Feature Request: Add gRPC & Async-Queue AgentTool for Issue Analyzer

[Shreyanand]

Why

We need anAgentTool that lets other AutoGen agents call Issue Analyzer team over gRPC.
After the sync path lands, we’ll add an async path that publishes requests to a queue and lets Issue Analyzer consume them at its own pace.

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Deliverables (chronological)

1. Define protobuf

   • team.proto with Handle(Query) → Reply RPC and streaming support (stream Reply HandleStream(stream Query)).

2. Generate Python stubs

   • Use python -m grpc_tools.protoc ….

3. Implement sync IssueAnalyzerTool

   # tools/team_a_grpc.py
   import grpc
   from proto.team_pb2_grpc import TeamServiceStub
   from proto.team_pb2       import Query
   from autogen_agentchat.tools import AgentTool
   
   class TeamATool(AgentTool):
       name        = "team_a"
       description = "Delegates work to Team A over gRPC"
   
       def _run(self, prompt: str, **_) -> str:
           with grpc.insecure_channel("team-a.agents.svc.cluster.local:50051") as ch:
               ans = TeamServiceStub(ch).Handle(Query(prompt=prompt), timeout=30)
               return ans.answer

4. Implement async IssueAnalyzerTool
   ...

[RHETbot]

This feature request aims to add a gRPC and Async-Queue based AgentTool for the Issue Analyzer. The goal is to enable robust, scalable communication leveraging gRPC's asynchronous capabilities. The plan involves defining protobuf schemas, generating Python stubs, and implementing both synchronous and asynchronous tool classes.

Next steps include engaging the team for discussion and feedback, designing protobuf schemas and service definitions, developing the gRPC client and server stubs, and thorough testing of both sync and async implementations. Once validated, the new tools will be documented and deployed, enhancing the integration capability of the Issue Analyzer.