What is the LangSmith Fetch skill?

It is a specialized capability for Claude Code that allows the AI to interact with the langsmith-fetch CLI to retrieve, parse, and analyze agent execution traces for debugging.

Can I export debug sessions for my team?

Yes, the skill includes a specific workflow to export traces and conversation threads into organized local directories for sharing or archival.

How does this help with agent debugging?

Instead of manually checking the web UI, Claude can automatically pull recent failed traces, pinpoint the exact tool that errored, and suggest prompt or configuration fixes.

Do I need a LangSmith account to use this skill?

Yes, you must have an active LangSmith account, a configured project, and a valid API key set in your environment variables.

Does this work with LangGraph?

Absolutely. It is designed to handle the complex execution flows of both standard LangChain agents and LangGraph state machines.

LangSmith Trace Fetcher

Name: LangSmith Trace Fetcher
Author: hameed0342j

byhameed0342j

0•

분석 및 모니터링

Debugs LangChain and LangGraph agents by fetching and analyzing execution traces directly from LangSmith Studio within the terminal.

LangSmith Fetch is a specialized diagnostic capability for developers working with LangChain and LangGraph architectures. It bridges the gap between the LangSmith Studio web interface and the developer terminal, allowing Claude to retrieve real-time trace data, investigate tool call failures, analyze memory operations, and monitor agent performance. By automating the retrieval of execution patterns and error logs, this skill enables rapid root-cause analysis and performance optimization for complex AI agent workflows.

주요 기능

01Session export capabilities for offline debugging and team review

02Flexible output formatting including JSON and human-readable 'pretty' views

03Automated error pattern detection and root-cause analysis

040 GitHub stars

05Detailed tool execution flow and memory operation tracking

06Real-time trace retrieval for LangChain and LangGraph agents

사용 사례

01Debugging long-term memory (LTM) retrieval and state management issues

02Monitoring token usage and execution latency for cost and performance tuning

03Investigating agent failures, timeouts, or incorrect tool call logic

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hameed0342j/svh langsmith-fetch

For use in Claude.ai and ChatGPT