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awesome-llm-observability
Python

awesome-llm-observability

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.

by ContextJet-ai · GitHub
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ai-agentsai-engineeringai-observabilityPython
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Access a curated list of observability tools and agent skills to help build and monitor reliable AI applications.

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4541
2026-10-152026-11-03
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📄 About

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 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.

❓ Frequently asked questions

What is awesome-llm-observability?

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.

Is awesome-llm-observability open source?

awesome-llm-observability is an open-source project.

Is awesome-llm-observability free?

Yes. awesome-llm-observability is free and open source — you can use, modify and self-host it.

What language is awesome-llm-observability written in?

awesome-llm-observability is written mainly in Python.

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