Pydantic AI
Type-safe Python agent framework
Overall score
About
Pydantic AI is an open-source Python framework for building production-grade LLM agents. Built by the Pydantic team, it brings the FastAPI-style type-safety and ergonomics to agent development. Model-agnostic (OpenAI, Anthropic, Gemini, Mistral, Groq, Ollama, Bedrock and more) with first-class Model Context Protocol support.
Best for: Python developers building type-safe AI agents who want FastAPI-style ergonomics and model-agnostic LLM access without locking into a vendor framework.
Pricing
Open Source
- Monthly
- Free
- Annual /mo
- Free
- Billing
- flat
- Notes
- Full framework feature set;MIT license;Self-hosted;All model provider integrations;MCP support · Install via pip install pydantic-ai. Pydantic Logfire (separate product) provides hosted observability from $49/mo.
| Tier | Monthly | Annual /mo | Billing | Notes |
|---|---|---|---|---|
| Open Source | Free | Free | flat | Full framework feature set;MIT license;Self-hosted;All model provider integrations;MCP support · Install via pip install pydantic-ai. Pydantic Logfire (separate product) provides hosted observability from $49/mo. |
Key features
- Model-agnostic LLM support (OpenAI, Anthropic, Gemini, Mistral, Groq, Ollama, Bedrock)
- Type-safe with Pydantic models for structured outputs
- Built-in evaluation and testing
- Model Context Protocol support
- Native Pydantic Logfire observability hooks
- Streamed responses and graph-based agent workflows
Integrations
Trust & compliance
- Stage range
- MVP → Growth
- Founded
- 2024
- Status
- active
- SOC 2
- unknown
- GDPR
- unknown
- Data residency
- customer_choice
- External rating
- n/a
- Last verified
- Sep 2026
Reviews
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People who've discussed Pydantic AI
See all people →Curated mentions from podcasts, posts, and public stacks. Editorial coverage; not endorsements.
Cole Medin
Founder; Creator
Medin has called Pydantic AI 'my favorite framework' for building AI agents on X and built an entire YouTube tutorial series around it. He pairs Pydantic AI with LangGraph for multi-agent systems and with DeepSeek V3 for cheap-but-capable agent combos. He frames it as the right primitive when you want type-safe agent code over no-code drag-and-drop builders.
Logan Kilpatrick
Product Lead, AI Studio
Logan has invested in Pydantic, a tool that simplifies data validation and settings management in Python.