logfire-instrumentation
Add 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/TypeScript, Rust, and major AI agent frameworks including Pydantic AI, OpenAI Agents SDK, Claude Agent SDK, LangChain, LangGraph, CrewAI, AutoGen, and Google ADK. For infrastructure-only monitoring (hosts, Docker, Kubernetes, databases, or cloud metrics with no app-code changes), use logfire-infrastructure. For evaluating AI/agent behavior against test datasets, use logfire-evals.
Pinned to revision 4e8964e24a5a, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/logfire-instrumentation/SKILL.md
- skills/logfire-instrumentation/LICENSE
- skills/logfire-instrumentation/references/auth.md
- skills/logfire-instrumentation/references/javascript/ai-sdk.md
- skills/logfire-instrumentation/references/javascript/cloudflare-and-deno.md
- skills/logfire-instrumentation/references/javascript/frameworks.md
- skills/logfire-instrumentation/references/javascript/installation-and-env.md
- skills/logfire-instrumentation/references/javascript/nextjs.md
- skills/logfire-instrumentation/references/javascript/node-runtime.md
- skills/logfire-instrumentation/references/javascript/patterns.md
- skills/logfire-instrumentation/references/javascript/project-detection.md
- skills/logfire-instrumentation/references/javascript/react-browser.md
- skills/logfire-instrumentation/references/javascript/verification-troubleshooting.md
- skills/logfire-instrumentation/references/python/integrations.md
- skills/logfire-instrumentation/references/python/logging-patterns.md
- skills/logfire-instrumentation/references/rust/patterns.md
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