langsmith-fetch

To debug LangChain agents by tracing execution runs, you can fetch and analyze LangSmith traces to get an end-to-end view of recent activity, including errors, tool calls, and memory usage. This provides a concise way to identify agent behavior issues.

LangSmith trace analysis for LangGraph agents is the process of collecting and examining execution traces to identify errors, tool calls, memory operations, and performance bottlenecks. It provides an automated workflow to debug agent behavior directly in your terminal.

Yes, you need a LANGSMITH_API_KEY and a LANGSMITH_PROJECT environment variable to fetch execution traces. You must configure these variables alongside the langsmith-fetch CLI to access and analyze your recent LangSmith Studio activity.

Yes, you can analyze tool calls and memory operations from recent agent activity by fetching on-demand traces. The analysis provides a concise, end-to-end view of recent execution, helping you pinpoint exactly where errors or performance bottlenecks occur.

The best way to debug performance bottlenecks in LangChain agents is to use an automated workflow that fetches and analyzes LangSmith traces. This approach offers deep-dive trace analysis to identify memory operations, tool calls, and errors efficiently.

Your LangSmith fetch workflow fails to retrieve recent traces if the required environment variables are missing. You must properly configure the LANGSMITH_API_KEY and LANGSMITH_PROJECT environment variables for the CLI to access LangSmith Studio successfully.