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* dotnet: refresh Foundry sample guidance Carry forward the still-relevant sample guidance and Foundry-specific documentation fixes from the old stacked sample migration work, adapted to the current repo layout and policy. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * dotnet: rename Foundry sample env vars Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * dotnet: remove persistent provider sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * dotnet: drop SAMPLE_GUIDELINES.md from this PR Defer the guidelines doc and its cross-link to a follow-on PR to avoid broken-link failures in CI. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * dotnet: add DefaultAzureCredential warning to remaining samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * dotnet: address PR review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Getting started
The getting started samples demonstrate the fundamental concepts and functionality of the agent framework.
Samples
| Sample | Description |
|---|---|
| Agents | Step-by-step instructions for getting started with agents |
| Agents with Foundry | Foundry agent samples using FoundryAgent and AIProjectClient.AsAIAgent(...) |
| 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 |
| Agents With CodeAct (Hyperlight) | Enabling sandboxed code execution (CodeAct) for your agents via Hyperlight |
| 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 |
| Model Context Protocol | Getting started with Model Context Protocol |
| Agent Skills | Getting started with Agent Skills |
| Agent Harness with built-in tools | Demonstrating how to build an Agent Harness with built-in planning, todo, and mode management tooling |
| Declarative Agents | Loading and executing AI agents from YAML configuration files |
| AG-UI | Getting started with AG-UI (Agent UI Protocol) servers and clients |
| Dev UI | Interactive web interface for testing and debugging AI agents during development |
| A2A Agents | Working with Agent-to-Agent (A2A) specific features |