NOVITA_AI_IMPLEMENTATION_SUMMARY.md

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):

# 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:

   pip install -r requirements.txt
   

2. Create .env file:

   cp .env.example .env
   # Edit .env and add your NOVITA_API_KEY
   

3. Set environment variables:

   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:

   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:

export NOVITA_API_KEY=your_key_here

Issue: "openai package not available"

Solution: Install dependencies:

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)