langchain-ai/langsmith-sdk

Health v2 · maintenance only

Adoption not part of the score

1044 stars · 288 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official Python and JavaScript/TypeScript client SDKs for the LangSmith platform, enabling tracing, debugging, evaluation, and monitoring of LLM applications and agents. It provides decorators and wrappers (e.g., traceable, wrap_openai) that capture end-to-end traces of LLM calls with minimal code changes.

Use cases

• trace llm calls in production
• debug ai agent failures
• evaluate llm app quality with datasets
• monitor chatbot performance
• instrument openai calls with tracing
• collect user feedback on model outputs
• build evaluation datasets from production traces

When to choose

• you need observability for LLM or agent applications
• you use LangChain or LangGraph and want one-variable tracing setup
• you want to evaluate and benchmark LLM outputs against datasets
• you need production monitoring and alerting for AI apps

When to avoid

• you want fully self-hosted open-source observability without the LangSmith platform
• your project has nothing to do with LLMs or agents
• you need a general-purpose APM tool for non-LLM services

Facets

library · maturity active

monitoring tracing llm-inference agent-framework sdk testing analytics large-language-models developer-tools monitoring machine-learning python cross-platform langsmith llm-observability tracing llm-evaluation langchain openai-wrappers agent-debugging ai-agents nodejs

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markdown · JSON · MCP: product_card(name="langchain-ai/langsmith-sdk")