AI TOOL PROFILE
Pydantic Logfire: AI Observability for LLMs, Apps & RAG
- Software Development
- Observability Platform
- Software companies
- AI engineering teams
- Developers building LLM agents
- Teams using OpenTelemetry
Pricing
Logfire offers a free tier including 10 million spans per month with no credit card required. Enterprise plans are available for self-hosting, SSO, or custom data retention.
At a glance
- Best for
- Software companies, AI engineering teams, Developers building LLM agents, Teams using OpenTelemetry
- Key use cases
- Full-Stack AI Monitoring, AI Cost Management, RAG System Debugging, Polyglot App Observability
- Integrations
- OpenAI, Anthropic, Google GenAI, LangChain, LlamaIndex
- Official website
- Visit Logfire official website
How AI is used
Logfire is an observability platform designed for AI applications. It provides unified traces that combine LLM interactions, AI agent reasoning, API requests, and database queries, rather than tracking only LLM request and response data.
It supports polyglot architectures with SDKs for Python, JavaScript/TypeScript, and Rust, and is compatible with any OpenTelemetry-supported language.
Capabilities include real time LLM cost tracking to help identify expensive prompts and an integrated evaluation framework via Pydantic Evals to benchmark model outputs. Users can also query trace data using standard SQL.
For organizations with specific governance needs, the platform offers SOC2 Type II, HIPAA, and GDPR compliance, as well as self-hosting options for enterprise users.
Key Features
Unified AI Traces
Combines LLM calls, agent reasoning, database queries, and API requests into a single end-to-end timeline.
Real Time LLM Cost Tracking
Tracks LLM API spending in real time to help identify expensive prompts and optimize model selection.
OpenTelemetry Integration
Built on OpenTelemetry standards, supporting any OTel-compatible language and framework.
Pydantic Evals Framework
Provides an integrated framework to evaluate LLM outputs in production.
SQL Data Querying
Allows users to query traces using Postgres-flavored SQL and NLP-generated queries.
Enterprise Compliance
Supports SOC2 Type II certification, HIPAA compliance, and GDPR compliance with an EU data region option.
Use Cases
Full-Stack AI Monitoring
Monitoring LLM calls, agent behavior, and API requests across the application stack.
AI Cost Management
Tracking real time token usage and API costs to set budget alerts.
RAG System Debugging
Tracing the lifecycle of a prompt and analyzing retrieval quality alongside database queries.
Polyglot App Observability
Tracing requests across environments using different languages, such as a Python backend and a TypeScript frontend.
Integrations
- OpenAI
- Anthropic
- Google GenAI
- LangChain
- LlamaIndex
- FastAPI
- PostgreSQL
- MongoDB
- Redis
- Vercel AI SDK
- Next.js
- Cloudflare Workers
FAQ
What does Logfire monitor?
- Logfire monitors the AI application stack, including LLM interactions, AI agent behavior, API requests, and database queries in unified traces.
Does Logfire support languages other than Python?
- Yes, it provides SDKs for JavaScript/TypeScript and Rust, and supports any language that is OpenTelemetry-compatible, including Go and Java.
Is there a free version of Logfire?
- Logfire provides a free tier that includes 10 million spans per month, and no credit card is required to get started.
Can Logfire be self-hosted?
- Yes, self-hosting capabilities are available as part of the enterprise plan.
Source category: Software Development
Source subcategory: Observability Platform
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