# Novita AI Implementation Summary

## ✅ Implementation Complete

All changes have been implemented to switch from local models to Novita AI API as the only inference source.

## 📋 Files Modified

### 1. ✅ `src/config.py`
- Added Novita AI configuration section with:
  - `novita_api_key` (required, validated)
  - `novita_base_url` (default: https://api.novita.ai/dedicated/v1/openai)
  - `novita_model` (default: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B:de-1a706eeafbf3ebc2)
  - `deepseek_r1_temperature` (default: 0.6, validated 0.5-0.7 range)
  - `deepseek_r1_force_reasoning` (default: True)
  - Token allocation configuration:
    - `user_input_max_tokens` (default: 8000)
    - `context_preparation_budget` (default: 28000)
    - `context_pruning_threshold` (default: 28000)
    - `prioritize_user_input` (default: True)

### 2. ✅ `requirements.txt`
- Added `openai>=1.0.0` package

### 3. ✅ `src/models_config.py`
- Changed `primary_provider` from "local" to "novita_api"
- Updated all model IDs to Novita model ID
- Added DeepSeek-R1 optimized parameters:
  - Temperature: 0.6 for reasoning, 0.5 for classification/safety
  - Top_p: 0.95 for reasoning, 0.9 for classification
  - `force_reasoning_prefix: True` for reasoning tasks
- Removed all local model configuration (quantization, fallbacks)

### 4. ✅ `src/llm_router.py` (Complete Rewrite)
- Removed all local model loading code
- Removed `LocalModelLoader` dependencies
- Added OpenAI client initialization
- Implemented `_call_novita_api()` method
- Added DeepSeek-R1 optimizations:
  - `_format_deepseek_r1_prompt()` - reasoning trigger and math directives
  - `_is_math_query()` - automatic math detection
  - `_clean_reasoning_tags()` - response cleanup
- Updated `prepare_context_for_llm()` with:
  - User input priority (never truncated)
  - Dedicated 8K token budget for user input
  - 28K token context preparation budget
  - Dynamic context allocation
- Updated `health_check()` for Novita API
- Removed all local model methods

### 5. ✅ `flask_api_standalone.py`
- Updated `initialize_orchestrator()`:
  - Changed to "Novita AI API Only" mode
  - Removed HF_TOKEN dependency
  - Set `use_local_models=False`
  - Updated error handling for configuration errors
- Increased `MAX_MESSAGE_LENGTH` from 10KB to 100KB
- Updated logging messages

### 6. ✅ `src/context_manager.py`
- Updated `prune_context()` to use config threshold (28000 tokens)
- Increased user input storage from 500 to 5000 characters
- Increased system response storage from 1000 to 2000 characters
- Updated interaction context generation to use more of user input

## 📝 Environment Variables Required

Create a `.env` file with the following (see `.env.example` for full template):

```bash
# REQUIRED - Novita AI Configuration
NOVITA_API_KEY=your_api_key_here
NOVITA_BASE_URL=https://api.novita.ai/dedicated/v1/openai
NOVITA_MODEL=deepseek-ai/DeepSeek-R1-Distill-Qwen-7B:de-1a706eeafbf3ebc2

# DeepSeek-R1 Optimized Settings
DEEPSEEK_R1_TEMPERATURE=0.6
DEEPSEEK_R1_FORCE_REASONING=True

# Token Allocation (Optional - defaults provided)
USER_INPUT_MAX_TOKENS=8000
CONTEXT_PREPARATION_BUDGET=28000
CONTEXT_PRUNING_THRESHOLD=28000
PRIORITIZE_USER_INPUT=True
```

## 🚀 Installation Steps

1. **Install dependencies:**
   ```bash
   pip install -r requirements.txt
   ```

2. **Create `.env` file:**
   ```bash
   cp .env.example .env
   # Edit .env and add your NOVITA_API_KEY
   ```

3. **Set environment variables:**
   ```bash
   export NOVITA_API_KEY=your_api_key_here
   export NOVITA_BASE_URL=https://api.novita.ai/dedicated/v1/openai
   export NOVITA_MODEL=deepseek-ai/DeepSeek-R1-Distill-Qwen-7B:de-1a706eeafbf3ebc2
   ```

4. **Start the application:**
   ```bash
   python flask_api_standalone.py
   ```

## ✨ Key Features Implemented

### DeepSeek-R1 Optimizations
- ✅ Temperature set to 0.6 (recommended range 0.5-0.7)
- ✅ Reasoning trigger (`<think>` prefix) for reasoning tasks
- ✅ Automatic math directive detection
- ✅ No system prompts (all instructions in user prompt)

### Token Allocation
- ✅ User input: 8K tokens dedicated budget (never truncated)
- ✅ Context preparation: 28K tokens total budget
- ✅ Context pruning: 28K token threshold
- ✅ User input always prioritized over historical context

### API Improvements
- ✅ Message length limit: 100KB (increased from 10KB)
- ✅ Better error messages with token estimates
- ✅ Configuration validation with helpful error messages

### Database Storage
- ✅ User input storage: 5000 characters (increased from 500)
- ✅ System response storage: 2000 characters (increased from 1000)

## 🧪 Testing Checklist

- [ ] Test API health check endpoint
- [ ] Test simple inference request
- [ ] Test large user input (5K+ tokens)
- [ ] Test reasoning tasks (should see reasoning trigger)
- [ ] Test math queries (should see math directive)
- [ ] Test context preparation (user input should not be truncated)
- [ ] Test error handling (missing API key, invalid endpoint)

## 📊 Expected Behavior

1. **Startup:**
   - System initializes Novita AI client
   - Validates API key is present
   - Logs Novita AI configuration

2. **Inference:**
   - All requests routed to Novita AI API
   - DeepSeek-R1 optimizations applied automatically
   - User input prioritized in context preparation

3. **Error Handling:**
   - Clear error messages if API key missing
   - Helpful guidance for configuration issues
   - Graceful handling of API failures

## 🔧 Troubleshooting

### Issue: "NOVITA_API_KEY is required"
**Solution:** Set the environment variable:
```bash
export NOVITA_API_KEY=your_key_here
```

### Issue: "openai package not available"
**Solution:** Install dependencies:
```bash
pip install -r requirements.txt
```

### Issue: API connection errors
**Solution:** 
- Verify API key is correct
- Check base URL matches your endpoint
- Verify model ID matches your deployment

## 📚 Configuration Reference

### Model Configuration
- **Model ID:** `deepseek-ai/DeepSeek-R1-Distill-Qwen-7B:de-1a706eeafbf3ebc2`
- **Context Window:** 131,072 tokens (131K)
- **Optimized Settings:** Temperature 0.6, Top_p 0.95

### Token Allocation
- **User Input:** 8,000 tokens (dedicated, never truncated)
- **Context Budget:** 28,000 tokens (includes user input + context)
- **Output Limits:**
  - Reasoning: 4,096 tokens
  - Synthesis: 2,000 tokens
  - Classification: 512 tokens

## 🎯 Next Steps

1. Set your `NOVITA_API_KEY` in environment variables
2. Test the health check endpoint: `GET /api/health`
3. Send a test request: `POST /api/chat`
4. Monitor logs for Novita AI API calls
5. Verify DeepSeek-R1 optimizations are working

## 📝 Notes

- All local model code has been removed
- System now depends entirely on Novita AI API
- No GPU/quantization configuration needed
- No model downloading required
- Faster startup (no model loading)