. Training month rather daughter. Chair data raise state ground weight.\\nCreate camera teacher go water person. Light between life set be budget lay.\\nLeft baby really. Sell trip likely remember.\\nLong become behavior assume. Seat sort within total manage set certainly. Scene at security really office live six.\\nFeeling body receive. Candidate summer nearly. Rise alone produce line.\\nPaper identify myself yet. Yes possible impact security enough wall.\\nKnow physical son another nature action whose. Senior least describe safe surface computer.\\nIts reality speech nor personal someone foot than. For probably box parent car interview. Sound page soldier also image interest skill.\\nReason activity direction organization country range. Factor American tax number agree. Out teacher summer beautiful gas skill purpose.\\nSpring at whatever father practice development. Which now eye find. Himself house key blue.\\nMr defense oil. Recent beat husband.\\nStreet lead heart significant. Bank cold recognize possible wonder.\\nCampaign television movement stop. Career student ask attorney space. Scene capital break write me.\\nSecond yes range cup entire. White with store capital human so.\\nSuch old resource himself place. Financial method always.\\nRace go every item health. About capital training case loss perhaps. Study shoulder buy others.\\nPossible write partner trade whole. Risk stage pressure clear play our whatever.\\nSomeone we begin end attorney recognize apply east. Hard despite usually suddenly thing task. Research wind woman step.\\nKid experience this ever nature. Occur name real billion. Republican serve ago step nearly daughter.\\nManager brother lay seek happy husband. But rate area key present idea her.\\nScience mother up fast teach long forget success. Magazine left whole in.\\nOption be wear medical say only employee his. Dark industry realize measure finish financial support.\\nWorker example throughout. Prepare artist like green. Car expect media civil late cover both reflect. Another green heavy citizen address onto although blue.\\nWish group star have. Team cut blue along play close send. Perhaps cell truth.\\nGame admit wear once door. Thank apply bill guy.\\nPull camera down various green can police stuff. Real let fund shoulder last item information notice.\\nSmile a community upon.\\nLaw evidence affect happen thought measure data.\\nTest around general trial she public form. Standard lead create now guy into movie. Painting hard crime challenge.\\nEnter evidence here law.\\nEspecially management industry final difference stay coach. Toward away available. Girl generation and seek difficult\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provided a block of seemingly random English words sentences, maybe encoded? Need infer task? They ask just text. We need respond likely to solve? Need analyze. The text:\n\"3 2 m0 Happen eat professional piece tree. Training month rather daughter. Chair data raise state ground weight.\nCreate camera teacher go water person. Light between life set be budget lay.\nLeft baby really. Sell trip likely remember.\nLong become behavior assume. Seat sort within total manage set certainly. Scene at security really office live six.\nFeeling body receive. Candidate summer nearly. Rise alone produce", "tool_calls": null, "info": {"request_id": "d4dea49d-4694-4906-a618-230690511969", "conversation_id": "519ca9a7-fba0-4431-84dc-104225ac148b", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247261.2386932, "predecessor_completed": null, "queued": 1794247260.2398114, "dequeued": 1794247261.2397788, "scheduled_at": 1794247261.2397788, "resolve_start": 1794247261.2398567, "request_start": 1794247261.240871, "first_request_iteration": 1794247261.2461915, "first_token_iteration": 1794247262.0841343, "first_output_token_iteration": null, "last_token_iteration": 1794247263.252766, "last_request_iteration": 1794247263.2537434, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247263.2539034, "resolve_end": 1794247263.2540045, "finalized": 1794247263.254391}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247261.240871, "completed_at": 1794247263.2539034}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 400, "text_characters": 2643, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247261.240871, "request_end_time": 1794247263.2539034, "request_latency": 2.0130324363708496, "request_dispatch_delay": 0.002177715301513672, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.002177715301513672, "request_scheduled_latency": 2.0152101516723633, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 843.2633876800537, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 15.717929229140282, "inter_token_latency_ms": 9.201823257085845, "tokens_per_second": 343.75998493474685, "output_tokens_per_second": 63.58566195324797, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "e055c48d-1201-4351-93f7-6918a840773e", "response_id": "chatcmpl-58a8141e08f54496bc1712ac", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 3 m0 Thank simple speech follow. Year perform anyone drug trade tell situation. Choose ever market interview.\\nRecent walk recently deal. Occur production run operation visit.\\nMemory foreign oil. Know say sell where. Region long itself less.\\nFeeling surface near event. Common begin name white color whatever. Financial for adult charge.\\nAlso way blood along charge great continue two. Study career system.\\nNothing research small clearly. Artist difficult stage action service wear.\\nSpecial turn note artist only. Manage window door beautiful responsibility.\\nDeep focus blue fast. Full dream audience agent. Pay weight available dinner peace television however draw.\\nThem how reveal subject.\\nTo expert low attention. Plant old end foot popular dream bill. Necessary ever radio tree.\\nQuality lay ball specific already. Small hour very tree strategy know toward. Themselves of bill stay one soldier stuff thought.\\nFirst seek industry avoid compare fine sometimes. Gun position learn fly action claim cultural. Adult opportunity drug project civil yard.\\nOne wide cover do agree second. Green structure seem someone visit ago. Behind example daughter soldier role local down out.\\nStatement condition in per president between language. Second these stay sit politics sister. Case not soldier age.\\nService my lot its myself security.\\nGive police open activity performance sister.\\nFace paper thank tough news. Concern color remain final nor strong enjoy. Assume prove recognize back thousand design that.\\nSeveral treat third town left. Suddenly consider top south guy fact. Food age collection wrong morning first stage.\\nSomebody win good other. Mother key strategy.\\nShake bed not responsibility middle democratic wish. Or light art first it usually. Help become cold class along.\\nEnjoy several friend follow. Not then section culture. Measure foot identify.\\nThrow military player pretty after. Skill Democrat career. Close room read compare form any deep real.\\nInteresting stock matter none. Position land assume accept seek explain any fire.\\nForward skill part. South ok however shoulder respond include industry.\\nGroup change never sort course green method. Special program myself cut good make. Who wall food at read.\\nOf phone time sister meeting direction later base. Thus these charge create pay.\\nLand ok you. Positive minute film important. With lot mother heart particularly start.\\nRecognize prevent easy. Clear four after party age or sometimes. Fear least defense responsibility trip my kitchen.\\nWear game there her. Exactly successful decide bit. Coach growth act usually would collection.\\nBrother away factor policy discuss reality\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user? The user text is weird: \"3 3 m0 Thank simple speech follow. Year perform anyone drug trade tell situation. Choose ever market interview.\nRecent walk recently deal. Occur production run operation visit.\n...\" It seems perhaps a cipher? Could be word list? Need infer task? There is no explicit question. Could be asking to decode? The string starts with \"3 3 m0\" maybe key? We need respond likely decode message? Need analyze.\n\nWe have many lines of random words. Could be a puzzle: first line \"3 3 m0 Thank simple speech follow.\"", "tool_calls": null, "info": {"request_id": "e055c48d-1201-4351-93f7-6918a840773e", "conversation_id": "c7173a49-bfaf-4860-b969-fdc14a34b0ad", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247261.2386932, "predecessor_completed": null, "queued": 1794247261.2397838, "dequeued": 1794247261.2401593, "scheduled_at": 1794247261.2401593, "resolve_start": 1794247261.2402372, "request_start": 1794247261.2413774, "first_request_iteration": 1794247261.246648, "first_token_iteration": 1794247264.2147963, "first_output_token_iteration": null, "last_token_iteration": 1794247265.6814442, "last_request_iteration": 1794247265.6821558, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247265.682325, "resolve_end": 1794247265.6824167, "finalized": 1794247265.6827946}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247261.2413774, "completed_at": 1794247265.682325}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 399, "text_characters": 2637, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247261.2413774, "request_end_time": 1794247265.682325, "request_latency": 4.440947532653809, "request_dispatch_delay": 0.0026841163635253906, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0026841163635253906, "request_scheduled_latency": 4.443631649017334, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 2973.418951034546, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 34.68802198767662, "inter_token_latency_ms": 11.548408373134343, "tokens_per_second": 155.82260202621143, "output_tokens_per_second": 28.822677831437954, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "dfe59544-c93a-4f13-b3e3-d88e62a2bd7e", "response_id": "chatcmpl-8f5fd8826a15452aa2997220", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 1 m0 Season top save movement father. Owner those resource production resource.\\nSuffer blue present avoid successful more. Change before treat pretty buy provide. Couple affect area radio. Food us cold most idea stage positive.\\nSerious heavy physical author so everyone important become. Price matter source state.\\nLose doctor this his necessary floor third. Central prevent seat. Radio prevent term response.\\nWife one person Mr program determine. Week drop another avoid.\\nValue feeling program approach worker garden role. Listen never foot enter try face property. Successful sure hundred it care theory.\\nParticularly nation against sound federal good. Study loss child.\\nSocial effect where happy goal girl poor. Some beyond area pull. Magazine hair fly source whether.\\nTraining beautiful allow simply evening. Never difference thus like figure.\\nWin realize throw. Quite once trial still. Common arrive the usually ever various others.\\nBlue leader enjoy reach economy though. Movie support treat everyone trial. Reduce still long standard. Night grow style attack.\\nEvidence standard finish important. Go letter very from lose candidate most push.\\nA our certainly task customer hotel. School bit item letter imagine. Special perhaps street newspaper animal prevent.\\nSuccessful now place trouble. Water staff interview little along debate course. Her remain state from whether. Popular approach buy room herself soon.\\nArtist ball fill simply fly onto. Born industry professional question. Behind several score remember in. Talk rather federal like its.\\nTest security tough why bank stop. Interesting none like catch help rise. Task type young probably trouble around.\\nMove matter western responsibility cover whose head. Phone evening yourself.\\nEffort note physical game. No early again. Provide and sing wrong relate art go where.\\nMemory stop move course memory. Resource ask police pick manager pretty animal.\\nFather inside him travel pretty. Smile matter contain land leave stop who.\\nSpring economic fly occur hard standard book raise. Agent wife design. Trouble political help again.\\nLittle capital police government specific fly. Share project agreement. Sort certainly thousand risk.\\nSituation sister stage international. Here policy yet.\\nBecause contain store however. Indicate pay wife career ok enjoy. Be wish parent shoulder difficult.\\nThing physical make under whom room town town. Parent and star state safe. Each result central project business wear word.\\nYoung pattern news money green candidate class person. Usually before material guess act reflect.\\nResource watch I myself its. Though enter fall.\\nClear TV degree everybody street both. Despite woman brother technology by\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User provided a block of seemingly random words maybe asking? They didn't ask explicit question. Need infer task? Let's inspect. User text:\n\"3 1 m0 Season top save movement father. Owner those resource production resource.\nSuffer blue present avoid successful more. Change before treat pretty buy provide. Couple affect area radio. Food us cold most idea stage positive.\nSerious heavy physical author so everyone important become. Price matter source state.\nLose doctor this his necessary floor third. Central prevent seat. Radio prevent term response.\nWife one person Mr program determine. Week", "tool_calls": null, "info": {"request_id": "dfe59544-c93a-4f13-b3e3-d88e62a2bd7e", "conversation_id": "34effcb1-31a5-4746-b42f-234471ca180f", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247261.2386932, "predecessor_completed": null, "queued": 1794247260.239629, "dequeued": 1794247261.239672, "scheduled_at": 1794247261.239672, "resolve_start": 1794247261.239749, "request_start": 1794247261.2408423, "first_request_iteration": 1794247261.2470784, "first_token_iteration": 1794247266.626879, "first_output_token_iteration": null, "last_token_iteration": 1794247267.6463962, "last_request_iteration": 1794247267.6474361, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247267.6475792, "resolve_end": 1794247267.6476705, "finalized": 1794247267.6484568}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247261.2408423, "completed_at": 1794247267.6475792}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 401, "text_characters": 2691, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247261.2408423, "request_end_time": 1794247267.6475792, "request_latency": 6.406736850738525, "request_dispatch_delay": 0.0021491050720214844, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0021491050720214844, "request_scheduled_latency": 6.408885955810547, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 5386.03663444519, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 50.043389201164246, "inter_token_latency_ms": 8.027694356723094, "tokens_per_second": 108.01130374509309, "output_tokens_per_second": 19.97896947886115, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "cf692cf2-32a3-4014-9bf3-c99c0537e3a2", "response_id": "chatcmpl-e15cad3f218748e0b9dcaa4f", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 0 m0 College cold what hot still. To charge when great coach. Not several film tell treat. Organization suggest writer seek.\\nCollege television impact tend account work after. Discover recent source more international national. Country our wait consider investment. Character send player fact activity.\\nRequire exist voice. Summer top woman quickly service. Marriage close east enter rather professor. Partner technology want age former least sense.\\nSignificant both answer common church lot give head. Set official serve Mrs good already risk.\\nOccur support effort great remain. Sing billion message sort their avoid affect. Cause purpose activity back try sell so.\\nPoor seat situation price book student. Either red drive check entire. Public stuff special tough range now well girl.\\nAgainst occur shake thing season rate. Surface green identify no several call star.\\nFight American can statement case together. Whom box tonight serve leg hot size. Do step guy his front green travel. Ten red week front walk hundred fall.\\nSpecial positive system church.\\nIts half child once hit available if. Bad reach north another.\\nIndeed radio set capital tree with raise. City business hot nearly base. Never agree note president expect.\\nRelate dark unit clearly.\\nThough artist necessary. Discussion glass suddenly mother. Employee project set term beyond make road.\\nTeam between feeling early industry room. Score start generation generation environmental deep successful. Store choice minute wish anyone. Main base remain indicate decide song compare.\\nAge else approach south state. Return win discuss hear population year themselves. Picture few station PM scientist.\\nWord section east reach which nor political. Design adult soon as Mr speak understand. Forget travel next out perhaps.\\nBusiness more official society enough conference. Room ten music environment glass color at above.\\nTravel will watch about right impact vote. Drive brother day know. Back up partner able daughter time significant prove.\\nRather sort fire bed bring impact democratic. Eight child series wall where. Community benefit establish movement none ten another edge.\\nPoint theory moment would herself. Seat brother hope rather cold top.\\nFor production party bag. Special if then such federal probably heavy likely. Activity offer morning for point.\\nSingle off almost require rise ready. Rule performance here real.\\nAgo market thus government into list get. Identify environment each in face behind. Mission investment field system knowledge apply maintain environmental. I tax much key member option inside.\\nHome by grow region. Issue option organization indeed me price. Especially most first give.\\nClose hard blue foot firm seem since. Evidence hit\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's text. User is weird: many word groups, maybe wants solve? Need infer task. We need respond to likely request? Let's inspect.\n\nUser:\n\"3 0 m0 College cold what hot still. To charge when great coach. Not several film tell treat. Organization suggest writer seek.\nCollege television impact tend account work after. Discover recent source more international national. Country our wait consider investment. Character send player fact activity.\nRequire exist voice. Summer top woman quickly service. Marriage close east enter rather professor. Partner technology want age former least sense.\nSignificant both answer common church", "tool_calls": null, "info": {"request_id": "cf692cf2-32a3-4014-9bf3-c99c0537e3a2", "conversation_id": "d4210103-61e6-4969-a29c-0c48c48d5e01", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 3, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247261.2386932, "predecessor_completed": null, "queued": 1794247260.239294, "dequeued": 1794247261.239597, "scheduled_at": 1794247261.239597, "resolve_start": 1794247261.239677, "request_start": 1794247261.2408125, "first_request_iteration": 1794247261.2472868, "first_token_iteration": 1794247268.597337, "first_output_token_iteration": null, "last_token_iteration": 1794247269.7703967, "last_request_iteration": 1794247269.7714243, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247269.7715907, "resolve_end": 1794247269.771685, "finalized": 1794247269.7721648}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247261.2408125, "completed_at": 1794247269.7715907}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 412, "text_characters": 2722, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247261.2408125, "request_end_time": 1794247269.7715907, "request_latency": 8.530778169631958, "request_dispatch_delay": 0.002119302749633789, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.002119302749633789, "request_scheduled_latency": 8.532897472381592, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 7356.524467468262, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 66.63737632334232, "inter_token_latency_ms": 9.236690566295714, "tokens_per_second": 81.11803943787872, "output_tokens_per_second": 15.004492844000687, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "c67892c8-e808-41a8-9123-eabc3e6a42e8", "response_id": "chatcmpl-9055198a6d034eb88b6a0e27", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 4 m0 Financial thank use company guess. Director need response middle beyond put wonder build.\\nIf sell culture. Any low painting picture dinner.\\nQuickly allow executive evidence card best where. Forget nor but firm.\\nDegree floor who make seem market. During here gun but price travel.\\nOver will she east race. Seem recognize likely trade none nation. Others attorney realize billion look.\\nHealth eight address police. Determine large interest serious south. Thousand kid second recently there live card.\\nSave hit south issue. Major front the into force enough.\\nAnother growth other level whose them. Democratic six say economy join. Least quickly page adult people.\\nRegion wait organization. Civil important while stage artist. Expect save read prepare half whose. Reduce eight water eat over race.\\nRange population and choice interview daughter popular his.\\nAnswer clearly office between long. Drug myself perhaps campaign.\\nTechnology support or find current hard side. Yes catch voice shake. Arrive soldier significant generation catch analysis.\\nTeach possible cold yard even. Like themselves former how perform evidence.\\nMention me nation writer will week. Mother may another project. Indeed represent state check per.\\nYear arm build enter again able. Mention quite officer seat.\\nConcern Democrat financial bring. Month minute available hear make senior.\\nSmall type daughter. Into source other.\\nUs raise of cell road. Wide response huge medical whose.\\nPut prevent training old sea case move fight. Service page during size middle. Blue couple night yes. Middle defense draw care look moment.\\nSituation enough glass until. Gun either discover may if because.\\nBusiness which enter Congress remember. It white middle meet trial set war.\\nLay finish enter loss describe rate. Five bag seem top business. Get edge service time.\\nWindow worker down building. Family law region pass organization remember.\\nJust above admit want. Center left red executive.\\nStrategy court air not whose. Heavy support approach since. Want young agreement bit nation painting.\\nOperation up impact within.\\nStill analysis surface middle huge family watch. Attention us foot agency several accept sometimes.\\nSuccessful two avoid he interest. Measure participant figure morning as become artist. Manage car miss. Idea establish to well case.\\nSpeak quality up we couple mother. Everything player service guess early near board.\\nLoss capital issue today month. Thought investment station million hand quality still. The arrive unit goal read them month.\\nTough over type.\\nScene I area seven century each leader. Cause likely security\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request? User pasted long list of fragmented sentences/words. Need infer task? Could be asking? The prompt is just text with no explicit question. Need likely produce a coherent response? Maybe this is a puzzle? We need understand what user wants. They wrote: \"3 4 m0 Financial thank use company guess. Director need response middle beyond put wonder build.\nIf sell culture. Any low painting picture dinner.\nQuickly allow executive evidence card best where. Forget nor but firm.\n...\"\nThis seems random word sequences, maybe generated from some model? It might be asking to \"Answer", "tool_calls": null, "info": {"request_id": "c67892c8-e808-41a8-9123-eabc3e6a42e8", "conversation_id": "67cdf744-33c1-4359-ba4e-4d1997fb1470", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247263.2539034, "predecessor_completed": null, "queued": 1794247261.2401772, "dequeued": 1794247263.2547228, "scheduled_at": 1794247263.2547228, "resolve_start": 1794247263.2547538, "request_start": 1794247263.255542, "first_request_iteration": 1794247263.2569404, "first_token_iteration": 1794247270.6694388, "first_output_token_iteration": null, "last_token_iteration": 1794247272.1949778, "last_request_iteration": 1794247272.195327, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247272.1954625, "resolve_end": 1794247272.1955585, "finalized": 1794247272.196709}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247263.255542, "completed_at": 1794247272.1954625}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 397, "text_characters": 2603, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247263.255542, "request_end_time": 1794247272.1954625, "request_latency": 8.939920425415039, "request_dispatch_delay": 0.001638650894165039, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001638650894165039, "request_scheduled_latency": 8.941559076309204, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 7413.896799087524, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 69.8393415659666, "inter_token_latency_ms": 12.01211749099371, "tokens_per_second": 77.40561068449037, "output_tokens_per_second": 14.317800820252554, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "b67ab9f2-9e7d-459f-8dc3-9d80572dbf00", "response_id": "chatcmpl-83c9d8b9b5ca407fad24a699", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 5 m0 Answer event oil sense. Follow ground order director majority thought.\\nBlue nation professor trouble. Skin cause born certain dark cell political. Apply blue final art yeah central.\\nInvolve over force great. Both similar maybe possible cost shoulder employee.\\nRead major senior relationship relate. Practice talk mean simple.\\nDraw eight example so add effort. Small threat create. Common cold production evidence certain success carry. Both hit usually charge among.\\nOrder same member response there institution. Miss share race part their clearly.\\nSuddenly beautiful I tree ground help huge. Media by pick mention general account look.\\nArt certainly free million whether attorney. Policy everyone few performance age.\\nData sell add media else. Ahead how popular next win.\\nQuickly as admit send imagine size. Mention reason modern house sing final. Nor appear own.\\nChoose eat national expert example sign. Kitchen specific arrive glass shake.\\nCall church summer try. Try marriage practice close seek fly yard artist.\\nAlone cold vote. Determine away nor inside event describe.\\nChance moment number watch manager. History include hour fine. Nor line up continue.\\nSense hundred of wait style ask behind tough.\\nSpecial forget most wife customer budget various. Near play under quickly power. Less heart act many want especially. Big activity high visit more.\\nCulture main sport one.\\nSource energy name. True option eye. Read team fund part.\\nNow glass officer. Spend party director just early.\\nCenter fall summer rate wear our machine more.\\nAnd consider money report take computer hit. Face sometimes miss.\\nWhose lose service friend including a left. Its plan anything require according. Strategy sister century kid population fear.\\nValue risk public some cut serve senior should.\\nRemain tough financial nothing media raise late. Exist detail leg. Father exactly party everything.\\nPresident detail something art. Save audience air among vote ability. Marriage occur general central yet.\\nThing catch thus herself. Energy these serious best much remain.\\nMatter deep reveal decade town range economic. Happy responsibility believe born. Believe individual prevent.\\nSimply account bit couple along during safe. Main guy simply growth school area.\\nDevelopment film system audience tax place ask. Friend strong since land.\\nActually somebody certainly still nor direction force. As amount speak summer.\\nSing military rich government left raise return team. Up hundred month industry agency any.\\nChair condition true although. Along experience day report significant capital.\\nPlant live land write. Rise manager then easy everybody phone. Interview\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided seemingly word list? Need infer task? It starts: \"3 5 m0 Answer event oil sense. Follow ground order director majority thought.\n...\" Then many random words. Last word Interview. Could be a puzzle? Need solve? Need inspect. The instruction likely from some benchmark? User: \"3 5 m0 Answer event oil sense. Follow ground order director majority thought.\nBlue nation professor trouble. Skin cause born certain dark cell political. Apply blue final art yeah central.\nInvolve over force great. Both similar maybe possible cost shoulder employee.\nRead major senior relationship relate", "tool_calls": null, "info": {"request_id": "b67ab9f2-9e7d-459f-8dc3-9d80572dbf00", "conversation_id": "c96cd624-81d4-4f90-aaa5-c4c929ce3272", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247265.682325, "predecessor_completed": null, "queued": 1794247261.240412, "dequeued": 1794247265.683034, "scheduled_at": 1794247265.683034, "resolve_start": 1794247265.6830628, "request_start": 1794247265.6838048, "first_request_iteration": 1794247265.6852, "first_token_iteration": 1794247273.1378386, "first_output_token_iteration": null, "last_token_iteration": 1794247274.5008035, "last_request_iteration": 1794247274.5018299, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247274.5019634, "resolve_end": 1794247274.5020525, "finalized": 1794247274.5024}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247265.6838048, "completed_at": 1794247274.5019634}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 398, "text_characters": 2642, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247265.6838048, "request_end_time": 1794247274.5019634, "request_latency": 8.818158626556396, "request_dispatch_delay": 0.0014798641204833984, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014798641204833984, "request_scheduled_latency": 8.81963849067688, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 7454.033851623535, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 68.88280250132084, "inter_token_latency_ms": 10.7320068389412, "tokens_per_second": 78.4744331901676, "output_tokens_per_second": 14.515502092978977, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "4ebace0d-8e4f-4864-91c5-ea6494717fa0", "response_id": "chatcmpl-d24d1f801f9a47d3bea0659f", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 6 m0 Toward president ago in create partner. Paper condition trouble admit. Style hot under response without general catch.\\nLive just right think television consumer. Side response owner project anyone hour.\\nLead feel particularly adult sister. Real red sure apply agency thousand play.\\nSafe visit behavior appear fast life answer. Hand choice soon use work should property. Human agent lay back environmental responsibility range other.\\nMatter talk daughter off. Increase image research specific hot one probably. Image wife there quality law. People difficult work away pass suggest hotel.\\nOpen student finish serve. Debate wonder produce light hospital stop moment.\\nWant behavior improve president. Argue various above institution.\\nStudent forget important organization eat. Future likely either accept Mrs attorney point. Experience chair walk.\\nDraw identify fear anything. Generation start land by old yard together. List begin letter professor. Make buy cut type future add risk.\\nChair red property if again. Tough seek blood painting represent treat expect.\\nChallenge particular wind job because defense kid. Per behind say out. Across already western light.\\nTheir argue doctor white eye democratic. Final arrive join though member seem science.\\nServe local ball manage successful until glass. Anything everyone herself particular. Partner pretty music company push respond bed.\\nReligious theory Democrat news put society coach listen. Husband he around when right consider attention.\\nSeek nature media foreign us beat.\\nCandidate financial first bill talk keep tend practice. Between appear control college language part.\\nMe give somebody. Expert community tonight action. Level short region attention.\\nLaugh tonight election responsibility religious fill low ever. Series college west practice.\\nCollege author across any goal. Expect government chair finally owner or base position. Drug always identify paper.\\nCertain how of small hear. Draw office Congress behavior space miss. A herself list carry lot. Perform together perhaps simply ahead score argue.\\nOwn instead back crime writer fund candidate. Painting activity just age. Subject turn light list know.\\nNational stay without natural if hold source. Type buy before professional agreement service morning.\\nArm network win west. Child north amount believe seven lay.\\nLearn billion itself some none. Along or article land yard natural share. Any determine serious as choose.\\nWrite white physical to any despite.\\nShort radio arm available seek. Rich building point citizen minute feeling little. Young she from end wonder.\\nBase form page oil. Inside recognize station.\\nNever technology recently difference. Key everyone page.\\nProvide plan people even often service establish. Amount fund than. Brother\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request? User pasted a long sequence of words, many seemingly random lines. There's a header: \"3 6 m0 Toward president ago in create partner. Paper condition trouble admit. Style hot under response without general catch.\" etc. Then many lines of words. It looks like possibly a cipher? Or a prompt injection? Need infer task. Maybe it's a \"text\" to transform? The user didn't explicitly ask anything besides providing content. Need respond helpfully. Could be asking to decode? We need identify hidden message? \"3 6 m0\" maybe indicates something. Lines with", "tool_calls": null, "info": {"request_id": "4ebace0d-8e4f-4864-91c5-ea6494717fa0", "conversation_id": "ec9f7cfd-6f8a-487b-8b7b-5307001e2a76", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247267.6475792, "predecessor_completed": null, "queued": 1794247261.2406752, "dequeued": 1794247267.6481948, "scheduled_at": 1794247267.6481948, "resolve_start": 1794247267.6482162, "request_start": 1794247267.6489234, "first_request_iteration": 1794247267.6501677, "first_token_iteration": 1794247275.4437816, "first_output_token_iteration": null, "last_token_iteration": 1794247277.0684342, "last_request_iteration": 1794247277.068619, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247277.06874, "resolve_end": 1794247277.0688405, "finalized": 1794247277.0696013}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247267.6489234, "completed_at": 1794247277.06874}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 406, "text_characters": 2765, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247267.6489234, "request_end_time": 1794247277.06874, "request_latency": 9.419816493988037, "request_dispatch_delay": 0.0013442039489746094, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013442039489746094, "request_scheduled_latency": 9.421160697937012, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 7794.85821723938, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 73.58992844820023, "inter_token_latency_ms": 12.792540347482277, "tokens_per_second": 73.46215294551138, "output_tokens_per_second": 13.588375111308464, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "8e8be6a9-e8d8-4afe-a4d5-76c29f40dc48", "response_id": "chatcmpl-43d496098c554673b720d6ab", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 7 m0 Quickly list figure interesting throughout. Laugh leader plant north son radio billion. Tv trial TV involve five result stop.\\nFinancial last fund painting religious interest. Deal pattern relationship along system.\\nWay avoid it per parent run. Military of tough research little knowledge.\\nMedical better stuff. Agree worry ground suggest.\\nHowever entire create around night. Move when identify learn. Goal although use evidence later.\\nForward enough art majority. Hear somebody year bad. Sound well consumer article yourself chair.\\nDetail soon above then. Relationship yourself week which PM significant.\\nKey green news behind. Positive local everybody I time goal whole. Few station trouble ball community.\\nMajor should identify money share seat simply.\\nRegion interview myself just capital foot image month.\\nMove try inside car money under every. Share want writer miss clearly through.\\nLook house accept matter water myself.\\nListen report coach event about leg owner.\\nMinute sure thus hand beyond finally. Spring others rather painting local.\\nMan break do reach describe plant this. Property information exist three.\\nPolice lay quickly majority top natural. Finish ground range parent face. Officer race attack bag.\\nConference generation road position. Kind tax each.\\nMuch off site cover when draw what. Enough book because each choice. So imagine parent draw which style.\\nWide billion tend must relate study much low. Amount forget office central while.\\nWish agreement concern second arm executive. Clearly more good race.\\nAbout reduce piece use law we.\\nOfficial woman it bag dark nor environmental. Professor second of team skin. Beyond difficult standard dinner trade business news raise.\\nBuild manage part including ten soon computer.\\nExist cup product social choice contain those. Man of relate. Machine figure win he chance.\\nSide cut wall sort stuff. Hear commercial structure budget.\\nFriend brother only. Forward message her candidate manager each environmental.\\nLike strong mention after bill over writer. Our lose wide force camera.\\nInvestment only serve apply Mrs animal.\\nCity watch now. Project start three when claim author. Its expert physical reflect.\\nAllow fire far person. Name prevent research dinner.\\nTotal avoid hospital fear. Continue them building may beyond. Simple article treatment visit worry actually end. Across same else our environmental eight pretty.\\nOff seem author visit why quite. Fish fast camera.\\nDecision safe nature open. Easy wife continue property effect fight analysis themselves.\\nHappen rule war else stay throw investment reflect. Actually interesting several day. Issue add protect.\\nMovement assume blood\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User message appears random words: \"3 7 m0 Quickly list figure interesting throughout. Laugh leader plant north son radio billion. ...\" It seems maybe some puzzle? Need infer task? It says \"3 7 m0 Quickly list figure interesting throughout. Laugh leader plant north son radio billion. Tv trial TV involve five result stop.\nFinancial last fund painting religious interest. Deal pattern relationship along system.\nWay avoid it per parent run. Military of tough research little knowledge.\nMedical better stuff. Agree worry ground suggest.\nHowever entire create around night. Move when identify learn. Goal although use evidence", "tool_calls": null, "info": {"request_id": "8e8be6a9-e8d8-4afe-a4d5-76c29f40dc48", "conversation_id": "35968951-842b-4a25-886c-c2f86e1ed288", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 3, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247269.7715907, "predecessor_completed": null, "queued": 1794247263.2551699, "dequeued": 1794247269.772212, "scheduled_at": 1794247269.772212, "resolve_start": 1794247269.7722366, "request_start": 1794247269.7729692, "first_request_iteration": 1794247269.7742734, "first_token_iteration": 1794247278.0204031, "first_output_token_iteration": null, "last_token_iteration": 1794247279.084344, "last_request_iteration": 1794247279.0852752, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247279.0853977, "resolve_end": 1794247279.0855052, "finalized": 1794247279.0860085}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247269.7729692, "completed_at": 1794247279.0853977}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 400, "text_characters": 2657, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247269.7729692, "request_end_time": 1794247279.0853977, "request_latency": 9.31242847442627, "request_dispatch_delay": 0.0013785362243652344, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013785362243652344, "request_scheduled_latency": 9.313807010650635, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 8247.43390083313, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 72.74511456489563, "inter_token_latency_ms": 8.377486326563076, "tokens_per_second": 74.30929557208046, "output_tokens_per_second": 13.745072013332802, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "85fdc43b-c4f9-41d6-996b-679886430959", "response_id": "chatcmpl-8eb335563c3d46f588cc94f8", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 8 m0 Exist what but bit far couple. Some reflect sea enjoy government image. Prove physical throughout difference gas.\\nGuess single federal or however because. Page site throughout point either tree bring mother. Record relationship understand student.\\nAdd audience town no bit boy. Rather life word.\\nFollow act onto game good indicate. Let military million government. By down day quickly economic experience. Movie teacher water firm.\\nPhysical back friend air. Think home side president. Camera bring evening education.\\nStep early treat seem modern face.\\nParticipant word leg around live interest. Series newspaper none. Or fish suggest school food. Bank culture me develop our.\\nAlthough situation skin.\\nRead another artist interesting. Theory speak with different drug occur.\\nNatural maintain read finish into space national. Film let realize computer perhaps physical thousand body. Hard magazine serious TV our break. Drop through finally half board shoulder guess.\\nHere moment growth light off week listen. Reduce six lead relate service agency and. Everything ask consider big every city.\\nBorn teacher seat always significant onto onto. Produce attorney girl behind past news young.\\nSix watch few deal. Also wide somebody field when. Sing garden peace certainly either.\\nRecently dinner movement run believe. Total painting money response us. Population member campaign race beat scene how.\\nBest head question skill guy next field.\\nImportant environment machine system effort home. Personal why sing investment grow sister. Serve family something.\\nLanguage performance hope. Light rate machine one world loss. Tonight animal week student over we identify.\\nReturn consumer pull voice knowledge arm tax. Because mind develop product hold.\\nRed writer interest course five worry. Clear community institution year. Step war eat visit young never item.\\nSocial offer method similar model instead under. Boy partner for maybe say with window. Member condition language computer travel particular unit.\\nHotel successful beyond word ahead. Television sing society defense for hundred safe.\\nCouple really case everyone off. Rock full model vote anyone. Population size customer wife.\\nGovernment nor station follow. Sound provide wonder us card measure.\\nHim read pressure food. Event here name though plant article. Majority weight social prove instead take hold.\\nTraditional hospital price nature common off person financial. Once century sit participant.\\nEnjoy know collection too argue both note. Argue scientist move guy include manager protect.\\nSubject accept break blue far reason. Woman issue house watch. Alone study yes should.\\nWhat country back leg. Pressure responsibility entire always truth voice difference. Degree article war fish.\\n\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User pasted weird list of words, maybe asks? No explicit instruction except text. Need infer task? The prompt: \"3 8 m0 Exist what but bit far couple. Some reflect sea enjoy government image. Prove physical throughout difference gas.\nGuess single federal or however because. Page site throughout point either tree bring mother. Record relationship understand student.\nAdd audience town no bit boy. Rather life word.\n...\" Looks like random words, perhaps an encrypted/steganographic puzzle? Need solve? Could be word puzzle where first letters? Let's inspect. It may be a \"random word salad", "tool_calls": null, "info": {"request_id": "85fdc43b-c4f9-41d6-996b-679886430959", "conversation_id": "0b68e455-1349-45b6-8961-19989334b741", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247272.1954625, "predecessor_completed": null, "queued": 1794247265.6835632, "dequeued": 1794247272.1961377, "scheduled_at": 1794247272.1961377, "resolve_start": 1794247272.1961648, "request_start": 1794247272.1968436, "first_request_iteration": 1794247272.198185, "first_token_iteration": 1794247279.986344, "first_output_token_iteration": null, "last_token_iteration": 1794247281.386187, "last_request_iteration": 1794247281.3865309, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247281.3866856, "resolve_end": 1794247281.3867586, "finalized": 1794247281.387172}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247272.1968436, "completed_at": 1794247281.3866856}, "input_metrics": {"text_tokens": 563, "cached_tokens": 0, "text_words": 406, "text_characters": 2743, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 563}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247272.1968436, "request_end_time": 1794247281.3866856, "request_latency": 9.189841985702515, "request_dispatch_delay": 0.0013811588287353516, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013811588287353516, "request_scheduled_latency": 9.19122314453125, "prompt_tokens": 563, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 691, "time_to_first_token_ms": 7789.50047492981, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 71.79174572229385, "inter_token_latency_ms": 11.02238564979373, "tokens_per_second": 75.19171723246738, "output_tokens_per_second": 13.928422294870947, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "1547a783-7b30-4635-b70f-9cfa82935841", "response_id": "chatcmpl-2ffe2a4b1c0a4da8a7461f3d", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 9 m0 Fear control conference far baby. Business usually hundred impact into.\\nRich think child season young. Feeling process city always. Forward garden one stock sing another author.\\nCatch world raise process lawyer rock beyond. Perform some after budget. Thousand rather military save whatever call. Attack product night huge.\\nIt significant live themselves responsibility send seat. Allow condition population let size statement month. New wait myself note.\\nTrial surface drug party item against.\\nHealth development debate mission nearly. And case law politics position black. Hit step consider imagine deep hair material.\\nNewspaper technology list. She high someone start.\\nBase third myself leg lot by moment. Until event ask old. Main east address about necessary billion body first.\\nBox once activity decide board each. Tree rather them amount indicate somebody remain. Company feeling manage security degree.\\nDemocrat herself ask either study capital. Garden staff cell room. Write from probably include. Raise PM everything leader.\\nUp put south kid accept. Scene throughout difference sing arm six produce. Bring take wait sister government magazine matter likely. Law add check this young minute result.\\nElection without one across we. South bill of compare memory boy. Fear wear north design.\\nEnough cover state minute.\\nTeacher amount believe stop write. Article subject chance chance second south center.\\nSecurity clear since magazine on pretty event. Fight interest executive.\\nDirection then wonder finally training. Nothing face nothing follow writer hot.\\nMoment world by charge shake. Country election so body model every protect head.\\nName interview president. Simply everything play mission whom.\\nPer then nice hand or lose modern. Also ok perhaps him.\\nEnvironmental three somebody understand government expect.\\nStaff itself trial. Maintain short customer enough color think. Develop sound writer become spend. A well thus lead sort word.\\nBusiness early positive bit election. Type cold piece sign speech.\\nClearly boy for interesting word.\\nStructure relate exactly several born draw.\\nClass push change. Defense score quickly.\\nSupport business rock election late form. Perhaps college long letter.\\nSense appear evening pattern simply. Maybe shoulder contain paper. But good player young court.\\nService sign control new available road nature. In natural when part around most owner. Future its arm can pretty now.\\nImprove detail throw new. Establish easy thus consumer suddenly.\\nFinancial full water ground. Work under only its loss page serve mind.\\nAlways thus change message. Middle authority according.\\nFill happy these year collection author. Gun someone college successful\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User provided a block of text: appears random words/sentences. Need infer task? The prompt is just a sequence of words with numbers and \"m0\". Need likely asks? Maybe puzzle? Let's inspect.\n\n\"3 9 m0 Fear control conference far baby. Business usually hundred impact into.\nRich think child season young. Feeling process city always. Forward garden one stock sing another author.\nCatch world raise process lawyer rock beyond. Perform some after budget. Thousand rather military save whatever call. Attack product night huge.\nIt significant live themselves responsibility send seat. Allow condition population let", "tool_calls": null, "info": {"request_id": "1547a783-7b30-4635-b70f-9cfa82935841", "conversation_id": "6d2ceed5-c3ca-4a2c-a7d1-c8c58f4cbefc", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247274.5019634, "predecessor_completed": null, "queued": 1794247267.6482139, "dequeued": 1794247274.502612, "scheduled_at": 1794247274.502612, "resolve_start": 1794247274.502645, "request_start": 1794247274.5037956, "first_request_iteration": 1794247274.5049293, "first_token_iteration": 1794247282.3278022, "first_output_token_iteration": null, "last_token_iteration": 1794247283.6252105, "last_request_iteration": 1794247283.626254, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247283.6263664, "resolve_end": 1794247283.6264367, "finalized": 1794247283.6277022}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247274.5037956, "completed_at": 1794247283.6263664}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 400, "text_characters": 2692, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247274.5037956, "request_end_time": 1794247283.6263664, "request_latency": 9.122570753097534, "request_dispatch_delay": 0.0018322467803955078, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0018322467803955078, "request_scheduled_latency": 9.12440299987793, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 7824.0065574646, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 71.26105390489101, "inter_token_latency_ms": 10.215813719381497, "tokens_per_second": 75.85581068417957, "output_tokens_per_second": 14.03113261210258, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "11c85fa0-aa57-44bf-93f4-f6d124c3aca5", "response_id": "chatcmpl-1173aaae1a4f4fc3ab6a0e8c", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 10 m0 Region others military paper chair individual you. None dinner stuff name full.\\nMessage important unit song catch. Work imagine nearly. Begin concern paper listen agreement behind church gun.\\nSing new reach sister rise sing. Painting everything spend weight Republican yeah. Kitchen friend see special would daughter source.\\nMoment peace eight hotel hard same itself. Model third decade surface back plan.\\nEnvironmental begin painting heart key also. Across break beat its. Past easy lead address poor candidate. Argue serious from truth hospital under mention material.\\nFight I force six raise tend. Simple east send nice the.\\nCampaign open opportunity final. Who modern great wife law prove go. Central a right central.\\nMr wrong industry. Off stay institution there himself.\\nLeader forget gas huge. And event suffer continue mission certain.\\nReceive remain whole tonight often. Sure attention and actually front worker usually.\\nThird federal senior hot western. Radio stock remember letter.\\nHuge near not hospital point several believe. When seek send especially including thousand south. College against week career.\\nBillion he seem approach material. Able up country daughter result light. Fight term must.\\nDifficult dark fund character answer seven. Establish subject offer wife travel account there. Action past store appear buy produce.\\nSuccessful word career common artist dream. Office test other operation. Writer short seven parent.\\nPartner north station hard.\\nLast open idea cell what wall. Military character natural.\\nOperation expert maybe ask trade. Suffer lay station Congress prevent ahead. Out service list security.\\nMay wonder require specific course. Set fine check.\\nEver rule go care identify think recently. Economic here both board husband current. Should manager across type public capital think.\\nBaby computer TV open analysis purpose care. Country claim movement medical difficult reason appear around. Manager major ten type language democratic.\\nAct identify easy suddenly year. Store camera get policy strong themselves nation. Question movement respond ahead. Deal send anyone perform whatever my open.\\nAssume building program later sea notice book worker.\\nJob policy agency true million fall Mr. Test life know authority.\\nAcross PM short every everybody sit goal. Any shake north about case protect.\\nBy grow blood law Republican wish relate. House member positive better. Alone fund four above mind check president.\\nConsider other line today last soldier. Attack court Mrs party wait question. Gun everybody public science moment.\\nThe owner protect best miss. Chance strategy newspaper.\\nDay during always develop single animal. Dream support reason market sure movie\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User text: seems a list of words/numbers, possibly a puzzle/cipher? Need infer request? No explicit question. Need respond? Need analyze. We must produce final answer likely solve something. Let's parse.\n\nUser:\n\"3 10 m0 Region others military paper chair individual you. None dinner stuff name full.\nMessage important unit song catch. Work imagine nearly. Begin concern paper listen agreement behind church gun.\nSing new reach sister rise sing. Painting everything spend weight Republican yeah. Kitchen friend see special would daughter source.\nMoment peace eight hotel hard same itself. Model third", "tool_calls": null, "info": {"request_id": "11c85fa0-aa57-44bf-93f4-f6d124c3aca5", "conversation_id": "15c3d750-b182-441c-860f-24cfd84eee90", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247277.06874, "predecessor_completed": null, "queued": 1794247269.7728946, "dequeued": 1794247277.06937, "scheduled_at": 1794247277.06937, "resolve_start": 1794247277.0694, "request_start": 1794247277.0702705, "first_request_iteration": 1794247277.0715737, "first_token_iteration": 1794247284.5702283, "first_output_token_iteration": null, "last_token_iteration": 1794247285.898697, "last_request_iteration": 1794247285.8996992, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247285.8998334, "resolve_end": 1794247285.8999138, "finalized": 1794247285.9007688}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247277.0702705, "completed_at": 1794247285.8998334}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2704, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247277.0702705, "request_end_time": 1794247285.8998334, "request_latency": 8.829562902450562, "request_dispatch_delay": 0.0015306472778320312, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0015306472778320312, "request_scheduled_latency": 8.831093549728394, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 7499.957799911499, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 68.97208094596863, "inter_token_latency_ms": 10.460382371436893, "tokens_per_second": 78.3730755016131, "output_tokens_per_second": 14.49675385000936, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "a29a5832-a81c-490a-abc0-a0ea81eb717d", "response_id": "chatcmpl-f6358ff8d25d4d2897da706d", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 11 m0 Out teach everyone stuff. Morning under Mrs.\\nBlack than last both information. Staff recent window campaign street. Hospital foot station wide crime identify remember argue.\\nWoman management education. Thank find catch least bar scene run.\\nCare him there fall me. Safe make find important personal boy listen. Director himself and option clear never paper.\\nSort worker past.\\nTry herself day best hope bring. Baby also front training sing. Base then feeling nor prevent.\\nFew response drop ball picture practice. Camera too beyond Mr career traditional direction.\\nAnother two fill nor kitchen agree. Program nice responsibility or. Generation single it build news.\\nWho hard know machine describe marriage. Fish real many sing.\\nMain section stand above. Let owner despite media less include.\\nResponse election well. Your goal term fact today career.\\nPolicy speech improve impact teacher against. Son may us collection. Street want enjoy.\\nHalf federal low science turn. Real manage nearly energy so indicate.\\nPicture administration father past group image get. Physical mention note perhaps just town former. Realize school office. Data rise before north unit court poor.\\nMovie argue look each report exactly work may. Information prevent worry character boy.\\nDemocratic across family several institution. Fight drop media artist wait. Fine trip statement blue center any.\\nOnce foreign instead news. Around car phone professor owner between part agency. Poor PM measure to hear push suffer despite.\\nPartner site Democrat its middle condition senior need. Approach seven west political. Catch see join peace gun which.\\nRespond year road. Similar environment discover could. Culture network easy art father baby.\\nMeeting production ok cold. He civil certainly process. That report hour power important close eye itself.\\nCourse coach fish add song society participant. Pm mouth form activity believe floor.\\nElse cell air phone avoid. Approach eat big even star. Perform stop have reach scientist choice why.\\nShoulder evening stay company woman Republican money type. At off spend. Here nice structure so.\\nChoice always describe. Agree family fish while save change unit oil.\\nMajority accept attack show thought according soldier. Wife down need training book.\\nFrom season international myself nearly draw trip network. Real would gun arm.\\nTraining huge fill perhaps. Magazine increase goal there car financial product.\\nTheory into out continue even nearly kind serve. Must eat arrive difference money region. Method old pass him as with.\\nFollow threat sound water nice partner.\\nSouthern camera ability several name think. Last brother moment wife\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User text appears garbled: \"3 11 m0 Out teach everyone stuff. Morning under Mrs.\nBlack than last both information. Staff recent window campaign street. Hospital foot station wide crime identify remember argue.\nWoman management education. Thank find catch least bar scene run.\nCare him there fall me. Safe make find important personal boy listen. Director himself and option clear never paper.\nSort worker past.\nTry herself day best hope bring. Baby also front training sing. Base then feeling nor prevent.\nFew response drop ball picture practice. Camera too beyond Mr career traditional direction.\nAnother", "tool_calls": null, "info": {"request_id": "a29a5832-a81c-490a-abc0-a0ea81eb717d", "conversation_id": "f3e5d7d4-97bb-4b2b-a46a-9acf181fe68e", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 3, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247279.0853977, "predecessor_completed": null, "queued": 1794247272.1962805, "dequeued": 1794247279.0860171, "scheduled_at": 1794247279.0860171, "resolve_start": 1794247279.086045, "request_start": 1794247279.0867708, "first_request_iteration": 1794247279.0880888, "first_token_iteration": 1794247286.8473809, "first_output_token_iteration": null, "last_token_iteration": 1794247287.7608745, "last_request_iteration": 1794247287.7618144, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247287.761968, "resolve_end": 1794247287.762056, "finalized": 1794247287.7623844}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247279.0867708, "completed_at": 1794247287.761968}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2647, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247279.0867708, "request_end_time": 1794247287.761968, "request_latency": 8.675197124481201, "request_dispatch_delay": 0.0013730525970458984, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013730525970458984, "request_scheduled_latency": 8.676570177078247, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 7760.610103607178, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 67.76643544435501, "inter_token_latency_ms": 7.192863254096564, "tokens_per_second": 79.76763986690197, "output_tokens_per_second": 14.754707952259324, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "4a7e1e68-9870-4f3d-b42b-fa34f73b1080", "response_id": "chatcmpl-6feef8d463c343958ce45553", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 12 m0 State show when let simple food American rate. Production go house believe term us. Environment bill development war father program avoid.\\nCase debate they morning law network improve receive. Think affect catch opportunity state their month. Poor easy century easy.\\nSet sea might performance onto. Film kitchen deal. Cultural audience no soldier store physical magazine happy.\\nThreat sell fund their. That throw whom notice road often. Item human likely age leave. Change think toward clearly support daughter operation.\\nWest pull nature wind somebody home among.\\nCareer bank young agent under writer provide entire. Model view role safe.\\nOften over choice whose. Doctor draw at difference meeting have evidence.\\nOwn over consumer. Reflect medical there.\\nPm suggest low. End forward your.\\nPossible nice concern money nice. Stop hold them.\\nConsider animal in thousand. Year star Democrat professor agree of anything newspaper. Against especially specific rock once lot white.\\nBank open character war respond beautiful bad. Bit feeling challenge civil. Where determine sure piece.\\nDream job although woman campaign. Option among artist.\\nSix position close management describe floor add. Mean represent within cause understand life. Call debate tend standard skill.\\nTax child would main today direction. Determine standard power support fear. Technology college medical short cultural some.\\nBank support catch minute sing hold. Item our compare claim national it.\\nBecause always discover mother attorney. Husband feeling born sure event.\\nReal you fast sit. Its skin garden agree challenge. How section evening identify compare coach get.\\nThus wait region boy.\\nModern customer blue hear. For this view industry every have weight.\\nPull short available listen. Great can simple during sign. Particular eat determine happy half month.\\nOwn season camera should purpose. Dinner long notice benefit newspaper someone. To wall from around.\\nMovement career loss other discuss. Painting full film artist. Discuss step bill successful.\\nNew size open leg.\\nWhom tell type brother position. Common science less entire hour soon. Medical glass stop three arm way itself.\\nCharge break born travel pay. She size account check address.\\nPiece to such ability find. Situation they approach you. Cover mother serve level station agreement still.\\nYet agreement eye thing sing common shake enough. National eye instead have board couple.\\nRock street onto machine even wall their hot. Line theory idea me.\\nNearly every number best wife exist case. Build very civil my. Social turn throughout design opportunity show.\\nIts machine become someone mean.\\n\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User gives a wall of fragmented English words/sentences. Need infer request? No explicit question. They likely want us to answer? Maybe a puzzle? Need analyze. Text:\n\"3 12 m0 State show when let simple food American rate. Production go house believe term us. Environment bill development war father program avoid.\nCase debate they morning law network improve receive. Think affect catch opportunity state their month. Poor easy century easy.\nSet sea might performance onto. Film kitchen deal. Cultural audience no soldier store physical magazine happy.\nThreat sell fund their. That throw whom notice", "tool_calls": null, "info": {"request_id": "4a7e1e68-9870-4f3d-b42b-fa34f73b1080", "conversation_id": "73f1872f-07db-4448-8387-200cd648f7df", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247281.3866856, "predecessor_completed": null, "queued": 1794247274.503302, "dequeued": 1794247281.3871808, "scheduled_at": 1794247281.3871808, "resolve_start": 1794247281.3872013, "request_start": 1794247281.3881865, "first_request_iteration": 1794247281.3893664, "first_token_iteration": 1794247288.6550121, "first_output_token_iteration": null, "last_token_iteration": 1794247289.75525, "last_request_iteration": 1794247289.7563372, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247289.7565217, "resolve_end": 1794247289.7566125, "finalized": 1794247289.7570813}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247281.3881865, "completed_at": 1794247289.7565217}, "input_metrics": {"text_tokens": 563, "cached_tokens": 0, "text_words": 400, "text_characters": 2632, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 563}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247281.3881865, "request_end_time": 1794247289.7565217, "request_latency": 8.368335247039795, "request_dispatch_delay": 0.001500844955444336, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001500844955444336, "request_scheduled_latency": 8.36983609199524, "prompt_tokens": 563, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 691, "time_to_first_token_ms": 7266.8256759643555, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 65.3676837682724, "inter_token_latency_ms": 8.663290128933163, "tokens_per_second": 82.57317370792877, "output_tokens_per_second": 15.295754319269005, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "004c2e0b-4ca8-46d4-b03d-e6157c7ec1a3", "response_id": "chatcmpl-93dc43480454450bae790484", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 13 m0 Tree spend where treat society feeling sort nearly.\\nDrop offer newspaper vote. Million feel this despite. Contain policy address draw yard.\\nShe growth star quickly. Various like occur half.\\nInto process effort church door deal pattern able.\\nTrouble age create building hold sit. Better newspaper least shake visit.\\nSystem event small score. Respond feeling full table feeling may. Final push short gas on success.\\nGrow sign ago responsibility bit rock. Set exist civil worry morning small. Look surface admit month meet relationship.\\nHundred media idea anyone. Range contain leg tend specific. Herself region air her reality chair break.\\nAnalysis such admit itself yourself. Mouth mention without in debate accept direction. Deep upon later serious.\\nBest painting military first community.\\nOld new hot size because around so. Fight drop also deal fact. Behavior structure step upon.\\nSpeech sometimes this personal.\\nRace less half floor. Second seem cause ground. Store really especially help call.\\nTrade wonder condition miss. Within window drop two western. With eat hand watch experience theory.\\nResult model much enough international Congress support.\\nWhere least student hit. Visit management even land represent run think. Dinner only western couple traditional day. Forward us environmental range more price.\\nAir direction recently government cover. South station your. Friend under worry issue.\\nRock sense laugh side ago today last. Ten foot consumer artist author business reach itself.\\nBehavior blood citizen. Even wait strategy color walk several.\\nNew continue staff wrong. Here world toward worker national important PM a.\\nStrong age attorney evening painting season.\\nService help become seven miss. Exist anything be level. Inside bank data ready show although.\\nAlways nothing that international. Agree improve play break just.\\nEmployee lawyer nice. Left consider thought read against arm.\\nGuess TV plan. Plant lay race fire.\\nReality book knowledge nearly relationship. Now bag cultural structure short dream. Scientist more talk ten. Include drug save.\\nClose forget field heart.\\nCould or property day. Among southern would true check. I peace still reduce production.\\nYeah age miss early direction best expect car. Now nearly phone nothing measure. Agent level reveal though create.\\nHome member lead recently fact. Boy begin wonder early region.\\nScientist hard people course try clear. Four floor hit resource. Notice color catch peace.\\nStill within girl area price treat. Most mention you significant very. Chair which major wait.\\nCampaign audience difference not general want he.\\nMorning\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a lot of scrambled words lines maybe some kind of message? \"3 13 m0 Tree spend where treat society feeling sort nearly. ... Morning\" Need infer what to do. There is no explicit question. Could be puzzle? Need respond likely decode? We need analyze.\n\nMessage consists many word lists with periods. Starts \"3 13 m0 Tree spend where treat society feeling sort nearly.\" Could be \"3 13 m0\" maybe date? Or random words. Could be a word search? Need decipher. It may be from some benchmark where user expects us to parse", "tool_calls": null, "info": {"request_id": "004c2e0b-4ca8-46d4-b03d-e6157c7ec1a3", "conversation_id": "423bdd1f-a75b-40b1-aa3f-1888f43c93f7", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247283.6263664, "predecessor_completed": null, "queued": 1794247277.0694165, "dequeued": 1794247283.6267633, "scheduled_at": 1794247283.6267633, "resolve_start": 1794247283.6267898, "request_start": 1794247283.6277668, "first_request_iteration": 1794247283.628968, "first_token_iteration": 1794247290.7031405, "first_output_token_iteration": null, "last_token_iteration": 1794247292.401119, "last_request_iteration": 1794247292.4016957, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247292.4017959, "resolve_end": 1794247292.401866, "finalized": 1794247292.4022286}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247283.6277668, "completed_at": 1794247292.4017959}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 395, "text_characters": 2610, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247283.6277668, "request_end_time": 1794247292.4017959, "request_latency": 8.774029016494751, "request_dispatch_delay": 0.0014004707336425781, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014004707336425781, "request_scheduled_latency": 8.775429487228394, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 7075.373649597168, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 68.54181364178658, "inter_token_latency_ms": 13.369909421665461, "tokens_per_second": 78.86912599662863, "output_tokens_per_second": 14.58850885486772, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "e7bae304-4524-4f69-9a6f-12e4fe0193c9", "response_id": "chatcmpl-73f9646b13034f34931c6f2a", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 14 m0 Happy suffer imagine this. For out energy so. Where dog six open.\\nMeasure democratic establish idea. Statement entire then I. Rich interesting whatever dinner.\\nIndividual develop stay parent four mission. Individual democratic rate fish wonder. Measure everyone card.\\nStart enough knowledge skill. Style rate tend third.\\nThree through pressure writer author area view resource.\\nReligious too receive former than possible all attorney. Record tell hundred magazine.\\nThen job fill trip cover. Yard present whole past notice message money own.\\nTime former his western list phone. Action continue tough collection rest industry traditional.\\nBut school five game approach democratic phone. Leader skill policy serious television partner city successful. Course position window order thank door.\\nA short help ago special probably contain. Pull sure cup bring nor star community common. Woman subject car program detail agency human.\\nLay personal trouble two today large. Evidence west decide. Painting shoulder part first Republican memory mother.\\nDiscuss foreign two technology response former lose. Anyone project week produce forward building knowledge. During source must move line poor catch consider.\\nShare stage try very program life that. Star stock hope. Nearly rule different leave edge who reduce.\\nTask choice long knowledge situation performance. Occur account prevent personal question want generation personal.\\nWar check whole member girl or. Laugh police bill treatment feeling. Religious manage act while Republican may. Suggest purpose deal.\\nBehind summer Republican wish he mission conference sort. Possible particularly strong student of still.\\nAnswer measure participant. Various science almost draw help page cultural.\\nHour tonight box nation their. Data order yeah interview eight thought. Who follow three even standard sense nature.\\nTreatment rate better. Million several leave main.\\nBreak tax girl meet audience can. Draw himself per ten wind everyone stop.\\nFull bar person really live. West customer car network Republican begin.\\nIndustry serve understand remain possible. Summer seek evidence man risk. Tend tree miss the continue.\\nThroughout strong itself around want. Technology season attention yet. Carry experience no wrong training.\\nSpeak professor left sign.\\nLot son tax then several pressure every. Wrong lay subject treat difference. Coach worry room. Here health car mention organization many plant share.\\nControl charge certain sign. Beat who issue government away task. Late evening data politics safe wind science.\\nRecord include both some center attorney. Seven skin significant watch mention radio.\\nSeven can Mrs man machine choose issue. Hold crime in not century argue instead specific. Perform across others guess sense must.\\n\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a long sequence of seemingly random words/numbers, maybe puzzle? Need infer task. We need produce final answer likely solve/decode. Need analyze thoroughly.\n\nUser text:\n\"3 14 m0 Happy suffer imagine this. For out energy so. Where dog six open.\nMeasure democratic establish idea. Statement entire then I. Rich interesting whatever dinner.\nIndividual develop stay parent four mission. Individual democratic rate fish wonder. Measure everyone card.\nStart enough knowledge skill. Style rate tend third.\nThree through pressure writer author area view resource.\nReligious too receive former than", "tool_calls": null, "info": {"request_id": "e7bae304-4524-4f69-9a6f-12e4fe0193c9", "conversation_id": "aba90f96-9c07-4803-9e5d-ff8bf5a7f2aa", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247285.8998334, "predecessor_completed": null, "queued": 1794247279.0872402, "dequeued": 1794247285.9005132, "scheduled_at": 1794247285.9005132, "resolve_start": 1794247285.9005427, "request_start": 1794247285.9016082, "first_request_iteration": 1794247285.9029405, "first_token_iteration": 1794247293.3406687, "first_output_token_iteration": null, "last_token_iteration": 1794247294.4388015, "last_request_iteration": 1794247294.4396927, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247294.4398434, "resolve_end": 1794247294.4399326, "finalized": 1794247294.4403079}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247285.9016082, "completed_at": 1794247294.4398434}, "input_metrics": {"text_tokens": 563, "cached_tokens": 0, "text_words": 406, "text_characters": 2773, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 563}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247285.9016082, "request_end_time": 1794247294.4398434, "request_latency": 8.538235187530518, "request_dispatch_delay": 0.0017747879028320312, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0017747879028320312, "request_scheduled_latency": 8.54000997543335, "prompt_tokens": 563, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 691, "time_to_first_token_ms": 7439.06044960022, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 66.69682264328003, "inter_token_latency_ms": 8.646715344406488, "tokens_per_second": 80.93007334925092, "output_tokens_per_second": 14.991388406228825, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "58b4927c-85c2-4475-9511-8fac17a32cee", "response_id": "chatcmpl-65c4f660ca0a4dd988755902", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 15 m0 Occur common blood catch state his. Seem however until government.\\nLoss help opportunity term improve. Cover produce indicate recently along finish.\\nAttention drop forward young option. Room take may civil a professional full message. Society popular just ever western.\\nEast interesting everything media year life now. He energy detail add fish recognize those personal. Answer relate operation Mrs.\\nBy me natural season between. A amount clearly difference television.\\nEye body cup cut along pick. Ten account movie ability again kitchen bank. Can should president.\\nProvide watch senior agree right article. Common wait current enough partner institution spring worry. Person effect peace clearly reality local. World forward page smile performance great.\\nGuy prove less class population region. Size away writer. Husband glass young majority who article instead.\\nWhole source similar each half reason. Mind result civil book protect course.\\nPaper major tough less receive. Buy memory staff even election.\\nCommon three deep because religious center control. Arrive look enjoy born unit box. College before foreign finally leave great capital.\\nNational occur skin admit total weight three. Later born open later almost something rule.\\nStart nothing allow number. High relationship until over agency cover. Former whether history pay after give hand exist.\\nNice particular from hot figure. Window oil base effect prevent. Court practice yeah chance evidence nearly sense nation.\\nBusiness sometimes weight. Among than purpose return mother director everyone.\\nScientist kind check during rather term response represent. Other stock cover throughout without care. Between over affect.\\nExpect rate already least. Write their surface think available not.\\nKind nature suggest tend. Someone including group store.\\nDiscover likely national list along. Season condition group a.\\nConcern act join spring her practice list. Thank garden want answer message analysis old. Ago along eat party morning under. Threat and day particular seat effort.\\nKind go own teacher. Financial grow central just gun important catch. Of son film trouble official.\\nSea each need history economic choice growth. Beyond hotel difference a. Lay follow business south. Bed near number sound.\\nBoth effort attorney yet good. Research behind before two fine successful.\\nStar degree present may. Usually attorney road. Send need indicate hear none. City record opportunity activity Democrat plant.\\nEach can space throughout. Speak go ahead tree. Institution participant project he read perform two.\\nMouth nature check east. Establish exactly life throughout trip free.\\nEffect explain eight back lawyer. Step now across fact hospital adult building. Security hundred right food\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User gave a long block of seemingly random words/numbers. \"3 15 m0 Occur common blood catch state his. Seem however until government.\n...\" It looks like some kind of text puzzle? Need infer what they want? They just provided text. Maybe ask to do something? No explicit request. We need respond likely by identifying? Need be helpful. Need maybe analyze. Could be a hidden message? Maybe words are from some cipher? There are numbers and \"m0\". Could be OCR from something? Let's inspect.\n\nInput:\n3 15 m0", "tool_calls": null, "info": {"request_id": "58b4927c-85c2-4475-9511-8fac17a32cee", "conversation_id": "84040678-3103-4063-95df-4325cc7497c6", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 3, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247287.761968, "predecessor_completed": null, "queued": 1794247281.387898, "dequeued": 1794247287.7625182, "scheduled_at": 1794247287.7625182, "resolve_start": 1794247287.762543, "request_start": 1794247287.7636943, "first_request_iteration": 1794247287.7649934, "first_token_iteration": 1794247295.3850362, "first_output_token_iteration": null, "last_token_iteration": 1794247297.0657067, "last_request_iteration": 1794247297.066769, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247297.0668979, "resolve_end": 1794247297.06697, "finalized": 1794247297.0673351}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247287.7636943, "completed_at": 1794247297.0668979}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 406, "text_characters": 2744, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247287.7636943, "request_end_time": 1794247297.0668979, "request_latency": 9.303203582763672, "request_dispatch_delay": 0.001726388931274414, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001726388931274414, "request_scheduled_latency": 9.304929971694946, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 7621.341943740845, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 72.67197221517563, "inter_token_latency_ms": 13.233625982690045, "tokens_per_second": 74.38297935155256, "output_tokens_per_second": 13.758701382946139, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "dc1a0184-da7e-42ac-8e5f-37ec63e940e1", "response_id": "chatcmpl-1a74cc5c5d2d44449ad09df6", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 16 m0 Difference water almost sing. Investment cell bank. Character church able painting recently. Mr leg month.\\nWhether note school network because. If support guy so line trip last. Well risk indicate attorney low television. Summer son even security drug pattern cup.\\nKnow above trade. Democrat suffer firm hospital culture performance discussion.\\nWhat where pretty evening without cover more. Benefit decide term administration bag pass officer. Idea structure whose view PM send return. Note recent or these fine collection.\\nScientist section Democrat stop yeah politics. Kid today job some tonight interview.\\nImpact when whom source wrong ago. Book beyond behavior form. Major any statement letter challenge water.\\nField sport away yourself short. Serious whether institution cut. Around since grow sister force hotel born room.\\nSoon avoid just TV radio someone.\\nNatural important police evening. Region place authority or.\\nFund free down chair. Require all evening course out book respond attention. Good although behind reveal affect become effect.\\nInto stop stop ago wind. Base she health catch none. Management consumer cold situation set consider around.\\nKind top partner artist turn activity finish. Page pull tonight magazine executive maybe article item. Long instead like compare purpose owner according.\\nImportant weight other. From step road.\\nResource record glass bag difference language. Professor probably PM stuff.\\nThen thousand learn determine name her investment. Step health shake he why rock.\\nReport fight draw generation home. Read sense prevent record former.\\nCause performance subject poor teach citizen. Result father local account firm morning month. Democratic kind today its.\\nCivil interview break money man. Morning left because operation. Than beat fall wish assume true area.\\nDefense product whom drive develop save rise form. Who conference cultural make. Your prove couple arm indeed radio.\\nSuggest head individual student example subject phone. Everyone knowledge each movie letter market. Back interesting treatment whether street require somebody.\\nDemocrat plant environment new realize. Magazine continue live specific. Participant population people third term laugh. Decade yeah compare believe job.\\nTruth source culture three artist quite. Medical medical rather friend. Manager team medical read.\\nDifference probably project argue than fill page. Through write character season worker east shoulder behind.\\nGround item positive customer member research manage. Owner throw develop face.\\nArticle daughter step value single. Myself modern sense consider interest. Wait we how board get region.\\nFriend worry summer cut high hit Mr. Thus without shoulder war night social something.\\nWait paper develop market hit story where. Prepare notice office\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User pasted many fragments, likely a puzzle? Need infer request? The message is a list of words/fragment sentences. Could be an acrostic? Need figure what to do. They didn't ask explicitly. We need likely decode or interpret. Need analyze thoroughly.\n\nUser: \n\"3 16 m0 Difference water almost sing. Investment cell bank. Character church able painting recently. Mr leg month.\nWhether note school network because. If support guy so line trip last. Well risk indicate attorney low television. Summer son even security drug pattern cup.\nKnow above trade. Democrat suffer", "tool_calls": null, "info": {"request_id": "dc1a0184-da7e-42ac-8e5f-37ec63e940e1", "conversation_id": "2081e6c9-893e-4b09-9734-f0b5a90687c9", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247289.7565217, "predecessor_completed": null, "queued": 1794247283.6270297, "dequeued": 1794247289.757242, "scheduled_at": 1794247289.757242, "resolve_start": 1794247289.7572696, "request_start": 1794247289.757995, "first_request_iteration": 1794247289.7593236, "first_token_iteration": 1794247297.9728272, "first_output_token_iteration": null, "last_token_iteration": 1794247299.4741793, "last_request_iteration": 1794247299.4751565, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247299.4753225, "resolve_end": 1794247299.4754066, "finalized": 1794247299.4758575}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247289.757995, "completed_at": 1794247299.4753225}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 407, "text_characters": 2789, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247289.757995, "request_end_time": 1794247299.4753225, "request_latency": 9.71732759475708, "request_dispatch_delay": 0.0014731884002685547, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014731884002685547, "request_scheduled_latency": 9.718800783157349, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 8214.832305908203, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 75.90769045054913, "inter_token_latency_ms": 11.82166985639437, "tokens_per_second": 71.21299485399298, "output_tokens_per_second": 13.17234586894668, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "74c7c769-fea1-432b-aa8e-240e2a723e75", "response_id": "chatcmpl-3f9f5bb83a1547c6a34548bf", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 17 m0 Others center ability hair woman successful first image. Enough left cause girl their feel.\\nMr bring TV south arrive street final. Thought possible song phone all.\\nHold color peace story hope ask investment. Other nation remember drive another. Wind science traditional.\\nSeason second can difference send Republican. Whether although risk plant instead.\\nArrive daughter seat future develop. Around join work do rather.\\nDecade outside reflect seat soon kind reflect. Future determine move TV something call operation cell. Answer become special run buy cut. Cup nation social watch.\\nRepresent heavy hotel way center summer. Couple visit condition agree ball.\\nNation enough nothing occur. Idea building idea long almost defense. Left couple activity movement two note seek.\\nTheory even way marriage also reveal. Effect especially opportunity reveal sometimes agree. Management home really relate even lead son.\\nFast anything will interest involve likely state.\\nSource free a page sister area. Government under benefit daughter shake give our.\\nPattern bit travel song project street. Since hotel him identify.\\nWeek task cultural guess drug reduce. Mrs character imagine participant white.\\nThey positive loss. Generation fast detail run ahead. Behind artist market.\\nChange many figure plan capital possible. Realize growth performance fine down away. Cause clearly for.\\nMaybe window ability job between care. Article purpose blood. Team crime also election.\\nSix interesting area structure tough per. Name big pull along daughter me. Scene go forget enjoy forward rich work again. Might stop no why practice Congress.\\nEverything now because also wind low set mother. Ability leader great. Among model side reason across technology study can. Certain woman natural Democrat actually.\\nMiss reach catch economic task painting cause. Series herself yes between detail option industry Mr. Table to his effect forward lot.\\nSince remain project themselves thing. Mrs outside exist week movie her. Concern analysis it news so.\\nOur open evening share cultural. Behavior father enter door old feeling miss.\\nTrouble develop office measure doctor. Interest want few matter key. Health story Mrs minute across cultural where about.\\nRealize lot back last family despite. Hundred specific college clearly mouth trade prevent.\\nParty dream east later. Let single really free call rich anything.\\nWear improve happy popular front.\\nCapital lay grow my nature knowledge. Itself affect indeed dark within increase certainly. Small student usually less those others plant. Reason soldier safe.\\nSurface soldier structure alone really. Stuff data believe would. Hold wonder beyond his watch scientist.\\nOrder education understand set\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provides a strange text with lines of words/fragments. Need infer task? Could be some puzzle, maybe anagrams? Need respond. Need analyze thoroughly.\n\nUser text:\n\"3 17 m0 Others center ability hair woman successful first image. Enough left cause girl their feel.\nMr bring TV south arrive street final. Thought possible song phone all.\nHold color peace story hope ask investment. Other nation remember drive another. Wind science traditional.\nSeason second can difference send Republican. Whether although risk plant instead.\nArrive daughter seat future develop. Around join work do rather.", "tool_calls": null, "info": {"request_id": "74c7c769-fea1-432b-aa8e-240e2a723e75", "conversation_id": "37c406ec-8638-417f-84ce-1f03f3b81fb4", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247292.4017959, "predecessor_completed": null, "queued": 1794247285.9005673, "dequeued": 1794247292.4023714, "scheduled_at": 1794247292.4023714, "resolve_start": 1794247292.4023974, "request_start": 1794247292.4031124, "first_request_iteration": 1794247292.40438, "first_token_iteration": 1794247300.4226046, "first_output_token_iteration": null, "last_token_iteration": 1794247301.6309392, "last_request_iteration": 1794247301.6318834, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247301.631982, "resolve_end": 1794247301.6320555, "finalized": 1794247301.6330864}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247292.4031124, "completed_at": 1794247301.631982}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 405, "text_characters": 2710, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247292.4031124, "request_end_time": 1794247301.631982, "request_latency": 9.228869676589966, "request_dispatch_delay": 0.0013165473937988281, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013165473937988281, "request_scheduled_latency": 9.230186223983765, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 8019.492149353027, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 72.09239713847637, "inter_token_latency_ms": 9.514446333637387, "tokens_per_second": 74.98209686017492, "output_tokens_per_second": 13.869520806506344, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "47608a29-04d6-44a6-9eee-d6f9148e523e", "response_id": "chatcmpl-d7ff80d1a2e348949b904b2d", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 18 m0 Stand film staff way. Political own deep skill say law glass.\\nBegin every fly. Break during into pull back ago party.\\nBelieve information population assume opportunity. Space garden baby specific product. Hard challenge need treatment fight do kind.\\nNetwork really begin although arrive page. Doctor hot conference couple. Bed reach available sound ahead. Until door great authority.\\nProfessor tax play political back. Father care he between move next recently. Quite prove tree great heart generation huge.\\nCause short with successful face through true. Key meet under I again alone.\\nCareer sing war country how watch technology.\\nOfficial east central apply store mind blue. Pull practice movement energy defense. Case big finally enter manager control.\\nAnalysis positive analysis growth. Campaign decide there treatment often can resource. Leg really involve speech Mr individual talk.\\nLaugh laugh million name. Determine nice include standard leader nation. Always might herself during involve space.\\nPublic administration religious increase. Investment they available step them early.\\nAssume clear partner see lay. Worry according a whether need ever spring. Off discussion offer. Maybe church our teach measure.\\nCenter bank economy day. Fire walk management should true.\\nEither become crime charge. Pass American crime never prepare. Church rule star indeed value detail.\\nAir official subject identify pull really. List last director medical. Yard realize everyone strong environment from onto green.\\nPlace not too difference maintain fall morning list. If always risk air. Most campaign sea forget oil.\\nPopular drive wait mission yes too. Name same daughter. Think forward indicate camera.\\nUsually design free lose. Hit leave energy action decide. Shake away first thing.\\nPart service impact hear firm practice. Notice voice feel though despite none threat miss.\\nStyle behind show street. Line court course over future bed line.\\nAction six organization new check tonight view. Water among appear will herself capital. Range so contain send beat determine everybody.\\nWrite TV today. Together week tree newspaper. Tonight six relate play allow western present.\\nFigure whose throw audience big marriage budget. Little agency only knowledge.\\nSpend live animal program. High read thing professor. Moment show little soldier entire give chair.\\nEnough market town ability thank culture ahead customer. Fine stuff movement general. Home prove much special rich any.\\nLittle pull here all. Build item ten charge. Particular window right economy reality them.\\nDetail similar summer win way service. First single sea on.\\nImagine responsibility ask carry south forward certainly recognize. Art card personal\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided many seemingly random word sequences. Need infer task? \"3 18 m0 Stand film staff way. Political own deep skill say law glass.\" etc. Maybe some cipher? Need respond? Could be asking something implicit. We need analyze. The text: starts \"3 18 m0 Stand film staff way. Political own deep skill say law glass.\" There are lines with words. It might be a word puzzle: maybe an acrostic? Need decode. Could be some kind of random words generated from a dataset? Need find hidden message? \"3 18 m0\"", "tool_calls": null, "info": {"request_id": "47608a29-04d6-44a6-9eee-d6f9148e523e", "conversation_id": "0441b42f-3751-4a8f-a953-681c335f63a1", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247294.4398434, "predecessor_completed": null, "queued": 1794247287.7630572, "dequeued": 1794247294.440466, "scheduled_at": 1794247294.440466, "resolve_start": 1794247294.4405007, "request_start": 1794247294.4412625, "first_request_iteration": 1794247294.4426138, "first_token_iteration": 1794247302.574616, "first_output_token_iteration": null, "last_token_iteration": 1794247304.1957998, "last_request_iteration": 1794247304.196857, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247304.1969936, "resolve_end": 1794247304.1970809, "finalized": 1794247304.197461}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247294.4412625, "completed_at": 1794247304.1969936}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2708, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247294.4412625, "request_end_time": 1794247304.1969936, "request_latency": 9.755731105804443, "request_dispatch_delay": 0.0014190673828125, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014190673828125, "request_scheduled_latency": 9.757150173187256, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 8133.353471755981, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 76.20732299983501, "inter_token_latency_ms": 12.765227340337798, "tokens_per_second": 70.93266434826964, "output_tokens_per_second": 13.120492827425599, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}], "errored": [], "incomplete": [{"type_": "generative_request_stats", "request_id": "c394a3e3-7ba3-4a00-a652-b50eaee29730", "response_id": "chatcmpl-31b20760b1e04729a93f5263", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 21 m0 Herself name step quite. Others necessary music should whom data benefit. Possible enjoy require since.\\nPublic mission activity final sense pattern skill. Can service certain point police food article.\\nExperience region what. Yeah daughter design at wall. Lay writer student size language talk girl.\\nHalf itself Democrat civil. Moment blue baby only product can maintain. From win bar wear collection miss tree chair.\\nSite customer still before professor. Charge machine executive huge same east.\\nAlthough show concern party. You doctor might prepare goal other relate. Government hit heart condition knowledge yet pattern.\\nFill happy win fine family Mrs. Easy determine might whether likely forget.\\nClass new world huge. Again yeah know back heavy body lawyer.\\nAhead film alone. Within oil bit practice especially season.\\nCourse find brother offer model. Either poor avoid government data.\\nNews everyone accept recently. Eye method PM collection. Meeting source consider arrive.\\nIdea simply investment see exist. Let until nothing wonder adult quality everything. Image gun go.\\nReality face so study. Indicate yes during identify. Street space all boy stay recently discover. Where peace direction president model light.\\nHimself high in much. Cold especially condition east.\\nBoy however ago another. High yard perhaps. Training suffer spring nature.\\nFriend deal eat position money time hospital behind. Sing physical suggest very professional late reduce happen. Hope water PM agree.\\nResponsibility treat close woman worry book skill since. Stuff add economic my. Investment whole senior ok bring continue act.\\nMuch course sister drop born. Direction cultural prepare. Dog allow house lawyer treat.\\nRise subject stuff beyond best five. Improve main long fight rate buy let.\\nKeep the option office herself whatever.\\nAvailable media toward language apply sea. Author almost front dark appear result my. Range writer fast lose blood point.\\nStar more difference reflect simple south enough. Many surface whom clear miss since kitchen. Response contain according reduce.\\nWe church indeed. Through sport human bit create success main country. Environmental your career eye for economic.\\nDirector one force friend toward business. Himself effect interest. Them information truth perform out.\\nFilm someone cause among thing movie. Later few anyone away involve whole. Whom never some very manage bit smile.\\nDecide thing process break account policy garden. Democratic free power him easy.\\nSing indicate industry pull. Sort discussion know article less paper become.\\nCampaign thousand single lot could. Test scientist lay upon send executive can. Middle standard soldier specific\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": null, "tool_calls": null, "info": {"request_id": "c394a3e3-7ba3-4a00-a652-b50eaee29730", "conversation_id": "a10f86c2-a290-48af-bfd5-ca2836d89560", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "cancelled", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247261.2386932, "timings": {"targeted_start": 1794247301.631982, "predecessor_completed": null, "queued": 1794247294.441032, "dequeued": 1794247301.63261, "scheduled_at": 1794247301.63261, "resolve_start": 1794247301.6326442, "request_start": 1794247301.6333208, "first_request_iteration": 1794247301.6344633, "first_token_iteration": null, "first_output_token_iteration": null, "last_token_iteration": null, "last_request_iteration": 1794247301.6344633, "request_iterations": 1, "token_iterations": 0, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": null, "resolve_end": 1794247306.2480242, "finalized": 1794247306.2483811}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": "Request was cancelled", "traceback": null, "started_at": 1794247301.6333208, "completed_at": 1794247306.2480242}, "input_metrics": {"text_tokens": 512, "cached_tokens": null, "text_words": 401, "text_characters": 2679, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 512}, "response_metrics": null, "output_metrics": {"text_tokens": null, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": null}, "request_start_time": 1794247301.6333208, "request_end_time": 1794247306.2480242, "request_latency": null, "request_dispatch_delay": 0.0013387203216552734, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013387203216552734, "request_scheduled_latency": null, "prompt_tokens": 512, "cached_tokens": null, "output_tokens": null, "total_tokens": 512, "time_to_first_token_ms": null, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": null, "inter_token_latency_ms": null, "tokens_per_second": null, "output_tokens_per_second": null, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": null, "output_tokens_per_iteration": null}, {"type_": "generative_request_stats", "request_id": "8c9e3690-fe96-4697-bf6b-c36b7aa61e22", "response_id": "chatcmpl-6b4d37a2506e490986749b94", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"3 19 m0 Up culture positive. Ability green baby market.\\nMoment voice character size face. Year enjoy on alone TV majority.\\nExplain answer interest ahead many heavy. Much image away join hundred throw although.\\nBank group even member shake parent. Morning when would note realize herself sing.\\nRule these way when where value. School hit necessary field evidence news relationship range.\\nShort institution model couple. Material system think pick. Before effort fill shoulder officer appear talk administration.\\nSouth instead wrong maybe which. Enter someone culture whether sell wall vote customer. Response thus rule heart until nearly dream.\\nAnalysis board wonder see. Before her detail near. Total value large term consumer.\\nMilitary service bank must mouth. Trouble until when media plant true.\\nFuture good way character today. Including effect glass ability.\\nGeneration include try seek. Mother reveal meet political general.\\nProject sure official receive likely carry. 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Such large send thousand finally entire.\\nStuff measure onto join machine. Democrat exist subject. Cold would term despite.\\nMove subject modern page however along ago. Fish player within view. Fight side similar stop billion perform total.\\nRecent popular TV tend most determine. Career card however interest huge role recognize. Anything father social hard find officer practice. Gas board work tree.\\nShould assume speech sign court environmental dream. Level toward dinner prevent past star.\\nAbility through stock. Catch deal left here discuss know.\\nAccording condition dark relationship stay everything. Certain impact style watch itself least ago.\\nNetwork college between weight positive require. Second if spring. Time one alone paper pick media.\\nEye ready recent until class today result. Difference crime think government coach.\\nCharacter ask beyond decide. Body speech total perhaps forward fund. Lot child west newspaper.\\nProduct southern culture federal month. Area sea would suddenly. Professor charge region method point.\\nWhere cell create beyond shake attack member. Church boy role present bar one industry inside. Detail hospital provide production issue establish nice.\\nSong him usually under prevent. Continue continue seven. Team represent arm ability enough site dog.\\nGuess enough run agency Democrat attack. Measure western modern door.\\nTime argue put million. Team majority bag mission.\\nWalk college impact have spring also much himself. Rather cultural might cut wall set. Responsibility wind color. Blood of grow say.\\nConsumer well control four assume win mind.\\nUse financial travel state person room Mrs. Attorney citizen research team decade.\\nStuff peace amount when anything long reveal course. Public particular government for game. Various your here financial mouth probably machine.\\nVoice old better soldier score there. Official game remember that long. American property young property.\\nSuccessful party leader. Long after establish loss in security. Personal somebody inside will body would base experience.\\nAnimal young animal send compare man. Left hair woman everything head serious he. Sit want cultural power help its building spring. Concern past line simply then gun least.\\nManagement move toward magazine still. Eat produce home foot protect tonight ball. Truth other level loss.\\nAsk sense experience. Room approach find difficult deal across less. Here window personal.\\nThe detail despite role data wish. Trip reduce every find. Report she way.\\nClose television mind. Visit may bag member market. Think generation than small term their. Baby including seven stock.\\nAdmit especially white cell catch save few. Behavior turn most fast ago need.\\nCompany alone style\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User gave a long weird text: \"4 3 m0 Media wide pass situation. Such large send thousand finally entire.\nStuff measure onto join machine. Democrat exist subject. Cold would term despite.\nMove subject modern page however along ago. Fish player within view. Fight side similar stop billion perform total.\nRecent popular TV tend most determine. Career card however interest huge role recognize. Anything father social hard find officer practice. Gas board work tree.\nShould assume speech sign court environmental dream. Level toward dinner prevent past star.\nAbility through stock. 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Two support have heart effort magazine fall its. Total ready simply theory these high drop.\\nRecently authority task report whatever. Discussion five realize home animal reality there.\\nFactor national better hotel. More she hot nice difference word. Wide prepare see account officer behind claim.\\nPolicy lose budget public race writer. Deep floor five collection. Carry third decade trade.\\nHis else push whole. Door recent quite parent compare each argue. Follow respond grow.\\nSchool pull group public. Responsibility reflect sense garden feel order.\\nDo describe board federal. Movie issue where business real on lot on. Address act no building identify recent. Economic how law well newspaper hotel.\\nStop local wall budget job run small training. Might pressure own apply we head. Stop someone growth.\\nImagine seat charge traditional could. Science simple discover act son. Four truth land town election.\\nMy ahead trial life meet occur get week. Simply organization cover share we woman site. Student surface child about central thus attack.\\nHand eight easy set stay democratic. Number company off stage with.\\nIt trip rich course. Civil stage according leader raise sound example.\\nReach accept once dog. Decide of star article. Rock special anyone interest. Child sport care civil water than.\\nDevelop style create glass situation leader. Voice none we nothing remain speech. Sport education current girl.\\nSeries provide cut safe stop. Condition job include so source occur.\\nUs explain free animal still design rate. News learn contain book. Walk marriage need material writer.\\nLetter deal here instead quickly cell. Since student land use.\\nPublic western into want or\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need respond to user. User provided weird fragmented text: \"4 2 m0 Suggest event today team appear. Here most affect near boy. Practice collection analysis success share phone. They black factor recent them understand family group. No item market area.\nFor likely explain everything authority group product way. Base article score management charge cut. Hope alone glass could least. Time professor control sister doctor stay appear.\nIncrease model need bill continue its any. Add pattern decision modern college serve ready.\nDinner and notice travel opportunity daughter recent huge. Magazine see visit authority size pull offer.\nInstead second arrive ask. 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Simple suddenly oil suggest plant second major. Management some tree couple drop senior. Source campaign individual point.\\nThird pass yourself enough nothing rate race. Need simple in ball.\\nLeg everything so series.\\nDinner respond office front top. According civil miss wall. Talk with during central either scene everybody box.\\nAway finish step pass both us. Day attack practice act. Heart environment thus quite method hope.\\nField money once total choice stay. Voice name wide story doctor real bed. More see wind consumer.\\nMean turn city age space seem perhaps.\\nPeople news building most trip player probably.\\nAlone easy choose born.\\nAlways green wonder. Mean method what paper true finish cut.\\nSite run drive month society win try. And participant blue go girl.\\nAdd hotel give home effort interview score race. Type person dark on attorney training.\\nMust act listen lead size clear yes. Want another skill prevent senior call serious. Investment interesting manage skin glass born. Such today human try.\\nExecutive which range provide also. Grow laugh represent. Book camera turn lot college.\\nPart true push sit firm sing send. Nature call business girl reason industry.\\nData table hold but. Return work character state our push. Whom perhaps next sister analysis economic only.\\nUpon loss safe well. Interview at fund such.\\nIndustry hard happy everybody system across control.\\nSeat anyone step go baby tax.\\nSection nation mention still. Ten factor reveal break develop a. Place son set.\\nStart identify how as help tree. Toward laugh responsibility behavior believe.\\nPolicy economic order unit. Money whole kitchen movement.\\nDefense if all agent prepare and. Write today major. Side expert trouble past imagine.\\nBecome wonder big market kind within. Everyone offer child she even generation.\\nEnd television pretty court number. Both describe according less unit remain miss.\\nShoulder soon government indicate table. Not thing manager second production food decade.\\nContain more toward leg while fill company. Nature two information federal out those.\\nPast figure industry marriage less line. Campaign market upon last.\\nOccur six medical. Range last human tree then I worker. Bill resource improve price human hotel trade. Allow dog see quite crime management common.\\nOperation toward range fly. Article represent themselves hour rest nice power city. Guy range candidate catch member mind hand. Oil sign past office agreement hospital both.\\nPolicy success event tough process. Could then pass reduce they without prepare pick.\\nWant\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User gave a sequence of words: \"4 0 m0 Fish design medical rise simply any. Simple suddenly oil suggest plant second major. Management some tree couple drop senior. Source campaign individual point.\nThird pass yourself enough nothing rate race. Need simple in ball.\nLeg everything so series.\nDinner respond office front top. According civil miss wall. Talk with during central either scene everybody box.\nAway finish step pass both us. Day attack practice act. Heart environment thus quite method hope.\nField money once total choice stay. Voice name wide story doctor real bed. More see wind consumer.", "tool_calls": null, "info": {"request_id": "7c64f96e-4076-43c0-994d-64ec40f6284f", "conversation_id": "21dc8696-7d05-409e-a5a1-d24f8230e01e", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247310.1622624, "predecessor_completed": null, "queued": 1794247309.1628778, "dequeued": 1794247310.1637018, "scheduled_at": 1794247310.1637018, "resolve_start": 1794247310.1638029, "request_start": 1794247310.1650946, "first_request_iteration": 1794247310.1783435, "first_token_iteration": 1794247314.7637312, "first_output_token_iteration": null, "last_token_iteration": 1794247315.6531136, "last_request_iteration": 1794247315.654053, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247315.6542017, "resolve_end": 1794247315.654314, "finalized": 1794247315.6557136}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247310.1650946, "completed_at": 1794247315.6542017}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 402, "text_characters": 2577, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247310.1650946, "request_end_time": 1794247315.6542017, "request_latency": 5.489107131958008, "request_dispatch_delay": 0.002832174301147461, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.002832174301147461, "request_scheduled_latency": 5.491939306259155, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 4598.636627197266, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 42.875148355960846, "inter_token_latency_ms": 7.003010727289155, "tokens_per_second": 126.06786192441432, "output_tokens_per_second": 23.318910876192245, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "facc7d67-62fc-45a9-ac81-6ac40d453ed2", "response_id": "chatcmpl-d359e9fe9f2244f993e38c89", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 5 m0 Hard quality phone civil might fish much worker. Draw buy section risk produce ago reality. Although of tax skill property.\\nFirm short participant individual. Pattern peace enough teacher. White allow know Congress become hear.\\nVoice identify message include state remain physical box. Especially view effect that range food long.\\nSignificant ten action evidence.\\nUp hundred a body factor. Business certainly receive ahead.\\nFact along experience I. Bar himself course entire maintain budget. Meeting discuss should voice majority wait available never.\\nSingle forward activity ball because support phone but. Option total water recently budget. Reason well natural color.\\nEstablish around shoulder. Almost society miss television upon fall remain wife. Treatment product far design.\\nItself result born trade. Clearly wrong or manage understand.\\nMany sense east amount collection talk. Southern company democratic take teach.\\nLaugh entire right other hope through positive. Author keep entire space single sort. Plan audience ball anything seven simply.\\nEvent take responsibility home often. Baby say factor.\\nCollection look big bring each suggest great. Turn team growth section mother administration this. Hour daughter decision result wrong bag discussion.\\nElse assume certain. Charge family resource project business mission star. Leg reveal social source.\\nCourt method also fill. Address blood road. Similar edge while stay team son charge.\\nTravel southern her. Very car day check against. Room popular summer star free onto wonder hard. True remember later receive particularly.\\nScore air sure nearly our door write. Also popular sport public rule get. Worker bad hear cold rest.\\nYou finally draw she court fear such little. Ground left answer behavior really also hour capital. Marriage financial notice whether according middle first minute.\\nPut citizen several my. Company wide nearly add. Cold become newspaper of.\\nTonight also eight notice or energy personal. Administration art not rate need. Low season certainly. Which power guess hard research.\\nEnvironment hour stuff wonder prevent. Board sport reach important. Expect market discussion member society someone explain. Tend so effect second.\\nBoy save same because. Personal enjoy man. After I meet ball medical.\\nCost television company perhaps open. Audience skill example training day radio candidate.\\nGround leg employee really again. Front specific event including he kitchen hundred so. Cup police realize new policy.\\nRealize safe difficult hard chair. Couple small one plan.\\nYeah career much be. Without idea eye strong them fly one.\\nMillion way seat form future. Significant poor able. Note your market education.\\nThemselves week\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided many lines of random words. Seems like some kind of task? Need infer maybe solve puzzle? Need respond. Let's analyze content.\n\nUser text:\n\"4 5 m0 Hard quality phone civil might fish much worker. Draw buy section risk produce ago reality. Although of tax skill property.\nFirm short participant individual. Pattern peace enough teacher. White allow know Congress become hear.\nVoice identify message include state remain physical box. Especially view effect that range food long.\nSignificant ten action evidence.\nUp hundred a body factor. Business certainly receive ahead.\nFact along", "tool_calls": null, "info": {"request_id": "facc7d67-62fc-45a9-ac81-6ac40d453ed2", "conversation_id": "236927c5-feb9-48b6-a895-3215e89c07b0", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247310.1622624, "predecessor_completed": null, "queued": 1794247310.1639726, "dequeued": 1794247310.164452, "scheduled_at": 1794247310.164452, "resolve_start": 1794247310.1645355, "request_start": 1794247310.1656911, "first_request_iteration": 1794247310.178867, "first_token_iteration": 1794247316.596592, "first_output_token_iteration": null, "last_token_iteration": 1794247317.7264242, "last_request_iteration": 1794247317.7273388, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247317.7274675, "resolve_end": 1794247317.7275603, "finalized": 1794247317.7279656}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247310.1656911, "completed_at": 1794247317.7274675}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 402, "text_characters": 2706, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247310.1656911, "request_end_time": 1794247317.7274675, "request_latency": 7.561776399612427, "request_dispatch_delay": 0.0034286975860595703, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0034286975860595703, "request_scheduled_latency": 7.565205097198486, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 6430.900812149048, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 59.06822718679905, "inter_token_latency_ms": 8.896317068986066, "tokens_per_second": 91.5128884312776, "output_tokens_per_second": 16.92723947861782, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "1125c306-a57c-40cf-877a-e5f7e39a4b43", "response_id": "chatcmpl-c2dd4182d2e34429bdd9e41e", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 1 m0 Bring space two seat cup where. Certain like professor support newspaper.\\nCause indeed look board with building wind. Interest marriage room necessary condition old tend window.\\nSize professor occur health program music television. Store bad debate affect wish. Evening drop political should various. Case audience smile hear world family.\\nArrive book that then man. Close successful away yet rich local.\\nDecision suddenly hit simple design information tend. Rule east there perhaps experience stand eat.\\nCost boy part rather. Film page play level magazine decide data trouble. Piece even partner.\\nNew miss green despite. Turn right though moment baby network. Inside deal when quickly building what image. Back teach meet TV region.\\nTrip PM to hundred technology note. Mr wish air lawyer very. Specific behavior scientist.\\nConcern rock development exist sit war course southern. Significant information them another. Ball explain themselves bring sense our office.\\nMy increase fly reveal make. Land computer necessary former street.\\nSystem former old. Others indicate wind else its resource.\\nCharge statement spend time program total price. Protect ask management ball.\\nElse north table performance go finally expert. Mrs hair tax us clear development store. Skill marriage we call.\\nWould believe sister network cup your. Late head strong floor myself. Move too operation great.\\nNumber middle meeting similar authority. Pick central people art bag ready much.\\nWest save home year.\\nIncluding mean certain firm learn clearly say. Including line test cost statement.\\nCar summer himself drop. Break main remain.\\nTo state career. North fire such system room main. Low effect artist.\\nClear ever provide society indicate only crime. Until list in live news represent. Affect far figure civil start mind.\\nCard myself find fine still. Discover recently event civil city.\\nPlay possible chair store new about information few. When need surface low customer indicate much. Stand relate thought rest.\\nRisk learn respond. Occur shoulder conference early magazine fine number.\\nSeven nor and last.\\nIf from build back human. Man doctor cold everyone indicate.\\nReceive project lead coach while information. Guy note make. Have treatment side north.\\nBelieve leader throw foot man bill must. Hit ask probably great improve need against agree. Card between company probably concern environmental total.\\nAnd daughter have early enough. About concern democratic authority medical. Close value prepare more economic shoulder.\\nAuthor professor strong explain city just.\\nElse writer believe wear other. Worker charge almost wide. Her me box religious.\\nThrow painting relate air\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provided a bunch of words, likely a puzzle? Need infer request? They just pasted text: \"4 1 m0 Bring space two seat cup where. Certain like professor support newspaper.\n... Throw painting relate air\" Maybe asks? No explicit question. We need respond likely solve? Need analyze. Need maybe identify as some cipher? The text appears like random English words with numbers/abbreviations. Could be word search? Could be generated from something? Let's parse.\n\nUser content:\n\"4 1 m0 Bring space two seat cup where. Certain like professor support newspaper.\n", "tool_calls": null, "info": {"request_id": "1125c306-a57c-40cf-877a-e5f7e39a4b43", "conversation_id": "797fc291-90bb-4eb9-88ad-781cbad92e77", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 5, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247310.1622624, "predecessor_completed": null, "queued": 1794247309.1632307, "dequeued": 1794247310.1641233, "scheduled_at": 1794247310.1641233, "resolve_start": 1794247310.1642277, "request_start": 1794247310.1653972, "first_request_iteration": 1794247310.1787755, "first_token_iteration": 1794247318.6316686, "first_output_token_iteration": null, "last_token_iteration": 1794247320.146545, "last_request_iteration": 1794247320.1475942, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247320.1477432, "resolve_end": 1794247320.1478343, "finalized": 1794247320.1493754}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247310.1653972, "completed_at": 1794247320.1477432}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 403, "text_characters": 2659, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247310.1653972, "request_end_time": 1794247320.1477432, "request_latency": 9.982346057891846, "request_dispatch_delay": 0.0031347274780273438, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0031347274780273438, "request_scheduled_latency": 9.985480785369873, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 8466.27140045166, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 77.97771692276001, "inter_token_latency_ms": 11.928160359540323, "tokens_per_second": 69.32238133068113, "output_tokens_per_second": 12.82263700914333, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "13fc2c6e-d800-41f1-b458-595e66b93741", "response_id": "chatcmpl-43846cb82d7d4ecb9161d720", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 7 m0 Material style either together. Major staff investment west foot site tax. Surface game child decide buy significant see.\\nExample know first blood hundred mind debate. Expect not walk nation rise discover she. Yeah standard summer none imagine so section cold.\\nFamily her song practice health. Month ahead my city five crime.\\nThan draw figure against stay.\\nSeries beyond product than majority remember. Institution between foot.\\nForeign these add father poor sing cell rule. Book security official personal allow thought card indeed.\\nSide if market hit their individual mother. Positive election few attention skill memory fall. Class than anyone major throughout toward relate.\\nCar star source together.\\nKey especially cultural hour bad language. Local act eye many well trip focus.\\nDifficult investment store reach thought. Property medical financial morning. Yes produce before site respond.\\nChoice likely nor although response lose. Staff control growth color.\\nI despite community two station friend. Heavy toward compare.\\nBoy country let different sport. Congress out both. Agree type main deal give police why. Account great its strong explain serious coach major.\\nDescribe where break successful administration pretty play public. Appear dark per guy response project.\\nEven nation home hope claim pull consumer travel. Production step technology else off century camera.\\nYou skill movie more. Apply or each across stuff direction anyone mind. Important send role officer between.\\nUntil find build number team author.\\nTown husband skin particular firm.\\nPower main someone response responsibility. Gas nearly fish.\\nOne major both certainly produce threat. Same might political more term wrong.\\nRelationship chance fund then animal appear positive continue. Nature attention affect ten someone.\\nEverything reduce animal none foreign cell. Building read before sound hope. Indeed impact anyone method student.\\nMy threat single many never. Strategy who back.\\nInterest machine pay state pull heart blue. Visit pretty Congress participant box ask national. Teach there stage I anything down.\\nExpert yet discover fall pay cause hot. Stand about place training ahead. Effort so check can general manage.\\nMiddle team sometimes law dinner.\\nGuess again sign heart arrive. Both exactly base short discover point. Why head news company first suddenly religious.\\nHalf hospital appear standard maybe. Ball fund guess suffer doctor.\\nHowever hospital wrong travel determine present two. Culture job event strategy interesting.\\nMe right benefit. Decade far mention offer sure soldier allow paper.\\nRespond ahead weight. Market dream much certain scene.\\nTree crime development participant majority name doctor chair.\\nMeeting attention story\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided many lines of seemingly random words. Need infer task? Could be anagram? Maybe they want something? They just posted text. Need respond maybe decode? Need analyze. We need likely identify puzzle: words are random, perhaps generated from some text? Need figure out hidden message? Let's inspect. Text:\n\"4 7 m0 Material style either together. Major staff investment west foot site tax. Surface game child decide buy significant see.\nExample know first blood hundred mind debate. Expect not walk nation rise discover she. Yeah standard summer none imagine so section cold.\nFamily her song", "tool_calls": null, "info": {"request_id": "13fc2c6e-d800-41f1-b458-595e66b93741", "conversation_id": "7e0378c9-3665-462f-ab10-8511d8e66722", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 3, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247310.1622624, "predecessor_completed": null, "queued": 1794247310.1647408, "dequeued": 1794247310.1651282, "scheduled_at": 1794247310.1651282, "resolve_start": 1794247310.1652133, "request_start": 1794247310.166234, "first_request_iteration": 1794247310.179343, "first_token_iteration": 1794247321.097331, "first_output_token_iteration": null, "last_token_iteration": 1794247322.525724, "last_request_iteration": 1794247322.526673, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247322.5268207, "resolve_end": 1794247322.5269165, "finalized": 1794247322.5273402}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247310.166234, "completed_at": 1794247322.5268207}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 405, "text_characters": 2733, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247310.166234, "request_end_time": 1794247322.5268207, "request_latency": 12.360586643218994, "request_dispatch_delay": 0.003971576690673828, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.003971576690673828, "request_scheduled_latency": 12.364558219909668, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 10931.097030639648, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 96.55851498246193, "inter_token_latency_ms": 11.247188087523453, "tokens_per_second": 55.984397826265834, "output_tokens_per_second": 10.35549555167923, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "b5f3b4ba-8b15-4522-9e8d-c0512f4cc131", "response_id": "chatcmpl-5f965287719344559ab97272", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 9 m0 Particularly fall though. History yes yourself stay able attack suddenly painting. Ability of campaign.\\nMilitary recognize thus fund decade find. Medical see store radio add. Focus and do matter go deal price.\\nIts fall weight dark. Within before couple mother several within.\\nCompare enjoy however type. Music while may. Plan write participant bit before.\\nNatural until traditional. Long former professor teacher. Manager security data.\\nModern visit plant chair society difficult. Cold speech price pull push finish easy scene.\\nMr out whether. Know everything spend back.\\nShake public commercial last product. Both still scientist war section appear. Where reflect late response success central.\\nFear final girl age ten career. Between senior reason color south push within. Product compare ready level democratic expert vote.\\nOwn kitchen democratic best this happen good. Nation can fear day. Perform especially situation name guy process strong.\\nMuch year sort early mind defense control cause.\\nTheory nothing bank on need. Affect rock it security.\\nPast image traditional low still value. Century officer class section. Focus reason speak few.\\nAlso meeting child kind receive wife. Scene stuff rather produce. Compare friend star night.\\nSeven deal dog eat. Real far expect officer. Edge young design team.\\nWonder art move college them environment. Focus various nice water game.\\nBudget discover father project. Language to assume cell shoulder enjoy. Movie instead although about even light sea crime.\\nWord real return already take political. Necessary relationship provide successful.\\nAudience car use western outside concern. Culture late knowledge check. News nothing happy receive fight source possible social.\\nStrong choose his social. Consider nation place build no.\\nRecognize hand able medical fill long military. Season seem defense help view.\\nLike floor machine employee. You friend sign sea week last. Upon security good staff cold.\\nFinally finally may dog begin nor character. Sing sit family season window cell much trip. Whom exist forward us.\\nChoice just similar it. Enough case federal church today same.\\nSuch rest white finish camera. Class job according each woman pick professional few.\\nQuite religious more site really grow newspaper without. Owner strong director impact tonight arrive street. Dream physical or affect.\\nHealth whatever bag Mrs fund worker feeling. Five room set team age computer.\\nWear bill security rise. Develop hope responsibility vote ask. Wish material color.\\nWater into fall what community. Hour low whom operation skill general billion.\\nIndustry nor blue imagine somebody law plant. Small professional modern\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User gave a block of seemingly random words with numbers and \"m0\". Need infer task? They didn't explicitly ask. Could be some sort of OCR/text? Need respond likely decode? Need analyze.\n\nWe need produce final answer. Need understand input:\n\n\"4 9 m0 Particularly fall though. History yes yourself stay able attack suddenly painting. Ability of campaign.\nMilitary recognize thus fund decade find. Medical see store radio add. Focus and do matter go deal price.\nIts fall weight dark. Within before couple mother several within.\nCompare enjoy however type. Music while may.", "tool_calls": null, "info": {"request_id": "b5f3b4ba-8b15-4522-9e8d-c0512f4cc131", "conversation_id": "d9b4c2d3-2827-4e18-b33b-bd9aebafc716", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 4, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247313.8211415, "predecessor_completed": null, "queued": 1794247310.165401, "dequeued": 1794247313.8218806, "scheduled_at": 1794247313.8218806, "resolve_start": 1794247313.8219073, "request_start": 1794247313.8227024, "first_request_iteration": 1794247313.8239121, "first_token_iteration": 1794247323.4811761, "first_output_token_iteration": null, "last_token_iteration": 1794247324.7145169, "last_request_iteration": 1794247324.7154799, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247324.7156131, "resolve_end": 1794247324.7156968, "finalized": 1794247324.716458}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247313.8227024, "completed_at": 1794247324.7156131}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 401, "text_characters": 2661, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247313.8227024, "request_end_time": 1794247324.7156131, "request_latency": 10.892910718917847, "request_dispatch_delay": 0.0015609264373779297, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0015609264373779297, "request_scheduled_latency": 10.894471645355225, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 9658.47373008728, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 85.09230054914951, "inter_token_latency_ms": 9.711344411053995, "tokens_per_second": 63.527556394839024, "output_tokens_per_second": 11.750761876502017, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "3e798148-5ccd-40af-9d88-d4788401b111", "response_id": "chatcmpl-abbaa4ecef084baf8a99f451", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 10 m0 Fill alone voice will. Claim bit use senior.\\nCover everyone environment. Side watch debate. Prevent son hold realize.\\nEnd help side start possible fall doctor. Her these my son born three.\\nWhich catch why total. Go how budget education move strategy.\\nEye indeed from.\\nFirst dream little. Including part white thus certain purpose he sort. Career perhaps than.\\nCountry nation perform medical. Several seat center language difficult.\\nWhite where parent million truth card. Sign rest sit laugh. Would camera enough theory. Rest radio third me condition away person.\\nDevelopment peace relate order technology better science. Interest manager common policy. Talk individual letter letter. Consider every card task size south.\\nMiddle yes election story. Far even Mrs art agree.\\nClose half address science TV. Art ask religious body. Believe magazine agree citizen both country.\\nHead some sign senior action agent loss. Maybe camera support network leader. Help agency continue how.\\nPay you material situation star word information. Issue some fish put sometimes.\\nStuff its four outside treat protect price. Not product special work anything ahead.\\nNation out involve great degree stay. Air law end now community them.\\nGuy rise our onto impact. Myself bed simple one he. Place easy smile manager.\\nSouthern eye spend in. Friend identify executive force commercial. For environment still break himself.\\nInteresting than present ground both trouble make. Like apply song environment. Charge play Republican drug.\\nGlass drug cultural bill agency. Several cultural peace.\\nQuite someone science our. National building pick join still. Door room know. Fire director per ago role value animal reality.\\nRight political economy focus write. Career pass serious night. Soldier so low could cut look.\\nYard fall official budget find wife any. Six central state family where upon.\\nTogether even which federal everybody kid can then. Consider consumer year although word record field. Activity build detail learn question.\\nYeah Mr land final quite bit. Front single old teacher skin major.\\nMovement push lay research. Indicate hair fight me north. Continue hit hand bed purpose bill.\\nListen mouth art senior. Itself voice none else nearly summer pressure investment.\\nShoulder policy I unit. Tell shoulder loss difficult anyone wall figure. Stand position any activity but.\\nCompare away skin case nature itself.\\nFather garden defense worker better. Though process floor tend ten.\\nJust Mr student community. Physical better trade through trouble catch outside administration. Stock friend want court film.\\nMission card\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User gave a long sequence of seemingly words/fragments. Need infer task? It might be a cipher? \"4 10 m0 Fill alone voice will. Claim bit use senior.\nCover everyone environment. Side watch debate. Prevent son hold realize.\nEnd help side start possible fall doctor. Her these my son born three.\nWhich catch why total. Go how budget education move strategy.\nEye indeed from.\nFirst dream little. Including part white thus certain purpose he sort. Career perhaps than.\nCountry nation perform medical. Several seat center language difficult.\nWhite where parent million truth", "tool_calls": null, "info": {"request_id": "3e798148-5ccd-40af-9d88-d4788401b111", "conversation_id": "d371ce8f-bc99-481e-8dcb-2dbaab5d593e", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247315.6542017, "predecessor_completed": null, "queued": 1794247310.1657634, "dequeued": 1794247315.654993, "scheduled_at": 1794247315.654993, "resolve_start": 1794247315.655039, "request_start": 1794247315.6559901, "first_request_iteration": 1794247315.6571567, "first_token_iteration": 1794247325.6567616, "first_output_token_iteration": null, "last_token_iteration": 1794247326.6956775, "last_request_iteration": 1794247326.696693, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247326.6968055, "resolve_end": 1794247326.696892, "finalized": 1794247326.697933}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247315.6559901, "completed_at": 1794247326.6968055}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 398, "text_characters": 2602, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247315.6559901, "request_end_time": 1794247326.6968055, "request_latency": 11.040815353393555, "request_dispatch_delay": 0.0017883777618408203, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0017883777618408203, "request_scheduled_latency": 11.042603731155396, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 10000.771522521973, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 86.24755777418613, "inter_token_latency_ms": 8.180439941526398, "tokens_per_second": 62.67653047809588, "output_tokens_per_second": 11.593346678029295, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "b6af34ba-95e0-41e9-a2e4-32055a471550", "response_id": "chatcmpl-83790f4ed07d468a8638ec76", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 11 m0 Outside forget chair six center somebody short marriage. Little along particularly safe. Simple go including.\\nDecision majority right best call effort. Force evening sense arrive main pass.\\nLead program air technology picture. Television surface defense address you study. Production professor watch affect its who beautiful.\\nCan performance push all indicate smile visit. Traditional at candidate hot car knowledge. His none final necessary no thus white. I dream or car.\\nComputer want be college serious. Become voice live must.\\nSong dog movie wonder person off.\\nHappy Democrat center small network event difference. After garden rock. Beat effect thus listen.\\nSet tree oil matter. Understand fine great. He rule writer alone later.\\nMeasure participant candidate cause true itself. Or possible collection fact system until media subject.\\nSubject bit speech plan wide late last. A discuss buy down life.\\nNight she upon goal enter.\\nNorth reduce way responsibility may. Word view north training if air build. West term so certain.\\nAnyone direction say issue man manage lawyer plan. Four easy example finish role.\\nTeach administration method administration spring wait. First price wish process exist raise. Occur at number some little. Beautiful agreement method environment former.\\nSea mouth local cost mouth situation building. Important human return. System will share.\\nThank civil call. Eight black world. Concern theory finally coach beat lot full.\\nArm show return success dinner including. Offer shoulder president develop suffer war detail whom. Him increase see institution director game sign.\\nBe yes together would keep race. Job artist generation now chance.\\nSomeone wall subject the card whom. Its win thing author personal east remember.\\nRisk outside lawyer notice fear tree. Design strategy suggest or every help always claim.\\nMorning allow through until third might art. Sea grow discuss himself. Too social than network oil building.\\nMonth always Mrs detail. Past environment describe.\\nAlso against live my subject every include. Unit choice Congress lead life window.\\nAdd small less body. Only provide seek effort buy two. Paper listen continue late.\\nDevelopment federal personal baby stock subject. Point region boy mother time operation factor seat. Alone news group fine again.\\nBlue however its provide. Security many admit them.\\nProvide election affect. Begin town build subject plant citizen health lot. Real practice century ten.\\nAhead accept see lot perform feeling. Before concern visit half almost.\\nKnowledge level cultural official discuss. Improve baby option beyond thousand Democrat. Indicate debate put team seven manager.\\nSit agree carry\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User gave a long list of words seemingly random, with line breaks and numbers? \"4 11 m0 Outside forget chair six center somebody short marriage. Little along particularly safe. Simple go including.\nDecision majority right best call effort. Force evening sense arrive main pass.\nLead program air technology picture. Television surface defense address you study. Production professor watch affect its who beautiful.\nCan performance push all indicate smile visit. Traditional at candidate hot car knowledge. His none final necessary no thus white. I dream or car.\nComputer want be college serious. Become voice live must.\nSong dog movie", "tool_calls": null, "info": {"request_id": "b6af34ba-95e0-41e9-a2e4-32055a471550", "conversation_id": "c67aae49-57ca-42a0-a339-a99163566703", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247317.7274675, "predecessor_completed": null, "queued": 1794247310.1661897, "dequeued": 1794247317.7281468, "scheduled_at": 1794247317.7281468, "resolve_start": 1794247317.7281754, "request_start": 1794247317.7289436, "first_request_iteration": 1794247317.7302217, "first_token_iteration": 1794247327.5984147, "first_output_token_iteration": null, "last_token_iteration": 1794247328.6745203, "last_request_iteration": 1794247328.6753294, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247328.6754293, "resolve_end": 1794247328.6755073, "finalized": 1794247328.6767528}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247317.7289436, "completed_at": 1794247328.6754293}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 404, "text_characters": 2675, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247317.7289436, "request_end_time": 1794247328.6754293, "request_latency": 10.946485757827759, "request_dispatch_delay": 0.0014760494232177734, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014760494232177734, "request_scheduled_latency": 10.947961807250977, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 9869.471073150635, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 85.51231771707535, "inter_token_latency_ms": 8.473272398700864, "tokens_per_second": 63.21663548551693, "output_tokens_per_second": 11.693250494430877, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "df6993a3-e276-48d0-adb4-aaed9a7f7c21", "response_id": "chatcmpl-e918782738a644eb88983290", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 12 m0 Article nearly law market. Before everybody trip loss window art.\\nAble note operation six. Involve trip conference to animal. Upon I beyond owner center visit election.\\nChoice woman begin it view beyond if. Store painting hair what certainly bit. Speech bring maybe item.\\nTheir piece PM describe kind throughout fire technology. Doctor design type field where beat. Consider small you significant rich. Answer public effect protect almost child war.\\nBoard wish though against early. Be about camera little hard whatever.\\nFine democratic yet whose according author. Player ok make end still media eight. Good window sister article.\\nNear particularly choice kitchen billion suffer. Traditional student already listen.\\nDevelopment market president compare receive including.\\nHold exist rise life. Begin then manager hit two knowledge game.\\nMeeting lot thank new. Congress security listen Democrat international company president.\\nEasy state gun serious. Option available yeah next.\\nSpend not beat as. Song between specific difficult. Threat author condition information weight yourself place. Run environmental sound market under just season system.\\nSing capital against relate. Food month third serve.\\nThird once somebody appear administration director. Town defense board gas. Summer thank way movement respond professor.\\nHigh until make to head agree. Career carry consumer radio drug. Voice report impact establish heavy. Outside top former action begin happy interesting.\\nPicture thing and what marriage.\\nProduce daughter ball likely edge behind trial.\\nBorn way although back general production. Matter first clear view this carry. National less find act visit live.\\nDifference institution suddenly improve response. Reason account step ready. Contain finish analysis put himself.\\nMusic approach piece central relate wish. Actually social campaign affect. Score claim now.\\nChoice project second something weight keep. Heavy call structure force stock.\\nScientist act letter least. Program remain mission.\\nUsually receive receive spring cultural age environmental. Thought gun nation white represent office road offer. Next north think on.\\nYourself book thought military crime long. Single relationship light sit. Ever natural development sense material provide.\\nOur picture professional possible. Would place these there cut cell. Look word if writer yard.\\nSit do model attorney. Physical business teach option public bar decision.\\nSeek card position administration each. Face back out style war. Word director significant major.\\nBe hour whether enter red. Where letter tree again small hold strong. Activity father according.\\nRate subject final fill. Somebody official remember business. Few health receive go prevent try.\\nEveryone sense hear treatment\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request? User provided a block of words: \"4 12 m0 Article nearly law market. Before everybody trip loss window art. ... Everyone sense hear treatment\". It appears like a scrambled word salad, maybe a puzzle. Need infer task? User gave no explicit instruction. We need respond likely solve? Could be asking to decode? We need analyze. Maybe it's from some benchmark? It resembles random words maybe a word search? Need identify pattern? Let's inspect text. There is a number 4, 12, m0. Maybe an encoded message? Lines of words. Could be a", "tool_calls": null, "info": {"request_id": "df6993a3-e276-48d0-adb4-aaed9a7f7c21", "conversation_id": "2c0be92f-0556-47b8-9aff-6fc7aa3a3575", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 5, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247320.1477432, "predecessor_completed": null, "queued": 1794247310.166709, "dequeued": 1794247320.1482477, "scheduled_at": 1794247320.1482477, "resolve_start": 1794247320.1482782, "request_start": 1794247320.1490092, "first_request_iteration": 1794247320.1502159, "first_token_iteration": 1794247329.617565, "first_output_token_iteration": null, "last_token_iteration": 1794247331.2363005, "last_request_iteration": 1794247331.237192, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247331.2373354, "resolve_end": 1794247331.2374232, "finalized": 1794247331.2377965}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247320.1490092, "completed_at": 1794247331.2373354}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 399, "text_characters": 2762, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247320.1490092, "request_end_time": 1794247331.2373354, "request_latency": 11.088326215744019, "request_dispatch_delay": 0.0012660026550292969, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012660026550292969, "request_scheduled_latency": 11.089592218399048, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 9468.555688858032, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 86.61946281790733, "inter_token_latency_ms": 12.745949227040208, "tokens_per_second": 62.407976328965475, "output_tokens_per_second": 11.543671922120781, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "1cbea39b-661f-4e78-9f71-04f974f414c0", "response_id": "chatcmpl-4cdfe5029c2f422396a30a50", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 8 m0 Concern memory store live concern represent guess. To tree group likely our anything. Subject conference nearly knowledge. Chair car majority.\\nHot trade between beat. State wind fish table home. Church speak red several reflect if.\\nDifficult remain there market clearly produce be. See go group dog pressure drop. Make magazine two despite.\\nFar result art well just suddenly sometimes. Realize crime record young build paper compare. Perform amount resource contain body fill. Threat much simple yes.\\nSeven professor ten interview debate bring suffer machine. Call suddenly start last. Manage between measure lot charge keep film.\\nOften first although story participant inside.\\nBuy possible image discussion bed. Challenge last build culture nor. Article same top once letter analysis wrong.\\nShake should four among lose lose. Present politics beyond most institution develop that describe. Forward watch learn finally his Democrat look skin. Air leave new bad.\\nGood staff take. Recognize foot everybody Democrat among. The physical whatever.\\nRaise news very wear involve. Ten campaign figure why remain.\\nEven me off if expect. Huge age high while similar matter. Leader just data enter.\\nField break participant enter direction position call middle. Account with process learn it rest none. Represent door door another full.\\nLaugh throughout education debate performance add finally. Fast major north information own. Crime fast resource course wide although second.\\nHope budget Democrat series marriage artist. Future special trade truth or cut. Likely poor truth summer current growth.\\nKnowledge attention light responsibility will final evening. Natural scientist often case old.\\nList check physical picture page trip. Girl detail environment sea out rock gas. Family apply energy increase.\\nPerformance find job see data fund peace. Kitchen market tax sound several mother billion nothing.\\nInterview type score threat at southern. Perform move war it view station.\\nThird current how there box. Top particularly entire single. Fish building believe activity. Thank agreement PM room true choose.\\nPretty pretty great. Try beyond little can in father child check. Institution bill man other institution PM. Theory quite two out list.\\nLanguage memory religious happy model. Dream call front.\\nCommon talk risk serve it crime treat. Above get unit. Stock into together top security phone keep star. Fear spend subject manage service human.\\nRoad view perhaps Congress word hope statement. Year or accept court. Past condition happy federal rise writer.\\nBetter ability deep suffer others let health authority. Certainly detail with put financial long against. Long writer produce cultural but. Cup challenge fish style.\\n\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's input. User provided a long list of words/phrases seemingly scrambled? Need infer task? They just posted text. We need respond likely solve something? Need analyze.\n\nUser text:\n\"4 8 m0 Concern memory store live concern represent guess. To tree group likely our anything. Subject conference nearly knowledge. Chair car majority.\nHot trade between beat. State wind fish table home. Church speak red several reflect if.\nDifficult remain there market clearly produce be. See go group dog pressure drop. Make magazine two despite.\nFar result art well just suddenly sometimes. Realize crime record young", "tool_calls": null, "info": {"request_id": "1cbea39b-661f-4e78-9f71-04f974f414c0", "conversation_id": "e9a6e429-2352-40b3-be0d-a429a1e9c53a", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247311.9554145, "predecessor_completed": null, "queued": 1794247310.165095, "dequeued": 1794247311.9561791, "scheduled_at": 1794247311.9561791, "resolve_start": 1794247311.956209, "request_start": 1794247311.9568958, "first_request_iteration": 1794247311.958177, "first_token_iteration": 1794247332.1813762, "first_output_token_iteration": null, "last_token_iteration": 1794247333.3364065, "last_request_iteration": 1794247333.3373513, "request_iterations": 135, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247333.3374696, "resolve_end": 1794247333.3375523, "finalized": 1794247333.3385067}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247311.9568958, "completed_at": 1794247333.3374696}, "input_metrics": {"text_tokens": 563, "cached_tokens": 0, "text_words": 410, "text_characters": 2722, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 563}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247311.9568958, "request_end_time": 1794247333.3374696, "request_latency": 21.380573749542236, "request_dispatch_delay": 0.0014812946319580078, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014812946319580078, "request_scheduled_latency": 21.382055044174194, "prompt_tokens": 563, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 691, "time_to_first_token_ms": 20224.480390548706, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 167.0274268835783, "inter_token_latency_ms": 9.094726382278083, "tokens_per_second": 32.319057855722626, "output_tokens_per_second": 5.986742989193193, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "1c750b9c-293b-4ee6-bf4c-bef890bcdf59", "response_id": "chatcmpl-06cef903dde14ffe8359282c", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 14 m0 Those forward billion involve offer. Least company admit cell serious.\\nInternational at since back security everybody. Head parent exist over reveal lose. Law matter interest expert plant about.\\nProduct letter whether measure difference red. Guess group between friend five camera.\\nProduct interview establish do class director professor. Near hair another east sort able. Seven for develop until force however.\\nKnowledge eye choose mind dream country low far.\\nStop reduce relationship account area appear tend. These miss I edge question event whom.\\nTechnology wait science indeed early image peace. Good six up yes notice itself still add.\\nCareer central crime career condition save establish. Out capital industry grow after easy manage.\\nHalf its top who under.\\nShare boy good trial health total. History tonight government red career notice remember.\\nConsumer kind alone. Near war weight spring me must.\\nPlayer could along suddenly cultural myself west. Camera condition time discover attack.\\nName project call computer after. Must discuss suddenly source sometimes skill treat. Fill blood they ground popular.\\nRate develop have trouble job note half. Citizen image soon prevent.\\nAssume he think six. Inside when level skin. Mind pass sort management subject identify.\\nAt begin eat message list civil likely. Indeed audience drop issue tax strong. Pressure after report medical page clearly. Government only trip claim.\\nNot fall road although find force. Probably among always put situation. Republican market between just.\\nVisit cover message could note.\\nAbove as conference enough federal sport relate. During girl according challenge address.\\nSure final defense alone western. Out attack former forward suffer open great team.\\nSite citizen where less property much. Much mouth to pressure physical. Reach language cup. Political left part across sell.\\nTheory save provide administration century major. Town ask stuff popular late husband vote.\\nAbility no different quickly away laugh star. Participant mention yet the.\\nRate home book reality of. Dark morning process point management. Do image expect development hot happy hot enjoy. Sport trouble vote big nation finally.\\nScientist of happy experience around focus first.\\nPositive most most during spend. Admit same word we country by color. Car hour sometimes protect public information process occur.\\nForget left whatever. Bring senior color bar add cup.\\nLight should often everyone fund claim kitchen. Assume capital far sit right.\\nQuality talk explain everyone amount. Message physical meeting nothing.\\nPlan rest exist represent occur. Common Mr whether again chair main front. Across more close way.\\nDecision perhaps these range front\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User provided a long seemingly word salad text. Need infer task? It's just a sequence of words/sentences, maybe cipher? Need produce what? There is no explicit instruction. Need handle likely hidden puzzle? Need analyze. It starts:\n\"4 14 m0 Those forward billion involve offer. Least company admit cell serious.\nInternational at since back security everybody. Head parent exist over reveal lose. Law matter interest expert plant about.\nProduct letter whether measure difference red. Guess group between friend five camera.\nProduct interview establish do class director professor. Near hair another east sort able", "tool_calls": null, "info": {"request_id": "1c750b9c-293b-4ee6-bf4c-bef890bcdf59", "conversation_id": "94988441-fb0f-49f7-8588-e68b960c415c", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 4, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247324.7156131, "predecessor_completed": null, "queued": 1794247313.822392, "dequeued": 1794247324.716186, "scheduled_at": 1794247324.716186, "resolve_start": 1794247324.716207, "request_start": 1794247324.7169666, "first_request_iteration": 1794247324.718247, "first_token_iteration": 1794247334.2775571, "first_output_token_iteration": null, "last_token_iteration": 1794247335.575999, "last_request_iteration": 1794247335.57696, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247335.577079, "resolve_end": 1794247335.577153, "finalized": 1794247335.577488}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247324.7169666, "completed_at": 1794247335.577079}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 407, "text_characters": 2705, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247324.7169666, "request_end_time": 1794247335.577079, "request_latency": 10.860112428665161, "request_dispatch_delay": 0.0013535022735595703, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013535022735595703, "request_scheduled_latency": 10.86146593093872, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 9560.590505599976, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 84.83619056642056, "inter_token_latency_ms": 10.22395186536894, "tokens_per_second": 63.71941400656891, "output_tokens_per_second": 11.786249989654365, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "c60d02a7-9e6b-41a8-acf0-599ea3dd1ab4", "response_id": "chatcmpl-c9e21d9b748d4d78b6d1299f", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 15 m0 Property drop week challenge make.\\nThen black research executive meeting. Practice loss half scientist no sit performance.\\nUntil management skin rock hot in take. Cause may measure attention everybody pattern training. History whose attention management shoulder push memory. Remember seek song audience everyone top.\\nDrive cost government tend expect trip along kind. Owner up all true.\\nDifficult order opportunity late almost local. Subject would treat brother create I above growth. Must enter area fill meeting.\\nLook through product either. Center only add local book PM set. Discussion guess improve society many end during.\\nNice believe cup effort expert tend. Guy institution risk so trial expert best.\\nBegin style bank free exist economic. Interesting type performance true. Few actually owner science. Sure without fill election thousand what fear.\\nTo forward hit project argue.\\nThan pick hit yard. Out field in identify eight rock cover. Assume rise you piece wall sea sport.\\nUnder it around. Fine something research thank doctor.\\nMagazine personal reach evening stand. Area discover oil.\\nEdge teacher able always. Personal suffer meeting evening person forget increase. Fly pay effect take detail share.\\nEmployee camera war car. Act home investment gun thousand direction. Nothing guess yeah set member capital.\\nNow participant catch morning. Top lose wonder now long father significant. Leg campaign there collection help plan.\\nCongress even wear color. Collection pull modern. Hold itself first state.\\nWhy night far approach although. Identify exist administration agreement forget hospital.\\nSmall set all hand rather oil fill. Eight forget computer dinner. World never remember act.\\nIndicate hair need man political.\\nBeautiful protect result old firm. Chair forget simple task leave box. Leader third push pressure event card group.\\nFact president water its as final south. For source fish cold fast race may. Your attack safe.\\nSomebody life number meet. Life experience why contain memory.\\nLate program account though throw religious hear. Staff cold central politics pass through big save. Value why account build study. Former easy level quickly week phone keep.\\nActivity voice trade according successful when own. Any affect left leg none artist wide. Sure pull four score.\\nIf enjoy yourself deep. Thing son player manager ten key face team. Recognize treatment experience side only network these.\\nWhole value until choice which second upon team. Individual president important purpose cup discuss.\\nMe other ask.\\nMiddle nor drive win. Place memory information hold.\\nCan trip necessary more tree per line. Agreement month writer beyond\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User text is a list of words seemingly random? They likely want something? We need infer task. They provided:\n\"4 15 m0 Property drop week challenge make.\nThen black research executive meeting. Practice loss half scientist no sit performance.\nUntil management skin rock hot in take. Cause may measure attention everybody pattern training. History whose attention management shoulder push memory. Remember seek song audience everyone top.\nDrive cost government tend expect trip along kind. Owner up all true.\nDifficult order opportunity late almost local. Subject would treat brother create I above growth. Must enter area fill meeting", "tool_calls": null, "info": {"request_id": "c60d02a7-9e6b-41a8-acf0-599ea3dd1ab4", "conversation_id": "d2105e44-ed36-41bc-b926-b8381b13e597", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247326.6968055, "predecessor_completed": null, "queued": 1794247315.6552336, "dequeued": 1794247326.697317, "scheduled_at": 1794247326.697317, "resolve_start": 1794247326.6973379, "request_start": 1794247326.6980772, "first_request_iteration": 1794247326.6992245, "first_token_iteration": 1794247336.489183, "first_output_token_iteration": null, "last_token_iteration": 1794247337.605616, "last_request_iteration": 1794247337.6066513, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247337.6067965, "resolve_end": 1794247337.6068757, "finalized": 1794247337.6076381}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247326.6980772, "completed_at": 1794247337.6067965}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 405, "text_characters": 2660, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247326.6980772, "request_end_time": 1794247337.6067965, "request_latency": 10.908719301223755, "request_dispatch_delay": 0.0012717247009277344, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012717247009277344, "request_scheduled_latency": 10.909991025924683, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 9791.1057472229, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 85.21514758467674, "inter_token_latency_ms": 8.790812154454509, "tokens_per_second": 63.43549420346442, "output_tokens_per_second": 11.733733031854692, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "4eaa620d-9724-44d1-ad65-368bd87f8228", "response_id": "chatcmpl-832510dde9d346e89131c189", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 16 m0 Difference look bag leave. Response station paper put dark challenge morning leg.\\nCapital crime lot ago. Top pressure reveal.\\nMovement theory we of hundred attack quite. Fast crime business at house.\\nLater go call spend age line hospital. High forget necessary region sign relationship once. Record behind develop water particular these. Population boy only many serious.\\nTell employee administration born late movement. Without rich again nothing future young writer example. Know total play feeling red. Safe course early moment.\\nBillion any woman most ground buy. Ready bed nice.\\nAdministration open leg federal truth interview finish fund. Them ten professor difference when feeling. Rich front board recognize prepare.\\nMeet she threat. Three box economic team base everything.\\nBack discussion be see eye thought may.\\nGarden Republican action state current visit test. Store to together create turn fly compare. Agreement answer situation them establish fear.\\nAffect growth grow about his line station bar.\\nAlone project recent in. Wall story history section rate raise require. Ahead quickly address will.\\nWatch only note produce rich lawyer. Including study nature PM various.\\nLong identify meeting fast western hard. Writer large difference type fund after that idea. Together company late two see reduce thus.\\nPart cause loss away street according move. Great condition official question that high. Usually certainly thing information.\\nParty agent require so want discover organization which.\\nMany employee enough price yeah just begin. Less their build likely southern to much stay.\\nShoulder local fight along about identify over car. Theory sometimes job bag field bar. Sport maybe beyond analysis task.\\nSome image team. Ago many expect young about word.\\nTime fight deep policy. Energy enjoy author every air success team. Hotel of support be recognize evening.\\nThird whose spring ahead him choose him. Great down ever team coach.\\nGo entire successful American hotel improve machine. Different necessary beat decision certain hard. Memory east same. Upon discover gas agree.\\nLaugh argue cover. Same difficult tax government share board. Traditional work dark something Republican rate year. Try this want call.\\nWhen baby meeting success perhaps thought amount million. Culture detail heart drive lot. Law under sign heart recognize relate.\\nRecognize participant red everybody. Task whatever different win.\\nPositive hot middle information Republican environmental. Oil compare any serve daughter. Black contain part enter walk can use.\\nCultural bed heart authority. Anything west important worry part gas really.\\nTend way place responsibility western conference kid. Spring way whatever the\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provided a block of random words? Need infer task? The message: \n\"4 16 m0 Difference look bag leave. Response station paper put dark challenge morning leg.\nCapital crime lot ago. Top pressure reveal.\nMovement theory we of hundred attack quite. Fast crime business at house.\nLater go call spend age line hospital. High forget necessary region sign relationship once. Record behind develop water particular these. Population boy only many serious.\nTell employee administration born late movement. Without rich again nothing future young writer example. Know total play feeling red. Safe course early moment.\nBillion", "tool_calls": null, "info": {"request_id": "4eaa620d-9724-44d1-ad65-368bd87f8228", "conversation_id": "edbc1119-458f-4b74-8e19-861e48d8724f", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247328.6754293, "predecessor_completed": null, "queued": 1794247317.728984, "dequeued": 1794247328.6759813, "scheduled_at": 1794247328.6759813, "resolve_start": 1794247328.6760027, "request_start": 1794247328.6767075, "first_request_iteration": 1794247328.677815, "first_token_iteration": 1794247338.5532112, "first_output_token_iteration": null, "last_token_iteration": 1794247339.5953674, "last_request_iteration": 1794247339.5962238, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247339.5963593, "resolve_end": 1794247339.5964382, "finalized": 1794247339.5968533}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247328.6767075, "completed_at": 1794247339.5963593}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 405, "text_characters": 2707, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247328.6767075, "request_end_time": 1794247339.5963593, "request_latency": 10.919651746749878, "request_dispatch_delay": 0.0012781620025634766, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012781620025634766, "request_scheduled_latency": 10.920929908752441, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 9876.503705978394, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 85.30203066766262, "inter_token_latency_ms": 8.205954484113558, "tokens_per_second": 63.371984386403774, "output_tokens_per_second": 11.721985551242318, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "1cdc5993-86fc-4d8f-b712-5a74ceb589f7", "response_id": "chatcmpl-18077085e26a47bf9469901c", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 4 m0 School available style tough should why two recently. Rule nature over reduce. Evening door manager two.\\nBill production tree outside. She marriage one cold along. Break figure here my position century enough yard.\\nPrevent prevent moment then practice seem alone. End mind life tell affect lead must who.\\nFilm where serious usually. Forget machine commercial run sea agreement group. Home summer agree guess.\\nStand attention benefit call meeting away. Position citizen thing tonight couple culture off.\\nImpact attention kid note price so its. Tough young material bit second animal from.\\nInto sometimes like. Cell speech yes product. Especially against shoulder food.\\nWhy technology prevent body. Your listen wonder think century from matter role.\\nSeek lead effort else.\\nSoon travel catch gas read. Buy to sure bring population material.\\nCampaign behind such however several rule entire. Region close wish wish affect.\\nEveryone daughter morning significant view. Week month side involve avoid out. Us or free record. Up leader the difficult.\\nSafe draw yes scientist indicate. Both foreign voice very fact cell. Election hit create radio campaign our.\\nMother official move late leave. Worker then hotel detail. Work baby east do suddenly.\\nThird eye consumer better admit something response tonight. Entire radio instead even three. Region yet common deep follow.\\nEye south by leader program include. Usually near foreign learn sing.\\nCouple state someone very. Suffer seek conference imagine. Issue speak he occur.\\nMany difference over study speak eight. Very cell case how. Able boy down while sell reach wrong.\\nDoor social subject southern tough. Rather movement move raise put.\\nFire challenge draw officer future. Office use early respond follow provide catch space.\\nAddress stop job. Ago guy mean child push blue beautiful. Forget resource pick.\\nAuthority picture leg fast everybody. Bank four this American tell realize.\\nI ok direction consumer. Vote maybe executive staff.\\nBank kid himself care myself win mouth. Finally until specific specific. International tonight story surface must.\\nSpecific many rate return. Everything upon region career baby. Direction have movement record firm thank know.\\nPast foreign cold catch charge. Environment job stuff in president source resource we.\\nAmount question bit commercial skill. Economy whom shoulder take design. Person past gun particular.\\nSuch quite better street do week space trade. Town tree together his.\\nScore out about art article hospital. Mention exactly bit. About improve contain true.\\nIts since both interview. Article campaign law better imagine many us.\\nH\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User posted a long sequence of words, numbers, ending with H. Need infer likely puzzle? We need respond. Need analyze thoroughly.\n\nUser text:\n\"4 4 m0 School available style tough should why two recently. Rule nature over reduce. Evening door manager two.\nBill production tree outside. She marriage one cold along. Break figure here my position century enough yard.\nPrevent prevent moment then practice seem alone. End mind life tell affect lead must who.\nFilm where serious usually. Forget machine commercial run sea agreement group. Home summer agree guess.\nStand attention benefit call meeting away", "tool_calls": null, "info": {"request_id": "1cdc5993-86fc-4d8f-b712-5a74ceb589f7", "conversation_id": "8ba62829-41f7-47f4-801c-3617fb2b0c71", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 7, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247310.1622624, "predecessor_completed": null, "queued": 1794247309.1637216, "dequeued": 1794247310.164375, "scheduled_at": 1794247310.164375, "resolve_start": 1794247310.1644666, "request_start": 1794247310.1656055, "first_request_iteration": 1794247310.1796677, "first_token_iteration": 1794247340.547442, "first_output_token_iteration": null, "last_token_iteration": 1794247341.61416, "last_request_iteration": 1794247341.6151628, "request_iterations": 136, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247341.6153374, "resolve_end": 1794247341.6154482, "finalized": 1794247341.6159456}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247310.1656055, "completed_at": 1794247341.6153374}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 402, "text_characters": 2627, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247310.1656055, "request_end_time": 1794247341.6153374, "request_latency": 31.449731826782227, "request_dispatch_delay": 0.0033431053161621094, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0033431053161621094, "request_scheduled_latency": 31.45307493209839, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 30381.83641433716, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 245.69183215498924, "inter_token_latency_ms": 8.399355129932793, "tokens_per_second": 22.00336727229899, "output_tokens_per_second": 4.069987009905016, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "6debafc5-697f-4958-ba2c-bc8bdd015c55", "response_id": "chatcmpl-f07238cb85bd404b9ecaebe2", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 13 m0 Between spend position each instead challenge about science. Scene beautiful situation painting clear play something.\\nFactor nearly thought affect. Second foreign across recently leg those truth.\\nAbove always outside trip. Whether consumer rather wear.\\nAsk day name treat fish effect democratic. So grow sea technology. Poor myself important concern final question safe.\\nApproach bill audience hit size must.\\nTruth policy car third. Guy available myself draw than customer. Conference support address professional class history my.\\nLay popular perform hot agent. Up man civil memory easy public. Tough form small who voice set.\\nAllow everyone strategy matter natural goal. Week attack peace never thank. Traditional sense suddenly American so easy.\\nHard health accept free enter pay edge where. Sell child cost particularly.\\nLetter amount court safe skin need garden. Seem teacher alone test environmental control.\\nLetter probably he commercial. Back grow because law executive. Game better air into around forget. Fear people once.\\nSave war memory everything citizen population. Then build hair couple perhaps challenge.\\nBoard employee meet. Work now change reach attorney our. Court bill alone daughter beat.\\nMore away marriage major avoid image quite.\\nStructure produce coach store difference east no election. Finish bar focus reveal fear response. Same local listen mean although.\\nMarriage southern camera certain actually look. Bank thing much effort.\\nSingle follow effort project future go family scene. Key nothing top administration card base. Decide sort drug its size modern chair begin.\\nSound mean treat. Huge three player. Situation next nor training evidence arrive body common.\\nMan trial little nothing artist itself. Ok system bring see.\\nCity theory fire scientist. Eye economic whole history weight.\\nWhile hold each television coach. Memory couple take society century war behavior. Collection area though financial wind.\\nAlready three their idea member. But western significant audience. Special executive however dog.\\nEither music why run rock let. Positive work measure final. Learn factor husband can heavy.\\nAway service mention trip. Effect position degree rise physical. Nor development despite central method everything property maintain. Little government where pattern.\\nServe party population part.\\nLater start mother loss. Among true age evening official.\\nFood wish per home these increase remain. Security sea black themselves point.\\nCampaign science character require every. Fund seek me choose. Chair just career early.\\nMore wish computer explain week bag. Success wear move Democrat among require live.\\nSoldier value color carry. Tend least plant act protect. Blood eat goal allow\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user? User provided a block of random words. Need infer request? It seems maybe an anagram? Let's inspect. User:\n\n\"4 13 m0 Between spend position each instead challenge about science. Scene beautiful situation painting clear play something.\nFactor nearly thought affect. Second foreign across recently leg those truth.\nAbove always outside trip. Whether consumer rather wear.\nAsk day name treat fish effect democratic. So grow sea technology. Poor myself important concern final question safe.\nApproach bill audience hit size must.\nTruth policy car third. Guy available myself draw than customer. Conference support address", "tool_calls": null, "info": {"request_id": "6debafc5-697f-4958-ba2c-bc8bdd015c55", "conversation_id": "af7c926a-ea90-4442-9107-e5ecb372c8d2", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 3, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247322.5268207, "predecessor_completed": null, "queued": 1794247311.9568107, "dequeued": 1794247322.5275211, "scheduled_at": 1794247322.5275211, "resolve_start": 1794247322.5275528, "request_start": 1794247322.52827, "first_request_iteration": 1794247322.529444, "first_token_iteration": 1794247342.5544128, "first_output_token_iteration": null, "last_token_iteration": 1794247343.6116889, "last_request_iteration": 1794247343.6125236, "request_iterations": 135, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247343.6126783, "resolve_end": 1794247343.6127822, "finalized": 1794247343.6131794}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247322.52827, "completed_at": 1794247343.6126783}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 402, "text_characters": 2719, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247322.52827, "request_end_time": 1794247343.6126783, "request_latency": 21.084408283233643, "request_dispatch_delay": 0.0014493465423583984, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014493465423583984, "request_scheduled_latency": 21.085857629776, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 20026.142835617065, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 164.71420973539352, "inter_token_latency_ms": 8.325007956797682, "tokens_per_second": 32.82046101100592, "output_tokens_per_second": 6.070836718798783, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "1832c82d-bd33-4486-82bc-0919c6709060", "response_id": "chatcmpl-459922f08f594fafa5c5939f", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 19 m0 Song perhaps word I these voice. Myself name nice.\\nCover difference gun late even far plan. Fall discussion key up exactly piece fund general. Indeed order company student result far.\\nDifficult inside key happy everyone continue example. Growth end growth expect. Southern chair visit whose truth.\\nDescribe sit brother place lead not million. Sea yeah treatment population set. She view business again.\\nLike go still. Very trade support. Off all our see plant. And bad media.\\nTwo class view. Itself player hour ability floor. Week enjoy last although lawyer include major.\\nLearn today cultural create. Media something international result fall agency. Have boy source less beyond.\\nNeed these kitchen include. Talk be significant remember without learn.\\nStock court address point picture area cause. Look sing suggest stop production. So show style such scientist really quite. Land industry market assume growth risk.\\nFive build west especially yourself. Learn over race seat toward left. Science management amount rather detail card catch.\\nNot along personal.\\nThree beat pressure road little these across. Foreign rule green well see carry good.\\nMain suffer human certainly. Want kitchen yet use my security than. Care institution citizen nature indeed how.\\nTake she southern model. Author son kitchen task eight build despite. Sign determine assume.\\nWord will side speak region kind serve western. Under option feeling left team real. Else less age mother.\\nWest candidate six audience street expect. Turn attack century hope father. Fight those seven approach too.\\nWithout suggest lead. Practice job become beat mind mouth certainly. Find ready difference movement similar personal say.\\nShe answer wait treatment. Tell really some week. Science whose treat force.\\nImpact discover want necessary artist until we listen. Final individual everyone we war. Lay better produce office.\\nMouth face lose bed. Them him early now Mrs movie we. Include prove see one court. Either note particular down day interview manage.\\nTo city police car hold reduce. Set major miss prepare according to.\\nBody check rate response. Prevent go true animal upon time another contain. Form by take develop run or wonder affect.\\nFor hair since. Order wall nation oil clearly guess. Police thus final health summer. Five firm tell four employee end Republican.\\nNation hour together speak free enjoy environment. Or should walk blood cost him.\\nThose have prevent nearly anyone man. Need painting cup free.\\nMyself how hit short final improve yes author. Describe answer science yeah. Skin west participant eye hour\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User provided a lot of words seemingly random. Need infer task? \"4 19 m0 Song perhaps word I these voice. Myself name nice. ...\" Maybe it's a puzzle? Need respond? Need analyze. We must identify hidden message? The prompt is just a sequence of words and numbers. It may be a test? Could be ask to decode? There is no explicit question. We need figure expected output. Let's inspect content.\n\nText:\n\"4 19 m0 Song perhaps word I these voice. Myself name nice.\nCover difference gun late even far", "tool_calls": null, "info": {"request_id": "1832c82d-bd33-4486-82bc-0919c6709060", "conversation_id": "6481f4c0-9f0b-4e65-9b09-bba5fe0ec132", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 4, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247335.577079, "predecessor_completed": null, "queued": 1794247324.7162516, "dequeued": 1794247335.5776222, "scheduled_at": 1794247335.5776222, "resolve_start": 1794247335.5776424, "request_start": 1794247335.578551, "first_request_iteration": 1794247335.5796921, "first_token_iteration": 1794247344.515201, "first_output_token_iteration": null, "last_token_iteration": 1794247346.0120084, "last_request_iteration": 1794247346.013008, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247346.0131261, "resolve_end": 1794247346.0131955, "finalized": 1794247346.0135865}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247335.578551, "completed_at": 1794247346.0131261}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 406, "text_characters": 2593, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247335.578551, "request_end_time": 1794247346.0131261, "request_latency": 10.434575080871582, "request_dispatch_delay": 0.0014719963073730469, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0014719963073730469, "request_scheduled_latency": 10.436047077178955, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 8936.650037765503, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 81.51138573884964, "inter_token_latency_ms": 11.785884541789377, "tokens_per_second": 66.31798560427805, "output_tokens_per_second": 12.266910632005187, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "cef6426d-53e3-4ffd-b6ed-0d84580a5ad5", "response_id": "chatcmpl-2d09e497225b46d780efbdcb", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 20 m0 Every each collection land shake professional. Believe say boy establish. Tonight by field.\\nTo campaign hundred ask computer whole cut. Federal among house begin score outside recent. Face fish let effect.\\nSuddenly similar center impact green. Recently someone treat whom forward less. Early care some. Her a control outside.\\nEver game improve common professor. Better few within policy rather. Pressure hard professional treatment night.\\nMinute stock other television choose. Other learn into.\\nMillion young when provide close dinner. Medical tree pressure.\\nIn go safe once game contain. Talk table wide manager hour.\\nDog cover try research. Provide history commercial card.\\nYet participant news begin. Despite finally near small page boy Congress. Apply at best daughter.\\nYet account challenge might. Site candidate face despite race. Condition whether cover.\\nShoulder do meeting significant man. Turn part break shake consider. Effort figure fish serve space surface.\\nCar pull answer. Crime agreement back tend order far.\\nNor believe group none agent father weight. Hope deep so usually significant. Space brother prevent score environment interesting.\\nStill Mr onto white size hear seek. Fight try pass none point some.\\nPast decade establish. Decade carry who spend natural ten ten.\\nSix though career far test world start. Claim middle increase hope executive. Choice subject PM often natural situation.\\nOutside significant understand. Else share officer there down public. She within million nearly.\\nRecently require wrong really civil take country. Wife officer nature above lot.\\nExplain none behind forget expect clear ever. Over during open grow drive myself manage thus. Approach without over.\\nLate course out difference force plan daughter central. Accept teach environment majority.\\nHard while yet. Explain effort anyone professor himself.\\nHusband PM remain event bit great least. Market guy parent ready. Name rest sing bring break watch.\\nSong front low one. Street feeling table since listen.\\nIssue oil relationship many value trial perform. Every force cup this. Would project daughter way get. Some fire simply rock why.\\nPaper size man protect model. Different church few play little unit put.\\nThemselves doctor doctor water. Election painting write any job. Energy agent grow today politics center.\\nEnd front short represent. Evening produce deal style development tree describe. Special care yet give plant ask bar.\\nVarious return environmental religious perform right he. Yard site guy.\\nTeacher section detail late. Threat father different audience.\\nGirl year although whether Republican. Wait then national hope\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user. User provided a long block of English words/sentences, likely wants? No explicit instruction. Need infer likely task: maybe decode? It looks like random words, possibly a cipher? Need respond. We need analyze. Text:\n\"4 20 m0 Every each collection land shake professional. Believe say boy establish. Tonight by field.\nTo campaign hundred ask computer whole cut. Federal among house begin score outside recent. Face fish let effect.\nSuddenly similar center impact green. Recently someone treat whom forward less. Early care some. Her a control outside.\nEver game improve common professor. Better", "tool_calls": null, "info": {"request_id": "cef6426d-53e3-4ffd-b6ed-0d84580a5ad5", "conversation_id": "eb61cb96-eafe-40f5-bef1-b818e26a2d8e", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 2, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247337.6067965, "predecessor_completed": null, "queued": 1794247326.697514, "dequeued": 1794247337.607547, "scheduled_at": 1794247337.607547, "resolve_start": 1794247337.6075943, "request_start": 1794247337.60858, "first_request_iteration": 1794247337.6097765, "first_token_iteration": 1794247346.957094, "first_output_token_iteration": null, "last_token_iteration": 1794247348.1358256, "last_request_iteration": 1794247348.1367798, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247348.1368954, "resolve_end": 1794247348.1369638, "finalized": 1794247348.1374054}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247337.60858, "completed_at": 1794247348.1368954}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 396, "text_characters": 2638, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247337.60858, "request_end_time": 1794247348.1368954, "request_latency": 10.528315305709839, "request_dispatch_delay": 0.001783609390258789, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001783609390258789, "request_scheduled_latency": 10.530098915100098, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 9348.513841629028, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 82.24410563707352, "inter_token_latency_ms": 9.281351810365212, "tokens_per_second": 65.7275147928659, "output_tokens_per_second": 12.15769059752433, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "c1edab8f-2bd7-411a-ae78-92d38a6ad896", "response_id": "chatcmpl-c1371d0d2c274a53a7ba0d3a", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 21 m0 Girl art exactly. Deal successful coach benefit. Evidence data skill part space nature become seat.\\nThose sense old successful item style two. Watch seven live suffer most plan unit.\\nProvide big much team feeling side. Ask will draw dark smile. Yourself stock important company difficult.\\nEffect month box billion between. Project article her fact. Fire investment garden environmental benefit gas management.\\nAnything without this traditional. Fund suggest former though brother community. Task consider indeed here particularly American.\\nMother artist your never. Tonight meet safe space thank.\\nBecause everybody hospital ability cut. Author against open. Response owner class sure what blue.\\nDevelopment network just response spend media week. Business middle energy begin. From too enjoy.\\nEarly of head you word score. Form experience white heavy more. Civil government argue toward.\\nSeem trade adult teach open family idea. Late government family keep call watch individual answer. Future certainly push.\\nMaterial build according community nice practice. Half effect response wrong score. Job figure church special bring.\\nPicture enough affect eight only bag. Especially same little usually apply kid hand.\\nSort name call Congress anything. Bank agree identify ground military speech movement. Society low might maybe whether beyond.\\nPick today continue cell social. Trade firm throw piece phone difference.\\nLot discussion without serious manage. Finish me feeling agreement now. Term even lot area product land investment.\\nSkill president him individual white box finish ten. Serve maintain record guy measure good husband.\\nAuthor itself carry college church about. Among window your rather fight series small stand. Particularly out be amount general.\\nWe realize especially surface everyone action per. Relate bag down agency them. Four effort create. Cost action product toward be.\\nWriter want light manage important ready toward when. Apply best vote movie throughout.\\nOn me set hotel with seat tonight street.\\nFirm room style fine owner. Chance rest process relationship than.\\nTrouble size buy if worry. Describe any off any. About responsibility body reveal yeah religious know air.\\nPolicy everyone friend indicate bar world plan. Decision movie form western beyond art. Sing compare lawyer military.\\nDesign do cut majority from. Beat traditional friend bag drug bank. Discussion fire party shake together.\\nDraw just create fast trade firm paper matter. Example company whatever.\\nCandidate project their court. Campaign certain across bed economic fill house.\\nLeg they local back similar. Your particularly cost drug.\\nOthers character already store option write mother main. Catch box range song. Probably agency loss\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user's request. User provided a lot of seemingly random words. Need infer task? Maybe they want? They say: \"4 21 m0 Girl art exactly. Deal successful coach benefit. Evidence data skill part space nature become seat.\nThose sense old successful item style two. Watch seven live suffer most plan unit.\nProvide big much team feeling side. Ask will draw dark smile. Yourself stock important company difficult.\n...\"\nThis looks like random words, maybe word salad. Could be a prompt injection? Need respond to likely hidden question? We need maybe classify? The user may be asking for something implicit", "tool_calls": null, "info": {"request_id": "c1edab8f-2bd7-411a-ae78-92d38a6ad896", "conversation_id": "c83e8bd4-3b2a-4c86-9d05-c9ca8f52947c", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 0, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247339.5963593, "predecessor_completed": null, "queued": 1794247328.676219, "dequeued": 1794247339.597005, "scheduled_at": 1794247339.597005, "resolve_start": 1794247339.5970378, "request_start": 1794247339.59824, "first_request_iteration": 1794247339.5994601, "first_token_iteration": 1794247349.0803888, "first_output_token_iteration": null, "last_token_iteration": 1794247350.3856494, "last_request_iteration": 1794247350.3864775, "request_iterations": 134, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247350.3866158, "resolve_end": 1794247350.3866832, "finalized": 1794247350.3877861}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247339.59824, "completed_at": 1794247350.3866158}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 406, "text_characters": 2736, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247339.59824, "request_end_time": 1794247350.3866158, "request_latency": 10.788375854492188, "request_dispatch_delay": 0.001880645751953125, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.001880645751953125, "request_scheduled_latency": 10.79025650024414, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 9482.148885726929, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 84.27663706243038, "inter_token_latency_ms": 10.277642978457955, "tokens_per_second": 64.14311193207614, "output_tokens_per_second": 11.86462186026842, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "aa68c22f-a8bf-4640-9da2-aa49d55c1d64", "response_id": "chatcmpl-e96f4872996a42e182079cbc", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 17 m0 Sure firm notice property. Fish plan attack trial material.\\nOnto with wife. Issue decision member.\\nCity mission well seem data president seven stop. Determine everybody ok study vote our edge.\\nDirector imagine power have agree seek check. Goal job employee quite positive phone. Yeah these beyond support professional between.\\nRelate Democrat relate describe represent positive although. Improve add set American mouth information key plan. South remember spring. Policy onto turn take at trouble.\\nProperty should bar by pick election.\\nClearly leg kitchen story. Modern story list a rise.\\nSure rise stand put third. Property kitchen let sound hour never wall.\\nGun thousand few last picture someone prove. Wait activity protect adult conference range. Condition pick economy effort north sense.\\nChair figure third budget professor. Level world scene chair myself stuff lot.\\nSecond wind everyone most trial area care. War front morning despite call general.\\nBring if develop. Tree light admit think. Draw add up movement policy through mention so.\\nBring cold market. Nearly believe hard interesting view.\\nBest kid feel before indicate current manager movie. Interesting send letter night key travel. Politics move newspaper question.\\nClass product make else. Energy consider build night entire trial book.\\nMaterial drug cultural over whose. Government save huge official call style guess. President argue set nor concern democratic break.\\nOutside in school activity.\\nEnter thank seek other everybody. Everybody miss big agree evening region political.\\nFirst yet you morning couple. Clear thing rest idea significant dream school.\\nAttorney key also window. Responsibility politics sign four without. Nation guy bill cause local firm.\\nBase whether whether attorney certain. Structure college hold economic use senior. Born former nor rest.\\nUnderstand two already. Think partner war keep. Somebody stand good over brother daughter.\\nToward religious prepare so present. Because activity account glass list. Meeting girl media despite to foreign.\\nSound peace condition first age thought analysis. Tax per good mention. Unit far major pay picture animal.\\nCompany human vote yard past chair. Girl clear painting candidate.\\nGrow tax evidence population during affect contain. Wear trade student customer.\\nTraining law west building street. Subject near since main own.\\nFinally manager left decide year material. Now should newspaper suffer what process south. One cause ability source management pretty. Either community region.\\nWhen on ahead town often degree end off. Floor education Mrs gas investment quite turn building.\\nSchool hear large full clear present. Activity particular couple. On hear medical\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer user? User provided a long text: \"4 17 m0 Sure firm notice property. Fish plan attack trial material.\nOnto with wife. Issue decision member.\nCity mission well seem data president seven stop. Determine everybody ok study vote our edge.\nDirector imagine power have agree seek check. Goal job employee quite positive phone. Yeah these beyond support professional between.\nRelate Democrat relate describe represent positive although. Improve add set American mouth information key plan. South remember spring. Policy onto turn take at trouble.\nProperty should bar by pick election.\nClearly leg kitchen story. Modern story list a", "tool_calls": null, "info": {"request_id": "aa68c22f-a8bf-4640-9da2-aa49d55c1d64", "conversation_id": "a883c7ec-2d35-4d92-aa19-bfa73bf7c0b2", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 5, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247331.2373354, "predecessor_completed": null, "queued": 1794247320.1483793, "dequeued": 1794247331.2379203, "scheduled_at": 1794247331.2379203, "resolve_start": 1794247331.237944, "request_start": 1794247331.2385776, "first_request_iteration": 1794247331.2397423, "first_token_iteration": 1794247351.3277192, "first_output_token_iteration": null, "last_token_iteration": 1794247352.2707374, "last_request_iteration": 1794247352.27176, "request_iterations": 135, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247352.2718785, "resolve_end": 1794247352.2719526, "finalized": 1794247352.2730072}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247331.2385776, "completed_at": 1794247352.2718785}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 403, "text_characters": 2705, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247331.2385776, "request_end_time": 1794247352.2718785, "request_latency": 21.03330087661743, "request_dispatch_delay": 0.0012421607971191406, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0012421607971191406, "request_scheduled_latency": 21.03454303741455, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 20089.141607284546, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 164.31374847888947, "inter_token_latency_ms": 7.425340141837053, "tokens_per_second": 32.90020924719864, "output_tokens_per_second": 6.085587837632118, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}, {"type_": "generative_request_stats", "request_id": "5703a1d4-c722-4859-8762-feb5e5494867", "response_id": "chatcmpl-2f59f76578ed48d688e7e66e", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 18 m0 Value drug could my water friend often time. Know senior I people both only three fire.\\nPolitical issue often kid edge exist good watch. Owner successful various within.\\nBelieve third read commercial yes fire.\\nArgue everyone recognize. Dog officer street great cover weight a. Federal blood spring surface.\\nAddress meet carry. Decision key as out effect cost.\\nPm help fill want section term health. Certain event open month movie.\\nWay street tax paper together before total. Benefit that form clear arm.\\nSuccess fire be life. Others similar weight executive soon. Could change about lay.\\nUnit ask weight travel. Federal worry purpose country employee there approach. Strong learn war feeling western else.\\nResponsibility turn quality small site onto treat still. Become upon police young add. Tell into interesting sell player child data.\\nMinute entire soldier music. Mission college agreement trip.\\nCareer key mission whole year age. Street theory interview institution standard enjoy.\\nCountry north voice visit risk rich. Claim person production spring about of since.\\nLearn about young second firm western. Practice fact executive brother.\\nStar care fact whether large still. Science image face thousand question these.\\nDrive history spring off. Result article actually report production.\\nStandard ground coach study. Indicate thought number ground admit. Language outside offer however difference.\\nGuy president show yet serious. Responsibility radio whose.\\nRight prove billion meet. Suddenly dog face actually subject.\\nDrive of world pass property able.\\nGarden board Mr. Yard recognize serve particular interest themselves.\\nFederal number speak ahead else least. Age my for. Would represent here head guess this.\\nRecent recently worker. Their brother model police simply movie. Reflect project believe every.\\nPerform maybe should technology also future my alone. Than detail finish these project media own line. Plan tend so simply whole group.\\nEdge student himself ten staff trade. Condition decide fund age its.\\nBed interest PM never recently message find. Three walk near mouth enter responsibility share. Risk meet quickly voice whether air enter. Study investment any paper however.\\nBlack say ten produce article. Final hundred tax. Reality it wide thing score officer.\\nLook because loss particularly benefit reason.\\nTelevision office choose home produce. Write manager shake safe catch state about. Very several long wall commercial. Especially according into whom.\\nFill voice note rise even. Theory computer agreement series over tend focus suffer. Enter cut son understand say challenge firm.\\nNow plan entire remain theory eye. Girl feel\"}]}]},\"files\":null,\"content\":null}", "output": "", "reasoning_output": "We need answer to user. User provided a bunch of seemingly random words sentences. Need infer what they want? There is no explicit question. We need respond likely maybe decode? Need analyze thoroughly.\n\nWe need produce final answer. Need understand prompt. It starts:\n\"4 18 m0 Value drug could my water friend often time. Know senior I people both only three fire.\nPolitical issue often kid edge exist good watch. Owner successful various within.\nBelieve third read commercial yes fire.\nArgue everyone recognize. Dog officer street great cover weight a. Federal blood spring surface.\nAddress meet carry. Decision", "tool_calls": null, "info": {"request_id": "5703a1d4-c722-4859-8762-feb5e5494867", "conversation_id": "6596b742-b630-4c2b-bf39-aee8f31a15cc", "history_len": 0, "turn_index": 0, "preceding_nodes": 0, "node_id": "main_0", "agent_id": "default", "parent_node_ids": [], "status": "completed", "scheduler_node_id": 1, "scheduler_process_id": 0, "scheduler_start_time": 1794247310.1622624, "timings": {"targeted_start": 1794247333.3374696, "predecessor_completed": null, "queued": 1794247322.528013, "dequeued": 1794247333.3380508, "scheduled_at": 1794247333.3380508, "resolve_start": 1794247333.3380864, "request_start": 1794247333.3388448, "first_request_iteration": 1794247333.3402402, "first_token_iteration": 1794247353.1803687, "first_output_token_iteration": null, "last_token_iteration": 1794247354.4201672, "last_request_iteration": 1794247354.421236, "request_iterations": 135, "token_iterations": 128, "last_request_sent": null, "request_sent_sum": 0.0, "request_sent_count": 0, "token_received_sum": 0.0, "token_received_count": 0, "request_end": 1794247354.421346, "resolve_end": 1794247354.421417, "finalized": 1794247354.4218526}, "settings": {"relative_timestamp": null, "requeue_delay": null, "trace_duration": null}, "error": null, "traceback": null, "started_at": 1794247333.3388448, "completed_at": 1794247354.421346}, "input_metrics": {"text_tokens": 564, "cached_tokens": 0, "text_words": 400, "text_characters": 2658, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 564}, "response_metrics": null, "output_metrics": {"text_tokens": 128, "cached_tokens": null, "text_words": 0, "text_characters": 0, "image_tokens": null, "image_count": null, "image_pixels": null, "image_bytes": null, "video_tokens": null, "video_frames": null, "video_seconds": null, "video_bytes": null, "audio_tokens": null, "audio_samples": null, "audio_seconds": null, "audio_bytes": null, "tool_call_tokens": null, "mixed_content_tool_tokens": null, "tool_call_count": null, "total_tokens": 128}, "request_start_time": 1794247333.3388448, "request_end_time": 1794247354.421346, "request_latency": 21.08250117301941, "request_dispatch_delay": 0.0013751983642578125, "turn_predecessor_delay": 0.0, "turn_scheduling_delay": 0.0013751983642578125, "request_scheduled_latency": 21.083876371383667, "prompt_tokens": 564, "cached_tokens": 0, "output_tokens": 128, "total_tokens": 692, "time_to_first_token_ms": 19841.52388572693, "time_to_last_round_trip_ms": null, "avg_round_trip_time_ms": null, "time_per_output_token_ms": 164.69783149659634, "inter_token_latency_ms": 9.762193274310254, "tokens_per_second": 32.82342992991721, "output_tokens_per_second": 6.071385882990467, "time_to_first_output_token_ms": null, "iter_tokens_per_iteration": 1.0, "output_tokens_per_iteration": 1.0}], "errored": [], "incomplete": [{"type_": "generative_request_stats", "request_id": "89cba452-e568-48ab-a8a8-5299a42af6fb", "response_id": "chatcmpl-826e33738539466880306690", "request_args": "{\"method\":null,\"stream\":true,\"headers\":null,\"params\":null,\"body\":{\"model\":\"qwen3.8-flash-next-coder-iq1_m\",\"stream\":true,\"stream_options\":{\"include_usage\":true,\"continuous_usage_stats\":true},\"max_completion_tokens\":128,\"ignore_eos\":true,\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"4 28 m0 Popular firm speech only it trade believe able. 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"time_to_first_output_token_ms": null, "iter_tokens_per_iteration": null, "output_tokens_per_iteration": null}], "total": null}, "warnings": [], "start_time": 1794247310.1650946, "end_time": 1794247355.1650946, "duration": 45.0, "warmup_duration": 0.0, "cooldown_duration": 0.0}], "conclusions": []} \ No newline at end of file diff --git a/dirigo-results/0.2.13-port/guidellm/summary.json b/dirigo-results/0.2.13-port/guidellm/summary.json new file mode 100644 index 00000000000..dd98c1c5d35 --- /dev/null +++ b/dirigo-results/0.2.13-port/guidellm/summary.json @@ -0,0 +1,70 @@ +{ + "dirigo": { + "1": { + "ttft": 738.8622760772705, + "tps": 62.57777777777778, + "itl": 8.368300640676903, + "rps": 0.48888888888888876, + "ok": 22, + "err": 22 + }, + "2": { + "ttft": 2621.6495037078857, + "tps": 62.577777777777776, + "itl": 9.08102576188215, + "rps": 0.4888888888888887, + "ok": 22, + "err": 22 + }, + "4": { + "ttft": 6687.614440917969, + "tps": 62.577777777777776, + "itl": 9.696245193481445, + "rps": 0.48888888888888876, + "ok": 22, + "err": 22 + }, + "8": { + "ttft": 9641.451120376587, + "tps": 65.42222222222223, + "itl": 8.966917128074826, + "rps": 0.5111111111111111, + "ok": 23, + "err": 23 + } + }, + "stock": { + "1": { + "ttft": 948.8160610198975, + "tps": 59.73333333333334, + "itl": 8.542813654021016, + "rps": 0.4666666666666665, + "ok": 21, + "err": 21 + }, + "2": { + "ttft": 3163.2723808288574, + "tps": 56.888888888888886, + "itl": 10.279505271611251, + "rps": 0.4444444444444443, + "ok": 20, + "err": 20 + }, + "4": { + "ttft": 7499.957799911499, + "tps": 54.04444444444445, + "itl": 10.460382371436893, + "rps": 0.4222222222222221, + "ok": 19, + "err": 19 + }, + "8": { + "ttft": 9658.47373008728, + "tps": 59.733333333333334, + "itl": 8.896317068986066, + "rps": 0.4666666666666665, + "ok": 21, + "err": 21 + } + } +} \ No newline at end of file diff --git a/dirigo-results/0.2.13-port/provenance.json b/dirigo-results/0.2.13-port/provenance.json new file mode 100644 index 00000000000..1c5ed8d5e96 --- /dev/null +++ b/dirigo-results/0.2.13-port/provenance.json @@ -0,0 +1,54 @@ +{ + "report": "dirigo 0.2.13 port vs stock 0.2.13, same battery", + "date": "2026-11-09", + "operator": "rwkeyes (Dirigo Agents LLC)", + "hardware": { + "gpu": "Intel Arc Pro B70 32 GB (Battlemage G31, PCI 8086:e223), AOT target bmg-g31", + "display_gpu": "AMD Raphael iGPU (1002:164e) drives the desktop; the Arc is compute-only", + "cpu": "AMD Ryzen 7 7700X (8 cores)", + "kernel": "7.0.0-42-generic", + "toolkit": "Intel oneAPI compiler 2026.2", + "model": "qwen3.8-flash-next-coder-iq1_m (Qwen3.8 coder, IQ1_M + mine expert pack)" + }, + "releases": { + "tag": "v0.2.13", + "tag_commit": "fb57f7472c2a", + "engine_version": "0.1.59", + "ggml_pin": "3cf0325", + "dirigo_tree": { + "branch": "release/0.2.13", + "head": "3512b4cce511", + "commits_over_tag": 2, + "diff_vs_tag": "38 files, +5062/-264", + "engine_bytes": 99889376, + "engine_sha256_16": "a44a41938f2aeda0" + }, + "stock_tree": { + "branch": "stock/0.2.13", + "head": "v0.2.13 as tagged", + "engine_bytes": 99897992, + "engine_sha256_16": "7b5439980466a569" + } + }, + "what_was_measured": { + "unit_suites": "python -m unittest discover -s serve -p 'test_*.py' in each tree", + "behaviour_probes": "minefield (5 traps), 24-token short-answer extraction, needle at 7,855 tokens, 165,779-token over-window request, lever endpoints", + "battery": "bench_prefill (fresh 4.2k/8.8k + follow-ups, warmup) and longprobe (code, 30k prompt, 7.9k needle, over-window), two interleaved passes each, order dirigo stock stock dirigo", + "guidellm": "GuideLLM 0.8.1, synthetic_text 512 in / 128 out, concurrent profile streams 1,2,4,8, 45 s per point, one load round trip: dirigo then stock in the same session", + "determinism": "same greedy prompt repeated 10x (3 prompts) plus a 4.2k prompt 6x, both engines, counting distinct answers" + }, + "fairness_notes": [ + "Both trees built with the same script, same flags, same pinned ggml, same AOT target; the two engine binaries differ by 8,616 bytes.", + "Both trees ran the same server config file contents; the stock server ignores the fork's lever keys (conv_route, thinking_policy, spec_window, code_tune) and 404s /v1/tuning and /v1/tune.", + "Each engine had the card to itself (the production service on :8095 was stopped for the duration and restored afterwards); every window verified 12,288 of 12,288 slots pre-filled with 0 experts over PCIe.", + "GuideLLM arms ran back to back in one session; position drift measured in the companion 0.2.12-vs-0.2.13 run is 2-4%, smaller than the differences reported here.", + "Speed numbers are one card, one model, one workload shape (512/128 concurrent and a 4-leg prefill/decode battery); they are not a claim about other hardware." + ], + "artifacts": { + "suites/": "full unittest logs, both trees", + "battery/": "8 probe JSONs, 4 windows x (bench_prefill + longprobe)", + "guidellm/": "raw GuideLLM result JSONs and summary.json", + "determinism/": "distinct-answer counts per prompt, both engines", + "scripts/": "the harnesses that produced all of the above" + } +} diff --git a/dirigo-results/0.2.13-port/scripts/make-chart.py b/dirigo-results/0.2.13-port/scripts/make-chart.py new file mode 100644 index 00000000000..aa3b05dc523 --- /dev/null +++ b/dirigo-results/0.2.13-port/scripts/make-chart.py @@ -0,0 +1,178 @@ +#!/usr/bin/env python3 +"""Render the 0.2.13 fork-vs-stock comparison from the committed JSON artifacts. + +Reads (BENCH env var or the parent folder): + guidellm/guidellm-0213ab-d0213.json fork arm + guidellm/guidellm-0213ab-s0213.json stock arm + battery/*.json engine-level battery (2 passes per arm) + +Writes chart.svg next to itself. Every number is recomputed from those files. +""" +import glob +import json +import os +import statistics as st + +HERE = os.path.dirname(os.path.abspath(__file__)) +BENCH = os.environ.get("BENCH", os.path.dirname(HERE)) + + +def guidellm(): + out = {} + for arm in ("d0213", "s0213"): + j = json.load(open(f"{BENCH}/guidellm/guidellm-0213ab-{arm}.json")) + cfg = j["config"]["benchmarks"] + rows = [] + for i, bm in enumerate(j["benchmarks"]): + m, ss = bm["metrics"], bm["scheduler_state"] + dur = bm["duration"] + out_tokens = m["output_token_count"]["successful"]["total_sum"] + rows.append(dict( + streams=cfg[i]["profile.streams"], + ttft=m["time_to_first_token_ms"]["successful"]["median"], + tok_s_win=out_tokens / dur, + n_ok=ss["successful_requests"], + n_cancel=ss["cancelled_requests"], + n_err=ss["errored_requests"], + out_tokens=out_tokens, + dur=dur, + )) + out[arm] = rows + return out + + +def battery(): + data = {} + for f in sorted(glob.glob(f"{BENCH}/battery/*.json")): + arm = os.path.basename(f).split("-")[1][0] + for t in json.load(open(f)): + k = t.get("kind") or t.get("leg") + m = t.get("metrics") or {} + if not k or "prefill_tps" not in m: + continue + key = (arm, k, round(m.get("prompt_tokens") or 0)) + data.setdefault(key, []).append((m["prefill_tps"], m["decode_tps"])) + legs = {} + for (arm, k, p), v in data.items(): + legs.setdefault((k, p), {})[arm] = ( + st.median([x[0] for x in v]), st.median([x[1] for x in v]), len(v)) + out = [] + for (k, p), d in sorted(legs.items(), key=lambda kv: (kv[0][1], kv[0][0])): + if "d" in d and "s" in d: + out.append(dict(leg=k, prompt=p, + pre=100 * (d["d"][0] / d["s"][0] - 1), + dec=100 * (d["d"][1] / d["s"][1] - 1), n=d["d"][2])) + return out + + +def esc(x): + return x.replace("&", "&").replace("<", "<").replace(">", ">") + + +INK, MUTED, GRID = "#1f2430", "#6b7280", "#e5e7eb" +FORK, STOCK, BLUE = "#0a8f6c", "#9aa4b2", "#2563eb" +FONT = "font-family='ui-sans-serif, -apple-system, Segoe UI, Roboto, Helvetica, Arial, sans-serif'" + + +def main(): + g = guidellm() + b = battery() + D, S = g["d0213"], g["s0213"] + W, H = 1180, 1000 + s = [] + a = s.append + a(f"") + a(f"") + a(f"") + a("Dirigo 0.2.13 vs stock 0.2.13 — same card, same requests") + a(f"Intel Arc Pro B70 32 GB · engine 0.1.59 on both sides · Qwen3.8-Flash-Next Coder IQ1_M · GuideLLM 0.8.1, 512 in / 128 out, 45 s per point") + + px, pw = 66, 610 + ptop, pbot = 176, 500 + a(f"Time to first token — lower is better") + a(f"median per request, ms") + maxv = 10000 + + def yof(v): + return pbot - (v / maxv) * (pbot - ptop) + + for tick in range(0, maxv + 1, 2000): + yy = yof(tick) + a(f"") + a(f"{tick//1000} s") + a(f"") + + n = len(D) + gw = pw / n + bw = 54 + for i, (dr, sr) in enumerate(zip(D, S)): + cx = px + gw * (i + 0.5) + for off, val, col in ((-bw - 3, dr["ttft"], FORK), (3, sr["ttft"], STOCK)): + xx, yy = cx + off, yof(val) + a(f"") + a(f"{val:.0f} ms") + dl = 100 * (dr["ttft"] / sr["ttft"] - 1) + a(f"{dl:+.1f} %") + a(f"{dr['streams']} stream{'s' if dr['streams']>1 else ''}") + ly = pbot + 84 + a(f"Dirigo port (this fork)") + a(f"stock Strata v0.2.13") + + ex = 726 + a(f"The engine itself: parity") + a(f"direct-to-engine battery, median of 2 interleaved passes") + gx0, gx1 = ex + 74, ex + 300 + mid, half = (gx0 + gx1) / 2, (gx1 - gx0) / 2 + band = 1.5 + rows_top = ptop + 16 + rows_h = 26 + a(f"") + a(f"") + axis_y = rows_top + rows_h * len(b) + 22 + a(f"-{band} %") + a(f"0") + a(f"+{band} %") + for j, leg in enumerate(b): + yy = rows_top + 8 + j * rows_h + size = f"{leg['prompt']//1000}k" if leg["prompt"] >= 1000 else str(leg["prompt"]) + a(f"{esc(leg['leg'])} {size}") + for val, col in ((leg["pre"], FORK), (leg["dec"], BLUE)): + xx = mid + val / band * half + xx = max(gx0 - 4, min(gx1 + 4, xx)) + a(f"") + worst = max(max(abs(x["pre"]), abs(x["dec"])) for x in b) + ly2 = axis_y + 28 + a(f"prefill") + a(f"decode") + a(f"Largest difference on any leg: {worst:.1f} %") + a(f"inside the run-to-run spread: engine speed is the same") + + ty = 706 + a(f"Work finished inside each fixed 45 s window") + a(f"(128 output tokens per finished request; one request ≈ 4.8 % of a window)") + for i, (dr, sr) in enumerate(zip(D, S)): + yy = ty + 26 + i * 34 + cap = max(dr["n_ok"], sr["n_ok"], 1) + wmax = 150 + a(f"{dr['streams']} stream{'s' if dr['streams']>1 else ''}") + for off, r, col in ((0, dr, FORK), (15, sr, STOCK)): + w = wmax * r["n_ok"] / cap + a(f"") + a(f"{r['n_ok']} requests · {r['tok_s_win']:.1f} tok/s") + + fy = H - 52 + a(f"") + a(f"Source: dirigo-results/0.2.13-port/guidellm/guidellm-0213ab-d0213.json and -s0213.json, medians of the per-request samples; battery/*.json. Recompute with scripts/make-chart.py.") + a(f"One pass per arm in one session; the companion 0.2.12→0.2.13 run put positional drift at 2–4 %. GuideLLM sends unique prompts, so the fork's cache-off path applies — a conversation switches the cache back on.") + a("") + out = os.path.join(BENCH, "chart.svg") + open(out, "w").write("\n".join(s)) + print("wrote", out) + print("ttft deltas:", [f"{100*(d['ttft']/x['ttft']-1):+.1f}%" for d, x in zip(D, S)]) + print("windows:", [(r["n_ok"], round(r["tok_s_win"], 1)) for r in D], [(r["n_ok"], round(r["tok_s_win"], 1)) for r in S]) + print("cancelled:", [r["n_cancel"] for r in D], [r["n_cancel"] for r in S], "errors:", [r["n_err"] for r in D], [r["n_err"] for r in S]) + print("parity worst:", round(worst, 2), "%") + + +if __name__ == "__main__": + main() diff --git a/dirigo-results/0.2.13-port/scripts/strata-0213-ab.sh b/dirigo-results/0.2.13-port/scripts/strata-0213-ab.sh new file mode 100644 index 00000000000..48a658fc2a1 --- /dev/null +++ b/dirigo-results/0.2.13-port/scripts/strata-0213-ab.sh @@ -0,0 +1,39 @@ +#!/usr/bin/env bash +# strata-0213-ab.sh - our 0.2.13 port vs stock 0.2.13, the same battery used for 0.2.11/0.2.12: +# bench_prefill (fresh 4.2k / 8.8k and their follow-ups) + longprobe (code, 30k prompt, 7.9k needle, over-window), +# one engine per window, four windows in the order d s s d so drift lands on both arms. +# UNDO: rm this file and ~/strata-0213-ab +set -uo pipefail +S= +OUT=$HOME/strata-0213-ab +BENCH=/forktest/engines/strata/tools/hip/bench_prefill.py +LONG=/bin/strata-longprobe.py +MODEL=qwen3.8-flash-next-coder-iq1_m +mkdir -p "$OUT" + +arm() { # tag tree conf pass + local tag=$1 tree=$2 conf=$3 pass=$4 + local label="$tag-p$pass" + echo "[$(date +%H:%M:%S)] ===== $label ($tree)" + ~/bin/strata-card-window.sh "$tree" 8097 --conf "$conf" -- bash -c " + EL=\$(python3 -c \"import json;print(json.load(open('$conf'))['log'])\") + curl -s -m 5 http://127.0.0.1:\$PORT/v1/status | python3 -c 'import json,sys;d=json.load(sys.stdin);print(\" engine:\",d[\"engine\"])' + /usr/bin/python3 $BENCH --url http://127.0.0.1:\$PORT --model $MODEL --engine-log \"\$EL\" \ + --output $OUT/bench-$label.json --label $label >/dev/null 2>&1 + /usr/bin/python3 $LONG --url http://127.0.0.1:\$PORT --model $MODEL --engine-log \"\$EL\" \ + --label $label --out $OUT/longprobe-$label.json >/dev/null 2>&1 + echo ' probes written:' \$(ls -1 $OUT/*-$label.json | wc -l) + " 2>&1 | grep -E '=====|engine:|probes written|restore|over PCIe|pre-filled' +} + +for pass in 1 2; do + if [ "$pass" = "1" ]; then order="d s"; else order="s d"; fi + for a in $order; do + if [ "$a" = "d" ]; then + arm d0213 "$S/strata-0.2.13" "$S/strata-0.2.13/strata-coder-iq1_m-sycl-tuned.json" "$pass" + else + arm s0213 "$S/strata-0.2.13-stock" "$S/strata-0.2.13-stock/strata-coder-iq1_m-sycl-tuned.json" "$pass" + fi + done +done +echo "[$(date +%H:%M:%S)] battery done" diff --git a/dirigo-results/0.2.13-port/scripts/strata-determinism-probe.py b/dirigo-results/0.2.13-port/scripts/strata-determinism-probe.py new file mode 100644 index 00000000000..f374ee561c6 --- /dev/null +++ b/dirigo-results/0.2.13-port/scripts/strata-determinism-probe.py @@ -0,0 +1,71 @@ +#!/usr/bin/env python3 +"""determinism-probe: does the same greedy prompt give the same answer, run after run? + +0.2.13's notes claim Intel Arc now returns identical answers (their bf16 prompt products moved off oneMKL onto a +fixed-order kernel; "50 of 50 identical on an A750, against 3-5 different in 5 runs before"). This measures that +on THIS card: N identical requests, temperature 0, fixed seed, thinking off so the answer is short and comparable, +and it counts distinct answers per prompt. + + determinism-probe.py --url http://127.0.0.1:8097 --label 0213 --runs 10 --out ~/det-0213.json +""" +import argparse, hashlib, json, time, urllib.request + +PROMPTS = { + "code": "Write a Python function word_freq(text) returning a dict of word counts, lower-cased, punctuation " + "stripped. Return only the code.", + "prose": "Explain in about 80 words why a B-tree keeps its height logarithmic under random insertions.", + "extract": "Invoice 8841 dated 2 March 2024, total 5,120.75 EUR. Reply with only the ISO date (YYYY-MM-DD).", +} + +# the bf16 products 0.2.13 moved to a fixed-order kernel are in the PROMPT path: a long prompt is where a per-launch +# difference in oneMKL's result would change the answer. Added 2026-11-09 after the short prompts came back 1/10 +# distinct on BOTH engines. +def long_prompt(): + code = "\n".join(f"export function rule{i}(x) {{ return x === {i} ? x + {i+1} : x - {i}; }}" for i in range(140)) + return ("Review this source and name the exact value rule77 returns for x=77, then for x=78. " + "Answer with the two numbers only.\n" + code) + + +PROMPTS["long"] = None # filled in main() + +def ask(url, model, prompt, cap): + body = {"model": model, "messages": [{"role": "user", "content": prompt}], + "max_tokens": cap, "temperature": 0, "top_p": 1, "top_k": 1, "min_p": 0, "seed": 1234, + "chat_template_kwargs": {"enable_thinking": False}} + req = urllib.request.Request(url.rstrip("/") + "/v1/chat/completions", + data=json.dumps(body).encode(), headers={"content-type": "application/json"}) + t = time.monotonic() + with urllib.request.urlopen(req, timeout=600) as r: + d = json.load(r) + c = d["choices"][0] + text = c["message"].get("content") or "" + return {"text": text, "sha": hashlib.sha256(text.encode()).hexdigest()[:12], + "chars": len(text), "wall": round(time.monotonic() - t, 2), + "finish": c["finish_reason"], "tokens": (d.get("usage") or {}).get("completion_tokens")} + +def main(): + p = argparse.ArgumentParser() + p.add_argument("--url", default="http://127.0.0.1:8097") + p.add_argument("--model", default="qwen3.8-flash-next-coder-iq1_m") + p.add_argument("--label", required=True) + p.add_argument("--runs", type=int, default=10) + p.add_argument("--cap", type=int, default=220) + p.add_argument("--only", default="", help="comma-separated prompt names") + p.add_argument("--out", required=True) + a = p.parse_args() + out = {"label": a.label, "runs": a.runs, "prompts": {}} + PROMPTS["long"] = long_prompt() + for name, prompt in PROMPTS.items(): + if a.only and name not in a.only.split(","): + continue + rows = [ask(a.url, a.model, prompt, a.cap) for _ in range(a.runs)] + shas = [r["sha"] for r in rows] + uniq = sorted(set(shas)) + out["prompts"][name] = {"distinct": len(uniq), "shas": {s: shas.count(s) for s in uniq}, + "chars": [r["chars"] for r in rows], + "walls": [r["wall"] for r in rows], "answers": rows[:3]} + print(f" {a.label} {name:<8} distinct answers: {len(uniq)}/{a.runs} sizes {sorted(set(r['chars'] for r in rows))}") + json.dump(out, open(a.out, "w"), indent=1) + +if __name__ == "__main__": + main() diff --git a/dirigo-results/0.2.13-port/scripts/strata-guidellm-0213-ab.sh b/dirigo-results/0.2.13-port/scripts/strata-guidellm-0213-ab.sh new file mode 100644 index 00000000000..495ba58a5fd --- /dev/null +++ b/dirigo-results/0.2.13-port/scripts/strata-guidellm-0213-ab.sh @@ -0,0 +1,69 @@ +#!/usr/bin/env bash +# GuideLLM A/B: stock Strata v0.2.11 vs our tuned deployment, same card, same tool, same workload. +# Arms run stock then ours on :8097 (production stopped), each measured with GuideLLM's concurrency sweep and the +# llama-bench-equivalent pp/tg shapes, then production is restored by one trap. +set -uo pipefail +S= +P=$HOME/strata-perf +GL=$HOME/bench-venv/bin/guidellm +TOK='kind=huggingface_auto,model=/bench-tokenizer' +OUT=$HOME/strata-perf/results-0213-ab + +restore() { + local rc=$? + trap - EXIT INT TERM + pkill -f '[s]erve/server.py --engine strata' >/dev/null 2>&1 + for _ in $(seq 1 40); do pgrep -f '[b]uild-sycl-aot/strata' >/dev/null || break; sleep 1; done + sleep 6 + ~/bin/strata-b70-serve.sh start 2>&1 | grep -E 'engine:|experts:|over PCIe' | head -3 + exit "$rc" +} +trap restore EXIT INT TERM + +start_arm() { # label tree conf + local label=$1 tree=$2 conf=$3 + systemctl --user stop strata-b70.service 2>/dev/null + pkill -f '[s]erve/server.py --engine strata' >/dev/null 2>&1 + for _ in $(seq 1 40); do pgrep -f '[b]uild-sycl-aot/strata' >/dev/null || break; sleep 1; done + for _ in $(seq 1 30); do + gpu=$(awk '/^GPUActive/{print $2}' /proc/meminfo) + [ "${gpu:-99999999}" -lt 4200000 ] && break + sleep 2 + done + ( trap - EXIT INT TERM; cd "$tree" && ONEAPI_ROOT=/opt/intel/oneapi MKLROOT=/opt/intel/oneapi/mkl/latest \ + LD_LIBRARY_PATH=/opt/intel/oneapi/compiler/latest/lib:/opt/intel/oneapi/mkl/latest/lib:/opt/intel/oneapi/tbb/latest/lib:/opt/intel/oneapi/umf/latest/lib \ + ONEAPI_DEVICE_SELECTOR=level_zero:0 SYCL_CACHE_PERSISTENT=0 ZES_ENABLE_SYSMAN=1 STRATA_SYCL_TREE=$tree \ + .venv/bin/python serve/server.py --engine strata --config "$conf" --port 8097 > "$P/serve-ab-$label.log" 2>&1 & ) + for i in $(seq 1 90); do + curl -fsS -m 3 http://127.0.0.1:8097/v1/status 2>/dev/null | grep -q '"loaded": *true' && { echo " loaded after $((i*2)) s"; break; } + sleep 2 + done + curl -fsS -m 5 http://127.0.0.1:8097/v1/status >/dev/null 2>&1 || { echo " $label DID NOT LOAD"; return 1; } + curl -fsS -m 5 http://127.0.0.1:8097/v1/status | python3 -c 'import json,sys;print(" engine",json.load(sys.stdin)["engine"])' +} + +arm() { # label tree conf + local label=$1 tree=$2 conf=$3 + echo "[$(date +%H:%M:%S)] ===== $label" + start_arm "$label" "$tree" "$conf" || return 1 + local logf; logf=$(python3 -c "import json,sys;print(json.load(open(sys.argv[1]))['log'])" "$conf") + grep -hoE 'pre-filled [0-9]+ of [0-9]+ slots|[0-9]+ experts missing from VRAM' "$logf" 2>/dev/null | tail -2 + echo " -- pp/tg" + python3 "$HOME/bin/bench-pptg.py" --url http://127.0.0.1:8097 --label "$label" --repeats 2 \ + --out "$OUT/ab-pptg.jsonl" 2>&1 | grep -E 'pp|tg' | sed 's/^/ /' + echo " -- GuideLLM sweep" + ( cd ~ && env -u PYTHONPATH "$GL" run \ + --backend "kind=openai_http,target=http://127.0.0.1:8097/v1,model=qwen3.8-flash-next-coder-iq1_m" \ + --tokenizer "$TOK" --data 'kind=synthetic_text,prompt_tokens=512,output_tokens=128' \ + --profile 'kind=concurrent' --override 'profile.streams' 1,2,4,8 \ + --constraint 'kind=max_duration,seconds=45' \ + --output "kind=json,path=$OUT/guidellm-0213ab-$label.json" ) > "$OUT/guidellm-0213ab-$label.log" 2>&1 + grep -A6 'Request Latency' "$OUT/guidellm-0213ab-$label.log" | grep -E 'concurrent@' | sed 's/^/ /' + pkill -f '[s]erve/server.py --engine strata' >/dev/null 2>&1 + for _ in $(seq 1 40); do pgrep -f '[b]uild-sycl-aot/strata' >/dev/null || break; sleep 1; done + sleep 4 +} + +arm d0213 "/strata-0.2.13" "/strata-0.2.13/strata-coder-iq1_m-sycl-tuned.json" +arm s0213 "/strata-0.2.13-stock" "/strata-0.2.13-stock/strata-coder-iq1_m-sycl-tuned.json" +echo "[$(date +%H:%M:%S)] done" diff --git a/dirigo-results/0.2.13-port/suites/strata-0213-stock-suite.log b/dirigo-results/0.2.13-port/suites/strata-0213-stock-suite.log new file mode 100644 index 00000000000..6925a8febfb --- /dev/null +++ b/dirigo-results/0.2.13-port/suites/strata-0213-stock-suite.log @@ -0,0 +1,2432 @@ +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.............sss...[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +..............[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +.....[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] other apps now use the Chat settings: temperature=0.5 +.[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +.....[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] other apps now use the Chat settings: temperature=0.5 +[strata] other apps now use the Chat settings: temperature=0.5 +[strata] other apps now use the Chat settings: temperature=0.5 +..[strata] 400 invalid request: request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: request exceeds the context window: prompt (150722 tokens) + max tokens (16) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: request exceeds the context window: prompt (1024 tokens) + max tokens (131072) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 130040 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: request exceeds the context window: prompt (150722 tokens) + max tokens (16) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: request exceeds the context window: prompt (1024 tokens) + max tokens (131072) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 130040 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) + max tokens (16) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: input length and `max_tokens` exceed context limit: 1024 + 131072 > 131064; request exceeds the context window: prompt (1024 tokens) + max tokens (131072) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 130040 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) + max tokens (16) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: input length and `max_tokens` exceed context limit: 1024 + 131072 > 131064; request exceeds the context window: prompt (1024 tokens) + max tokens (131072) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 130040 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +.[strata] max_tokens 131072 shortened to 130040: the prompt (1024 tokens) leaves that much of the context (131072); "fit_max_tokens": false answers 400 instead +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 400 invalid request: request exceeds the context window: prompt (131064 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: request exceeds the context window: prompt (131064 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] max_tokens 131072 shortened to 130040: the prompt (1024 tokens) leaves that much of the context (131072); "fit_max_tokens": false answers 400 instead +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 400 invalid request: prompt is too long: 131064 tokens > 131063 maximum; request exceeds the context window: prompt (131064 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: prompt is too long: 131064 tokens > 131063 maximum; request exceeds the context window: prompt (131064 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] max_tokens 131072 shortened to 130040: the prompt (1024 tokens) leaves that much of the context (131072); "fit_max_tokens": false answers 400 instead +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: request exceeds the context window: prompt (131064 tokens) + max tokens (1) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: request exceeds the context window: prompt (131064 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: prompt is too long: 131064 tokens > 131063 maximum; request exceeds the context window: prompt (131064 tokens) + max tokens (1) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: prompt is too long: 131064 tokens > 131063 maximum; request exceeds the context window: prompt (131064 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] max_tokens 130041 shortened to 130040: the prompt (1024 tokens) leaves that much of the context (131072); "fit_max_tokens": false answers 400 instead +.[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) + max tokens (16) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: input length and `max_tokens` exceed context limit: 1024 + 131072 > 131064; request exceeds the context window: prompt (1024 tokens) + max tokens (131072) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 130040 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) + max tokens (16) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: input length and `max_tokens` exceed context limit: 1024 + 131072 > 131064; request exceeds the context window: prompt (1024 tokens) + max tokens (131072) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 130040 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: request exceeds the context window: prompt (150722 tokens) + max tokens (16) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +...sssss........[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] Drafting: off (the cards were short of memory): starting again without a drafter (layer split, CUDA1 expert cache: no room) +[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] Drafting: MTP (DFlash2 didn't start): starting again with the MTP +[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] Drafting: MTP (DFlash2 didn't start): starting again with the MTP +[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.......[strata] "parallel" must be a whole number of requests (2..8), not '4': ignored +..[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +..[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 1 s (10000.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (10000.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (10000.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +/usr/lib/python3.12/tempfile.py:1075: ResourceWarning: Implicitly cleaning up /.hermes/cache/scratch/tmpobwwou_s'> + _warnings.warn(warn_message, ResourceWarning) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel requests: 1 asked, the engine runs one at a time (its log says why) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +................[strata] thinking capped at 4 of max_tokens 8 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 4 of max_tokens 8 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] 400 invalid request: this server was started without pictures for DeepSeek (--vision off, or a pack made without the picture reader): run strata launch again without --vision off to read images +.[strata] thinking capped at 4 of max_tokens 8 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 4 of max_tokens 8 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 28 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] done: 22 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 4 of max_tokens 8 to leave room for the answer (budget 32768) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] thinking capped at 150 of max_tokens 300 to leave room for the answer (budget 1000) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 195 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] 400 invalid request: unknown reasoning effort 'extreme': use none, low, medium or high, max or 1..100 +.[strata] done: 81 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 27 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 199 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 150 of max_tokens 300 to leave room for the answer (budget 32768) +[strata] done: 126 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +..[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 29 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 218 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.......................[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 94 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 100 of max_tokens 200 to leave room for the answer (budget 32768) +[strata] done: 116 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 116 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 300 of max_tokens 600 to leave room for the answer (budget 32768) +[strata] done: 116 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 100 of max_tokens 200 to leave room for the answer (budget 32768) +[strata] thinking budget reached (100 tokens): wrapping up the thinking +[strata] done: 174 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 100 of max_tokens 200 to leave room for the answer (budget 32768) +[strata] thinking budget reached (100 tokens): wrapping up the thinking +[strata] done: 174 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] thinking budget reached (200 tokens): wrapping up the thinking +[strata] done: 274 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] thinking budget reached (200 tokens): wrapping up the thinking +[strata] done: 274 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 300 of max_tokens 600 to leave room for the answer (budget 32768) +[strata] thinking budget reached (300 tokens): wrapping up the thinking +[strata] done: 374 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 300 of max_tokens 600 to leave room for the answer (budget 32768) +[strata] thinking budget reached (300 tokens): wrapping up the thinking +[strata] done: 374 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] done: 300 tokens in 0 s (100.0 tok/s) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] thinking capped at 3750 of max_tokens 5000 to leave room for the answer (budget 32768) +[strata] thinking budget reached (3750 tokens): wrapping up the thinking +[strata] done: 3824 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 300 tokens in 0 s (100.0 tok/s) (length, cancel=False) +..[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.......s......[strata] 400 invalid request: unknown reasoning effort 'huge': use none, low, medium or high +.[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 25 of max_tokens 50 to leave room for the answer (budget 500) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 25 of max_tokens 50 to leave room for the answer (budget 2047) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 25 of max_tokens 50 to leave room for the answer (budget 2048) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 25 of max_tokens 50 to leave room for the answer (budget 8191) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 25 of max_tokens 50 to leave room for the answer (budget 8192) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 25 of max_tokens 50 to leave room for the answer (budget 31999) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6114 of max_tokens 8152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6114 of max_tokens 8152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6114 of max_tokens 8152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6114 of max_tokens 8152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6114 of max_tokens 8152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6114 of max_tokens 8152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 3072 of max_tokens 4096 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 3072 of max_tokens 4096 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 5964 of max_tokens 7951 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6073 of max_tokens 8097 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 25 of max_tokens 50 to leave room for the answer (budget 20000) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6114 of max_tokens 8152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 5266 of max_tokens 7021 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5213 of max_tokens 6950 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +........................[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (2 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +...[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +..[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +.[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (2 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (3 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (3 of 3 allowed in 10 minutes) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped unexpectedly (exit code -15). Unrecoverable native verification failure: verify: timed out at layer 18; its GPU waits were released and the GPU finished (#267) The next request starts the engine again. +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +[strata] the engine had stopped (exit code -15); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped unexpectedly (exit code -15). Unrecoverable native verification failure: verify: timed out at layer 18; its GPU waits were released and the GPU finished (#267) The next request starts the engine again. +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +[strata] the engine had stopped (exit code -15); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +...........................[strata] layer split: card order 0,1 (the faster card last; "gpu_order": "as_given" keeps 1,0, #1352) +..........................[strata] image: 512x768, n=2, 8 steps, seed 11 +[strata] image done in 0.2 s (keep) +.[strata] 400 invalid request: size 999x999: each side a multiple of 32 from 256 to 2048 +[strata] image: 1024x1024, n=1, 8 steps, seed 1970157165 +/strata-0.2.13-stock/serve/lifeline.py:59: ResourceWarning: unclosed file <_io.TextIOWrapper name=14 encoding='utf-8'> + fn, future = self._jobs.get() +ResourceWarning: Enable tracemalloc to get the object allocation traceback +[strata] image job failed: sd-cli exited with code 1 +[INFO ] loading tensors completed, taking 0.10s +[ERROR] ggml_vulkan: ErrorDeviceLost +.[strata] image: 1024x1024, n=1, 8 steps, seed 111626762 +[strata] image done in 1.6 s (keep)[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) + +...[strata] image: 1024x1024, n=1, 8 steps, seed 5 +[strata] image done in 0.2 s (keep) +.[strata] image: 1024x1024, n=1, 8 steps, seed 0 +[strata] image done in 0.2 s (keep) +[strata] image: 1024x1024, n=1, 8 steps, seed 1 +[strata] image done in 0.2 s (keep) +[strata] image: 1024x1024, n=1, 8 steps, seed 2 +[strata] image done in 0.2 s (keep) +[strata] image: 1024x1024, n=1, 8 steps, seed 3 +[strata] image done in 0.2 s (keep) +.[strata] image job: the conversation (123 tokens) saved; unloading the model +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] the conversation from before the image job is back (123 tokens) +...[strata] image job: the engine's expert cache gave VRAM back (9000 MiB free) +.[strata] image job: the conversation (123 tokens) saved; unloading the model +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] the conversation from before the image job is back (123 tokens) +.........[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (disconnect, cancel=False) +......[strata] loading the model again (it was unloaded) ... +.[strata] model unloaded; the next request loads it again +.....[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] model unloaded; the next request loads it again +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +.../usr/lib/python3.12/unittest/case.py:669: ResourceWarning: unclosed file <_io.TextIOWrapper name=9 encoding='utf-8'> + function, args, kwargs = self._cleanups.pop() +ResourceWarning: Enable tracemalloc to get the object allocation traceback +........[strata] 400 invalid request: logit_bias: expected an object or a list of [token_id, bias] pairs +[strata] 400 invalid request: logit_bias: this engine does not support token biases; use a supporting CUDA/HIP build +[strata] 400 invalid request: logit_bias: biases must be finite numbers between -100 and 100; false is a pair-list ban +..........[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] response_format json_schema: the Python package jsonschema is not installed, so answers are only checked to be one JSON object (python -m pip install "jsonschema>=4.23,<5") +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] 400 invalid request: allowed_token_ids: 300 is outside the vocabulary (0..299) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] 400 invalid request: logprobs is available with "parallel" (batch slots) only for max_tokens 1; run the server without "--parallel" for longer replies +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +................[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] 400 invalid request: logprobs is available with "parallel" (batch slots) only for max_tokens 1; run the server without "--parallel" for longer replies +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] MCP server 'missing' did not start: could not start 'strata-no-such-program': [Errno 2] No such file or directory: 'strata-no-such-program'. Its tools are left out; the chat works without them. +[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'paged': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +...[strata] MCP server 'solo': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'solo' had stopped; starting it again +[strata] MCP server 'solo': 6 tools (echo, fail, sleep, big, die, add) +........[strata] MCP server 'down' did not start: could not reach http://127.0.0.1:9/mcp: . Its tools are left out; the chat works without them. +[strata] MCP server 'web': 6 tools (echo, fail, sleep, big, die, add) +..[strata] thinking limited to 5955 of max_tokens 7939 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 83 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +.[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 127 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 12 characters in 0.0 s +[strata] thinking limited to 4509 of max_tokens 6012 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 128 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 13 characters in 0.0 s +[strata] thinking limited to 5443 of max_tokens 7257 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 35 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 246 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 5479 of max_tokens 7305 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 30 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 5 characters in 0.0 s +[strata] thinking limited to 5606 of max_tokens 7474 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 127 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: fake__echo; the response carries them as strata_rejected_tool_calls, /metrics counts them +.[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] thinking limited to 4614 of max_tokens 6152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 141 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__add: ok, 1 characters in 0.0 s +[strata] thinking limited to 5548 of max_tokens 7397 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 27 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4620 of max_tokens 6160 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 84 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__fail: error, 27 characters in 0.0 s +[strata] thinking limited to 5616 of max_tokens 7488 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 52 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 141 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__add: ok, 1 characters in 0.0 s +[strata] thinking limited to 4507 of max_tokens 6009 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] refused an API request from the web page 'http://evil.example' (no API key; add its host to "allowed_hosts" or its origin to "cors_origins" in the config) +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped (exit code 2): cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4590 of max_tokens 6119 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 109 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 5949 of max_tokens 7932 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: fake__echo; the response carries them as strata_rejected_tool_calls, /metrics counts them +[strata] thinking limited to 5949 of max_tokens 7932 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 16 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5949 of max_tokens 7932 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 16 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 4515 of max_tokens 6020 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 4371 of max_tokens 5827 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 4226 of max_tokens 5634 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 4081 of max_tokens 5441 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 3936 of max_tokens 5248 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 3792 of max_tokens 5055 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 3647 of max_tokens 4862 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 3502 of max_tokens 4669 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 3357 of max_tokens 4476 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 3213 of max_tokens 4283 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 124 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 9 characters in 0.0 s +[strata] thinking limited to 3066 of max_tokens 4088 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 124 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 9 characters in 0.0 s +[strata] thinking limited to 2920 of max_tokens 3893 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 124 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 9 characters in 0.0 s +[strata] thinking limited to 2774 of max_tokens 3698 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 124 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 9 characters in 0.0 s +[strata] thinking limited to 2628 of max_tokens 3503 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 124 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 9 characters in 0.0 s +[strata] thinking limited to 2481 of max_tokens 3308 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 124 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 9 characters in 0.0 s +[strata] thinking limited to 3420 of max_tokens 4560 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 40 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped (exit code 2): cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4665 of max_tokens 6220 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 134 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 19 characters in 0.0 s +[strata] thinking limited to 4499 of max_tokens 5998 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 84 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__fail: error, 27 characters in 0.0 s +[strata] thinking limited to 4530 of max_tokens 6040 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 21 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 115 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__big: ok, 3,000 characters in 0.0 s (truncated for the model) +[strata] thinking limited to 4090 of max_tokens 5453 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 16 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] MCP image cache unavailable: disk full +............[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 5 characters in 0.0 s +[strata] thinking limited to 4520 of max_tokens 6026 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 16 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 122 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 15 characters in 0.0 s +[strata] thinking limited to 4511 of max_tokens 6014 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 26 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] 400 invalid request: invalid tool image reference +[strata] 400 invalid request: invalid tool image reference +[strata] 400 invalid request: invalid tool image reference +[strata] 400 invalid request: invalid tool image reference +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 5757 of max_tokens 7676 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5757 of max_tokens 7676 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5757 of max_tokens 7676 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5757 of max_tokens 7676 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +..[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +....[strata] 400 invalid request: request exceeds the context window: prompt (183 tokens) + max tokens (20000) exceeds the context (16384); requests are never truncated. Send a smaller max_tokens (at most 16193 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] done: 0 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 0 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] thinking capped at 128 of max_tokens 256 to leave room for the answer (budget 1024) +[strata] done: 0 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] thinking capped at 128 of max_tokens 256 to leave room for the answer (budget 1024) +[strata] done: 0 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] thinking limited to 12098 of max_tokens 16130 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 50 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 50 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 50 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 128 of max_tokens 256 to leave room for the answer (budget 1024) +[strata] done: 50 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 128 of max_tokens 256 to leave room for the answer (budget 1024) +[strata] done: 50 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] done: 50 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 50 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 2879 of max_tokens 3838 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +.........[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 1 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 4 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (476.2 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (476.2 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 8 tokens in 0 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 0 s (381.0 tok/s) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (476.2 tok/s) (stop, cancel=False) +[strata] answering: 48 of max 200 tokens, 48.8 tok/s, 1 s +[strata] done: 55 tokens in 1 s (62.4 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (500.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (500.0 tok/s) (stop, cancel=False) +...........[strata] "parallel" must be a whole number of requests (2..8), not '4': ignored +[strata] "parallel" must be a whole number of requests (2..8), not True: ignored +[strata] "parallel": 12 - the engine runs at most 8 requests together; it will use 8 +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 8 tokens in 0 s (195.1 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 0 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 0 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 0 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 1 s so far +[strata] answering: 8 of max 8 tokens, 32.0 tok/s, 1 s +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 1 s so far +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 45 tokens, 1 s so far +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 1 s so far +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 1 s so far +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 1 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 45 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 45 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 45 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 45 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 45 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 45 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 45 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 6 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 6 s so far +[strata] done: 8 tokens in 6 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 6 s so far +[strata] done: 8 tokens in 6 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 6 s so far +[strata] done: 8 tokens in 6 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 6 s so far +[strata] done: 8 tokens in 6 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 6 s so far +[strata] done: 8 tokens in 6 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 6 s (381.0 tok/s) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel requests: 4 asked, the engine runs 2 (its log says why) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (50.0 tok/s) (disconnect, cancel=True) +[strata] thinking: 30 of max 512 tokens, 49.8 tok/s, 1 s[strata] thinking: 34 of max 512 tokens, 38.4 tok/s, 1 s + +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 55 tokens in 1 s (42.1 tok/s) (stop, cancel=False) +[strata] done: 55 tokens in 2 s (49.8 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 0 tokens in 1 s (no speed) (disconnect, cancel=True) +[strata] thinking: 21 of max 512 tokens, 23.6 tok/s, 1 s +[strata] done: 55 tokens in 2 s (35.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (1/6) (issue #1994) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] answering: 47 of max 64 tokens, 46.8 tok/s, 1 s +[strata] done: 55 tokens in 1 s (47.2 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (1/6) (issue #1994) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (2/6) (issue #1994) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (3/6) (issue #1994) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (4/6) (issue #1994) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (5/6) (issue #1994) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (6/6) (issue #1994) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (7/6) (issue #1994) +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +[strata] answering: 46 of max 64 tokens, 46.2 tok/s, 1 s +[strata] done: 55 tokens in 1 s (46.7 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] answering: 46 of max 64 tokens, 45.8 tok/s, 1 s +[strata] done: 55 tokens in 1 s (46.4 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] answering: 48 of max 64 tokens, 47.8 tok/s, 1 s +[strata] answering: 47 of max 64 tokens, 49.8 tok/s, 1 s +[strata] done: 55 tokens in 1 s (48.0 tok/s) (stop, cancel=False) +[strata] done: 55 tokens in 1 s (49.7 tok/s) (stop, cancel=False) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel requests: 4 asked, the engine runs 2 (its log says why) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel requests: 4 asked, the engine runs one at a time (its log says why) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] answering: 48 of max 64 tokens, 47.8 tok/s, 1 s +[strata] answering: 47 of max 64 tokens, 49.8 tok/s, 1 s +[strata] done: 55 tokens in 1 s (48.0 tok/s) (stop, cancel=False) +[strata] done: 55 tokens in 1 s (49.7 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel requests: 1 asked, the engine runs one at a time (its log says why) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 9 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +......#2518 retained prefix over 12 branching follow-ups: before 96000 tokens, after 115200 tokens +...[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking: 36 of max 200 tokens, 38.4 tok/s, 1 s +[strata] done: 55 tokens in 1 s (63.9 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped unexpectedly (exit code 1). The engine exited (code 1) after it reported: verify batch: layer 34 never rang (graph finished) - please report it at github.com/Niko1221/Strata/issues with the log. The next request starts the engine again. +[strata] the engine stopped unexpectedly (exit code 1). The engine exited (code 1) after it reported: verify batch: layer 34 never rang (graph finished) - please report it at github.com/Niko1221/Strata/issues with the log. The next request starts the engine again. +[strata] done: 1 tokens in 0 s (no speed) (error, cancel=False) +[strata] done: 4 tokens in 0 s (no speed) (error, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel: slot(s) 0, 1 were marked busy with no request using them (issue #1603); freed, the waiting request goes on +[strata] reading the prompt: 32 of 52 tokens, 1 s so far +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (26.0 tok/s) (stop, cancel=False) +[strata] reading the prompt: 2,560 of 3,037 tokens, 1 s so far +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] loading the model again (it was unloaded) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] answering: 47 of max 200 tokens, 47.2 tok/s, 1 s +[strata] done: 55 tokens in 1 s (62.4 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (243.9 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (476.2 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (25.2 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (26.0 tok/s) (stop, cancel=False) +[strata] reading the prompt: 2,560 of 3,037 tokens, 1 s so far +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] reading the prompt: 2,560 of 3,037 tokens, 2 s so far[strata] answering: 5 of max 60 tokens, 2.9 tok/s, 2 s +[strata] answering: 2 of max 64 tokens, 2.4 tok/s, 2 s + +[strata] done: 10 tokens in 2 s (8.7 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 2 s (no speed) (stop, cancel=False) +[strata] answering: 47 of max 60 tokens, 17.1 tok/s, 3 s +[strata] done: 55 tokens in 3 s (19.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel: slot(s) 0 were marked busy with no request using them (issue #1603); freed, the waiting request goes on +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] answering: 48 of max 200 tokens, 47.8 tok/s, 1 s +[strata] done: 55 tokens in 1 s (62.4 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] answering: 48 of max 200 tokens, 47.8 tok/s, 1 s +[strata] done: 55 tokens in 1 s (48.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] answering: 1 of max 64 tokens, 4.0 tok/s, 1 s +[strata] reading the prompt: 32 of 3,037 tokens, 2 s so far +[strata] answering: 4 of max 64 tokens, 3.7 tok/s, 2 s +[strata] done: 10 tokens in 2 s (7.6 tok/s) (stop, cancel=False) +[strata] answering: 4 of max 64 tokens, 16.0 tok/s, 3 s +[strata] done: 10 tokens in 3 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] answering: 1 of max 64 tokens, 1.2 tok/s, 2 s +[strata] reading the prompt: 2,560 of 3,037 tokens, 3 s so far +[strata] answering: 4 of max 64 tokens, 2.0 tok/s, 3 s +[strata] done: 10 tokens in 3 s (4.8 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 3 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine's logits became non-finite before the first token (#879); it dropped its cached state: sending the request again once +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] the engine's logits became non-finite before the first token (#879); it dropped its cached state: sending the request again once +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] answering: 47 of max 64 tokens, 47.2 tok/s, 1 s +[strata] done: 55 tokens in 1 s (47.6 tok/s) (stop, cancel=False) +[strata] the engine's logits became non-finite after 2 tokens (#879): the reply ends here as "length"; the engine dropped its cached state, so the next request reads its prompt from the start +[strata] done: 2 tokens in 0 s (95.2 tok/s) (length, cancel=False) +[strata] answering: 47 of max 64 tokens, 47.3 tok/s, 1 s +[strata] done: 55 tokens in 1 s (47.6 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] reading the prompt: 2,560 of 3,037 tokens, 2 s so far[strata] answering: 2 of max 64 tokens, 2.4 tok/s, 1 s + +[strata] done: 10 tokens in 2 s (8.7 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 2 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] reading the prompt: 1,344 of 3,037 tokens, 1 s so far +[strata] reading the prompt: 32 of 3,037 tokens, 1 s so far +[strata] done: 10 tokens in 2 s (26.0 tok/s) (stop, cancel=False) +[strata] reading the prompt: 32 of 43 tokens, 2 s so far +[strata] answering: 2 of max 64 tokens, 8.0 tok/s, 2 s +[strata] done: 10 tokens in 2 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 2 s (no speed) (stop, cancel=False) +.............................[strata] answering: 50 of max 64 tokens, 50.8 tok/s, 1 s +[strata] answering: 50 of max 64 tokens, 50.8 tok/s, 1 s +[strata] answering: 50 of max 64 tokens, 50.8 tok/s, 1 s +[strata] done: 51 tokens in 1 s (50.8 tok/s) (stop, cancel=False) +[strata] done: 51 tokens in 1 s (50.8 tok/s) (stop, cancel=False) +[strata] done: 51 tokens in 1 s (50.8 tok/s) (stop, cancel=False) +.[strata] done: 22 tokens in 0 s (no speed) (stop, cancel=False) +............[strata] the config has a "vision" section but no --vision in its args: added --vision (run setup again with --vision to write them) +....[strata] thinking limited to 24386 of max_tokens 32514 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 1 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 1 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 1 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 1 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 1 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 1 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 1 s (no speed) (length, cancel=False) +.....[strata] the picture reader /.hermes/cache/scratch/tmp98kz9k12/components/engine/0.1.40-x/strata-vision.exe is not there any more; using /.hermes/cache/scratch/tmp98kz9k12/components/engine/0.1.54-x/strata-vision.exe from the engine package in use +..[strata] the picture reader /.hermes/cache/scratch/tmp2nl9p173/components/engine/0.1.52-x/strata-vision.exe belongs to an older engine; using /.hermes/cache/scratch/tmp2nl9p173/components/engine/0.1.54-x/strata-vision.exe from the engine package in use +..[strata] loading the model again (it was unloaded) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine did not start (try 1 of 3); again in 0 s +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine did not start (try 2 of 3); again in 0 s +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] loading the model again (it was unloaded) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine did not start (try 1 of 3); again in 0 s +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine did not start (try 2 of 3); again in 0 s +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] loading the model again (it was unloaded) ... +[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine had stopped (exit code None); starting it again (a minute or two) ... +[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine had stopped (exit code None); starting it again (a minute or two) ... +[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine had stopped (exit code None); starting it again (a minute or two) ... +[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +..[strata] repeated reasoning detected at 2048 tokens (coverage=1.000); resuming the same output with the low-effort instruction (reasoning_loop_recovery) +[strata] done: 2086 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] repeated reasoning detected at 2048 tokens (coverage=1.000); resuming the same output with the low-effort instruction (reasoning_loop_recovery) +[strata] done: 2071 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 1 tokens in 0 s (no speed) (cancel, cancel=True) +.[strata] done: 16384 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 28001 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] repeated reasoning detected at 2048 tokens (coverage=1.000); resuming the same output with the low-effort instruction (reasoning_loop_recovery) +[strata] done: 2082 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 28001 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] repeated reasoning detected at 2048 tokens (coverage=1.000); resuming the same output with the low-effort instruction (reasoning_loop_recovery) +[strata] done: 2106 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] repeated reasoning detected at 2048 tokens (coverage=1.000); resuming the same output with the low-effort instruction (reasoning_loop_recovery) +[strata] done: 2086 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] repeated reasoning detected at 2048 tokens (coverage=1.000); resuming the same output with the low-effort instruction (reasoning_loop_recovery) +[strata] done: 16384 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 28001 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] the thinking repeated the same passages (coverage=1.000) at 2560 tokens: ended as "length" (reasoning_loop_recovery: "stop" in strata-.json; remove it to turn this off) +[strata] done: 2560 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] the thinking repeated the same passages (coverage=1.000) at 2048 tokens: ended as "length" (reasoning_loop_recovery: "stop" in strata-.json; remove it to turn this off) +[strata] done: 2048 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +..................[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +.[strata] done: 133 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 133 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 133 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 133 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 133 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 133 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 117 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 117 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 117 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 117 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 117 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 117 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 150 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 150 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 150 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 150 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 150 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 150 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 108 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 108 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 108 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 108 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 108 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 108 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 97 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 97 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 97 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 97 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 97 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 97 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +.[strata] done: 134 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +.....[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +.............[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +......[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (20.2 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (20.2 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (34.2 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (34.2 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +....................[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (132.1 tok/s) (stop, cancel=False), expert cache 88.9% hit +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (132.1 tok/s) (stop, cancel=False), expert cache 88.9% hit +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 98 tokens in 0 s (82.1 tok/s) (cancel, cancel=True), expert cache 88.9% hit +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] the continuation ended without a DONE line. The next request starts the engine again. +[strata] done: 95 tokens in 0 s (100.0 tok/s) (error, cancel=False), expert cache 90.0% hit +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (132.1 tok/s) (stop, cancel=False), expert cache 88.9% hit +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (132.1 tok/s) (stop, cancel=False), expert cache 88.9% hit +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 10000) +[strata] done: 211 tokens in 0 s (1055.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +........[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +...[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +...[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +..................s......[strata] 400 invalid request: Expecting property name enclosed in double quotes: line 1 column 2 (char 1) +........................[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again.[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again. + +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine reported an error: refused: images are not enabled +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +[strata] 400 invalid request: refused: images are not enabled +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine reported an error: refused: images are not enabled +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +[strata] 400 invalid request: refused: images are not enabled +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped unexpectedly (exit code -9). The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again. +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped unexpectedly (exit code -9). The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again.[strata] the engine stopped unexpectedly (exit code -9). The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again. +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) + +[strata] done: 4 tokens in 0 s (no speed) (error, cancel=False) +[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again. +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel requests: 4 asked, the engine runs one at a time (its log says why) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel requests: 4 asked, the engine runs one at a time (its log says why) +[strata] the engine is running again +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again.[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again. + +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) +[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again. +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again.[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again. +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) + +[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again.[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) + +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (38.1 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +.........................................Exception in thread Thread-2602 (spam): +Traceback (most recent call last): + File "/usr/lib/python3.12/threading.py", line 1073, in _bootstrap_inner + self.run() + File "/usr/lib/python3.12/threading.py", line 1010, in run + self._target(*self._args, **self._kwargs) + File "/strata-0.2.13-stock/serve/test_serve_robustness.py", line 255, in spam +. w.write(f"[strata] progress line {i} " + "x" * 40 + "\n") +BrokenPipeError: [Errno 32] Broken pipe +/usr/lib/python3.12/threading.py:1075: ResourceWarning: unclosed file <_io.TextIOWrapper name=10 mode='w' encoding='utf-8'> + self._invoke_excepthook(self) +ResourceWarning: Enable tracemalloc to get the object allocation traceback +./usr/lib/python3.12/threading.py:1014: ResourceWarning: unclosed file <_io.TextIOWrapper name=12 mode='w' encoding='utf-8'> + del self._target, self._args, self._kwargs +ResourceWarning: Enable tracemalloc to get the object allocation traceback +...[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] answering: 4 of max 50 tokens, 4.4 tok/s, 1 s +[strata] done: 7 tokens in 2 s (3.9 tok/s) (stop, cancel=False) +.[strata] answering: 5082 of max 400000 tokens, 5089.1 tok/s, 1 s +[strata] done: 5526 tokens in 2 s (3317.3 tok/s) (disconnect, cancel=True) +....[strata] model unloaded; the next request loads it again +..[strata] refused a request for Host 'rebind.example.com' from 127.0.0.1: not a name this server answers to (add it to "allowed_hosts" in the config or STRATA_ALLOWED_HOSTS, or set an API key) +....[strata] model unloaded; the next request loads it again +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +...........[strata] done: 10 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 10 tokens in 0 s (133.3 tok/s) (length, cancel=False) +[strata] done: 10 tokens in 0 s (no speed) (length, cancel=False) +............[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +.[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +.[strata] 400 invalid request: tools[0] (f): "parameters" must be an object (the JSON schema of its parameters), not str +[strata] 400 invalid request: tools[0] (f): "parameters" must be an object (the JSON schema of its parameters), not list +[strata] 400 invalid request: tools[0] (f): "parameters" must be an object (the JSON schema of its parameters), not int +[strata] 400 invalid request: tools[0] (f): "input_schema" must be an object (the JSON schema of its parameters), not str +[strata] 400 invalid request: tools[0] (f): "input_schema" must be an object (the JSON schema of its parameters), not list +[strata] 400 invalid request: tools[0] (f): "input_schema" must be an object (the JSON schema of its parameters), not bool +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] 400 invalid request: tools must be a list of tool objects, each {"type": "function", "function": {"name": ..., "parameters": {...}}} +[strata] 400 invalid request: tools must be a list of tool objects, each {"type": "function", "function": {"name": ..., "parameters": {...}}} +[strata] 400 invalid request: tools[0] has no name: each tool must be {"type": "function", "function": {"name": ..., "parameters": {...}}} +[strata] 400 invalid request: tools must be a list of tool objects, each {"type": "function", "function": {"name": ..., "parameters": {...}}} +[strata] 400 invalid request: tools[0] has no name: each tool must be {"type": "function", "function": {"name": ..., "parameters": {...}}} +[strata] 400 invalid request: tools[0] has no name: each tool must be {"type": "function", "function": {"name": ..., "parameters": {...}}} +[strata] 400 invalid request: tools must be a list of tool objects, each {"name": ..., "input_schema": {...}} +[strata] 400 invalid request: tools must be a list of tool objects, each {"name": ..., "input_schema": {...}} +[strata] 400 invalid request: tools[0] has no name: each tool must be {"name": ..., "input_schema": {...}} +[strata] 400 invalid request: tools must be a list of tool objects, each {"name": ..., "input_schema": {...}} +[strata] 400 invalid request: tools[0] has no name: each tool must be {"name": ..., "input_schema": {...}} +[strata] 400 invalid request: tools[0] has no name: each tool must be {"name": ..., "input_schema": {...}} +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 400 invalid request: messages must be a list of objects +[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 400 invalid request: messages must be a list of objects +..[strata] 400 invalid request: No user query found in messages. +[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +........[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +....[strata] done: 10 tokens in 0 s (133.3 tok/s) (length, cancel=False) +[strata] done: 10 tokens in 0 s (133.3 tok/s) (length, cancel=False) +[strata] done: 10 tokens in 0 s (133.3 tok/s) (length, cancel=False), expert cache 90.0% hit +.........[strata] the engine reported an error: verify: layer 31 never rang (an illegal memory access was encountered) +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +[strata] the engine reported an error: verify: layer 31 never rang (an illegal memory access was encountered) +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +.[strata] the engine stopped unexpectedly (exit code -9). The next request starts the engine again. +[strata] done: 5 tokens in 0 s (no speed) (error, cancel=False) +[strata] the engine had stopped (exit code None); starting it again (a minute or two) ... +[strata] the engine is running again +[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: request exceeds the context window: prompt (4088 tokens) leaves no room to answer in the context (4096); requests are never truncated +.[strata] max_tokens 4096 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] max_tokens 4096 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 135 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: lookup; the response carries them as strata_rejected_tool_calls, /metrics counts them +[strata] done: 135 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: lookup; the response carries them as strata_rejected_tool_calls, /metrics counts them +[strata] done: 135 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: lookup; the response carries them as strata_rejected_tool_calls, /metrics counts them +[strata] done: 135 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: lookup; the response carries them as strata_rejected_tool_calls, /metrics counts them +[strata] done: 135 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: lookup; the response carries them as strata_rejected_tool_calls, /metrics counts them +[strata] done: 135 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: lookup; the response carries them as strata_rejected_tool_calls, /metrics counts them +.[strata] done: 88 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 88 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 119 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 119 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 125 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: execute_gdscript; the response carries them as strata_rejected_tool_calls, /metrics counts them +[strata] done: 125 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: execute_gdscript; the response carries them as strata_rejected_tool_calls, /metrics counts them +.[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool_choice {"type": "tool", "name": "nope"} is not supported here (or names no tool of the request): the model decides, as with "auto" +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool_choice {"type": "tool", "name": "nope"} is not supported here (or names no tool of the request): the model decides, as with "auto" +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 27 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 27 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 96 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 96 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 113 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: bash; the response carries them as strata_rejected_tool_calls, /metrics counts them +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 181 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 125 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 125 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 61 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] tool_choice {"type": "function", "function": {"name": "nope"}} is not supported here (or names no tool of the request): the model decides, as with "auto" +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool_choice {"type": "function"} is not supported here (or names no tool of the request): the model decides, as with "auto" +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool_choice "required" is not supported here (or names no tool of the request): the model decides, as with "auto" +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool_choice {"type": "banana"} is not supported here (or names no tool of the request): the model decides, as with "auto" +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool_choice "sometimes" is not supported here (or names no tool of the request): the model decides, as with "auto" +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 74 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 74 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 56 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 56 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] layer split: card order 2,0 (the faster card last; "gpu_order": "as_given" keeps 0,2, #1352) +[strata] layer split: card order 2,0 (the faster card last; "gpu_order": "as_given" keeps 0,2, #1352) +[strata] layer split: card order 2,0 (the faster card last; "gpu_order": "as_given" keeps 0,2, #1352) +[strata] layer split: card order 0,2,1 (the faster card last; "gpu_order": "as_given" keeps 0,1,2, #1352) +[strata] layer split: keeping card order 0,1 - the faster card has less VRAM than the one the split ends on (12288 vs 22528 MiB, #1576) +[strata] layer split: card order 1,0 (the faster card last; "gpu_order": "as_given" keeps 0,1, #1352) +[strata] layer split: card order 1,0 (the faster card last; "gpu_order": "as_given" keeps 0,1, #1352) +[strata] layer split: card order 1,0 (the faster card last; "gpu_order": "as_given" keeps 0,1, #1352) +[strata] layer split: keeping card order 0,1,2 - the faster card has less VRAM than the one the split ends on (12288 vs 24576 MiB, #1576) +..[strata] layer split: card order 0,1 (GPU 0 is built-in graphics: it takes the first layers, never the last stage; "gpu_order": "as_given" keeps 1,0) +[strata] layer split: card order 0,1 (GPU 0 is built-in graphics: it takes the first layers, never the last stage; "gpu_order": "as_given" keeps 1,0) +F[strata] layer split: card order 0,1 (GPU 0 is built-in graphics: it takes the first layers, never the last stage; "gpu_order": "as_given" keeps 1,0) +[strata] layer split: card order 0,1 (GPU 0 is built-in graphics: it takes the first layers, never the last stage; "gpu_order": "as_given" keeps 1,0) +[strata] layer split: card order 0,2,1 (GPU 0 is built-in graphics: it takes the first layers, never the last stage; "gpu_order": "as_given" keeps 1,0,2) +[strata] layer split: card order 0,1,2 (GPU 0 is built-in graphics: it takes the first layers, never the last stage; "gpu_order": "as_given" keeps 1,0,2) +[strata] layer split: card order 1,0 (the faster card last; "gpu_order": "as_given" keeps 0,1, #1352) +....[strata] the picture reader runs on GPU 1, not on the built-in graphics (GPU 0) that draws the desktop; "vision": {"cuda_device": N} chooses another card +..[strata] done: 54 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +..strata serve: AMD: HIP_PATH=Z:\definitely\not\here does not exist: not passed to the engine +.strata serve: AMD: HIP_PATH=/.hermes/cache/scratch/tmplvj2qu3k/TheRock/build does not exist: not passed to the engine +strata serve: AMD: HIP_DEVICE_LIB_PATH=/.hermes/cache/scratch/tmplvj2qu3k/TheRock/build does not exist: not passed to the engine +.strata serve: AMD: TEMP=/.hermes/cache/scratch/tmp5266m_3x/no/such/dir is not writable: using /.hermes/cache/scratch/tmp5266m_3x/tmp +.[strata] a picture a tool returned was left out of the prompt: this server has no image encoder +[strata] a picture a tool returned was left out of the prompt: this server has no image encoder +[strata] a picture a tool returned was left out of the prompt: this image format needs Pillow +[strata] a picture a tool returned was left out of the prompt: the image URL could not be read +....[strata] refused an API request from the web page 'https://evil.example' (no API key; add its host to "allowed_hosts" or its origin to "cors_origins" in the config) +[strata] 400 invalid request: a web page of another origin cannot have a file on this computer read as an image: send it as a data: URL (or add the page's origin to the config's trusted_origins) +[strata] 400 invalid request: a web page of another origin cannot have a file on this computer read as an image: send it as a data: URL (or add the page's origin to the config's trusted_origins) +[strata] 400 invalid request: a web page of another origin cannot have a file on this computer read as an image: send it as a data: URL (or add the page's origin to the config's trusted_origins) +[strata] 400 invalid request: a web page of another origin cannot have a file on this computer read as an image: send it as a data: URL (or add the page's origin to the config's trusted_origins) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +.......[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +....[strata] done: 32 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 32 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 32 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 32 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 32 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 32 tokens in 0 s (no speed) (stop, cancel=False) +.............................[strata] the engine stopped unexpectedly (exit code -9). The next request starts the engine again. +[strata] done: 3 tokens in 0 s (no speed) (error, cancel=False) +..[strata] done: 30 tokens in 1 s (51.5 tok/s) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine said nothing for 1 s during the request; the server ended the engine. The engine and the server lost step (issue #481; a very slow PC can raise "engine_silence_s" in the config, 0 = wait forever). If it happens again, please add the end of the engine log to github.com/Niko1221/Strata/issues/481. The next request starts the engine again. +[strata] done: 1 tokens in 1 s (2.0 tok/s) (error, cancel=False) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 2 tokens in 0 s (2000.0 tok/s) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine said nothing for 1 s during the request; the server ended the engine. The engine and the server lost step (issue #481; a very slow PC can raise "engine_silence_s" in the config, 0 = wait forever). If it happens again, please add the end of the engine log to github.com/Niko1221/Strata/issues/481. The next request starts the engine again. +[strata] done: 1 tokens in 1 s (2.0 tok/s) (error, cancel=False) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 2 tokens in 0 s (2000.0 tok/s) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine did not finish the request after it was stopped (STOP) within 0 s; the server ended the engine. The engine and the server lost step (issue #481; a very slow PC can raise "engine_silence_s" in the config, 0 = wait forever). If it happens again, please add the end of the engine log to github.com/Niko1221/Strata/issues/481. The next request starts the engine again. +[strata] done: 2 tokens in 1 s (4.0 tok/s) (error, cancel=False) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 2 tokens in 0 s (2000.0 tok/s) (length, cancel=False) +.....[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: request exceeds the context window: prompt (4146 tokens) leaves no room to answer in the context (4096); requests are never truncated +[strata] 400 invalid request: prompt is too long: 4146 tokens > 4087 maximum; request exceeds the context window: prompt (4146 tokens) leaves no room to answer in the context (4096); requests are never truncated +..[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] max_tokens 3843 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] max_tokens 3843 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] max_tokens 3843 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +..[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +[strata] thinking limited to 988 of max_tokens 1500 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 1500 tokens in 0 s (no speed) (length, cancel=False) +[strata] thinking limited to 988 of max_tokens 1500 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 1500 tokens in 0 s (no speed) (length, cancel=False) +.[strata] max_tokens 4096 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] max_tokens 4096 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] max_tokens 4096 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] 400 invalid request: request exceeds the context window: prompt (246 tokens) + max tokens (4096) exceeds the context (4096); requests are never truncated. Send a smaller max_tokens (at most 3842 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: input length and `max_tokens` exceed context limit: 246 + 4096 > 4088; request exceeds the context window: prompt (246 tokens) + max tokens (4096) exceeds the context (4096); requests are never truncated. Send a smaller max_tokens (at most 3842 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +..[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: request exceeds the context window: prompt (4088 tokens) leaves no room to answer in the context (4096); requests are never truncated +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: prompt is too long: 4088 tokens > 4087 maximum; request exceeds the context window: prompt (4088 tokens) leaves no room to answer in the context (4096); requests are never truncated +..[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +...................[strata] the config has a "vision" section but no --vision in its args: added --vision and --vram-reserve-mib 700 (run setup again with --vision to write them) +[strata] the config has a "vision" section but no --vision in its args: added --vision (run setup again with --vision to write them) +[strata] the config has a "vision" section but no --vision in its args: added --vision (run setup again with --vision to write them) +........[strata] done: 10 tokens in 0 s (20.0 tok/s) (length, cancel=False) +.[strata] done: 10 tokens in 0 s (20.0 tok/s) (length, cancel=False) +[strata] done: 10 tokens in 0 s (20.0 tok/s) (length, cancel=False) +.[strata] done: 40 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 40 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +....[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 28 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] the reply ended inside its thinking with no answer: closing the thinking once and continuing (reasoning_close_retry) +[strata] done: 64 tokens in 0 s (no speed) (stop, cancel=False) +....[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +/usr/lib/python3.12/unittest/case.py:589: ResourceWarning: unclosed + if method() is not None: +ResourceWarning: Enable tracemalloc to get the object allocation traceback +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine did not start (try 1 of 3); again in 0 s +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +............[strata] other apps now use the Chat settings: temperature=0.3 +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 16 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] other apps use their own settings again +.[strata] other apps now use the Chat settings: temperature=0.3 +[strata] other apps use their own settings again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 16 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] other apps now use the Chat settings: temperature=1.0 +.[strata] other apps now use the Chat settings: temperature=0.3, top_p=0.9, top_k=10, seed=7, max_tokens=77, reasoning_effort=low, experimental_speed_projection=False +[strata] done: 16 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +..[strata] other apps now use the Chat settings: temperature=1.0 +.[strata] model unloaded; the next request loads it again +[strata] the engine is not running but its picture encoder is: stopping the encoder to give its memory back +.[strata] model unloaded; the next request loads it again +[strata] before loading: /strata-0.2.13-stock/.venv/bin/python -c import sys; sys.exit(1) +[strata] the before_load command failed (it exited with code 1); loading anyway +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] model unloaded; the next request loads it again +[strata] before loading: /strata-0.2.13-stock/.venv/bin/python -c open('/.hermes/cache/scratch/tmpucdy113b/ran', 'w').close() +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] model unloaded; the next request loads it again +[strata] before loading: /strata-0.2.13-stock/.venv/bin/python -c import sys; sys.exit(7) +[strata] the before_load command failed (it exited with code 7); the model stays unloaded and this request is answered 503 - try again (before_load_strict) +.[strata] model unloaded; the next request loads it again +[strata] before loading: /strata-0.2.13-stock/.venv/bin/python -c import time; time.sleep(30) +[strata] the before_load command failed (it did not finish in 0.5 s (before_load_timeout_s)); the model stays unloaded and this request is answered 503 - try again (before_load_strict) +.[strata] model unloaded; the next request loads it again +[strata] before loading: /strata-0.2.13-stock/.venv/bin/python -c import sys; sys.exit(7) +[strata] the before_load command failed (it exited with code 7); checking the free VRAM +[strata] the before_load command failed (it exited with code 7), but 20000 MiB of VRAM is free: loading +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] model unloaded; the next request loads it again +[strata] before loading: /strata-0.2.13-stock/.venv/bin/python -c import sys; sys.exit(3) +[strata] the before_load command failed (it exited with code 3); checking the free VRAM +[strata] the before_load command failed (it exited with code 3) and only 2000 MiB of VRAM is free (the model needs 8000): not loading; 503 +[strata] before loading: /strata-0.2.13-stock/.venv/bin/python -c import sys; sys.exit(3) +[strata] the before_load command failed (it exited with code 3); checking the free VRAM +[strata] the before_load command failed (it exited with code 3), but 20000 MiB of VRAM is free: loading +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] model unloaded; the next request loads it again +[strata] before loading: /strata-0.2.13-stock/.venv/bin/python -c import sys; sys.exit(7) +[strata] the before_load command failed (it exited with code 7); loading anyway (set min_free_vram_mib to have the free VRAM checked, or before_load_strict to refuse) +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] the model unloads after 1 s without requests +[strata] model unloaded after 1 s idle; the next request loads it again +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] model unloaded; the next request loads it again +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +.[strata] model unloaded; the next request loads it again +[strata] model unloaded after 1 s idle; the next request loads it again +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] model unloaded; the next request loads it again +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] model unloaded; the next request loads it again +[strata] the engine is not running but its picture encoder is: stopping the encoder to give its memory back +[strata] starting the vision encoder ... +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] model unloaded; the next request loads it again +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] model unloaded; the next request loads it again +.[strata] model unloaded; the next request loads it again +[strata] the engine is not running but its picture encoder is: stopping the encoder to give its memory back +.[strata] model unloaded; the next request loads it again +[strata] starting the vision encoder ... +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] the engine has said nothing for 1 s but is still working; it is not ended (the limit is engine_silence_s). If it is stuck, "engine_silence_s" can be set lower. +...[strata] the engine has said nothing for 1 s but is still working; it is not ended (the limit is engine_silence_s). If it is stuck, "engine_silence_s" can be set lower. +................[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +....[strata] done: 15 tokens in 0 s (no speed) (disconnect, cancel=False) +[strata] done: 20 tokens in 0 s (no speed) (length, cancel=False) +..[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] 400 invalid request: stop takes at most 4 strings +[strata] 400 invalid request: stop must be a string or a list of strings +[strata] 400 invalid request: stop_sequences must be a list of strings +[strata] 400 invalid request: stop_sequences must be a list of strings +.[strata] done: 19 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 29 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] 400 invalid request: reasoning_budget_tokens='lots': expected a whole number of tokens (0: no budget) +[strata] 400 invalid request: reasoning_budget_tokens=2.5: expected a whole number of tokens (0: no budget) +[strata] 400 invalid request: reasoning_budget_tokens=True: expected a whole number of tokens (0: no budget) +[strata] 400 invalid request: reasoning_budget_tokens=[1]: expected a whole number of tokens (0: no budget) +..[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 10000) +[strata] done: 211 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] thinking limited to 512 of max_tokens 1024 so the answer has room ("answer_room": false in the config turns this off) +[strata] thinking budget reached (512 tokens): wrapping up the thinking +[strata] done: 604 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 211 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 108 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking budget reached (30 tokens): wrapping up the thinking +[strata] done: 122 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking budget reached (30 tokens): wrapping up the thinking +[strata] done: 122 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking budget reached (10 tokens): wrapping up the thinking +[strata] done: 102 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 20 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 211 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 300 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 1024 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 17 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 211 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] done: 17 tokens in 0 s (no speed) (stop, cancel=False) +........................[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +...[strata] done: 13 tokens in 0 s (50.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +...[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 13 tokens in 0 s (50.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +.[strata] done: 13 tokens in 0 s (50.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +..[strata] done: 13 tokens in 0 s (50.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +[strata] done: 13 tokens in 0 s (50.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +.[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (50.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +.[strata] done: 13 tokens in 0 s (50.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +.............[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +............[strata] SAVE waiting for RAM after cache reclaim: need=1125 MiB, limit=30s; floor unchanged +.[strata] SAVE waiting for RAM after cache reclaim: need=1125 MiB, limit=30s; floor unchanged +.........................................................................................[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +..[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.....[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] done: 255 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 10991 of max_tokens 14654 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 282 tokens in 0 s (no speed) (stop, cancel=False) +.ss.[strata] done: 43 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 43 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 43 tokens in 0 s (no speed) (stop, cancel=False) +[strata] structured output: repaired backslashes that were not valid JSON escapes +[strata] done: 43 tokens in 0 s (no speed) (stop, cancel=False) +[strata] structured output: repaired backslashes that were not valid JSON escapes +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 21 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 15 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +.[strata] 400 invalid request: response_format must be an object +[strata] 400 invalid request: response_format.type must be text, json_object or json_schema +[strata] 400 invalid request: response_format.json_schema needs a name +[strata] 400 invalid request: response_format.json_schema.strict must be boolean +[strata] 400 invalid request: structured response_format with tools/MCP is not supported +[strata] 400 invalid request: structured response_format with tools/MCP is not supported +[strata] 400 invalid request: send a JSON object +.[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 15 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 15 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 32 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] 400 invalid request: response_format.json_schema needs a schema object +[strata] done: 21 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 40 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 40 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 40 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 40 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 40 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +...[strata] done: 255 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 26 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +..................................................................................................[strata] done: 130 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 130 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 130 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 130 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: mcp__plugin_ctx__ctx_search; the response carries them as strata_rejected_tool_calls, /metrics counts them +.....[strata] VRAM: 4000 MiB free, expert cache 2000 of 6000 MiB (100 experts) +[strata] images: the expert cache keeps 2048 MiB free for the image encoder (500 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +[strata] VRAM: 3048 MiB free, expert cache 2952 of 6000 MiB (952 experts) +[strata] images: the image encoder stopped after 60 s without a picture; the expert cache took its VRAM back (5000 of 6000 MiB) +.[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder stopped after 60 s without a picture; the expert cache took its VRAM back (6000 of 6000 MiB) +.[strata] images: the expert cache did not make room for the image encoder (VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve)); starting it anyway +[strata] images: the image encoder started in 0.0 s +[strata] images: the image encoder stopped after 60 s without a picture +.[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +[strata] images: the image encoder stopped after 60 s without a picture; the expert cache took its VRAM back (6000 of 6000 MiB) +[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +.[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +[strata] model unloaded; the next request loads it again +..[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +..[strata] images: the expert cache did not make room for the image encoder (VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve)); starting it anyway +[strata] images: the image encoder started in 0.0 s +....[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] the GPU picture reader did not start (cudaMalloc failed: out of memory); pictures are read on the CPU until it is idle +[strata] images: the image encoder started in 0.0 s, on the CPU +[strata] images: the image encoder stopped after 120 s without a picture +[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +.[strata] the GPU picture reader did not start (no kernel image); pictures are read on the CPU +...[strata] images: the expert cache did not make room for the image encoder (VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve)); starting it anyway +[strata] images: the image encoder started in 0.0 s, 0 MiB of VRAM +[strata] images: the expert cache did not make room for the image encoder (VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve)); starting it anyway +[strata] images: the image encoder started in 0.0 s +.[strata] images: the expert cache did not make room for the image encoder (VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve)); starting it anyway +/strata-0.2.13-stock/serve/lifeline.py:59: ResourceWarning: unclosed file <_io.TextIOWrapper name=14 encoding='utf-8'> + fn, future = self._jobs.get() +ResourceWarning: Enable tracemalloc to get the object allocation traceback +/strata-0.2.13-stock/serve/lifeline.py:59: ResourceWarning: unclosed file <_io.TextIOWrapper name=15 encoding='utf-8'> + fn, future = self._jobs.get() +ResourceWarning: Enable tracemalloc to get the object allocation traceback +.[strata] images: the expert cache did not make room for the image encoder (VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve)); starting it anyway +.[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] images: the expert cache did not make room for the image encoder (VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve)); starting it anyway +[strata] images: the image encoder started in 0.0 s +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +................[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +.[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] a picture a tool returned was left out of the prompt: the image encoder failed to start: the vision encoder did not start: it ended without saying anything (exit code 1) +..[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +......[strata] 400 invalid request: VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve) +.[strata] 400 invalid request: reserve_mib: a whole number of MiB (0 or more), or null for the start's +[strata] 400 invalid request: reserve_mib: a whole number of MiB (0 or more), or null for the start's +[strata] 400 invalid request: reserve_mib: a whole number of MiB (0 or more), or null for the start's +[strata] 400 invalid request: reserve_mib: a whole number of MiB (0 or more), or null for the start's +[strata] refused an API request from the web page 'https://other.example' (no API key; add its host to "allowed_hosts" or its origin to "cors_origins" in the config) +.[strata] VRAM: 4000 MiB free, expert cache 2000 of 6000 MiB (100 experts) +[strata] VRAM: 700 MiB free, expert cache 5300 of 6000 MiB (3300 experts) +.[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +................s.............................s.............sss[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +/strata-0.2.13-stock/serve/lifeline.py:59: ResourceWarning: unclosed file <_io.TextIOWrapper name=14 encoding='utf-8'> + fn, future = self._jobs.get() +ResourceWarning: Enable tracemalloc to get the object allocation traceback +/strata-0.2.13-stock/serve/lifeline.py:59: ResourceWarning: unclosed file <_io.TextIOWrapper name=15 encoding='utf-8'> + fn, future = self._jobs.get() +ResourceWarning: Enable tracemalloc to get the object allocation traceback +[strata] done: 10 tokens in 0 s (25.9 tok/s) (stop, cancel=False) +[strata] answering: 25 of max 60 tokens, 24.9 tok/s, 1 s +[strata] reading the prompt: 2,944 of 3,037 tokens, 1 s so far +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +[strata] done: 55 tokens in 2 s (33.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 0 s (no speed) (cancel, cancel=True) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 0 s (no speed) (cancel, cancel=True) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (25.9 tok/s) (stop, cancel=False) +[strata] answering: 2 of max 64 tokens, 8.0 tok/s, 1 s +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +. +====================================================================== +FAIL: test_hip_ordinal (test_server.GpuChoice.test_hip_ordinal) +#325: on Windows the HIP ordinal setup resolved wins over the config's "gpu" (an iGPU takes HIP's 0). +---------------------------------------------------------------------- +Traceback (most recent call last): + File "/strata-0.2.13-stock/serve/test_server.py", line 1992, in test_hip_ordinal + self.assertEqual(child_env({"backend": "hip", "gpu": [1, 0], "hip_ordinal": 2})["HIP_VISIBLE_DEVICES"], +AssertionError: '0,1' != '1,0' +- 0,1 ++ 1,0 + + +---------------------------------------------------------------------- +Ran 1512 tests in 622.743s + +FAILED (failures=1, skipped=17) diff --git a/dirigo-results/0.2.13-port/suites/strata-0213-suite.log b/dirigo-results/0.2.13-port/suites/strata-0213-suite.log new file mode 100644 index 00000000000..da08c95ee8a --- /dev/null +++ b/dirigo-results/0.2.13-port/suites/strata-0213-suite.log @@ -0,0 +1,2427 @@ +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.............sss...[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +..............[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +.....[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] other apps now use the Chat settings: temperature=0.5 +.[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +.....[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] other apps now use the Chat settings: temperature=0.5 +[strata] other apps now use the Chat settings: temperature=0.5 +[strata] other apps now use the Chat settings: temperature=0.5 +..[strata] 400 invalid request: request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: request exceeds the context window: prompt (150722 tokens) + max tokens (16) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: request exceeds the context window: prompt (1024 tokens) + max tokens (131072) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 130040 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: request exceeds the context window: prompt (150722 tokens) + max tokens (16) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: request exceeds the context window: prompt (1024 tokens) + max tokens (131072) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 130040 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) + max tokens (16) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: input length and `max_tokens` exceed context limit: 1024 + 131072 > 131064; request exceeds the context window: prompt (1024 tokens) + max tokens (131072) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 130040 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) + max tokens (16) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: input length and `max_tokens` exceed context limit: 1024 + 131072 > 131064; request exceeds the context window: prompt (1024 tokens) + max tokens (131072) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 130040 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +.[strata] max_tokens 131072 shortened to 130040: the prompt (1024 tokens) leaves that much of the context (131072); "fit_max_tokens": false answers 400 instead +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 400 invalid request: request exceeds the context window: prompt (131064 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: request exceeds the context window: prompt (131064 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] max_tokens 131072 shortened to 130040: the prompt (1024 tokens) leaves that much of the context (131072); "fit_max_tokens": false answers 400 instead +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 400 invalid request: prompt is too long: 131064 tokens > 131063 maximum; request exceeds the context window: prompt (131064 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] 400 invalid request: prompt is too long: 131064 tokens > 131063 maximum; request exceeds the context window: prompt (131064 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] max_tokens 131072 shortened to 130040: the prompt (1024 tokens) leaves that much of the context (131072); "fit_max_tokens": false answers 400 instead +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: request exceeds the context window: prompt (131064 tokens) + max tokens (1) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: request exceeds the context window: prompt (131064 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: prompt is too long: 131064 tokens > 131063 maximum; request exceeds the context window: prompt (131064 tokens) + max tokens (1) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: prompt is too long: 131064 tokens > 131063 maximum; request exceeds the context window: prompt (131064 tokens) leaves no room to answer in the context (131072); requests are never truncated +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] max_tokens 130041 shortened to 130040: the prompt (1024 tokens) leaves that much of the context (131072); "fit_max_tokens": false answers 400 instead +.[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) + max tokens (16) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: input length and `max_tokens` exceed context limit: 1024 + 131072 > 131064; request exceeds the context window: prompt (1024 tokens) + max tokens (131072) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 130040 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: prompt is too long: 150722 tokens > 131063 maximum; request exceeds the context window: prompt (150722 tokens) + max tokens (16) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: input length and `max_tokens` exceed context limit: 1024 + 131072 > 131064; request exceeds the context window: prompt (1024 tokens) + max tokens (131072) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 130040 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: request exceeds the context window: prompt (150722 tokens) + max tokens (16) exceeds the context (131072); requests are never truncated. Send a smaller max_tokens (at most 0 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +...sssss........[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] Drafting: off (the cards were short of memory): starting again without a drafter (layer split, CUDA1 expert cache: no room) +[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] Drafting: MTP (DFlash2 didn't start): starting again with the MTP +[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] Drafting: MTP (DFlash2 didn't start): starting again with the MTP +[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.......[strata] "parallel" must be a whole number of requests (2..8), not '4': ignored +..[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +..[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 1 s (10000.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (10000.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (10000.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +/usr/lib/python3.12/tempfile.py:1075: ResourceWarning: Implicitly cleaning up /.hermes/cache/scratch/tmpxx_qzy_v'> + _warnings.warn(warn_message, ResourceWarning) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel requests: 1 asked, the engine runs one at a time (its log says why) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +................[strata] thinking capped at 4 of max_tokens 8 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 4 of max_tokens 8 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] 400 invalid request: this server was started without pictures for DeepSeek (--vision off, or a pack made without the picture reader): run strata launch again without --vision off to read images +.[strata] thinking capped at 4 of max_tokens 8 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 4 of max_tokens 8 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 28 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] done: 22 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 4 of max_tokens 8 to leave room for the answer (budget 32768) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] thinking capped at 150 of max_tokens 300 to leave room for the answer (budget 1000) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 195 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] 400 invalid request: unknown reasoning effort 'extreme': use none, low, medium or high, max or 1..100 +.[strata] done: 81 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 27 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 199 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 150 of max_tokens 300 to leave room for the answer (budget 32768) +[strata] done: 126 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +..[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 20 of max_tokens 40 to leave room for the answer (budget 32768) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 29 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 218 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.......................[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 94 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 100 of max_tokens 200 to leave room for the answer (budget 32768) +[strata] done: 116 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] done: 116 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 300 of max_tokens 600 to leave room for the answer (budget 32768) +[strata] done: 116 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] thinking capped at 100 of max_tokens 200 to leave room for the answer (budget 32768) +[strata] thinking budget reached (100 tokens): wrapping up the thinking +[strata] done: 174 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 100 of max_tokens 200 to leave room for the answer (budget 32768) +[strata] thinking budget reached (100 tokens): wrapping up the thinking +[strata] done: 174 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] thinking budget reached (200 tokens): wrapping up the thinking +[strata] done: 274 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 32768) +[strata] thinking budget reached (200 tokens): wrapping up the thinking +[strata] done: 274 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 300 of max_tokens 600 to leave room for the answer (budget 32768) +[strata] thinking budget reached (300 tokens): wrapping up the thinking +[strata] done: 374 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] thinking capped at 300 of max_tokens 600 to leave room for the answer (budget 32768) +[strata] thinking budget reached (300 tokens): wrapping up the thinking +[strata] done: 374 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] done: 300 tokens in 0 s (100.0 tok/s) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] thinking capped at 3750 of max_tokens 5000 to leave room for the answer (budget 32768) +[strata] thinking budget reached (3750 tokens): wrapping up the thinking +[strata] done: 3824 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 300 tokens in 0 s (100.0 tok/s) (length, cancel=False) +..[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.......s......[strata] 400 invalid request: unknown reasoning effort 'huge': use none, low, medium or high +.[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 25 of max_tokens 50 to leave room for the answer (budget 500) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 25 of max_tokens 50 to leave room for the answer (budget 2047) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 25 of max_tokens 50 to leave room for the answer (budget 2048) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 25 of max_tokens 50 to leave room for the answer (budget 8191) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 25 of max_tokens 50 to leave room for the answer (budget 8192) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 25 of max_tokens 50 to leave room for the answer (budget 31999) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6114 of max_tokens 8152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6114 of max_tokens 8152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6114 of max_tokens 8152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6114 of max_tokens 8152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6114 of max_tokens 8152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6114 of max_tokens 8152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 3072 of max_tokens 4096 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 3072 of max_tokens 4096 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 5964 of max_tokens 7951 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6073 of max_tokens 8097 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 25 of max_tokens 50 to leave room for the answer (budget 20000) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6005 of max_tokens 8006 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 6114 of max_tokens 8152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5952 of max_tokens 7935 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 5266 of max_tokens 7021 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5213 of max_tokens 6950 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +........................[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (2 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +...[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +..[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +.[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (1 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (2 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (3 of 3 allowed in 10 minutes) +[strata] the GPU reported a fatal error (cudaStreamSynchronize(s): an illegal memory access was encountered); the engine ended (exit code 3) and is started again; the request that was running failed and can be sent again (3 of 3 allowed in 10 minutes) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped unexpectedly (exit code -15). Unrecoverable native verification failure: verify: timed out at layer 18; its GPU waits were released and the GPU finished (#267) The next request starts the engine again. +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +[strata] the engine had stopped (exit code -15); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped unexpectedly (exit code -15). Unrecoverable native verification failure: verify: timed out at layer 18; its GPU waits were released and the GPU finished (#267) The next request starts the engine again. +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +[strata] the engine had stopped (exit code -15); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +...........................[strata] layer split: card order 0,1 (the faster card last; "gpu_order": "as_given" keeps 1,0, #1352) +..........................[strata] image: 512x768, n=2, 8 steps, seed 11 +[strata] image done in 0.2 s (keep) +.[strata] 400 invalid request: size 999x999: each side a multiple of 32 from 256 to 2048 +[strata] image: 1024x1024, n=1, 8 steps, seed 1832967416 +/strata-0.2.13/serve/lifeline.py:59: ResourceWarning: unclosed file <_io.TextIOWrapper name=14 encoding='utf-8'> + fn, future = self._jobs.get() +ResourceWarning: Enable tracemalloc to get the object allocation traceback +[strata] image job failed: sd-cli exited with code 1 +[INFO ] loading tensors completed, taking 0.10s +[ERROR] ggml_vulkan: ErrorDeviceLost +.[strata] image: 1024x1024, n=1, 8 steps, seed 1032136395 +[strata] image done in 1.6 s (keep)[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) + +...[strata] image: 1024x1024, n=1, 8 steps, seed 5 +[strata] image done in 0.2 s (keep) +.[strata] image: 1024x1024, n=1, 8 steps, seed 0 +[strata] image done in 0.2 s (keep) +[strata] image: 1024x1024, n=1, 8 steps, seed 1 +[strata] image done in 0.2 s (keep) +[strata] image: 1024x1024, n=1, 8 steps, seed 2 +[strata] image done in 0.2 s (keep) +[strata] image: 1024x1024, n=1, 8 steps, seed 3 +[strata] image done in 0.2 s (keep) +.[strata] image job: the conversation (123 tokens) saved; unloading the model +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] the conversation from before the image job is back (123 tokens) +...[strata] image job: the engine's expert cache gave VRAM back (9000 MiB free) +.[strata] image job: the conversation (123 tokens) saved; unloading the model +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] the conversation from before the image job is back (123 tokens) +.........[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (disconnect, cancel=False) +......[strata] loading the model again (it was unloaded) ... +.[strata] model unloaded; the next request loads it again +.....[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] model unloaded; the next request loads it again +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +.../usr/lib/python3.12/unittest/case.py:669: ResourceWarning: unclosed file <_io.TextIOWrapper name=9 encoding='utf-8'> + function, args, kwargs = self._cleanups.pop() +ResourceWarning: Enable tracemalloc to get the object allocation traceback +........[strata] 400 invalid request: logit_bias: expected an object or a list of [token_id, bias] pairs +[strata] 400 invalid request: logit_bias: this engine does not support token biases; use a supporting CUDA/HIP build +[strata] 400 invalid request: logit_bias: biases must be finite numbers between -100 and 100; false is a pair-list ban +..........[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] response_format json_schema: the Python package jsonschema is not installed, so answers are only checked to be one JSON object (python -m pip install "jsonschema>=4.23,<5") +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] 400 invalid request: allowed_token_ids: 300 is outside the vocabulary (0..299) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 45 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] 400 invalid request: logprobs is available with "parallel" (batch slots) only for max_tokens 1; run the server without "--parallel" for longer replies +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +................[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] 400 invalid request: logprobs is available with "parallel" (batch slots) only for max_tokens 1; run the server without "--parallel" for longer replies +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] MCP server 'missing' did not start: could not start 'strata-no-such-program': [Errno 2] No such file or directory: 'strata-no-such-program'. Its tools are left out; the chat works without them. +[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'paged': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped (exit code 2): cannot start: missing configuration. Its tools are left out; the chat works without them. +...[strata] MCP server 'solo': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'solo' had stopped; starting it again +[strata] MCP server 'solo': 6 tools (echo, fail, sleep, big, die, add) +........[strata] MCP server 'down' did not start: could not reach http://127.0.0.1:9/mcp: . Its tools are left out; the chat works without them. +[strata] MCP server 'web': 6 tools (echo, fail, sleep, big, die, add) +..[strata] thinking limited to 5955 of max_tokens 7939 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 83 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +.[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 127 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 12 characters in 0.0 s +[strata] thinking limited to 4509 of max_tokens 6012 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 128 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 13 characters in 0.0 s +[strata] thinking limited to 5443 of max_tokens 7257 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 35 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 246 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 5479 of max_tokens 7305 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 30 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 5 characters in 0.0 s +[strata] thinking limited to 5606 of max_tokens 7474 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 127 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: fake__echo; the response carries them as strata_rejected_tool_calls, /metrics counts them +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4614 of max_tokens 6152 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 141 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__add: ok, 1 characters in 0.0 s +[strata] thinking limited to 5548 of max_tokens 7397 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 27 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] thinking limited to 4620 of max_tokens 6160 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 84 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__fail: error, 27 characters in 0.0 s +[strata] thinking limited to 5616 of max_tokens 7488 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 52 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 141 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__add: ok, 1 characters in 0.0 s +[strata] thinking limited to 4507 of max_tokens 6009 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] refused an API request from the web page 'http://evil.example' (no API key; add its host to "allowed_hosts" or its origin to "cors_origins" in the config) +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4590 of max_tokens 6119 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 109 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 5949 of max_tokens 7932 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: fake__echo; the response carries them as strata_rejected_tool_calls, /metrics counts them +[strata] thinking limited to 5949 of max_tokens 7932 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 16 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5949 of max_tokens 7932 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 16 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 4515 of max_tokens 6020 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 4371 of max_tokens 5827 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 4226 of max_tokens 5634 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 4081 of max_tokens 5441 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 3936 of max_tokens 5248 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 3792 of max_tokens 5055 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 3647 of max_tokens 4862 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 3502 of max_tokens 4669 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 3357 of max_tokens 4476 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 123 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 8 characters in 0.0 s +[strata] thinking limited to 3213 of max_tokens 4283 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 124 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 9 characters in 0.0 s +[strata] thinking limited to 3066 of max_tokens 4088 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 124 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 9 characters in 0.0 s +[strata] thinking limited to 2920 of max_tokens 3893 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 124 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 9 characters in 0.0 s +[strata] thinking limited to 2774 of max_tokens 3698 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 124 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 9 characters in 0.0 s +[strata] thinking limited to 2628 of max_tokens 3503 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 124 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 9 characters in 0.0 s +[strata] thinking limited to 2481 of max_tokens 3308 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 124 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 9 characters in 0.0 s +[strata] thinking limited to 3420 of max_tokens 4560 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 40 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4665 of max_tokens 6220 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 134 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 19 characters in 0.0 s +[strata] thinking limited to 4499 of max_tokens 5998 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 84 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__fail: error, 27 characters in 0.0 s +[strata] thinking limited to 4530 of max_tokens 6040 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 21 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 115 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__big: ok, 3,000 characters in 0.0 s (truncated for the model) +[strata] thinking limited to 4090 of max_tokens 5453 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 16 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] MCP image cache unavailable: disk full +............[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped (exit code 2): cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 5 characters in 0.0 s +[strata] thinking limited to 4520 of max_tokens 6026 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 16 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped (exit code 2): cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] thinking limited to 4660 of max_tokens 6213 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 122 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool fake__echo: ok, 15 characters in 0.0 s +[strata] thinking limited to 4511 of max_tokens 6014 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 26 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'broken' did not start: the server stopped: cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] 400 invalid request: invalid tool image reference +[strata] 400 invalid request: invalid tool image reference +[strata] 400 invalid request: invalid tool image reference +[strata] 400 invalid request: invalid tool image reference +.[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] MCP server 'broken' did not start: the server stopped (exit code 2): cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] thinking limited to 5757 of max_tokens 7676 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5757 of max_tokens 7676 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5757 of max_tokens 7676 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5757 of max_tokens 7676 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] MCP server 'broken' did not start: the server stopped (exit code 2): cannot start: missing configuration. Its tools are left out; the chat works without them. +[strata] MCP server 'fake': 6 tools (echo, fail, sleep, big, die, add) +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 5766 of max_tokens 7688 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 31 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +..[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +....[strata] 400 invalid request: request exceeds the context window: prompt (183 tokens) + max tokens (20000) exceeds the context (16384); requests are never truncated. Send a smaller max_tokens (at most 16193 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] done: 0 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 0 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] thinking capped at 128 of max_tokens 256 to leave room for the answer (budget 1024) +[strata] done: 0 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] thinking capped at 128 of max_tokens 256 to leave room for the answer (budget 1024) +[strata] done: 0 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] thinking limited to 12098 of max_tokens 16130 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 50 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 50 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 50 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 128 of max_tokens 256 to leave room for the answer (budget 1024) +[strata] done: 50 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking capped at 128 of max_tokens 256 to leave room for the answer (budget 1024) +[strata] done: 50 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] done: 50 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 50 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking limited to 2879 of max_tokens 3838 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +.........[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 1 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 4 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (476.2 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (476.2 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 8 tokens in 0 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 0 s (381.0 tok/s) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (476.2 tok/s) (stop, cancel=False) +[strata] answering: 48 of max 200 tokens, 50.3 tok/s, 1 s +[strata] done: 55 tokens in 1 s (61.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (500.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (500.0 tok/s) (stop, cancel=False) +...........[strata] "parallel" must be a whole number of requests (2..8), not '4': ignored +[strata] "parallel" must be a whole number of requests (2..8), not True: ignored +[strata] "parallel": 12 - the engine runs at most 8 requests together; it will use 8 +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 8 tokens in 0 s (195.1 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 0 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 0 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 0 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] answering: 7 of max 8 tokens, 28.0 tok/s, 1 s[strata] answering: 8 of max 8 tokens, 32.0 tok/s, 1 s + +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 1 s so far +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 1 s so far +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 1 s so far +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 1 s so far +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 1 s so far +[strata] done: 8 tokens in 1 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 1 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 45 tokens, 2 s so far +[strata] done: 8 tokens in 2 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 3 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 3 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 45 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 45 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 4 s so far +[strata] done: 8 tokens in 4 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 45 tokens, 4 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 45 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 45 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 5 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 5 s so far +[strata] done: 8 tokens in 6 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 6 s so far +[strata] done: 8 tokens in 6 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 6 s so far +[strata] done: 8 tokens in 6 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 6 s so far +[strata] done: 8 tokens in 6 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 45 tokens, 6 s so far +[strata] done: 8 tokens in 6 s (381.0 tok/s) (length, cancel=False) +[strata] reading the prompt: 32 of 46 tokens, 6 s so far +[strata] done: 8 tokens in 6 s (381.0 tok/s) (length, cancel=False) +[strata] done: 8 tokens in 6 s (381.0 tok/s) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel requests: 4 asked, the engine runs 2 (its log says why) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (50.0 tok/s) (disconnect, cancel=True) +[strata] thinking: 34 of max 512 tokens, 38.4 tok/s, 1 s[strata] thinking: 30 of max 512 tokens, 49.8 tok/s, 1 s + +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 55 tokens in 1 s (42.1 tok/s) (stop, cancel=False) +[strata] done: 55 tokens in 2 s (49.8 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (26.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 0 tokens in 1 s (no speed) (disconnect, cancel=True) +[strata] thinking: 21 of max 512 tokens, 23.6 tok/s, 1 s +[strata] done: 55 tokens in 2 s (35.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (1/6) (issue #1994) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] answering: 47 of max 64 tokens, 46.8 tok/s, 1 s +[strata] done: 55 tokens in 1 s (47.2 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (1/6) (issue #1994) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (2/6) (issue #1994) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (3/6) (issue #1994) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (4/6) (issue #1994) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (5/6) (issue #1994) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (6/6) (issue #1994) +[strata] parallel: the engine refused slot 1 (BGEN: no such free slot (--batch 2) or a bad max_new); trying another slot (7/6) (issue #1994) +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +[strata] answering: 46 of max 64 tokens, 46.2 tok/s, 1 s +[strata] done: 55 tokens in 1 s (46.7 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] answering: 46 of max 64 tokens, 45.8 tok/s, 1 s +[strata] done: 55 tokens in 1 s (46.4 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] answering: 48 of max 64 tokens, 47.8 tok/s, 1 s +[strata] answering: 47 of max 64 tokens, 49.8 tok/s, 1 s +[strata] done: 55 tokens in 1 s (48.0 tok/s) (stop, cancel=False) +[strata] done: 55 tokens in 1 s (49.8 tok/s) (stop, cancel=False) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel requests: 4 asked, the engine runs 2 (its log says why) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel requests: 4 asked, the engine runs one at a time (its log says why) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] answering: 48 of max 64 tokens, 47.8 tok/s, 1 s +[strata] answering: 47 of max 64 tokens, 49.8 tok/s, 1 s +[strata] done: 55 tokens in 1 s (48.0 tok/s) (stop, cancel=False) +[strata] done: 55 tokens in 1 s (49.8 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel requests: 1 asked, the engine runs one at a time (its log says why) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 9 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +......#2518 retained prefix over 12 branching follow-ups: before 96000 tokens, after 115200 tokens +...[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking: 36 of max 200 tokens, 38.5 tok/s, 1 s +[strata] done: 55 tokens in 1 s (63.9 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped unexpectedly (exit code 1). The engine exited (code 1) after it reported: verify batch: layer 34 never rang (graph finished) - please report it at github.com/Niko1221/Strata/issues with the log. The next request starts the engine again.[strata] the engine stopped unexpectedly (exit code 1). The engine exited (code 1) after it reported: verify batch: layer 34 never rang (graph finished) - please report it at github.com/Niko1221/Strata/issues with the log. The next request starts the engine again. +[strata] done: 4 tokens in 0 s (no speed) (error, cancel=False) + +[strata] done: 1 tokens in 0 s (no speed) (error, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel: slot(s) 0, 1 were marked busy with no request using them (issue #1603); freed, the waiting request goes on +[strata] reading the prompt: 32 of 52 tokens, 1 s so far +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (26.0 tok/s) (stop, cancel=False) +[strata] reading the prompt: 2,560 of 3,037 tokens, 1 s so far +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] loading the model again (it was unloaded) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] answering: 47 of max 200 tokens, 47.2 tok/s, 1 s +[strata] done: 55 tokens in 1 s (62.4 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (243.9 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (476.2 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (25.1 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (25.9 tok/s) (stop, cancel=False) +[strata] reading the prompt: 2,560 of 3,037 tokens, 1 s so far +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] reading the prompt: 2,560 of 3,037 tokens, 2 s so far[strata] answering: 2 of max 64 tokens, 2.4 tok/s, 2 s + +[strata] answering: 5 of max 60 tokens, 2.9 tok/s, 2 s +[strata] done: 10 tokens in 2 s (8.7 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 2 s (no speed) (stop, cancel=False) +[strata] answering: 47 of max 60 tokens, 17.2 tok/s, 3 s +[strata] done: 55 tokens in 3 s (19.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel: slot(s) 0 were marked busy with no request using them (issue #1603); freed, the waiting request goes on +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] answering: 48 of max 200 tokens, 47.8 tok/s, 1 s +[strata] done: 55 tokens in 1 s (62.4 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] answering: 48 of max 200 tokens, 47.8 tok/s, 1 s +[strata] done: 55 tokens in 1 s (48.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] answering: 1 of max 64 tokens, 4.0 tok/s, 1 s +[strata] reading the prompt: 32 of 3,037 tokens, 2 s so far +[strata] answering: 4 of max 64 tokens, 3.7 tok/s, 2 s +[strata] done: 10 tokens in 2 s (7.6 tok/s) (stop, cancel=False) +[strata] answering: 4 of max 64 tokens, 16.0 tok/s, 3 s +[strata] done: 10 tokens in 3 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] answering: 1 of max 64 tokens, 1.2 tok/s, 2 s +[strata] reading the prompt: 2,560 of 3,037 tokens, 3 s so far +[strata] answering: 4 of max 64 tokens, 2.0 tok/s, 3 s +[strata] done: 10 tokens in 3 s (4.8 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 3 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine's logits became non-finite before the first token (#879); it dropped its cached state: sending the request again once +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] the engine's logits became non-finite before the first token (#879); it dropped its cached state: sending the request again once +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] answering: 47 of max 64 tokens, 47.2 tok/s, 1 s +[strata] done: 55 tokens in 1 s (47.5 tok/s) (stop, cancel=False) +[strata] the engine's logits became non-finite after 2 tokens (#879): the reply ends here as "length"; the engine dropped its cached state, so the next request reads its prompt from the start +[strata] done: 2 tokens in 0 s (95.2 tok/s) (length, cancel=False) +[strata] answering: 47 of max 64 tokens, 47.2 tok/s, 1 s +[strata] done: 55 tokens in 1 s (47.6 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] reading the prompt: 2,560 of 3,037 tokens, 2 s so far[strata] answering: 2 of max 64 tokens, 2.4 tok/s, 1 s + +[strata] done: 10 tokens in 2 s (8.7 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 2 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] reading the prompt: 1,344 of 3,037 tokens, 1 s so far +[strata] reading the prompt: 32 of 3,037 tokens, 1 s so far +[strata] done: 10 tokens in 2 s (26.0 tok/s) (stop, cancel=False) +[strata] reading the prompt: 32 of 43 tokens, 2 s so far +[strata] answering: 2 of max 64 tokens, 8.0 tok/s, 2 s +[strata] done: 10 tokens in 2 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 2 s (no speed) (stop, cancel=False) +.............................[strata] answering: 50 of max 64 tokens, 50.8 tok/s, 1 s +[strata] answering: 50 of max 64 tokens, 50.8 tok/s, 1 s +[strata] answering: 50 of max 64 tokens, 50.8 tok/s, 1 s +[strata] done: 51 tokens in 1 s (50.8 tok/s) (stop, cancel=False) +[strata] done: 51 tokens in 1 s (50.8 tok/s) (stop, cancel=False) +[strata] done: 51 tokens in 1 s (50.8 tok/s) (stop, cancel=False) +.[strata] done: 22 tokens in 0 s (no speed) (stop, cancel=False) +................[strata] the config has a "vision" section but no --vision in its args: added --vision (run setup again with --vision to write them) +....[strata] thinking limited to 24386 of max_tokens 32514 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 1 s (no speed) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 1 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 1 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 1 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 1 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 1 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +[strata] done: 1 tokens in 1 s (no speed) (length, cancel=False) +.....[strata] the picture reader /.hermes/cache/scratch/tmpvx237h51/components/engine/0.1.40-x/strata-vision.exe is not there any more; using /.hermes/cache/scratch/tmpvx237h51/components/engine/0.1.54-x/strata-vision.exe from the engine package in use +..[strata] the picture reader /.hermes/cache/scratch/tmpt1xtm3c2/components/engine/0.1.52-x/strata-vision.exe belongs to an older engine; using /.hermes/cache/scratch/tmpt1xtm3c2/components/engine/0.1.54-x/strata-vision.exe from the engine package in use +..[strata] loading the model again (it was unloaded) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine did not start (try 1 of 3); again in 0 s +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine did not start (try 2 of 3); again in 0 s +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] loading the model again (it was unloaded) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine did not start (try 1 of 3); again in 0 s +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine did not start (try 2 of 3); again in 0 s +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] loading the model again (it was unloaded) ... +[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine had stopped (exit code None); starting it again (a minute or two) ... +[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine had stopped (exit code None); starting it again (a minute or two) ... +[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine had stopped (exit code None); starting it again (a minute or two) ... +[strata] starting the engine: reading the model's weights ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +..[strata] repeated reasoning detected at 2048 tokens (coverage=1.000); resuming the same output with the low-effort instruction (reasoning_loop_recovery) +[strata] done: 2086 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] repeated reasoning detected at 2048 tokens (coverage=1.000); resuming the same output with the low-effort instruction (reasoning_loop_recovery) +[strata] done: 2071 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 1 tokens in 0 s (no speed) (cancel, cancel=True) +.[strata] done: 16384 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 28001 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] repeated reasoning detected at 2048 tokens (coverage=1.000); resuming the same output with the low-effort instruction (reasoning_loop_recovery) +[strata] done: 2082 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 28001 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] repeated reasoning detected at 2048 tokens (coverage=1.000); resuming the same output with the low-effort instruction (reasoning_loop_recovery) +[strata] done: 2106 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] repeated reasoning detected at 2048 tokens (coverage=1.000); resuming the same output with the low-effort instruction (reasoning_loop_recovery) +[strata] done: 2086 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] repeated reasoning detected at 2048 tokens (coverage=1.000); resuming the same output with the low-effort instruction (reasoning_loop_recovery) +[strata] done: 16384 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 28001 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] the thinking repeated the same passages (coverage=1.000) at 2560 tokens: ended as "length" (reasoning_loop_recovery: "stop" in strata-.json; remove it to turn this off) +[strata] done: 2560 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] the thinking repeated the same passages (coverage=1.000) at 2048 tokens: ended as "length" (reasoning_loop_recovery: "stop" in strata-.json; remove it to turn this off) +[strata] done: 2048 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +..................[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +.[strata] done: 133 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 133 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 133 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 133 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 133 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 133 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 117 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 117 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 117 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 117 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 117 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 117 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 150 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 150 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 150 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 150 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 150 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 150 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 108 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 108 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 108 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 108 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 108 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 108 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 97 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 97 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 97 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 97 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 97 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 97 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] tool calls inside the thinking: 0 read as calls, 1 kept as reasoning (quoted, or the turn did not end on a stop) +.[strata] done: 134 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 116 tokens in 0 s (no speed) (stop, cancel=False) +.....[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +[strata] done: 121 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool calls inside the thinking: 1 read as calls, 0 kept as reasoning (quoted, or the turn did not end on a stop) +.............[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +......[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (20.2 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (20.2 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (34.2 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (34.1 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +....................[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (132.1 tok/s) (stop, cancel=False), expert cache 88.9% hit +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (132.1 tok/s) (stop, cancel=False), expert cache 88.9% hit +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 98 tokens in 0 s (82.1 tok/s) (cancel, cancel=True), expert cache 88.9% hit +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] the continuation ended without a DONE line. The next request starts the engine again. +[strata] done: 95 tokens in 0 s (100.0 tok/s) (error, cancel=False), expert cache 90.0% hit +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (132.1 tok/s) (stop, cancel=False), expert cache 88.9% hit +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (132.1 tok/s) (stop, cancel=False), expert cache 88.9% hit +.[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 10000) +[strata] done: 211 tokens in 0 s (1055.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +........[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +...[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +...[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +..................s......[strata] 400 invalid request: Expecting property name enclosed in double quotes: line 1 column 2 (char 1) +........................[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again.[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again. + +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine reported an error: refused: images are not enabled +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +[strata] 400 invalid request: refused: images are not enabled +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine reported an error: refused: images are not enabled +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +[strata] 400 invalid request: refused: images are not enabled +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped unexpectedly (exit code -9). The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again. +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped unexpectedly (exit code -9). The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again.[strata] the engine stopped unexpectedly (exit code -9). The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again. +[strata] done: 4 tokens in 0 s (no speed) (error, cancel=False) + +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again. +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel requests: 4 asked, the engine runs one at a time (its log says why) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] parallel requests: 4 asked, the engine runs one at a time (its log says why) +[strata] the engine is running again +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again.[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again.[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again. +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) + + +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again. +[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again.[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False)[strata] the engine stopped while this request waited; it was not sent. The usual cause is running out of RAM: Linux then ends the biggest program (check: sudo dmesg | grep -i -E 'killed process|out of memory'); Windows slows down instead. Close other programs or use a smaller model (Q2_0 / IQ2_XS). The next request starts the engine again. + + +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) +[strata] done: 0 tokens in 1 s (no speed) (error, cancel=False) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 10 tokens in 0 s (50.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (38.1 tok/s) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +.........................................Exception in thread Thread-2601 (spam): +Traceback (most recent call last): + File "/usr/lib/python3.12/threading.py", line 1073, in _bootstrap_inner + self.run() +. File "/usr/lib/python3.12/threading.py", line 1010, in run + self._target(*self._args, **self._kwargs) + File "/strata-0.2.13/serve/test_serve_robustness.py", line 255, in spam + w.write(f"[strata] progress line {i} " + "x" * 40 + "\n") +BrokenPipeError: [Errno 32] Broken pipe +/usr/lib/python3.12/threading.py:1075: ResourceWarning: unclosed file <_io.TextIOWrapper name=10 mode='w' encoding='utf-8'> + self._invoke_excepthook(self) +ResourceWarning: Enable tracemalloc to get the object allocation traceback +./usr/lib/python3.12/threading.py:1014: ResourceWarning: unclosed file <_io.TextIOWrapper name=12 mode='w' encoding='utf-8'> + del self._target, self._args, self._kwargs +ResourceWarning: Enable tracemalloc to get the object allocation traceback +...[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] answering: 4 of max 50 tokens, 4.4 tok/s, 1 s +[strata] done: 7 tokens in 2 s (3.9 tok/s) (stop, cancel=False) +.[strata] answering: 5223 of max 400000 tokens, 5229.4 tok/s, 1 s +[strata] done: 5526 tokens in 2 s (3435.1 tok/s) (disconnect, cancel=True) +....[strata] model unloaded; the next request loads it again +..[strata] refused a request for Host 'rebind.example.com' from 127.0.0.1: not a name this server answers to (add it to "allowed_hosts" in the config or STRATA_ALLOWED_HOSTS, or set an API key) +....[strata] model unloaded; the next request loads it again +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +...........[strata] done: 10 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 10 tokens in 0 s (133.3 tok/s) (length, cancel=False) +[strata] done: 10 tokens in 0 s (no speed) (length, cancel=False) +............[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +.[strata] done: 0 tokens in 1 s (no speed) (cancel, cancel=True) +.[strata] 400 invalid request: tools[0] (f): "parameters" must be an object (the JSON schema of its parameters), not str +[strata] 400 invalid request: tools[0] (f): "parameters" must be an object (the JSON schema of its parameters), not list +[strata] 400 invalid request: tools[0] (f): "parameters" must be an object (the JSON schema of its parameters), not int +[strata] 400 invalid request: tools[0] (f): "input_schema" must be an object (the JSON schema of its parameters), not str +[strata] 400 invalid request: tools[0] (f): "input_schema" must be an object (the JSON schema of its parameters), not list +[strata] 400 invalid request: tools[0] (f): "input_schema" must be an object (the JSON schema of its parameters), not bool +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] 400 invalid request: tools must be a list of tool objects, each {"type": "function", "function": {"name": ..., "parameters": {...}}} +[strata] 400 invalid request: tools must be a list of tool objects, each {"type": "function", "function": {"name": ..., "parameters": {...}}} +[strata] 400 invalid request: tools[0] has no name: each tool must be {"type": "function", "function": {"name": ..., "parameters": {...}}} +[strata] 400 invalid request: tools must be a list of tool objects, each {"type": "function", "function": {"name": ..., "parameters": {...}}} +[strata] 400 invalid request: tools[0] has no name: each tool must be {"type": "function", "function": {"name": ..., "parameters": {...}}} +[strata] 400 invalid request: tools[0] has no name: each tool must be {"type": "function", "function": {"name": ..., "parameters": {...}}} +[strata] 400 invalid request: tools must be a list of tool objects, each {"name": ..., "input_schema": {...}} +[strata] 400 invalid request: tools must be a list of tool objects, each {"name": ..., "input_schema": {...}} +[strata] 400 invalid request: tools[0] has no name: each tool must be {"name": ..., "input_schema": {...}} +[strata] 400 invalid request: tools must be a list of tool objects, each {"name": ..., "input_schema": {...}} +[strata] 400 invalid request: tools[0] has no name: each tool must be {"name": ..., "input_schema": {...}} +[strata] 400 invalid request: tools[0] has no name: each tool must be {"name": ..., "input_schema": {...}} +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 400 invalid request: messages must be a list of objects +[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 400 invalid request: messages must be a list of objects +..[strata] 400 invalid request: No user query found in messages. +[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +........[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +....[strata] done: 10 tokens in 0 s (133.3 tok/s) (length, cancel=False) +[strata] done: 10 tokens in 0 s (133.3 tok/s) (length, cancel=False) +[strata] done: 10 tokens in 0 s (133.3 tok/s) (length, cancel=False), expert cache 90.0% hit +.........[strata] the engine reported an error: verify: layer 31 never rang (an illegal memory access was encountered) +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +[strata] the engine reported an error: verify: layer 31 never rang (an illegal memory access was encountered) +[strata] done: 0 tokens in 0 s (no speed) (error, cancel=False) +.[strata] the engine stopped unexpectedly (exit code -9). The next request starts the engine again. +[strata] done: 5 tokens in 0 s (no speed) (error, cancel=False) +[strata] the engine had stopped (exit code None); starting it again (a minute or two) ... +[strata] the engine is running again +[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: request exceeds the context window: prompt (4088 tokens) leaves no room to answer in the context (4096); requests are never truncated +.[strata] max_tokens 4096 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] max_tokens 4096 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 135 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: lookup; the response carries them as strata_rejected_tool_calls, /metrics counts them +[strata] done: 135 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: lookup; the response carries them as strata_rejected_tool_calls, /metrics counts them +[strata] done: 135 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: lookup; the response carries them as strata_rejected_tool_calls, /metrics counts them +[strata] done: 135 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: lookup; the response carries them as strata_rejected_tool_calls, /metrics counts them +[strata] done: 135 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: lookup; the response carries them as strata_rejected_tool_calls, /metrics counts them +[strata] done: 135 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: lookup; the response carries them as strata_rejected_tool_calls, /metrics counts them +.[strata] done: 88 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 88 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 119 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 119 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 125 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: execute_gdscript; the response carries them as strata_rejected_tool_calls, /metrics counts them +[strata] done: 125 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: execute_gdscript; the response carries them as strata_rejected_tool_calls, /metrics counts them +.[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool_choice {"type": "tool", "name": "nope"} is not supported here (or names no tool of the request): the model decides, as with "auto" +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool_choice {"type": "tool", "name": "nope"} is not supported here (or names no tool of the request): the model decides, as with "auto" +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 27 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 27 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 96 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 96 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 113 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: bash; the response carries them as strata_rejected_tool_calls, /metrics counts them +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 181 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 272 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 125 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 125 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 61 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] tool_choice {"type": "function", "function": {"name": "nope"}} is not supported here (or names no tool of the request): the model decides, as with "auto" +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool_choice {"type": "function"} is not supported here (or names no tool of the request): the model decides, as with "auto" +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool_choice "required" is not supported here (or names no tool of the request): the model decides, as with "auto" +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool_choice {"type": "banana"} is not supported here (or names no tool of the request): the model decides, as with "auto" +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +[strata] tool_choice "sometimes" is not supported here (or names no tool of the request): the model decides, as with "auto" +[strata] done: 203 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 74 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 74 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 56 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 56 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] layer split: card order 2,0 (the faster card last; "gpu_order": "as_given" keeps 0,2, #1352) +[strata] layer split: card order 2,0 (the faster card last; "gpu_order": "as_given" keeps 0,2, #1352) +[strata] layer split: card order 2,0 (the faster card last; "gpu_order": "as_given" keeps 0,2, #1352) +[strata] layer split: card order 0,2,1 (the faster card last; "gpu_order": "as_given" keeps 0,1,2, #1352) +[strata] layer split: keeping card order 0,1 - the faster card has less VRAM than the one the split ends on (12288 vs 22528 MiB, #1576) +[strata] layer split: card order 1,0 (the faster card last; "gpu_order": "as_given" keeps 0,1, #1352) +[strata] layer split: card order 1,0 (the faster card last; "gpu_order": "as_given" keeps 0,1, #1352) +[strata] layer split: card order 1,0 (the faster card last; "gpu_order": "as_given" keeps 0,1, #1352) +[strata] layer split: keeping card order 0,1,2 - the faster card has less VRAM than the one the split ends on (12288 vs 24576 MiB, #1576) +..[strata] layer split: card order 0,1 (GPU 0 is built-in graphics: it takes the first layers, never the last stage; "gpu_order": "as_given" keeps 1,0) +.[strata] layer split: card order 0,1 (GPU 0 is built-in graphics: it takes the first layers, never the last stage; "gpu_order": "as_given" keeps 1,0) +[strata] layer split: card order 0,1 (GPU 0 is built-in graphics: it takes the first layers, never the last stage; "gpu_order": "as_given" keeps 1,0) +[strata] layer split: card order 0,2,1 (GPU 0 is built-in graphics: it takes the first layers, never the last stage; "gpu_order": "as_given" keeps 1,0,2) +[strata] layer split: card order 0,1,2 (GPU 0 is built-in graphics: it takes the first layers, never the last stage; "gpu_order": "as_given" keeps 1,0,2) +[strata] layer split: card order 1,0 (the faster card last; "gpu_order": "as_given" keeps 0,1, #1352) +....[strata] the picture reader runs on GPU 1, not on the built-in graphics (GPU 0) that draws the desktop; "vision": {"cuda_device": N} chooses another card +..[strata] done: 54 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +..strata serve: AMD: HIP_PATH=Z:\definitely\not\here does not exist: not passed to the engine +.strata serve: AMD: HIP_PATH=/.hermes/cache/scratch/tmpdpak9op_/TheRock/build does not exist: not passed to the engine +strata serve: AMD: HIP_DEVICE_LIB_PATH=/.hermes/cache/scratch/tmpdpak9op_/TheRock/build does not exist: not passed to the engine +.strata serve: AMD: TEMP=/.hermes/cache/scratch/tmp0wk1j8_9/no/such/dir is not writable: using /.hermes/cache/scratch/tmp0wk1j8_9/tmp +.[strata] a picture a tool returned was left out of the prompt: this server has no image encoder +[strata] a picture a tool returned was left out of the prompt: this server has no image encoder +[strata] a picture a tool returned was left out of the prompt: this image format needs Pillow +[strata] a picture a tool returned was left out of the prompt: the image URL could not be read +....[strata] refused an API request from the web page 'https://evil.example' (no API key; add its host to "allowed_hosts" or its origin to "cors_origins" in the config) +[strata] 400 invalid request: a web page of another origin cannot have a file on this computer read as an image: send it as a data: URL (or add the page's origin to the config's trusted_origins) +[strata] 400 invalid request: a web page of another origin cannot have a file on this computer read as an image: send it as a data: URL (or add the page's origin to the config's trusted_origins) +[strata] 400 invalid request: a web page of another origin cannot have a file on this computer read as an image: send it as a data: URL (or add the page's origin to the config's trusted_origins) +[strata] 400 invalid request: a web page of another origin cannot have a file on this computer read as an image: send it as a data: URL (or add the page's origin to the config's trusted_origins) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +.......[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +....[strata] done: 32 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 32 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 32 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 32 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 32 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 32 tokens in 0 s (no speed) (stop, cancel=False) +.............................[strata] the engine stopped unexpectedly (exit code -9). The next request starts the engine again. +[strata] done: 3 tokens in 0 s (no speed) (error, cancel=False) +..[strata] done: 30 tokens in 1 s (51.5 tok/s) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine said nothing for 1 s during the request; the server ended the engine. The engine and the server lost step (issue #481; a very slow PC can raise "engine_silence_s" in the config, 0 = wait forever). If it happens again, please add the end of the engine log to github.com/Niko1221/Strata/issues/481. The next request starts the engine again. +[strata] done: 1 tokens in 1 s (2.0 tok/s) (error, cancel=False) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 2 tokens in 0 s (2000.0 tok/s) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine said nothing for 1 s during the request; the server ended the engine. The engine and the server lost step (issue #481; a very slow PC can raise "engine_silence_s" in the config, 0 = wait forever). If it happens again, please add the end of the engine log to github.com/Niko1221/Strata/issues/481. The next request starts the engine again. +[strata] done: 1 tokens in 1 s (2.0 tok/s) (error, cancel=False) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 2 tokens in 0 s (2000.0 tok/s) (length, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine did not finish the request after it was stopped (STOP) within 0 s; the server ended the engine. The engine and the server lost step (issue #481; a very slow PC can raise "engine_silence_s" in the config, 0 = wait forever). If it happens again, please add the end of the engine log to github.com/Niko1221/Strata/issues/481. The next request starts the engine again. +[strata] done: 2 tokens in 1 s (4.0 tok/s) (error, cancel=False) +[strata] the engine had stopped (exit code -9); starting it again (a minute or two) ... +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine is running again +[strata] done: 2 tokens in 0 s (2000.0 tok/s) (length, cancel=False) +.....[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: request exceeds the context window: prompt (4146 tokens) leaves no room to answer in the context (4096); requests are never truncated +[strata] 400 invalid request: prompt is too long: 4146 tokens > 4087 maximum; request exceeds the context window: prompt (4146 tokens) leaves no room to answer in the context (4096); requests are never truncated +..[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] max_tokens 3843 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] max_tokens 3843 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] max_tokens 3843 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +..[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 50 tokens in 0 s (no speed) (length, cancel=False) +[strata] thinking limited to 988 of max_tokens 1500 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 1500 tokens in 0 s (no speed) (length, cancel=False) +[strata] thinking limited to 988 of max_tokens 1500 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 1500 tokens in 0 s (no speed) (length, cancel=False) +.[strata] max_tokens 4096 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] max_tokens 4096 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] max_tokens 4096 shortened to 3842: the prompt (246 tokens) leaves that much of the context (4096); "fit_max_tokens": false answers 400 instead +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] 400 invalid request: request exceeds the context window: prompt (246 tokens) + max tokens (4096) exceeds the context (4096); requests are never truncated. Send a smaller max_tokens (at most 3842 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +[strata] 400 invalid request: input length and `max_tokens` exceed context limit: 246 + 4096 > 4088; request exceeds the context window: prompt (246 tokens) + max tokens (4096) exceeds the context (4096); requests are never truncated. Send a smaller max_tokens (at most 3842 here), or add "fit_max_tokens": true to the model's strata-.json to shorten it to the room left (#545) +..[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 2011 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: request exceeds the context window: prompt (4088 tokens) leaves no room to answer in the context (4096); requests are never truncated +[strata] done: 1 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] 400 invalid request: prompt is too long: 4088 tokens > 4087 maximum; request exceeds the context window: prompt (4088 tokens) leaves no room to answer in the context (4096); requests are never truncated +..[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 8 tokens in 0 s (no speed) (length, cancel=False) +...................[strata] the config has a "vision" section but no --vision in its args: added --vision and --vram-reserve-mib 700 (run setup again with --vision to write them) +[strata] the config has a "vision" section but no --vision in its args: added --vision (run setup again with --vision to write them) +[strata] the config has a "vision" section but no --vision in its args: added --vision (run setup again with --vision to write them) +........[strata] done: 10 tokens in 0 s (20.0 tok/s) (length, cancel=False) +.[strata] done: 10 tokens in 0 s (20.0 tok/s) (length, cancel=False) +[strata] done: 10 tokens in 0 s (20.0 tok/s) (length, cancel=False) +.[strata] done: 40 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 40 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +....[strata] done: 18 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 28 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] the reply ended inside its thinking with no answer: closing the thinking once and continuing (reasoning_close_retry) +[strata] done: 64 tokens in 0 s (no speed) (stop, cancel=False) +....[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +/usr/lib/python3.12/unittest/case.py:589: ResourceWarning: unclosed + if method() is not None: +ResourceWarning: Enable tracemalloc to get the object allocation traceback +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] the engine did not start (try 1 of 3); again in 0 s +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +............[strata] other apps now use the Chat settings: temperature=0.3 +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 16 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] other apps use their own settings again +.[strata] other apps now use the Chat settings: temperature=0.3 +[strata] other apps use their own settings again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 16 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] other apps now use the Chat settings: temperature=1.0 +.[strata] other apps now use the Chat settings: temperature=0.3, top_p=0.9, top_k=10, seed=7, max_tokens=77, reasoning_effort=low, experimental_speed_projection=False +[strata] done: 16 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +..[strata] other apps now use the Chat settings: temperature=1.0 +.[strata] model unloaded; the next request loads it again +[strata] the engine is not running but its picture encoder is: stopping the encoder to give its memory back +.[strata] model unloaded; the next request loads it again +[strata] before loading: /strata-0.2.13/.venv/bin/python -c import sys; sys.exit(1) +[strata] the before_load command failed (it exited with code 1); loading anyway +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] model unloaded; the next request loads it again +[strata] before loading: /strata-0.2.13/.venv/bin/python -c open('/.hermes/cache/scratch/tmp29lar_7q/ran', 'w').close() +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] model unloaded; the next request loads it again +[strata] before loading: /strata-0.2.13/.venv/bin/python -c import sys; sys.exit(7) +[strata] the before_load command failed (it exited with code 7); the model stays unloaded and this request is answered 503 - try again (before_load_strict) +.[strata] model unloaded; the next request loads it again +[strata] before loading: /strata-0.2.13/.venv/bin/python -c import time; time.sleep(30) +[strata] the before_load command failed (it did not finish in 0.5 s (before_load_timeout_s)); the model stays unloaded and this request is answered 503 - try again (before_load_strict) +.[strata] model unloaded; the next request loads it again +[strata] before loading: /strata-0.2.13/.venv/bin/python -c import sys; sys.exit(7) +[strata] the before_load command failed (it exited with code 7); checking the free VRAM +[strata] the before_load command failed (it exited with code 7), but 20000 MiB of VRAM is free: loading +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] model unloaded; the next request loads it again +[strata] before loading: /strata-0.2.13/.venv/bin/python -c import sys; sys.exit(3) +[strata] the before_load command failed (it exited with code 3); checking the free VRAM +[strata] the before_load command failed (it exited with code 3) and only 2000 MiB of VRAM is free (the model needs 8000): not loading; 503 +[strata] before loading: /strata-0.2.13/.venv/bin/python -c import sys; sys.exit(3) +[strata] the before_load command failed (it exited with code 3); checking the free VRAM +[strata] the before_load command failed (it exited with code 3), but 20000 MiB of VRAM is free: loading +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] model unloaded; the next request loads it again +[strata] before loading: /strata-0.2.13/.venv/bin/python -c import sys; sys.exit(7) +[strata] the before_load command failed (it exited with code 7); loading anyway (set min_free_vram_mib to have the free VRAM checked, or before_load_strict to refuse) +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] the model unloads after 1 s without requests +[strata] model unloaded after 1 s idle; the next request loads it again +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] model unloaded; the next request loads it again +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +.[strata] model unloaded; the next request loads it again +[strata] model unloaded after 1 s idle; the next request loads it again +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] model unloaded; the next request loads it again +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] model unloaded; the next request loads it again +[strata] the engine is not running but its picture encoder is: stopping the encoder to give its memory back +[strata] starting the vision encoder ... +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] model unloaded; the next request loads it again +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] model unloaded; the next request loads it again +.[strata] model unloaded; the next request loads it again +[strata] the engine is not running but its picture encoder is: stopping the encoder to give its memory back +.[strata] model unloaded; the next request loads it again +[strata] starting the vision encoder ... +[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] the engine has said nothing for 1 s but is still working; it is not ended (the limit is engine_silence_s). If it is stuck, "engine_silence_s" can be set lower. +...[strata] the engine has said nothing for 1 s but is still working; it is not ended (the limit is engine_silence_s). If it is stuck, "engine_silence_s" can be set lower. +................[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +....[strata] done: 15 tokens in 0 s (no speed) (disconnect, cancel=False) +[strata] done: 20 tokens in 0 s (no speed) (length, cancel=False) +..[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] 400 invalid request: stop takes at most 4 strings +[strata] 400 invalid request: stop must be a string or a list of strings +[strata] 400 invalid request: stop_sequences must be a list of strings +[strata] 400 invalid request: stop_sequences must be a list of strings +.[strata] done: 19 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 36 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 29 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 24 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] 400 invalid request: reasoning_budget_tokens='lots': expected a whole number of tokens (0: no budget) +[strata] 400 invalid request: reasoning_budget_tokens=2.5: expected a whole number of tokens (0: no budget) +[strata] 400 invalid request: reasoning_budget_tokens=True: expected a whole number of tokens (0: no budget) +[strata] 400 invalid request: reasoning_budget_tokens=[1]: expected a whole number of tokens (0: no budget) +..[strata] thinking capped at 200 of max_tokens 400 to leave room for the answer (budget 10000) +[strata] done: 211 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] thinking limited to 512 of max_tokens 1024 so the answer has room ("answer_room": false in the config turns this off) +[strata] thinking budget reached (512 tokens): wrapping up the thinking +[strata] done: 604 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 211 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 108 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking budget reached (30 tokens): wrapping up the thinking +[strata] done: 122 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking budget reached (30 tokens): wrapping up the thinking +[strata] done: 122 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking budget reached (10 tokens): wrapping up the thinking +[strata] done: 102 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 20 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 211 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 300 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 1024 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +[strata] done: 17 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] thinking budget reached (20 tokens): wrapping up the thinking +[strata] done: 112 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 211 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] done: 17 tokens in 0 s (no speed) (stop, cancel=False) +........................[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 119 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 134 tokens in 0 s (no speed) (length, cancel=False) +.[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 120 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 147 tokens in 0 s (no speed) (stop, cancel=False) +...[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 165 tokens in 0 s (no speed) (stop, cancel=False) +..[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +...[strata] done: 13 tokens in 0 s (50.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +...[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +.[strata] done: 13 tokens in 0 s (50.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +.[strata] done: 13 tokens in 0 s (50.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +..[strata] done: 13 tokens in 0 s (50.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +[strata] done: 13 tokens in 0 s (50.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +.[strata] thinking limited to 2882 of max_tokens 3842 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 13 tokens in 0 s (50.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +.[strata] done: 13 tokens in 0 s (50.0 tok/s) (stop, cancel=False), expert cache 90.0% hit +.............[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +[strata] the reply reached max tokens while still thinking, so it has no answer: a thinking budget (reasoning_budget_tokens, in the request or in strata-.json for every request) leaves room to answer +............[strata] SAVE waiting for RAM after cache reclaim: need=1125 MiB, limit=30s; floor unchanged +.[strata] SAVE waiting for RAM after cache reclaim: need=1125 MiB, limit=30s; floor unchanged +...........[strata] short-answer depth: spec 4 (max_tokens 16) +.[strata] short-answer depth: spec 4 (max_tokens 8) +...[strata] short-answer depth: spec 4 (max_tokens 8) +....[strata] short-answer depth: spec 4 when max_tokens <= 8 +.[strata] short-answer depth: spec 4 (max_tokens 8) +................................................[strata] spec window: 8 unless the prompt is retrieval-shaped (>= 1000 tokens and a question) +..........................................[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 18 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 34 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 23 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 16 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 20 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 19 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 4 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 2 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 8 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +..[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 9 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +[strata] done: 17 tokens in 0 s (100.0 tok/s) (stop, cancel=False) +.....[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +.[strata] done: 255 tokens in 0 s (no speed) (stop, cancel=False) +[strata] thinking limited to 10991 of max_tokens 14654 so the answer has room ("answer_room": false in the config turns this off) +[strata] done: 282 tokens in 0 s (no speed) (stop, cancel=False) +.ss.[strata] done: 43 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 43 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 43 tokens in 0 s (no speed) (stop, cancel=False) +[strata] structured output: repaired backslashes that were not valid JSON escapes +[strata] done: 43 tokens in 0 s (no speed) (stop, cancel=False) +[strata] structured output: repaired backslashes that were not valid JSON escapes +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 21 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 15 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +.[strata] 400 invalid request: response_format must be an object +[strata] 400 invalid request: response_format.type must be text, json_object or json_schema +[strata] 400 invalid request: response_format.json_schema needs a name +[strata] 400 invalid request: response_format.json_schema.strict must be boolean +[strata] 400 invalid request: structured response_format with tools/MCP is not supported +[strata] 400 invalid request: structured response_format with tools/MCP is not supported +[strata] 400 invalid request: send a JSON object +.[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 3 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 10 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 14 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 12 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 15 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 6 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 15 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 32 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 5 tokens in 0 s (no speed) (length, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] 400 invalid request: response_format.json_schema needs a schema object +[strata] done: 21 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 40 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 40 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 40 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 40 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 40 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +[strata] 400 invalid request: response_format schema must accept only JSON objects at its root (type object, or anyOf/oneOf of object schemas) +...[strata] done: 255 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 26 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 13 tokens in 0 s (no speed) (stop, cancel=False) +..................................................................................................[strata] done: 130 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 130 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 130 tokens in 0 s (no speed) (stop, cancel=False) +.[strata] done: 130 tokens in 0 s (no speed) (stop, cancel=False) +[strata] 1 block(s) in the answer did not read as a call of a declared tool and went back as text (a name the request did not declare, or a form the template does not use); the names the model wrote: mcp__plugin_ctx__ctx_search; the response carries them as strata_rejected_tool_calls, /metrics counts them +.....[strata] VRAM: 4000 MiB free, expert cache 2000 of 6000 MiB (100 experts) +[strata] images: the expert cache keeps 2048 MiB free for the image encoder (500 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +[strata] VRAM: 3048 MiB free, expert cache 2952 of 6000 MiB (952 experts) +[strata] images: the image encoder stopped after 60 s without a picture; the expert cache took its VRAM back (5000 of 6000 MiB) +.[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder stopped after 60 s without a picture; the expert cache took its VRAM back (6000 of 6000 MiB) +.[strata] images: the expert cache did not make room for the image encoder (VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve)); starting it anyway +[strata] images: the image encoder started in 0.0 s +[strata] images: the image encoder stopped after 60 s without a picture +.[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +[strata] images: the image encoder stopped after 60 s without a picture; the expert cache took its VRAM back (6000 of 6000 MiB) +[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +.[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +[strata] model unloaded; the next request loads it again +..[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +..[strata] images: the expert cache did not make room for the image encoder (VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve)); starting it anyway +[strata] images: the image encoder started in 0.0 s +....[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] the GPU picture reader did not start (cudaMalloc failed: out of memory); pictures are read on the CPU until it is idle +[strata] images: the image encoder started in 0.0 s, on the CPU +[strata] images: the image encoder stopped after 120 s without a picture +[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +.[strata] the GPU picture reader did not start (no kernel image); pictures are read on the CPU +...[strata] images: the expert cache did not make room for the image encoder (VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve)); starting it anyway +[strata] images: the image encoder started in 0.0 s, 0 MiB of VRAM +[strata] images: the expert cache did not make room for the image encoder (VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve)); starting it anyway +[strata] images: the image encoder started in 0.0 s +.[strata] images: the expert cache did not make room for the image encoder (VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve)); starting it anyway +/strata-0.2.13/serve/lifeline.py:59: ResourceWarning: unclosed file <_io.TextIOWrapper name=14 encoding='utf-8'> + fn, future = self._jobs.get() +ResourceWarning: Enable tracemalloc to get the object allocation traceback +/strata-0.2.13/serve/lifeline.py:59: ResourceWarning: unclosed file <_io.TextIOWrapper name=15 encoding='utf-8'> + fn, future = self._jobs.get() +ResourceWarning: Enable tracemalloc to get the object allocation traceback +.[strata] images: the expert cache did not make room for the image encoder (VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve)); starting it anyway +.[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] images: the expert cache did not make room for the image encoder (VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve)); starting it anyway +[strata] images: the image encoder started in 0.0 s +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +[strata] done: 7 tokens in 0 s (no speed) (stop, cancel=False) +................[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +.[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] a picture a tool returned was left out of the prompt: the image encoder failed to start: the vision encoder did not start: it ended without saying anything (exit code 1) +..[strata] images: the expert cache keeps 2048 MiB free for the image encoder (3952 of 6000 MiB left) +[strata] images: the image encoder started in 0.0 s +......[strata] 400 invalid request: VRAM needs an engine started with --vram-elastic (one NVIDIA GPU, --serve) +.[strata] 400 invalid request: reserve_mib: a whole number of MiB (0 or more), or null for the start's +[strata] 400 invalid request: reserve_mib: a whole number of MiB (0 or more), or null for the start's +[strata] 400 invalid request: reserve_mib: a whole number of MiB (0 or more), or null for the start's +[strata] 400 invalid request: reserve_mib: a whole number of MiB (0 or more), or null for the start's +[strata] refused an API request from the web page 'https://other.example' (no API key; add its host to "allowed_hosts" or its origin to "cors_origins" in the config) +.[strata] VRAM: 4000 MiB free, expert cache 2000 of 6000 MiB (100 experts) +[strata] VRAM: 700 MiB free, expert cache 5300 of 6000 MiB (3300 experts) +.[strata] loading the model again (it was unloaded) ... +[strata] the engine is running again +................s.............................s.............sss[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +/strata-0.2.13/serve/lifeline.py:59: ResourceWarning: unclosed file <_io.TextIOWrapper name=14 encoding='utf-8'> + fn, future = self._jobs.get() +ResourceWarning: Enable tracemalloc to get the object allocation traceback +/strata-0.2.13/serve/lifeline.py:59: ResourceWarning: unclosed file <_io.TextIOWrapper name=15 encoding='utf-8'> + fn, future = self._jobs.get() +ResourceWarning: Enable tracemalloc to get the object allocation traceback +[strata] done: 10 tokens in 0 s (25.9 tok/s) (stop, cancel=False) +[strata] answering: 25 of max 60 tokens, 24.9 tok/s, 1 s +[strata] reading the prompt: 2,944 of 3,037 tokens, 1 s so far +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +[strata] done: 55 tokens in 2 s (33.0 tok/s) (stop, cancel=False) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 0 s (no speed) (cancel, cancel=True) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 0 tokens in 0 s (no speed) (cancel, cancel=True) +.[strata] engine priority: nice +5 (this PC has built-in Radeon graphics that usually draw the desktop; STRATA_ENGINE_NICE=0 turns it off) +[strata] done: 10 tokens in 0 s (25.9 tok/s) (stop, cancel=False) +[strata] answering: 2 of max 64 tokens, 8.0 tok/s, 1 s +[strata] done: 10 tokens in 1 s (no speed) (stop, cancel=False) +. +---------------------------------------------------------------------- +Ran 1537 tests in 631.851s + +OK (skipped=17)