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OLLAMA_IMPLEMENTATION_STATUS.md

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Ollama Implementation Status

Completed ✅

1. Core Model Infrastructure

  • ✅ Updated LLMInfo interface to support Ollama provider
  • ✅ Added isOllamaModel and ollamaEndpoint fields
  • ✅ Created OLLAMA_MODELS array for dynamic model storage
  • ✅ Added Ollama helper functions:
    • isOllamaAvailable() - Check if Ollama is running
    • fetchOllamaModels() - Get models from Ollama API
    • updateOllamaModels() - Update global model list
    • getAllAvailableLLMs() - Get all models including Ollama
  • ✅ Updated groupLLMsByProvider() to include Ollama models
  • ✅ Added Ollama category ordering

2. Translations

  • ✅ Added modelCategory_Ollama translation
  • ✅ Updated API keys required description to mention Ollama
  • ✅ Added Ollama setup translations

Completed ✅

3. Frontend Components ✅ COMPLETE

  • ✅ Updated LandingPage to show Ollama status
  • ✅ Added Ollama detection on page load via useOllama hook
  • ✅ Updated SessionSetupForm to show Ollama models
  • ✅ Added Ollama status indicators on both pages
  • ✅ Dynamic model loading from local Ollama instance

4. Firebase Functions ✅ COMPLETE

  • ✅ Added Ollama handler in agentOrchestrator.ts
  • ✅ Added Ollama handler in index.ts
  • ✅ Handle Ollama API calls via Ollama SDK
  • ✅ Added Ollama streaming support
  • ✅ Updated type definitions
  • ✅ Skip API key requirement for Ollama
  • ✅ Functions compile successfully

5. Settings Page

  • ⏳ Optional: Add Ollama endpoint configuration (for advanced users)
  • ⏳ Optional: Add detailed Ollama setup instructions

Ready to Test! 🎉

The core Ollama implementation is COMPLETE! You can now:

  1. ✅ Start a conversation with Ollama models
  2. ✅ See Ollama status on landing page
  3. ✅ Select Ollama models in conversation setup
  4. ✅ Stream responses from local Ollama
  5. ✅ Use Ollama Cloud models (if signed in to Ollama)

Testing Instructions 📋

  1. Make sure Ollama is running (it already is on your machine!)
  2. Set CORS (if accessing from deployed site): 
    OLLAMA_ORIGINS=http://localhost:3000 ollama serve
  3. Start your dev server: 
    npm run dev
  4. Visit the landing page - you should see "Ollama detected!"
  5. Sign in and create a conversation - Ollama models should appear in the dropdown
  6. Select an Ollama model (e.g., llama2, mistral, etc.)
  7. Start the conversation - it should stream from your local Ollama!

Technical Notes 📝

Ollama API Endpoints

  • List models: GET http://localhost:11434/api/tags
  • Chat: POST http://localhost:11434/api/chat
  • Streaming: Same endpoint with stream: true

Implementation Approach

  • Client-side detection of Ollama availability
  • Firebase Functions proxy for actual API calls (consistent with Mistral pattern)
  • Dynamic model loading on page load
  • No API key required for local Ollama

CORS Configuration

User needs to set: OLLAMA_ORIGINS=https://yourdomain.com when starting Ollama