AWS AI Voice Agent Development

AWS AI voice agent implemented in python with WebSocket streaming for faster response

i need to implement online voice chat . so client calls by phone connected to AWS Connect .
then voice converted to text is fed to my python code , which runs on aws ec2 and implements AI agent.
so my custom ai code agents can do no delay conversation . my agent uses openai or Claud sonet as fast as possible , no delays
add Auto-scale using AWS Lambda concurrency settings to be able to process many calls in parallel ?
provide detailed instructions how to do it with WebSocket streaming for faster response times?

AWS X-Ray tracing to detect latency bottlenecks
CloudWatch Logs for debugging AI agent behavior
provide full solution with Monitoring & Logging.
describe first how you understand what needs to be done in form task description for mlops data scientist developer.
define steps like 1,2,3.
then provide detailed solution what to do for beginner in aws mlops (as more details as possible )

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Model: Task Description:
Create a scalable real-time voice chat system with AI agents using AWS services, where:

1. Voice Input Processing:
- Handle incoming phone calls via AWS Connect or similar service
- Convert voice to text in real-time using Amazon Transcribe
- Stream the text to AI processing system

2. AI Processing Layer:
- Process text input using custom Python AI agents
- Integrate with OpenAI/Claude APIs for responses
- Ensure minimal latency in response generation
- Handle multiple concurrent conversations

3. Voice Output Generation:
- Convert AI responses back to speech using Amazon Polly
- Stream audio back to caller
- Maintain conversation context

4. Infrastructure Requirements:
- Scalable architecture using AWS Lambda and EC2
- WebSocket implementation for real-time communication
- Auto-scaling capability for handling multiple calls
- Comprehensive monitoring and logging system


you need to provide all steps to do
I do not provide aws account

acceptances criteria : I can implement it by myself on my local windows
Important :
you need to provide all instruction and steps to do, to instruct me how to implement this task
I do not provide you aws account
(or we can connect online and you tell me what to do on my AWS account )
acceptances criteria : I can implement it by myself on my local windows and my aws account