Fetch execution traces from LangSmith Studio in your terminal. Debug LangChain and LangGraph agents using Claude Code. Improve AI observability and streamline debugging for developers.
git clone https://github.com/OthmanAdi/langsmith-fetch-skill.gitFetch execution traces from LangSmith Studio in your terminal. Debug LangChain and LangGraph agents using Claude Code. Improve AI observability and streamline debugging for developers.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/OthmanAdi/langsmith-fetch-skillCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
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.
```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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