langsmith-fetch

Fetch LangSmith traces to diagnose agent errors and tool calls.

7|Updated Jan 27, 2026
One-click install
npx skills add https://github.com/wsxwj123/opencode-skills-backup --skill langsmith-fetch-wsxwj123
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: langsmith-fetch
Source: https://github.com/wsxwj123/opencode-skills-backup/tree/main/langsmith-fetch
Command: npx skills add https://github.com/wsxwj123/opencode-skills-backup --skill langsmith-fetch-wsxwj123

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio to diagnose failures, analyze tool calls, review memory usage, and assess performance.

Core Features & Use Cases

  • Auto-fetch recent traces from LangSmith Studio for quick debugging.
  • Analyze traces to identify errors, tool usage, timing, and memory metrics.
  • Generate actionable insights and reports to guide fixes and optimizations.

Quick Start

Pull the latest traces from LangSmith and summarize key execution patterns for 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 LangSmith traces?

Debug LangChain agents by fetching execution traces from LangSmith to diagnose failures, analyze tool calls, review memory usage, and assess performance. This Skill automatically retrieves recent traces for quick debugging and report generation.

What is the best way to analyze LangGraph agent failures?

Analyze LangGraph agent failures by fetching execution traces to investigate errors and review tool usage. It automatically pulls recent execution data to identify timing issues, memory metrics, and actionable insights for fixes.

Can I automatically retrieve LangSmith execution traces for CLI workflows?

Yes, you can automatically retrieve LangSmith execution traces for CLI workflows using the langsmith-fetch tool. It pulls recent trace data to diagnose agent behavior and generate debugging reports.

How do I review memory usage and tool calls in LangChain agents?

Review memory usage and tool calls by fetching LangSmith traces to assess agent performance. The traces provide detailed execution data that highlights memory metrics and tool usage patterns to guide optimizations.

Does this work for diagnosing errors in LangGraph execution traces?

Yes, it works for diagnosing errors in LangGraph execution traces by fetching the data directly from LangSmith Studio. It identifies errors, analyzes tool usage, and generates actionable insights to guide fixes.