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OPENROUTER_IMPLEMENTATION.md

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OpenRouter Implementation Summary

Changes Made

1. Replaced Mock Services with Real Implementations

In result-orchestrator.ts:

  1. Replaced createMockRAGService() with createRAGService():

    • Now connects to Supabase for vector embeddings
    • Uses SUPABASE_URL and SUPABASE_SERVICE_ROLE_KEY from environment
    • Queries the vector_embeddings table for RAG search

  2. Replaced createMockVectorStorageService() with createVectorStorageService():

    • Now connects to Supabase for vector storage
    • Queries the vector_chunks table
    • Implements proper search, store, and delete operations
    • Provides real tool results for agents

  3. Updated Agent Configuration in configureAgents():

    • Added OpenRouter configuration when OPENROUTER_API_KEY is present
    • Maps standard model names to OpenRouter format (e.g., 'gpt-4' → 'openai/gpt-4')
    • Sets provider to 'openrouter' and includes necessary headers
    • Passes OpenRouter API key and base URL to agents

2. Updated Agent Implementations

In chatgpt-agent.ts:

  1. Extended ChatGPTAgentConfig interface:

    • Added OpenRouter-specific fields: provider, openRouterApiKey, baseURL, headers

  2. Updated initOpenAIClient() method:

    • Checks if provider is 'openrouter' and uses OpenRouter configuration
    • Uses OpenRouter base URL: 'https://openrouter.ai/api/v1'
    • Includes required headers for OpenRouter
    • Falls back to direct OpenAI API if not using OpenRouter

  3. Created createClientWrapper() method:

    • Unified client wrapper for both OpenAI and OpenRouter
    • Handles API calls and response transformation

In claude-agent.ts:

  1. Extended ClaudeAgentConfig interface:

    • Added same OpenRouter fields as ChatGPTAgent

  2. Updated initClaudeClient() method:

    • Uses OpenAI SDK for OpenRouter (compatible with OpenRouter API)
    • Handles system prompts correctly for OpenRouter
    • Falls back to direct Anthropic API if not using OpenRouter

How It Works

  1. Environment Setup:

    OPENROUTER_API_KEY=sk-or-v1-xxxxx

  2. Model Mapping:

    • Standard models are mapped to OpenRouter format:
      • gpt-4 → openai/gpt-4
      • claude-3-5-sonnet → anthropic/claude-3.5-sonnet
      • deepseek-coder → deepseek/deepseek-coder

  3. Agent Flow:

    • ResultOrchestrator configures agents with OpenRouter settings
    • Each agent checks if it should use OpenRouter based on provider
    • Agents use OpenRouter API endpoint with proper authentication
    • Results are processed normally regardless of the provider

Benefits

  1. Unified Billing: All AI API calls go through OpenRouter
  2. Model Flexibility: Easy to switch between different models/providers
  3. No Mock Data: Agents now perform real analysis using actual AI models
  4. Vector DB Integration: Real context from Supabase vector storage

Testing

To test the implementation:

  1. Ensure OPENROUTER_API_KEY is set in .env
  2. Run the API server: npm run dev
  3. Use the test HTML page or API directly
  4. Agents should now return real analysis results

Troubleshooting

  1. Still getting 0 results?

    • Check if OPENROUTER_API_KEY is set
    • Verify Supabase credentials are correct
    • Check API logs for any errors
    • Ensure the repository exists and is accessible

  2. API errors?

    • Check OpenRouter dashboard for API key validity
    • Verify model names are correctly mapped
    • Check rate limits on OpenRouter