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* .NET: Add File Search sample #3674 * Add FileSearch sample to solution and parent README - Add FoundryAgents_Step18_FileSearch to agent-framework-dotnet.slnx - Add FileSearch entry to FoundryAgents samples table in README.md - Fix README inaccuracy: sample creates one agent, not two Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Refactor FileSearch sample: local functions + DefaultAzureCredential - Refactor agent creation into switchable local functions - Use DefaultAzureCredential with WARNING comment (matching other samples) - Update README to reference DefaultAzureCredential Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix orphaned temp file in FileSearch sample Use Path.Combine + Path.GetRandomFileName instead of Path.GetTempFileName to avoid leaving an orphaned temp file on disk. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Get Started with Microsoft Agent Framework for C# Developers
Samples
- Getting Started with Agents: basic agent creation and tool usage
- Agent Provider Samples: samples showing different agent providers
- Workflow Samples: advanced multi-agent patterns and workflow orchestration
Quickstart
Basic Agent - .NET
using System;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")!;
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME")!;
var agent = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
.GetOpenAIResponseClient(deploymentName)
.AsAIAgent(name: "HaikuBot", instructions: "You are an upbeat assistant that writes beautifully.");
Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Framework."));
Examples & Samples
- Getting Started with Agents: basic agent creation and tool usage
- Agent Provider Samples: samples showing different agent providers
- Workflow Samples: advanced multi-agent patterns and workflow orchestration