Distributed Group Chat Guide
This example runs a gRPC server using GrpcWorkerAgentRuntimeHost and instantiates three distributed runtimes using GrpcWorkerAgentRuntime. These runtimes connect to the gRPC server as hosts and facilitate a round-robin distributed group chat. This example leverages the Azure OpenAI Service to implement writer and editor LLM agents. Agents are instructed to provide concise answers, as the primary goal of this example is to showcase the distributed runtime rather than the quality of agent responses.
When to use Distributed Group Chat
This example runs a gRPC server using GrpcWorkerAgentRuntimeHost and instantiates three distributed runtimes using GrpcWorkerAgentRuntime. These runtimes connect to the gRPC server as hosts and facilitate a round-robin distributed group chat. This example leverages the Azure OpenAI Service to implement writer and editor LLM agents. Agents are instructed to provide concise answers, as the primary goal of this example is to showcase the distributed runtime rather than the quality of agent responses.
How to use Distributed Group Chat
Distributed Group Chat is a single agent agent built on the AutoGen framework. Set it up from the source repository, configure your model credentials, and invoke it for tasks that match its description. Review the safety profile below before running it against production data or systems.
Safety profile
Autonomy
Semi-autonomous
Sandbox-aware
Yes
Network access
Unspecified
Filesystem access
Unspecified