sentry-setup-ai-monitoring

To set up Sentry AI monitoring, you need the Sentry SDK installed alongside your AI libraries. The skill automatically detects installed SDKs like OpenAI or LangChain and configures the appropriate Sentry integration to instrument LLM calls.

Sentry LLM observability supports JavaScript and Python projects using AI SDKs such as OpenAI, Anthropic, and LangChain. The skill detects these installed libraries and applies the correct integration for tracking agent executions and tool usage.

Sentry tracing for AI agent executions works by instrumenting your LLM calls and tool usage through specific integrations. This allows you to monitor performance, track token consumption, and analyze every AI interaction within your application.

Yes, you need the correct Sentry integration applied to your project. This skill identifies your installed AI libraries and automatically applies the matching Sentry integration required to capture LLM calls, agent executions, and token data.

Yes, Sentry AI monitoring helps you debug AI chatbots by tracking agent executions and LLM calls. It provides visibility into every AI interaction, allowing you to monitor performance, understand token consumption, and analyze operational costs.

Sentry AI monitoring fails to capture LLM calls if the correct integration is not applied or if the Sentry SDK and relevant AI libraries are missing. This skill resolves that by detecting installed SDKs and configuring the appropriate integration automatically.