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* Initial plan * Add Foundry evaluation samples for Red Teaming and Self-Reflection Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com> * Refactor evaluation samples with real implementations in local functions Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com> * Uncomment function signatures and bodies, keep only invocations commented Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com> * Update Foundry evaluation samples with observability support * Restructure evaluation samples to follow FoundryAgents naming convention - Rename Evaluation/Evaluation_StepXX to FoundryAgents_Evaluations_StepXX - Add evaluation projects to slnx - Fix var usage, apply dotnet format, use DefaultAzureCredential - Add try/finally for agent cleanup - Fix evaluator deployment name separation in Step02 - Update README references Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Rewrite Step01 to use Azure.AI.Projects RedTeam API and address review comments - Replace safety evaluator sample with actual Red Teaming using AIProjectClient.RedTeams - Use AttackStrategy (Easy, Moderate, Jailbreak) and RiskCategory from Azure.AI.Projects - Remove Microsoft.Extensions.AI.Evaluation.Safety dependency from Step01 - Add DefaultAzureCredential warning comments to Step02 - Remove unused bestResponse variable in Step02 - Add session isolation comments in self-reflection loop - Fix stale directory references in READMEs - Fix misleading evaluation overview link in main README Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add note about agent-targeted red teaming limitations in README The .NET RedTeam API currently only supports model deployment targets via AzureOpenAIModelConfiguration. Agent-targeted red teaming with AzureAIAgentTarget is documented in concept docs but not yet available in the SDK's RedTeam constructor. Results appear in classic portal view. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add classic Foundry disclaimer to red teaming sample README Clarify that this sample uses the classic Azure AI Foundry red teaming API (/redTeams/runs). The new Foundry portal uses a separate evaluation- based API not yet available in the .NET SDK. AzureAIAgentTarget exists in the SDK but is consumed by the Evaluation Taxonomy API, not RedTeam. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review comments on Step02 SelfReflection - Pass full prompt (with context) to evaluator messages instead of just the question, so evaluator input matches what the agent received - Include previous response text in self-reflection refinement prompt so the LLM can meaningfully improve its answer across iterations - Inline CreateKnowledgeAgent helper (single use, single statement) - Add comment clarifying why RunCombinedQualityAndSafetyEvaluation intentionally passes only the question (no context) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
4b3df9ad89
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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 |