langchain-ai/langsmith-sdk
LangSmith Client SDK Implementations
What it solves
It provides a way for developers to debug, evaluate, and monitor language models and intelligent agents. It bridges the gap between developing a prompt and deploying a production-ready application by offering visibility into the internal workings of LLM-based apps.
How it works
The SDKs allow developers to wrap existing LLM clients (like OpenAI) or use decorators to trace the execution of their code. By setting environment variables for tracing and API keys, the SDK sends telemetry data to the LangSmith platform, where the execution traces are visualized and analyzed.
Who it’s for
Developers building LLM applications and intelligent agents who need to track performance, debug errors, and evaluate the quality of their model outputs.
Highlights
- Native integration with LangChain Python and JS libraries.
- Support for both Python and JavaScript/TypeScript.
- Ability to wrap standard LLM clients for automatic tracing.
- Compatible with any LLM application, regardless of the framework used.
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