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3ef67eff10
* Refactor ChatMessageStore methods to be similar to AIContextProvider * Fix file encoding * Ensure that AIContextProvider messages area also persisted. * Update formatting and seal context classes * Improve formatting * Remove optional messages from constructor and add unit test * Add ChatMessageStore filtering via a decorator * Update sample and cosmos message store to store AIContextProvider messages in right order. Fix unit tests. * Update Workflowmessage store to use aicontext provider messages. * Apply suggestions from code review Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> * Improve xml docs messaging * Address code review comments. * Also notify message store on failure --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>
3ef67eff10
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2026-01-05 11:51:15 +00:00
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Getting started
The getting started samples demonstrate the fundamental concepts and functionalities of the agent framework.
Samples
| Sample | Description |
|---|---|
| Agents | Step by step instructions for getting started with agents |
| Foundry Agents | Getting started with Azure Foundry Agents |
| Agent Providers | Getting started with creating agents using various providers |
| Agents With Retrieval Augmented Generation (RAG) | Adding Retrieval Augmented Generation (RAG) capabilities to your agents. |
| Agents With Memory | Adding Memory capabilities to your agents. |
| A2A | Getting started with A2A (Agent-to-Agent) specific features |
| Agent Open Telemetry | Getting started with OpenTelemetry for agents |
| Agent With OpenAI exchange types | Using OpenAI exchange types with agents |
| Agent With Anthropic | Getting started with agents using Anthropic Claude |
| Workflow | Getting started with Workflow |
| Model Context Protocol | Getting started with Model Context Protocol |