chore(reduce-providers): Generic Model Loading (OpenAI compatible endpoints)

[wtfsayo]

Generic Model Loading System Implementation

Overview

The PR implements a generic model loading system with OpenAI-compatible endpoints.

Key Changes

1. Unified Provider Configuration

• Simplified provider setup using:
  • PROVIDER_NAME
  • PROVIDER_API_KEY
  • PROVIDER_ENDPOINT
• Supports any provider with OpenAI-compatible endpoints:
  • groq
  • openai
  • deepseek
  • etc.

2. Model Settings Standardization

• Structured configuration for:
  • Default models
  • Small models
  • Medium models
  • Large models
• Unified settings for:
  • Input/output tokens
  • Temperature
  • Other parameters
• Standardized embedding and image model configurations

3. Code Refactoring

• Simplified token handling and provider selection logic
• Updated embedding configuration and tests
• Improved error handling and type safety

4. Cleanup

• Removed redundant provider-specific configurations
• Streamlined environment variables
• Updated gitignore patterns

Summary

The changes make the system more maintainable and easier to configure while supporting a wide range of model providers through OpenAI-compatible endpoints.

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[wtfsayo]

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#!/bin/bash
# Fetch PR details
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# Show the diff for better understanding
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Length of output: 70072

---

@wtfsayo The PR implements a generic model loading system with OpenAI-compatible endpoints. Key changes include:

1. Unified Provider Configuration:

   • Simplified provider setup using PROVIDER_NAME, PROVIDER_API_KEY, and PROVIDER_ENDPOINT
   • Supports any provider with OpenAI-compatible endpoints (groq, openai, deepseek etc.)

2. Model Settings Standardization:

   • Structured configuration for default, small, medium, and large models
   • Unified settings for input/output tokens, temperature, and other parameters
   • Standardized embedding and image model configurations

3. Code Refactoring:

   • Simplified token handling and provider selection logic
   • Updated embedding configuration and tests
   • Improved error handling and type safety

4. Cleanup:

   • Removed redundant provider-specific configurations
   • Streamlined environment variables
   • Updated gitignore patterns

The changes make the system more maintainable and easier to configure while supporting a wide range of model providers through OpenAI-compatible endpoints.