sentry-setup-ai-monitoring
Automatically detect and configure Sentry monitoring for LLM calls, agents, and AI SDKs.
Works with
What it does
Auto-detects installed AI packages (OpenAI, Anthropic, LangChain, Google GenAI, Vercel AI, Pydantic AI, and others) and enables appropriate integrations with zero manual registration in Python
Requires tracing enabled ( tracesSampleRate > 0 ) and supports manual span instrumentation via gen_ai.* operation types for unsupported SDKs
Captures model, token counts, and latency by default; prompt and
Installation Guide
How to use sentry-setup-ai-monitoring on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- โบCursor installed and configured on your machine
- โบNode.js 16+ with npm โ verify with
node --version - โบActive project directory where you want to add
sentry-setup-ai-monitoring
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches sentry-setup-ai-monitoring from getsentry/sentry-agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate sentry-setup-ai-monitoring. Access via /sentry-setup-ai-monitoring in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
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Use Cases
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort