AI Agents
Learn how to use Sentry's AI Agent monitoring tools to trace and debug your AI agent workflows, including agent runs, tool calls, and model interactions.
Now in beta!
This feature is currently in Beta. If you are looking for old LLM Monitoring insights, see LLM Monitoring.
Sentry's AI Agent monitoring tools help you understand what's going on with your AI agent workflows. They automatically collect information about agent runs, tool calls, model interactions, and errors across your entire AI pipeline—from user interaction to final response.
- Your AI agent is failing silently during tool execution, and you want to trace the complete agent flow to identify where it's breaking.
- Users report that your AI agent is returning unexpected or malformed responses, and you need to debug the full context of prompts, model calls, and outputs.
- Your AI agent workflows are experiencing performance issues, and you want to identify which steps (model calls, tool usage, or custom logic) are causing bottlenecks.
To use AI Agent Monitoring, you must have an existing Sentry account and project set up. If you don't have one, create an account here.
Learn how to set up Sentry for AI Agents.
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Our documentation is open source and available on GitHub. Your contributions are welcome, whether fixing a typo (drat!) or suggesting an update ("yeah, this would be better").
Our documentation is open source and available on GitHub. Your contributions are welcome, whether fixing a typo (drat!) or suggesting an update ("yeah, this would be better").