logfire

An opinionated list of awesome Pydantic-AI frameworks, libraries, software and resources.

Visualize Pydantic AI agent workflows from Logfire traces as an interactive HTML diagram — tools, nested sub-agents, tokens and exact cost.

Logfire ML Training Insights: 2026 AI Observability & Transformers Callback Monitoring

OpenTelemetry wrapper for Claude Code CLI that logs tool calls, token usage, costs, and execution traces to Logfire, Sentry, Honeycomb, or Datadog. Drop-in replacement that swaps 'claude' command for 'claudia'.

AI-powered tool that helps you debug, analyze, and understand your applications using Pydantic Logfire.

⭐ Integrates Claude Desktop with Google and Atlassian workspaces

Demonstrate Agentic use of Model Context Protocol (MCP) server tools with several Agent Frameworks

A data pipeline that scrapes job opportunities from company websites and uses OpenAI to structure the data. Initially focused on tech roles, but easily adaptable for any job type.

Pydantic Logfire observability plugin for OpenClaw — OTEL GenAI semantic conventions, distributed tracing, token metrics, trace links

A template for building Python apps with PydanticAI, uv, Docker, logging via Logfire.

A Kiro Power that helps create AI Agents with Pydantic AI

Web app de sistema POS de ventas

Cross-platform music streaming app with real-time play tracking, lyrics sharing, and mood-based home dashboard. Built with FastAPI, PostgreSQL, Cloudflare R2, Expo (React Native), Sentry monitoring, and Logfire tracing. Features queue management, keyboard shortcuts, haptic feedback, and offline support.

CLI tool to fetch and query trace details from Pydantic Logfire by trace ID

Observability for Julia LLM applications. Know what your AI is doing.

Evaluation framework for testing LLM agents' ability to use MCP tools

Production-grade AI portfolio copilot: PydanticAI + MCP agents, Robinhood sync, macro analysis, and streaming chat on FastAPI & Next.js

Rust execution primitives for Python AI systems: model transport, agent runtime, MCP, tracing, caching, and routing.

FastAPI-based multi-agent orchestrator for Odoo. Uses a Semantic Router to dispatch intents to specialized agents via Model Context Protocol (MCP/FastMCP). Features Guardrails AI for hallucination prevention, Human-in-the-Loop validation, Logfire observability and support for Groq, Ollama and vLLM.