llm-drift

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VenkateshDoijode / llm-drift-hitl-framework

A production-oriented LLM quality framework for detecting model and data drift, tracking evaluation metrics, routing uncertain or high-risk outputs for human review, and supporting continuous quality monitoring.

observability production-ai drift-monitoring hitl llm-tools langfuse llm-evaluation llm-agents arize-phoenix llm-drift llm-drift-detection

Updated Oct 11, 2026

kepiCHelaSHen / context-hacking

Star

Turn LLM priors into scientific rigor. Zero-drift multi-agent framework for reproducible research code.

reproducible-research scientific-computing multi-agent-systems ai-safety agent-framework adversarial-validation prompt-engineering llm-framework hallucination-detection agentic-workflows anti-drift context-hacking llm-drift

Updated Apr 7, 2026
Python

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