langsmith-fetch
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.
Best for LangChain/LangGraph develop…Works with GitHubLow risk
⌘source
- author
@ComposioHQ- language
- Python
★54kstars
5.8kforks
Apr 17, 2026
✦overview.md
Key Features
- ·Fetches execution traces from LangSmith Studio
- ·Debug LangChain and LangGraph agents
- ·Analyzes execution patterns automatically
- ·Requires langsmith-fetch CLI installation
Use Cases
- →Debugging agent behavior when something goes wrong
- →Investigating errors in agent execution
- →Analyzing which tools an agent called
- →Checking memory operations like LTM
- →Examining agent performance metrics like token usage
Best for
- ✓LangChain/LangGraph developers debugging agents
- ✓Teams using LangSmith for observability
name
langsmith-fetch
description
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.
LangSmith Fetch - Agent Debugging Skill
Debug LangChain and LangGraph agents by fetching execution traces directly from LangSmith Studio in your terminal.
When to Use This Skill
Automatically activate when user mentions:
- 🐛 "Debug my agent" or "What went wrong?"
- 🔍 "Show me recent traces" or "What happened?"
- ❌ "Check for errors" or "Why did it fail?"
- 💾 "Analyze memory operations" or "Check LTM"
- 📊 "Review agent performance" or "Check token usage"
- 🔧 "What tools were called?" or "Show execution flow"
Prerequisites
1. Install langsmith-fetch
pip install langsmith-fetch
2. Set Environment Variables
export LANGSMITH_API_KEY="your_langsmith_api_key"
export LANGSMITH_PROJECT="your_project_name"
Verify setup:
echo $LANGSMITH_API_KEY
echo $LANGSMITH_PROJECT
Core Workflows
Workflow 1: Quick Debug Recent Activity
When user asks: "What just happened?" or "Debug my agent"
Execute:
langsmith-fetch traces --last-n-minutes 5 --limit 5 --format pretty
Analyze and report:
- ✅ Number of traces found
- ⚠️ Any errors or failures
- 🛠️ Tools that were called
- ⏱️ Execution times
$install
1-click copynpx skills add ComposioHQ/awesome-claude-skills --skill langsmith-fetchSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
5/ 5
excellentVery clear and well structured, with almost no room for misunderstanding.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
5/ 5
very highHighly actionable with clear, concrete steps that an agent can follow directly.