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    1. Home
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    3. Pydantic AI
    Pydantic AI icon

    Pydantic AI

    Agent Frameworks
    Featured

    Open-source typed Python SDK for building agents with any model, structured outputs, durable execution, realtime voice, and observability.

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    At a Glance

    Pricing
    Open Source

    Pydantic AI and Pydantic AI Harness are open source under the MIT license. Model providers and hosting are paid separately by the user.

    Engagement

    Available On

    Web
    API
    SDK
    CLI

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Agent FrameworksAI Development LibrariesAgent Harness

    Alternatives

    spec-ptcOpenHarnessFlue
    Developer
    PydanticWilmington, DEEst. 2022$17.2M raised

    Listed Oct 2026

    About Pydantic AI

    Pydantic AI is an open-source Python AI SDK from the Pydantic team (Pydantic Services Inc.), released under the MIT license. It provides a typed, extensible agent loop where models from many providers can be swapped with a string. The latest release listed on GitHub is v2.56.0, published 2026-10-13.

    What It Is

    Pydantic AI is a Python framework for building agents that return validated, typed results. You define an agent with an output type, tools, and injected dependencies. Tool arguments and structured outputs are validated, and validation errors are sent back to the model so it can retry. Image generation and embeddings ship in the same package, while Pydantic Graph (typed control flow) and Pydantic Evals (agent testing) are separate packages.

    Pydantic AI Harness and capabilities

    The companion Pydantic AI Harness package adds capabilities for long-running work: a workspace with file access and allowlisted shell, planning, subagents, cross-session memory, context compaction, tool output limits, and guardrails. Complete agents such as Coder and Researcher are composed from these capabilities, so they can be used whole or taken apart. Core capabilities include MCP and web search, and agents can also be defined through YAML/JSON specs.

    Durable execution and interfaces

    Agents can run on durable backends so work survives restarts and long waits, including human approval steps. Documented engines are Temporal, DBOS, Prefect, Restate, AWS Lambda, Kitaru, Airflow, Absurd, and pgtask. The same agent can run as a CLI, web chat, UI event stream (AG-UI, Vercel AI), ACP editor agent, GitHub Agentic Workflows job, or a realtime voice session on OpenAI Realtime, Gemini Live, Azure, and xAI.

    Observability and testing

    Instrumentation is OpenTelemetry-based, so traces can go to any OTel backend or to the optional Pydantic Logfire platform. Pydantic Evals lets you build datasets and score agent behavior, and a built-in test model allows offline unit tests. The optional AI Gateway offers one key for many models with cost monitoring.

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    Pricing

    OPEN SOURCE

    Open Source (MIT)

    Pydantic AI and Pydantic AI Harness are open source under the MIT license. Model providers and hosting are paid separately by the user.

    • MIT licensed Python agent framework
    • Pydantic AI Harness included under MIT
    • Model provider and hosting costs are external
    • Logfire and AI Gateway are separate optional products with their own pricing

    Capabilities

    Key Features

    • Typed agents with structured output validation and retries
    • Model-agnostic API across many providers
    • Function tools with dependency injection
    • Pydantic AI Harness capabilities: workspace, planning, subagents, memory, guardrails
    • Durable execution on Temporal, DBOS, Prefect, Restate, AWS Lambda and more
    • Human-in-the-loop tool approval
    • Realtime voice agents
    • Image generation and embeddings
    • MCP and web search capabilities
    • Pydantic Evals for agent testing
    • OpenTelemetry instrumentation with Logfire
    • CLI, web chat, AG-UI and Vercel AI UI streams, ACP

    Integrations

    OpenAI
    Anthropic
    Google
    Amazon Bedrock
    Azure AI Foundry
    Groq
    Mistral
    xAI
    Ollama
    Temporal
    DBOS
    Prefect
    Restate
    AWS Lambda
    Apache Airflow
    Kitaru
    Pydantic Logfire
    OpenTelemetry
    MCP
    GitHub Actions
    API Available
    View Docs

    Ratings & Reviews

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    Developer

    Pydantic

    Pydantic builds the most widely used data validation library for Python, along with an AI agent framework (Pydantic AI) and observability platform (Logfire). Founded by Samuel Colvin, the company creates developer tools with a focus on type safety and developer experience. The team maintains popular open source projects used by millions of developers and major organizations including OpenAI, Google, and Datadog.

    Founded 2022
    Wilmington, DE
    $17.2M raised
    29 employees

    Used by

    Anthropic
    Datadog
    OpenAI (library usage)
    Netflix
    +1 more
    Read more about Pydantic
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    2 tools in directory

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