langsmith-fetch-skill
🥈SilverFetch execution traces from LangSmith Studio in your terminal. Debug LangChain and LangGraph agents using Claude Code. Improve AI observability and streamline debugging for developers.
2430Updated 2mo ago
Intermediate30min to implementautomation
Saves ~90 min per use
Quick InstallView Source
git clone https://github.com/OthmanAdi/langsmith-fetch-skill.gitWorks with:
Claude
Overview
About This Skill
LangSmith Fetch Skill teaches Claude to debug LangChain and LangGraph agents by automatically retrieving and analyzing execution traces from LangSmith Studio. Simply ask Claude to debug your agent, and it fetches traces, identifies errors, analyzes performance bottlenecks, and reviews tool call execution. The skill detects failures and root causes, tracks token usage, examines memory operations, and compares agent performance across runs. Developers working with LangChain agents benefit from streamlined observability and faster debugging workflows without leaving the terminal.
How to Use
Install the langsmith-fetch CLI and skill via npm, then set your LANGSMITH_API_KEY and LANGSMITH_PROJECT environment variables. Open Claude Code and ask Claude to debug your agent—it automatically fetches traces and provides analysis.
Use Cases
Debug failing agent traces and identify root causes automatically
Analyze execution performance and identify slowest operations
Review tool calls and memory operations for agent orchestration
Export debugging sessions for team review and documentation
Tags
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/OthmanAdi/langsmith-fetch-skillRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Fetch the execution traces for the [AGENT_NAME] agent from LangSmith Studio. Include all traces from the last [TIME_PERIOD] hours. Format the output for debugging in Claude Code.
Example Output
```markdown
# Execution Traces for 'Order Processing Agent'
## Trace 1: Failed Order Creation
- **Timestamp**: 2023-11-15 14:30:22
- **Status**: Failed
- **Error**: Invalid product ID 'XYZ123'
- **Input**: {"product_id": "XYZ123", "quantity": 2}
- **Output**: {"error": "Product not found"}
## Trace 2: Successful Order Update
- **Timestamp**: 2023-11-15 15:45:10
- **Status**: Success
- **Input**: {"order_id": "ORD456", "status": "shipped"}
- **Output**: {"message": "Order status updated"}
## Trace 3: Timeout Error
- **Timestamp**: 2023-11-15 16:20:45
- **Status**: Timeout
- **Error**: Request timed out after 30 seconds
- **Input**: {"order_id": "ORD789", "action": "cancel"}
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