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* Adds Valkey to chat message history * Address review: switch to Valkey.Glide, add options class, remove context provider - Switch from StackExchange.Redis to Valkey.Glide 1.1.0 (official Valkey .NET client) - Extract optional params into ValkeyChatHistoryProviderOptions - Add JsonSerializerOptions support, remove [RequiresUnreferencedCode] - Make MaxMessages/MaxMessagesToRetrieve readonly via options - Remove ValkeyContextProvider (overlaps with ChatHistoryMemoryProvider + MEVD) - Remove ValkeyProviderScope (only used by context provider) - Remove connection string constructors (caller manages IConnectionMultiplexer) - Update samples to use new API and gpt-5.4-mini * Use type-safe JsonSerializer overloads, remove suppress attributes Use JsonSerializerOptions.GetTypeInfo() for Serialize/Deserialize calls to enable NativeAOT/trimming compatibility without suppress attributes. Default to AgentAbstractionsJsonUtilities.DefaultOptions when no options provided. Signed-off-by: Matthias Howell <matthias.howell@improving.com> * Update READMEs: remove context provider references Remove ValkeyContextProvider and long-term memory references from sample READMEs since the context provider was removed from this PR. Simplify Valkey server requirements (no search module needed for chat history). Signed-off-by: Matthias Howell <matthias.howell@improving.com> * Apply suggestion from @westey-m * Fix formatting (dotnet format) Signed-off-by: Matthias Howell <matthias.howell@improving.com> * Update dotnet/src/Microsoft.Agents.AI.Valkey/Microsoft.Agents.AI.Valkey.csproj Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> --------- Signed-off-by: Matthias Howell <matthias.howell@improving.com> Co-authored-by: Matthias Howell <matthias.howell@yoppworks.com> Co-authored-by: westey <164392973+westey-m@users.noreply.github.com> Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
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Get Started with Microsoft Agent Framework for C# Developers
Quickstart
Basic Agent - .NET
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using OpenAI.Responses;
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")!;
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME")!;
var agent = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
.GetResponsesClient(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