Instrument applications and infrastructure, investigate telemetry, and manage Pydantic Logfire workflows across Python, TypeScript, Rust, or any language.
Plugin logfire from marketplace pydantic-skills in pydantic/skills. Commands read from the repo's manifest — 27 days ago.
logfire-codex-connectionConnect Codex itself to Logfire, check connection status, or stop session recording. Use for this plugin's MCP access and optional native Codex telemetry, not application instrumentation or AI Gateway routing.
logfire-coding-agentsConnect Claude Code or Codex itself to Logfire telemetry, or route a coding agent's model requests through Pydantic AI Gateway. Use for coding-session recording, capture policies, Gateway agent configuration, temporary proxy launches, status, or removal. Not for instrumenting an application or routi
logfire-evalsRun offline Python (`pydantic_evals`) or Node.js (`logfire/evals`) evaluations and review them in Logfire. Also redirect existing Braintrust `Eval()` suites. Use for eval setup, test datasets, AI scoring, agent checks, LLM judges, Braintrust migration, or Logfire Datasets & Experiments. Not for live
logfire-frontendSet up and troubleshoot Pydantic Logfire frontend observability and session replays in JavaScript/TypeScript browser applications. Use for browser errors, RUM, Web Vitals, replay recording, privacy controls, or reducing browser telemetry volume. Supports browser entrypoints, React/Vite, and the clie
logfire-gatewayConfigure an application's model calls to use the Pydantic AI Gateway. Use when the user asks to route application inference through Gateway, connect a Gateway key, or add a Gateway provider snippet. This does not configure or instrument coding agents.
logfire-infrastructureMonitor hosts, Docker containers, Kubernetes clusters, database/queue/cache servers, and cloud-provider metrics with Pydantic Logfire — no application code required. Use this skill whenever the user asks to "monitor my host/server/VM", "monitor my Docker containers", "monitor my Kubernetes cluster",
logfire-instrumentationAdd Pydantic Logfire observability to application code — traces, logs, metrics, and AI/agent spans. Use when the user asks to add or configure Logfire, observability, tracing, logging, or monitoring; maximize useful telemetry; or understand what an app is doing. Supports Python, JavaScript/TypeScrip
logfire-queryQuery and analyze Logfire telemetry data — traces, logs, spans, metrics, summaries, and SQL results. Use this skill when the user asks to "query logfire", "search traces", "find logs", "query data", "search spans", "look up errors in logfire", "get metrics from logfire", "analyze telemetry", "summar
logfire-setupRoute broad requests to set up Pydantic Logfire across application instrumentation, infrastructure, evals, frontend observability, Gateway, or coding agents. Use for "set up Logfire", "add Logfire to my project", "get me set up properly with Logfire", "send as much data as would be useful", mentions
logfire-uiOpen or return Logfire project pages, live views, trace links, and Explore pages in the Codex browser without querying telemetry first. Use this skill when the user asks to "open in Logfire", "show in the live view", "open Explore", "open the UI", "show in Codex", "use the browser", "give me a link"
/logfire:connectConnect Logfire MCP and optionally record Claude Code sessions with native telemetry
/logfire:debugUse Logfire traces to investigate errors and debug production issues
/logfire:dev-sessionStart a local Logfire dev session to send traces from your running app for debugging
/logfire:disconnectStop native Claude session telemetry while keeping Logfire MCP and skills available
/logfire:instrumentDetect languages and frameworks in the current project and add Logfire instrumentation
/logfire:queryQuery and analyze Logfire traces, logs, and metrics
/logfire:statusCheck MCP access and native Claude telemetry configuration without changing them
logfireconnects to: ${LOGFIRE_MCP_URL:-https://logfire-us.pydantic.dev/mcp}
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