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langchain-observability

7.0

by jeremylongshore

160Favorites
190Upvotes
0Downvotes

Set up comprehensive observability for LangChain integrations. Use when implementing monitoring, setting up dashboards, or configuring alerting for LangChain application health. Trigger with phrases like "langchain monitoring", "langchain metrics", "langchain observability", "langchain tracing", "langchain alerts".

observability

7.0

Rating

0

Installs

AI & LLM

Category

Quick Review

Excellent skill for LangChain observability with comprehensive, production-ready implementation. Provides detailed code for LangSmith tracing, Prometheus metrics, OpenTelemetry integration, structured logging, Grafana dashboards, and alerting rules. The description clearly identifies trigger phrases and use cases. Task knowledge is thorough with complete callback handlers and configuration examples that would require significant token investment from a CLI agent. Structure is clean with logical progression from basic tracing to advanced monitoring. The skill meaningfully reduces implementation cost by providing battle-tested patterns for multiple observability layers. Minor opportunities: could benefit from example usage combining multiple callbacks, and troubleshooting guidance for common integration issues.

LLM Signals

Description coverage8
Task knowledge9
Structure8
Novelty8

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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