Pydantic AI

Pydantic AI is a Python framework for building production-grade AI agents and applications with type safety and validation.

Pydantic AI is a model-agnostic Python framework designed for building production-grade AI applications and agents. It features built-in type safety, structured outputs, validation, and observability support. Developers can build agents that run for hours using a workspace, planning, memory, and subagents. The framework supports OpenAI, Anthropic, Google, Bedrock, Mistral, Groq, and Ollama, and integrates with durable backends like Temporal, DBOS, Prefect, Restate, and AWS Lambda. It is open source under the MIT license.

Pydantic AI at a glance

Best for: Software engineer
Runs on: Python, CLI, API, self-hosted, open source
Pricing: Personal Free plan; Team $49/mo; Growth $249/mo
Released: June 2024
Category: AI coding tool
Website: pydantic.dev

Key features

Type-safe framework for Python AI applications
Structured outputs and validation with automatic retries
Multi-step agent workflows with planning and memory
Support for multiple model providers
Realtime voice and audio sessions
Durable execution backends for long-running jobs
Observability and tracing through Logfire and OpenTelemetry

Use it for

Build long-running research and coding agents
Handle multi-turn conversational AI with voice
Validate tool arguments and model outputs
Execute background jobs and automated enrichment

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