50+ curated LLM observability tools PLUS 26 Agent Skills (several with runnable, unit-tested scripts) to build, evaluate, debug, secure & monitor reliable LLM apps. Tracing, evals, guardrails, LLMOps.
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Free · no card · unsubscribe anytime50+ curated LLM observability tools PLUS 26 Agent Skills (several with runnable, unit-tested scripts) to build, evaluate, debug, secure & monitor reliable LLM apps. Tracing, evals, guardrails, LLMOps.
awesome-llm-observability has 45 stars on GitHub. It has been forked 31 times. awesome-llm-observability is written mainly in Python. It has been in active development since 2026. Its main topics are ai-agents, ai-engineering, ai-observability, awesome.
50+ curated LLM observability tools PLUS 26 Agent Skills (several with runnable, unit-tested scripts) to build, evaluate, debug, secure & monitor reliable LLM apps. Tracing, evals, guardrails, LLMOps.
awesome-llm-observability is an open-source project.
Yes. awesome-llm-observability is free and open source — you can use, modify and self-host it.
awesome-llm-observability is written mainly in Python.
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