langsmith-fetch

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

Updated Nov 18, 2025
One-click install
npx skills add https://github.com/deangilmoreremix/videoremix.vip2 --skill langsmith-fetch-deangilmoreremix
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: langsmith-fetch
Source: https://github.com/deangilmoreremix/videoremix.vip2/tree/main/.kilo/skills/langsmith-fetch
Command: npx skills add https://github.com/deangilmoreremix/videoremix.vip2 --skill langsmith-fetch-deangilmoreremix

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

LangSmith Studio tracing is essential for debugging LangChain and LangGraph agents. This skill fetches execution traces and surfaces actionable insights to diagnose failures, analyze tool calls, memory usage, and overall agent performance.

Core Features & Use Cases

  • Fetch recent traces from LangSmith Studio for quick debugging and audits.
  • Analyze trace data to identify errors, tool usage patterns, and token flows.
  • Generate concise diagnostic summaries for faster triage.

Quick Start

Install langsmith-fetch and start retrieving traces to begin debugging agents.

Frequently Asked Questions about langsmith-fetch

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

FAQPage Schema
How do I fetch LangSmith traces to debug LangChain agents?

To fetch LangSmith traces for debugging LangChain agents, you use the langsmith-fetch CLI to retrieve recent execution traces and surface actionable insights to diagnose failures. This requires a valid LangSmith API key and a configured project.

What is the best way to analyze LangGraph agent tracing data?

The best way to analyze LangGraph agent tracing data is by fetching execution traces from LangSmith Studio to identify errors, tool usage patterns, and token flows. This generates concise diagnostic summaries for faster triage during debugging sessions.

Do I need a LangSmith API key to inspect execution traces?

Yes, you need a valid LangSmith API key and an active project to fetch and inspect execution traces. The langsmith-fetch CLI requires these credentials to authenticate and retrieve trace data for your LangChain workflows.

Can I audit tool calls and memory usage in LangChain workflows?

Yes, you can audit tool calls and review memory usage in LangChain workflows by analyzing the execution traces fetched from LangSmith Studio. The trace data highlights tool usage patterns and token flows across your agent workflows.

How do I generate diagnostic reports for LangChain errors?

To generate diagnostic reports for LangChain errors, use the langsmith-fetch CLI to fetch recent traces and inspect them for failures. The skill generates concise diagnostic summaries that help triage errors and assess agent performance.