Logfire, Pydantic AI, and Pydantic plugins for Claude Code, Codex, and Cursor. Instrument your code with Logfire, query and export the resulting telemetry, build LLM agents with Pydantic AI, and validate data with Pydantic.
@pydanticBuild AI agents with Pydantic AI — tools, capabilities (including on-demand loading), workspaces, structured output, streaming,…
@pydanticConnect Codex itself to Logfire, check connection status, or stop session recording. Use for this plugin's MCP access and…
@pydanticConnect Claude Code or Codex itself to Logfire telemetry, or route a coding agent's model requests through Pydantic AI Gateway.…
@pydanticRun offline Python (`pydantic_evals`) or Node.js (`logfire/evals`) evaluations and review them in Logfire. Also redirect existing…
@pydanticSet up and troubleshoot Pydantic Logfire frontend observability and session replays in JavaScript/TypeScript browser…
@pydanticConfigure an application's model calls to use the Pydantic AI Gateway. Use when the user asks to route application inference…
@pydanticConnect Logfire MCP and optionally record Claude Code sessions with native telemetry
@pydanticUse Logfire traces to investigate errors and debug production issues
@pydanticStart a local Logfire dev session to send traces from your running app for debugging
@pydanticStop native Claude session telemetry while keeping Logfire MCP and skills available
@pydanticDetect languages and frameworks in the current project and add Logfire instrumentation
@pydantic© 2026 Flowy
Built for Claude Code · Not affiliated with Anthropic
Query and analyze Logfire traces, logs, and metrics
@pydanticCheck MCP access and native Claude telemetry configuration without changing them
@pydantic