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logfire

Free

AI observability platform for production LLM and agent systems.

Personal AssistantFreeFree tier
#Python
Type
Open Source
Visit Website GitHub (4.2k stars)

About logfire

Pydantic Logfire is an observability platform built on OpenTelemetry, with native SDKs for Python, JavaScript/TypeScript, and Rust. It provides monitoring for production LLM and agent systems, including features like auto and manual tracing, metrics, distributed tracing, sampling, data scrubbing, and integrations with AI frameworks (Pydantic AI, OpenAI, Anthropic, LangChain, LiteLLM, DSPy, etc.), web frameworks (FastAPI, Django, Flask), databases (Psycopg, SQLAlchemy, Asyncpg, Redis, etc.), task queues (Airflow, Celery), and more. The platform offers a web UI with live view, dashboards, SQL Explorer, alerts, public traces, and a prompt playground. It also includes an AI Gateway for prompt management, embeddings, and evaluations, as well as features like managed variables, feature flags, and self-hosted deployment options.

Key Features

OpenTelemetry-based observability with native SDKs for Python, JavaScript/TypeScript, and Rust
Auto and manual tracing for AI/LLM and agent workflows
Distributed tracing, metrics, and sampling strategies
Data scrubbing and suppression for sensitive information
Integrations with AI frameworks (Pydantic AI, OpenAI, Anthropic, LangChain, LiteLLM, DSPy, etc.), web frameworks (FastAPI, Django, Flask), databases, task queues, and logging libraries
AI Gateway with prompt management, embeddings, and versioning
Web UI with live view, dashboards, SQL Explorer, alerts, and public traces
Evaluations, datasets, and managed variables
Feature flags (OFREP) and remote configuration
Self-hosted and enterprise deployment options with SSO, audit logs, and API compliance

Pros & Cons

Pros
  • Built on OpenTelemetry for vendor-neutral, open-standard observability
  • Easy to use with powerful capabilities, from the team behind Pydantic Validation
  • Broad integrations covering AI, web, databases, task queues, and logging
  • Supports multiple programming languages (Python, JS/TS, Rust) via native SDKs
  • Includes AI Gateway features like prompt management and embeddings
  • Self-hosted option available for data sovereignty and compliance
Cons
  • May require familiarity with OpenTelemetry concepts to fully utilize
  • Python SDK is most mature; other language SDKs may have fewer features
  • Pricing model is free but advanced features (e.g., enterprise SSO, self-hosting) may have associated costs not detailed on docs page

Best For

Monitor production LLM applications and agent systemsDebug and trace AI pipeline performance and failuresEvaluate prompt versions and model outputsTrack cost, latency, and usage metrics across AI integrationsObserve interactions between microservices and databases in AI-powered apps

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FAQ

What is Pydantic Logfire?
Pydantic Logfire is a new observability platform built on OpenTelemetry, from the team behind Pydantic Validation. It is designed for monitoring production LLM and agent systems.
What SDKs are available?
Native SDKs are available for Python, JavaScript/TypeScript, and Rust. Any language can be used via the OpenTelemetry standard.
Does Logfire support self-hosting?
Yes, Logfire offers a self-hosted deployment option, with architecture details and production requirements provided in the documentation.
What integrations does Logfire offer?
Logfire integrates with AI frameworks (Pydantic AI, OpenAI, Anthropic, LangChain, LiteLLM, etc.), web frameworks (FastAPI, Django, Flask), databases (Psycopg, SQLAlchemy, Redis), task queues (Airflow, Celery), and logging libraries (Structlog, Loguru, Pytest).