fix(core): make deploy fail on an agent that cannot start, with its log - #179
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The container wrote "healthy" to its status key 40 lines before it tried to load the agent, `_load_agent` swallowed every failure into a log line plus None, and the process stayed up. The heartbeat then republished a literal "healthy" on every beat, so even an explicit mark_failed() was erased within one interval. A container whose adapter could not import was therefore ready forever: `deploy` printed "N agent(s) ready" and the first request came back "No agent loaded". The status now starts as "starting" and is held in memory; mark_ready() and mark_failed() move it, and both the metrics hash and the heartbeat republish whatever it actually is. Publishing moves after the load. A declared agent that did not load is fatal: the container marks failed, logs the cause, stops the gRPC server and the LLM proxy, and exits 1, so the failure is visible where it happened instead of at the first request. An agentless workflow container, where None is not a failure, still marks ready, and publish_ready=False is untouched -- the generated launcher owns readiness there, and its watcher now marks failed when the API port never opens instead of leaving the container in limbo. `_load_agent` logs with logger.exception so the traceback naming the failed import is in the container log, not just the exception's repr. Ports #149 and #151 from the end-to-end-test branch.
`_wait_for_healthy` polled for 30s, logged a warning per replica that had not come up and returned, so the global controller started anyway and deploy went on to announce a workflow whose agents were dead. It also never read a container's log, so the cause -- an adapter's ModuleNotFoundError, in the case that prompted this -- stayed inside the container nobody ever looked at. Readiness is now fatal. A replica that publishes "failed" ends the wait immediately rather than costing the deploy the rest of its timeout, and anything still short of "healthy" when the deadline passes counts too, "starting" and absent alike. Before any teardown -- cleanup() is atexit and runs `docker rm -f` -- the last 40 lines of each such container's log are dumped under a header naming the agent, its endpoint and its status, so the traceback is in the deploy's own output. One CRITICAL summary naming every controller and its status comes last, then exit 1, as launch_docker_agents already did. The timeout goes from 30s to 120s: it was tuned when it was survivable, and a cold start importing a heavy adapter needs the room now that overrunning it kills the deploy. The per-replica "is ready." line is unchanged; the deploy CLI parses it. Ports the fail-unhealthy-deploy branch.
Two gaps left a readiness failure invisible from the host. `_tail_verbose` had no error detection at all, so `canyonos deploy -v` echoed the CRITICAL line and then returned a summary: whether a broken deploy exited 1 depended on the verbosity flag. It now feeds the same PhaseTracker the quiet tail uses and aborts on a fatal line. The quiet tail's replay buffer also held only 200 lines, which the global controller's new per-container log dump can overrun -- the dump is the only place the real cause appears, so it has to survive to the replay. 400 holds a buildx failure block, a Python traceback and the dump. Ports the fail-unhealthy-deploy branch.
`_die_unloadable` published the failed status as its first, unguarded statement, so a Redis that had gone away took the whole exit path with it: no CRITICAL line naming the agent, no gRPC stop, no proxy kill, and a container left listening to answer "No agent loaded". The cause is logged first and publishing is best effort; the teardown runs either way. `stop()` also wrote "stopped" straight to the key, past the status the controller holds. All three transitions now go through one publisher, so the heartbeat cannot republish a status that has already moved on.
Three faults in the readiness dump. `docker logs <runtime_id>` is only right for local replicas: EC2's runtime id is `<container name>--<ec2 instance id>`, because terminating a replica there means terminating the host, and `--name` only ever got the first part. EC2 records also carry no `user`, so the remote read would ssh without one. And a non-zero `docker logs` had its stderr dumped as though docker's complaint were the agent's output. Each provider now says what `docker` calls its containers, the ssh user falls back to the deploy config the EC2 runtime itself reads, and a refused read is reported as one line. The dump is bracketed by `--- begin container log:` / `--- end container log:` sentinels, emitted whatever happens in between, so a reader can tell the quoted output from the deploy's own. The teardown before the summary is the full `stop()`: `_stop_docker_agents()` alone left the supervised processes running, and the atexit `cleanup()` returns early once nothing is tracked. A replica that published "stopped" is terminal too, so the wait ends on it as it does on "failed" instead of sitting out the timeout.
…lure `PhaseTracker.feed` matches `_ERROR_MARKERS` as a substring anywhere in a line, at any level. A dumped container log is full of them -- the agent's own `ERROR:` lines and `Traceback (most recent call last):` -- so the transcript died on the second line of the block: `-v` returned before the traceback and the summary ever printed, showing less than quiet mode, and quiet mode pinned a Root Cause quoting a line rather than naming the dead replica. The tracker now follows the global controller's sentinels and matches nothing between them. Lines inside are still printed and buffered; the CRITICAL summary after the block is the trigger for both tails. Tests: the three added earlier all passed unmodified against main. Each now pins the behaviour that changed -- which line first trips the error path, that `-v` stops before the up-marker it used to run on to, and that a five-replica dump behind a long build survives to the replay with the verdict, not a quoted line, as the cause.
Three ways the readiness verdict could still come from the wrong place.
The up-marker check sat outside `tracker.feed()`, so unlike the error
markers it was not suppressed inside a quoted container log: an agent
that logged "Global controller started, polling every" would have had it
read back as this deploy coming up. Both tails now gate it on the same
in-block state.
`_ssh_user_for` read `self.config.get("ec2", {})`, which is None for a
bare `ec2:` key in the YAML, not {}.
And nothing cleared `controller:<endpoint>:status` at launch. The key has
no TTL, a redeploy reuses the same Redis and the same endpoints, and a
container removed as stale leaves its record behind -- so the wait could
read a "healthy" from a replica that died in an earlier run, the exact
false positive it exists to catch. Every known endpoint is cleared before
anything is launched, so the only statuses the wait can see are this
run's.
A status key never outlives the instance record it belongs to. The key has no TTL and endpoints are derived from the container name, so one left behind after a replica is removed is inherited by the next replica to land on that endpoint and read as its health. `remove_instance` now drops it, before `_destroy_runtime` -- on EC2 that terminates the host the key lives on and takes the node's Redis client with it -- and guarded, so a node whose Redis has already gone cannot break the teardown it is part of. This closes the gap `_clear_stale_statuses` cannot see: it only reaches endpoints that still have a record.
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Navigate logical layers of code changes, visualize relationships, and explore their blast radius. 📝 WalkthroughWalkthroughThe change adds explicit controller status transitions, readiness failure teardown, container-log collection, stale-status cleanup, and CLI handling for quoted container logs. Tests cover controller lifecycle, deployment readiness, teardown, log replay, and CLI failure exits. ChangesDeployment readiness and failure reporting
Priority: ➖ Normal Estimated code review effort: 4 (Complex) | ~45 minutes Change: Bug fix Sequence Diagram(s)sequenceDiagram
participant DeployCLI
participant GlobalController
participant Redis
participant LocalController
DeployCLI->>GlobalController: start deployment
GlobalController->>Redis: clear stale status keys
LocalController->>Redis: publish controller status
GlobalController->>Redis: poll readiness status
GlobalController->>DeployCLI: emit readiness result and container logs
Suggested reviewers: Merge Risk: 🟡 Moderate · up to Broken or not-yet-started deployments can be reported as ready under reachable failure conditions. Fix these readiness-state boundaries before merging. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches 💡 1📝 Generate docstrings 💡
🧪 Generate unit tests (beta)
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Inline comments:
In `@packages/cli/canyonos/deploy.py`:
- Around line 126-130: Update the sentinel handling around _CONTAINER_LOG_BEGIN
and _CONTAINER_LOG_END to extract the formatted log message first, then require
each sentinel to start that message rather than matching anywhere in the full
line. Preserve the existing state changes and return behavior after the
boundary-anchored checks.
In `@packages/core/canyonos_core/controller/global_controller.py`:
- Around line 1076-1077: Make status cleanup fail closed at both call sites:
update _clear_stale_statuses to re-raise cleanup exceptions after logging, and
update _delete_controller_status to return False on deletion failure and True on
success. Ensure callers abort or retry when cleanup fails, and retain the
instance record in Redis rather than removing it when _delete_controller_status
fails.
In `@packages/core/canyonos_core/controller/local_controller.py`:
- Line 160: Update _agent_declared() to return true when either agent_name or
agent_file is set, so partial declarations are rejected while both absent
remains valid. Apply the declaration validation before the _publish_ready branch
in the launcher flow, ensuring publish_ready=False also calls _die_unloadable()
before mark_ready().
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📒 Files selected for processing (14)
packages/cli/canyonos/deploy.pypackages/cli/tests/test_canyonos_deploy.pypackages/cli/tests/test_deploy_progress.pypackages/core/canyonos_core/controller/cloud_provider_logic/EC2/_runtime.pypackages/core/canyonos_core/controller/cloud_provider_logic/Local/_runtime.pypackages/core/canyonos_core/controller/global_controller.pypackages/core/canyonos_core/controller/instance_manager.pypackages/core/canyonos_core/controller/local_controller.pypackages/core/canyonos_core/stub_generator.pypackages/core/tests/test_global_controller_readiness.pypackages/core/tests/test_instance_manager_runtime.pypackages/core/tests/test_local_controller_metrics.pypackages/core/tests/test_local_controller_readiness.pypackages/core/tests/test_stub_generator.py
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The sentinels were found anywhere in the line, so a quoted payload line that merely contained "--- end container log:" closed the block early, and every quoted line after it -- ERROR lines, a traceback, even a quoted up-marker -- was read as this deploy speaking. They now count only at the start of the `LEVEL:logger:message` message. The global controller indents every payload line, so quoted text can never pose as a sentinel.
`_clear_stale_statuses` only reached endpoints that still had a record, and `remove_instance` deletes the key best effort, so a key that survived its record -- same deterministic local endpoint, reused next run -- still reached the readiness wait as the new container's "healthy". The guarantee now lives at launch: the local runtime deletes the status key for the endpoint it is about to own, on that host's node Redis, as the last step before `docker run` and after any orphan under the same name is removed. A delete that fails aborts the launch with a clear error and no container started -- a deploy that cannot clear stale state must not proceed. EC2 is skipped: a fresh host runs its own empty Redis. `remove_instance` keeps its best-effort delete as hygiene; teardown is never blocked by a flaky node Redis.
`_agent_declared()` took main's OR in the merge: only both CANYONOS_AGENT_NAME and CANYONOS_AGENT_FILE absent means agentless. With AND, a container given only one of them was read as agentless and published "healthy" with no agent behind it. Covers both halves, and that the fatal path stays scoped to publish_ready=True, where the container owns its own readiness.
`doctor.py` still imported `REDIS_PORT` from `dashboard_stack`, which #141 removed when the local Redis port became configurable, so `import cli` failed and the `canyonos` entry point could not start at all. The Redis check now resolves the port the way `dashboard_stack` does, `local_redis_port(default_config_path())`: the host port the local node's Redis is actually published on. The hint names that port instead of a hardcoded 6379. A new test imports `cli` in a fresh interpreter, so the entry point cannot break again unnoticed; inside the suite, another test's imports had let the broken one pass.
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What was done
A deploy whose agent cannot start now fails right away and shows the real cause, instead of reporting success.
This PR used #170 and #173 as reference material and should rebase if those PRs are merged.
Details
Part of #164 (step 2b). Before: the agent container wrote
healthybefore loading the adapter, a failed load only logged and the process stayed alive, the heartbeat rewrotehealthyevery tick, socanyonos deployprinted "N agent(s) ready", exited 0, and the first request answeredNo agent loaded.Now:
startingand becomeshealthyonly after the adapter loaded. A declared agent that fails to load (a partial declaration counts as declared) is fatal: statusfailed, the traceback in the container log, exit 1. The heartbeat and the metrics hash republish the real status;stop()publishesstopped. Workflow containers keep owning their own readiness, and their launcher now marksfailedwhen the API port never opens.failed/stopped; a controller stillstartingat the deadline (120s, was a 30s warning) is also fatal. Before tearing anything down it prints the last 40 log lines of every replica that never came up (local, or over SSH on EC2, by the container's real name), then oneCRITICALsummary line, and exits 1.healthyfrom a previous run can never stand in for this one.canyonos deploy: the quoted container log is bracketed so the CLI's own error detector does not stop at a line the log is quoting (sentinels are matched at the start of the message only);-vnow fails the same way quiet mode does.After merging
main: #116 already publishes readiness after the load and makes an unloadable agent fatal — those keep #116's shape, with this PR's guardedmark_failed, proxy kill and traceback inside it. Where the two differ in policy (fail fast, 120s, log dump before teardown, one summary line last,-vdetection, stale-status clearing) this PR's behaviour is kept and #116'sRuntimeErrorat the deadline is dropped as a duplicate. Also ports #149 and #151 fromend-to-end-test.Includes a one-line fix for
main:doctor.pystill importedREDIS_PORT, which #141 removed, soimport clifailed and no CLI command could start; a new test imports the entry point in a fresh interpreter so this cannot pass unnoticed again. The same commit is on #178; it no-ops once either merges.Follow-ups (not in this PR): EC2 agent containers run with
--restart unless-stopped, so an unloadable agent restart-loops there until the failed deploy's cleanup terminates the instance; the routing snapshot still lists a replica that has failed;CANYONOS_AGENT_NAME/CANYONOS_AGENT_FILEare imageENVthat a user's--env-filecan override — they are not reserved.How to test it
Manual: an app whose adapter cannot import.
import llama_indexat the top of an agent entrypoint, without adding it to that agent'srequirements.canyonos build && canyonos deploy; echo $?Expected: the deploy stops in the "Starting agents" phase and exits 1. The output shows the container's own log under
--- begin container log: <Agent> (host:port) status=failed ---—Failed to load agent <Agent> from /app/<file>.py: No module named 'llama_index'with its traceback — followed byRoot Cause: … Controller readiness failed: <Agent> (host:port)=failed.canyonos deploy -vfails the same way.Before: the same deploy printed
N agent(s) ready, exited 0, and the breakage only showed up asNo agent loadedon the firstcanyonos testrequest.