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@Th0mYT Th0mYT commented Dec 8, 2025

Overview

Adds comprehensive multi-provider support enabling cloud (OpenRouter), local (Ollama/LMStudio), or mixed configurations.

Key Features

  • ✅ OpenRouter: 200+ cloud models (GPT-4, Claude, Gemini)
  • ✅ Ollama: Local models with correct API implementation
  • ✅ LMStudio: Local models via OpenAI-compatible interface
  • ✅ Mixed mode: Combine any providers freely
  • ✅ 100% backward compatible

Configuration Examples

Cloud only:

COUNCIL_MODELS = ["openai/gpt-4", "anthropic/claude-sonnet-4"]

Local only (100% private):
COUNCIL_MODELS = ["ollama:llama2", "ollama:mistral"]

Mixed mode:
COUNCIL_MODELS = ["ollama:llama2", "openrouter:gpt-4"]
CHAIRMAN_MODEL = "openrouter:anthropic/claude-sonnet-4"

What's Included

- Complete provider abstraction layer (backend/providers/)
- Comprehensive setup guide (SETUP.md)
- Provider validation tests (test_providers.py)
- Updated documentation (CLAUDE.md)
- Configuration examples (.env.example)

Advantages Over PR #76

-LMStudio support (not just Ollama)
-Correct Ollama API implementation
-Model-level provider specification (more flexible)
-Built-in provider validation
-Comprehensive testing & documentation
-Factory pattern architecture

TestingAll tests passingBackend starts without errorsBackward compatible

See SETUP.md for complete setup instructions.

Implements a comprehensive provider abstraction system enabling flexible
LLM backend configuration with support for cloud and local models.

## Features

### Provider Support
- OpenRouter: Access to GPT-4, Claude, Gemini, and 200+ models
- Ollama: Local models with proper API integration
- LMStudio: Local models via OpenAI-compatible interface

### Flexible Configuration
- Model-level provider specification: "provider:model" format
- Mixed mode: Combine any providers (e.g., local council + cloud chairman)
- Backward compatible: Existing configs continue to work

### Architecture
- Provider abstraction layer (backend/providers/)
- Factory pattern for automatic model routing
- Parallel execution across multiple providers
- Graceful degradation on provider failures

## New Files
- backend/providers/ - Complete provider abstraction
  - base.py: Abstract Provider interface
  - openrouter.py: Cloud provider implementation
  - ollama.py: Local Ollama provider (fixed API usage)
  - lmstudio.py: Local LMStudio provider
  - factory.py: Smart routing and provider management
- .env.example: Configuration examples for all modes
- SETUP.md: Comprehensive setup guide
- requirements.txt: Easy dependency installation
- test_providers.py: Provider validation script

## Modified Files
- backend/config.py: New configuration system with provider settings
- backend/council.py: Refactored to use ProviderFactory
- CLAUDE.md: Updated architecture documentation
- .gitignore: Added IDE directories

## Configuration Examples

Cloud only:
  COUNCIL_MODELS = ["openai/gpt-4", "anthropic/claude-sonnet-4"]

Local only:
  COUNCIL_MODELS = ["ollama:llama2", "ollama:mistral"]

Mixed mode:
  COUNCIL_MODELS = ["ollama:llama2", "openrouter:gpt-4"]
  CHAIRMAN_MODEL = "openrouter:anthropic/claude-sonnet-4"

## Testing
- All provider tests passing
- Backend starts without errors
- Backward compatible with existing installations

## Advantages Over PR karpathy#76
- LMStudio support (not just Ollama)
- Model-level provider specification (more flexible)
- Correct Ollama API implementation
- Comprehensive documentation and testing
- Factory pattern for cleaner architecture

🤖 Generated with Claude Code (https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <[email protected]>
@Th0mYT Th0mYT changed the title feat: Add multi-provider support (OpenRouter, Ollama, LMStudio) feat: Extends multi-provider support (OpenRouter, Ollama, LMStudio) Dec 8, 2025
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