Sentry Python Sdk

What it does

This skill provides access to the Sentry Python SDK, enabling AI agents to integrate error tracking and performance monitoring into Python applications. It allows for capturing exceptions, logging events, and transmitting data to a Sentry project for analysis. The agent can then use this information to diagnose issues and improve application reliability.

When to use it

• Debugging Production Issues: An agent needs to automatically capture and report errors occurring in a live Python web service.
• Performance Monitoring: Track response times or resource usage of specific code blocks within a Python script.
• Automated Error Reporting: Integrate error reporting into an automated testing pipeline for Python applications.
• Incident Response: An agent needs to collect detailed context around a reported incident in a Python application, including stack traces and user information.

Key capabilities

• Exception capture and reporting
• Event logging with custom data
• Integration with Sentry projects
• Data transmission for analysis

Example prompts

• "Capture the current exception and send it to my Sentry project."
• "Log a performance event with duration 1.5 seconds, message 'Database query slow'."
• "Report an error with user ID 'user123' and context data {'request_path': '/api/v1/data'}"

Tips & gotchas

• Requires a valid Sentry project DSN (Data Source Name) to be configured.
• Ensure the correct version of the Python SDK is installed within the agent’s environment.