conwaychriscosmo / realtime-evaluation-api

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Realtime-Evaluation Project

Description

The realtime-evaluation project is an innovative solution designed to enhance the interaction between AI and human agents by providing real-time quality assessments of AI-generated responses. Utilizing a sophisticated Kafka pipeline, this system captures AI response data and sentiment analysis, alerting human agents to the quality of interactions. This enables immediate human intervention when necessary, ensuring a high standard of customer service and a seamless user experience.

API Documentation

Evaluate Endpoint

  • URL: /evaluate
  • Method: POST
  • Auth required: No
  • Data constraints:
    {
      "agentId": "[string]",
      "customerId": [number],
      "messageId": [integer],
      "messageText": "[string]",
      "sentimentScore": "[string]"
    }
    

Absolutely, I can help you draft a README for your realtime-evaluation project. Here's a template that you can use as a starting point:

# Realtime-Evaluation Project

## Description
The `realtime-evaluation` project is an innovative solution designed to enhance the interaction between AI and human agents by providing real-time quality assessments of AI-generated responses. Utilizing a sophisticated Kafka pipeline, this system captures AI response data and sentiment analysis, alerting human agents to the quality of interactions. This enables immediate human intervention when necessary, ensuring a high standard of customer service and a seamless user experience.

## API Documentation

### Evaluate Endpoint

- **URL**: `/evaluate`
- **Method**: `POST`
- **Auth required**: No
- **Data constraints**:
  ```json
  {
    "agentId": "[string]",
    "customerId": [number],
    "messageId": [integer],
    "messageText": "[string]",
    "sentimentScore": "[string]"
  }
  • Data example:
    {
      "agentId": "agent123",
      "customerId": 456789,
      "messageId": 78910,
      "messageText": "Your issue has been resolved.",
      "sentimentScore": "positive"
    }

Success Response:

  • Code: 200 OK
  • Content example:
    {
      "message": "Message sent successfully"
    }

Error Response:

  • Code: 400 BAD REQUEST
  • Content example:
    {
      "error": "Invalid input data"
    }

Credits

This project was made possible by the collaborative efforts of a dedicated development team and the assistance of an advanced AI coding assistant. The AI's ability to understand requirements and generate code snippets in real-time has been instrumental in the rapid development and deployment of the realtime-evaluation project.


This README provides a concise overview of the project, clear instructions on how to interact with the API, and acknowledges the role of AI in the development process. Feel free to customize it further to fit the specifics of your project and repository. If you need any more assistance, just let me know! πŸ˜ŠπŸ“

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