Pydantic AI
AI agent framework for building production-grade applications and workflows with Generative AI
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ai.pydantic.dev
About Pydantic AI
Pydantic AI is a Python agent framework designed to help you quickly, confidently, and painlessly build production-grade applications and workflows with Generative AI. It supports virtually every model and provider, including OpenAI, Anthropic, and Hugging Face.
Description summarised by AI from the sources listed below.
Key features
- Model-agnostic
- Model-agnostic: Supports virtually every model and provider
- Seamless Observability
- Seamless Observability: Tightly integrates with Pydantic Logfire
- Fully Type-safe
- Fully Type-safe: Designed to give your IDE or AI coding agent as much context as possible for auto-completion and type checking
- Powerful Evals
- Powerful Evals: Enables you to systematically test and evaluate the performance and accuracy of the agentic systems you build
- Extensible by Design: Build agents from composable capabilities that bundle tools, hooks, instructions, and model settings into reusable units
- Extensible by Design
- MCP and UI: Integrates the Model Context Protocol and various UI event stream standards
- MCP and UI
- Human-in-the-Loop Tool Approval: Easily lets you flag that certain tool calls require approval before they can proceed
- Human-in-the-Loop Tool Approval
- Durable Execution
- Durable Execution: Enables you to build durable agents that can preserve their progress across transient API failures and application errors or restarts
- Streamed Outputs
- Streamed Outputs: Provides the ability to stream structured output continuously
- Graph Support
- Graph Support: Provides a powerful way to define graphs using type hints
Use cases
- Building production-grade applications and workflows with Generative AI
Pricing
Pricing model: Unknown — we have not been able to confirm pricing from the official website, so nothing is stated here.
Pricing summarised by AI from the sources listed below.
