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autogen/dotnet/samples/Hello/Backend/Program.cs

Program.cs 197 B
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[.Net] Add a generic `IHandle` interface so AgentRuntime doesn't need to deal with typed handler (#3985) * add IHandle for object type * rename handle -> handleObject * remove duplicate file header setting * update * remove AgentId * fix format
1 year ago
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Refactoring the services and implementing an in-memory runtime for .NET (#4005) closes #3950 closes #3702 What this is doing: I am refactoring the services on the .NET runtime and attempting to clarify the naming and organization. I added this doc to help capture the naming and concepts. AgentRuntime / Worker should work similar to the python version and enables running the whole agent system in one process. For remote the system uses the versions of the services in the grpc folder. lots of other bug fixes/threading cleanup - passing cancellation token throughout Services update clarifies the naming and roles: Worker: Hosts the Agents and is a client to the Gateway Gateway: -- RPC gateway for the other services APIs -- Provides an RPC bridge between the workers and the Event Bus Registry: keeps track of the agents in the system and which events they can handle AgentState: persistent state for agents
1 year ago
rysweet-adopt .NET Microsoft.Extensions.AI abstractions (#3790) adopts the new Microsoft.Extensions.AI abstractions adds a base InferenceAgent fixes a lot of pain points in the runtime wrt startup/shutdown fixes some uncaught exceptions in the grpc stream reading adds an example for running the backend service in its own process adds an example of an agent that connects to OpenAI/Ollama adds an example of wrapping an agent app in .NET Aspire upgrades some dependencies and removes some others Known bugs: #3922
1 year ago
 12345 
  1. // Copyright (c) Microsoft Corporation. All rights reserved.

  2. // Program.cs

  3. 

  4. var app = await Microsoft.AutoGen.Agents.Host.StartAsync(local: false, useGrpc: true);

  5. await app.WaitForShutdownAsync();

This is a mirror of AutoGen from GitHub. AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.