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Stories

  • Would you deploy an agent you don't control?

    Claude Agent SDK puts Claude Code inside your application. If your product is not a coding agent, that convenience comes with architectural decisions you did not make.

    PydanticAI Blog7 min read
  • Building production agents: the observability layer

    Agents are still software, but traditional monitoring can't see what they actually do. A practitioner's case for treating observability as a first-class layer, and how we do it with Logfire.

    PydanticAI Blog6 min read
  • Durable execution in Pydantic AI agents with AWS Lambda Durability

    AWSLambdaDurability checkpoints every model request, tool call, and MCP call as an AWS Lambda durable step. An invocation that times out or gets retried resumes from the last completed step instead of paying twice for work the agent already did.

    PydanticAI Blog9 min read
  • Your Pydantic AI agents just gained a voice

    Realtime speech-to-speech support in Pydantic AI: the same agent, tools, and message history you already have, now over a live voice call. Provider-agnostic across OpenAI, Azure OpenAI, Gemini Live, and xAI, with browser WebRTC, server-side tools, gateway routing, and Logfire tracing.

    PydanticAI Blog7 min read
  • Crusoe is now a Pydantic AI model provider

    Crusoe Managed Inference is a native model provider in Pydantic AI. One model string gives you streaming, tool calling, and structured output across the open model catalog.

    PydanticAI Blog5 min read
  • StackOne is now a Pydantic AI capability

    StackOne ships as a capability in Pydantic AI Harness. One entry in capabilities gives your agent access to the actions on a linked business system, without hand-writing a tool per SaaS endpoint.

    PydanticAI Blog7 min read

Showing 7 of 7 stories

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