This directory contains Python samples that demonstrate different ways to host Agent Framework agents. Use this page to choose the hosting model that best fits your scenario, then continue to the README in the relevant subdirectory.

• Start with A2A if you want one agent to call or expose another agent over the A2A protocol.
• Start with Azure Functions if you want an HTTP-hosted or serverless entry point using Azure Functions.
• Start with Durable Task if you need persistent state, durable workflows, or orchestration across multiple steps.
• Start with Foundry Hosted Agents if you want to package and deploy an agent as a hosted agent in Microsoft Foundry.
• Start with Self-Hosted Protocol Helpers if you want to own the web framework or native SDK, routing, authorization, and state storage while using OpenAI Responses or Telegram helpers.

Most hosting samples share a small set of prerequisites:

• A supported Python environment for running the samples locally.
• A Microsoft Foundry project endpoint and model deployment name for FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL.
• Azure CLI authentication via az login when the sample uses AzureCliCredential.
• Any hosting-specific tools or extra services called out in the subdirectory README.

1. Pick the hosting approach that matches your scenario.
2. Open the corresponding README for setup and run instructions.
3. Follow that sample's environment, dependency, and execution steps.