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langsmith-fetch

Fetch and analyze LangSmith execution traces to debug LangChain and LangGraph agents.

42|12|Updated Jan 18, 2026
Search Tags:#debugging#cli#langchain#agents#traces#langsmith#trace-analysis
One-click install
npx skills add https://github.com/frostant/awesome-claude-skills --skill langsmith-fetch-frostant
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: langsmith-fetch
Source: https://github.com/frostant/awesome-claude-skills/tree/main/langsmith-fetch
Command: npx skills add https://github.com/frostant/awesome-claude-skills --skill langsmith-fetch-frostant

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

LangSmith Fetch enables developers to debug LangChain and LangGraph agents by pulling execution traces from LangSmith Studio and analyzing them in the terminal, reducing mean time to insight and guiding fixes.

Core Features & Use Cases

  • Fetch recent traces from LangSmith Studio for quick debugging and error investigation.
  • Analyze trace data to identify tool calls, external API usage, memory operations, and performance metrics.
  • Use cases include diagnosing agent behavior, tracing memory recall issues, evaluating tool selections, and optimizing agent latency.

Quick Start

Install the langsmith-fetch CLI and configure LANGSMITH_API_KEY and LANGSMITH_PROJECT, then run a trace fetch to begin debugging.

Frequently Asked Questions about langsmith-fetch

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I debug LangChain agents using execution traces?▼

Fetch and analyze LangSmith execution traces to debug LangChain agents by diagnosing errors, analyzing memory operations, and reviewing tool usage. This skill pulls trace data from LangSmith Studio to produce actionable insights for fixing agent behavior in local terminals or CI workflows.

Can I analyze LangGraph agent behavior and tool usage in a local terminal?▼

Yes, you can analyze LangGraph agent behavior in a local terminal by fetching recent execution traces from LangSmith Studio. This allows you to investigate errors, evaluate tool selections, and review memory operations directly within your command line interface.

Do I need a LangSmith API key to fetch and analyze execution traces?▼

Yes, fetching and analyzing execution traces requires the langsmith-fetch CLI installed along with proper LANGSMITH_API_KEY and LANGSMITH_PROJECT environment variables configured to authenticate and retrieve trace data.

What is the best way to trace memory recall issues in LangChain agents?▼

The best way to trace memory recall issues is by fetching execution traces from LangSmith and analyzing the memory operations within the trace data. This approach allows you to review exactly how LangChain agents retrieve and use context during execution.

How do I diagnose agent errors and optimize latency in CI workflows?▼

Diagnose agent errors and optimize latency in CI workflows by fetching LangSmith execution traces. Analyzing trace data reveals performance metrics and external API usage, enabling you to evaluate tool selections and identify bottlenecks during automated runs.

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