Debugs LangChain and LangGraph agents by fetching and analyzing execution traces directly from LangSmith Studio.
LangSmith Fetch is a specialized Claude Code skill designed to streamline the debugging process for LLM-powered agents. It enables developers to retrieve real-time execution traces, analyze tool calls, and investigate memory operations without leaving the terminal. By integrating directly with LangSmith Studio, this skill helps identify root causes of agent failures, optimize token usage, and improve overall agent reliability through automated workflows for error detection and session exports.
Key Features
01Deep-dive tool call and execution flow investigation
02Real-time trace retrieval and analysis
03Performance monitoring including token usage and latency
04Full session and thread export for offline review
05Automated error detection and pattern analysis
060 GitHub stars
Use Cases
01Investigating why an agent failed or produced unexpected output
02Optimizing agent performance and reducing token costs
03Debugging memory storage and retrieval operations in RAG pipelines
