We’ve worked with Heroku to make Pydantic AI integrate seamlessly with Heroku Managed Inference & Agents. This combination lets you: * Build agents in a familiar Pythonic style, with Pydantic’s data validation at the core * Deploy and run them on Heroku’s fully managed infrastructure * Use standard protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A) for interoperability The blog post walks through creating and deploying a Pydantic AI agent on Heroku in just a few steps. Read the guide here: https://lnkd.in/epwR98kH
I'm a long time fan of Heroku, awesome to be working with them.
How are teams leveraging the A2A protocol in production today, are there interesting examples of multi-agent orchestration that others could learn from?