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langsmith-observability

422 stars 30 forks Updated Dec 17, 2025
36.9

LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.

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#Fix#LLM observability#LLM#tracing#debugging LLM
Also in: api python

Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security

skilz install zechenzhangAGI_AI-research-SKILLs/langsmith-observability
skilz install zechenzhangAGI_AI-research-SKILLs/langsmith-observability --agent opencode
skilz install zechenzhangAGI_AI-research-SKILLs/langsmith-observability --agent codex
skilz install zechenzhangAGI_AI-research-SKILLs/langsmith-observability --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/zechenzhangAGI/AI-research-SKILLs
2. Copy the skill directory:
cp -r AI-research-SKILLs/17-observability/langsmith ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Details

Stars
422
Forks
30
Type
Technical
Meta-Domain
media
Primary Domain
monitoring
Sub-Domain
error errors
Skill Size
31.9 KB
Files
3
Quality Score
36.9

AI-Detected Topics

Extracted using NLP analysis

Fix LLM observability LLM tracing debugging LLM

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