Pydantic Logfire Documentation

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Pydantic Logfire Documentation

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Getting Started
Getting Started
- Why Logfire?
- Concepts
- Get Help
- Onboarding Checklist
  Onboarding Checklist
- Web UI
  Web UI
Understanding your Usage
How To - Guides
How To - Guides
- Create Write Tokens
- Use different environments
- Convert to Organization
- Write Dashboard Queries
- Link to Code Source
- Use Alternative Clients
- Use Alternative Backends
- Implement Sampling Strategies
- Export your Logfire Data
- Scrub Sensitive Data
- Trace across Multiple Services
- Combine Multiple Configurations
- Detect Service is Down
- Suppress Spans and Metrics
- OpenTelemetry Collector
  OpenTelemetry Collector
  - Overview
  - Advanced Scrubbing
- Collect Metrics from your Cloud Provider
- Connect to the MCP Server
- Setup Slack Alerts
Integrations
Integrations
- LLMs
  LLMs
  - Pydantic AI
  - OpenAI
  - Google Gen AI
  - Anthropic
  - LangChain
  - LiteLLM
  - DSPy
  - MCP
  - Claude Agent SDK
  - LLamaIndex
  - Mirascope
  - Magentic
- Web Frameworks
  Web Frameworks
  - FastAPI
  - Django
  - Flask
  - Starlette
  - AIOHTTP
  - ASGI
  - WSGI
  - Gunicorn
- JavaScript
  JavaScript
  - Browser
  - Next.js
  - Cloudflare
  - Express
  - Node.js
  - Deno
  - Vercel AI SDK
- Databases
  Databases
  - Psycopg
  - SQLAlchemy
  - Asyncpg
  - PyMongo
  - MySQL
  - SQLite3
  - Redis
  - BigQuery
- HTTP Clients
  HTTP Clients
  - HTTPX
  - Requests
  - AIOHTTP
- Event Streams
  Event Streams
- Logging
  Logging
  - Logging
  - Print
  - Structlog
  - Loguru
- Pydantic
- System Metrics
- Stripe
- AWS Lambda
Reference
Reference
- SQL
- Advanced
  Advanced
- Examples
- Configuration
- Data Regions
- Self-Hosted Deployment
  Self-Hosted Deployment
- SDK CLI
- SDK API
  SDK API
  - Logfire
  - Testing
  - Sampling
  - Propagate
  - Exceptions
  - Pydantic
  - Types
Roadmap
Languages
Enterprise
Compliance
Release Notes

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