AI BriefingLangSmith Introduces End-to-End OpenTelemetry Support
Key point
LangSmith now supports OpenTelemetry, standardizing tracing for LLM applications and providing unified observability.
Details
Sophisticated observability is essential for debugging and optimizing LLM applications. Previously, developers had to mix multiple tools and formats, but now LangSmith provides complete end-to-end OpenTelemetry (OTel) support for applications built on LangChain and LangGraph.
With this update, LangSmith goes beyond simple data ingestion by adding native OpenTelemetry support to the LangSmith SDK, completing the standardization of tracing. This allows developers to enjoy the following benefits:
- Unified Observability: View the entire stack, from LangChain components to infrastructure, in a single view
- Distributed Tracing: Track the flow of requests through context propagation within microservices architectures
- Interoperability: Connect with existing observability tools such as Datadog, Grafana, and Jaeger through the OpenTelemetry standard
Users can easily monitor complex LLM workflows simply by installing the package with the pip install "langsmith[otel]" command and setting an environment variable (LANGSMITH_OTEL_ENABLED=true).
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