Copilot Studio agent integrated with Azure Voice Live API (real-time voice)

Is your feature request related to a problem? Please describe.
There is currently no end-to-end sample in this repo that demonstrates how to run a Copilot Studio agent with real-time voice using the Azure Voice Live API.
For makers/devs it’s hard to get started because the required wiring (streaming audio, turn-taking, barge-in, auth, configuration, and deployment) is not obvious without a reference implementation.

Describe the solution you'd like
Please add a working sample/template that shows a Copilot Studio agent running with Azure Voice Live API, including:

• A minimal web client (browser microphone) for real-time conversation (push-to-talk or open-mic).
• A lightweight backend (Azure Functions / Node / .NET) that connects to Azure Voice Live API for low-latency audio streaming and forwards text/turns to the Copilot Studio agent.
• Clear setup steps + required environment variables (keys, endpoints, region, agent/channel configuration).
• Support for:
  • streaming input (mic) + streaming output (TTS)
  • barge-in (interrupting TTS when user starts speaking)
  • basic turn-taking and session lifecycle (start/stop)
  • logging/troubleshooting guidance (common errors and how to debug)
• Optional but very helpful:
  • IaC (Bicep/Terraform) to deploy required Azure resources
  • a simple architecture diagram and sequence diagram

Describe alternatives you've considered

• Using Speech SDK samples or custom integrations, but they don’t provide a Copilot Studio-specific, copy/paste starter template in this repo.
• Using non-real-time voice approaches (record-then-send) which increases latency and reduces user experience.

Additional context
Use cases:

• Voice-enabled Copilot Studio agent in a web app (no phone/PSTN required).
• A reference implementation would help teams standardize on a supported pattern for real-time voice (auth, session management, and reliable streaming).

If needed, I can help test the sample on a real tenant and provide feedback/PRs for documentation.

No repository files or tests are identified. Start by reviewing the requested minimal web client and lightweight backend scope, including authentication, streaming, turn-taking, barge-in, and session lifecycle. Done means a working Copilot Studio and Azure Voice Live API sample with setup, environment variables, troubleshooting guidance, and any included deployment or diagram artifacts.