# Live AI Call - No Summarization Update

## 🎯 Objective
Ensure the live AI call routes pass **ORIGINAL FULL CONTENT** to the AI model without any summarization or truncation.

---

## ✅ Changes Made to `/audio_generation/live_call_routes.py`

### 1. **Context Passing - NO Truncation**
```python
# BEFORE: Could truncate or summarize
# AFTER: Pass FULL original content exactly as-is
async def create_simple_context(session: CallSession, user_input: str) -> str:
    """Pass ORIGINAL context without ANY summarization or modification"""
    if session.study_context:
        logger.info(f"Passing FULL original context: {len(session.study_context)} chars")
        return session.study_context  # Return EXACTLY as-is, no modifications
    return ""
```

### 2. **Enhanced Prompt Creation**
```python
def create_simple_prompt(session: CallSession, user_input: str, context: str) -> str:
    """Create prompt with FULL context for AI - no summarization or truncation"""
    
    # Detects content type (Quiz, Notes, etc)
    is_quiz = "QUIZ" in context or "Q&A QUESTION" in context
    is_notes = "=== FULL NOTES CONTENT FOR AI ANALYSIS ===" in context
    
    # Uses custom system_prompt from Flutter if provided
    system_instructions = session.system_prompt if session.system_prompt else default_prompt
    
    # Builds prompt with COMPLETE content
    prompt = f"""{system_instructions}
    
    {history_context}  # FULL conversation history
    
    Student question: "{user_input}"
    
    COMPLETE STUDY MATERIAL (Analyze all content below):
    {context}  # FULL context, no truncation
    
    IMPORTANT INSTRUCTIONS:
    - You have access to the FULL context above
    - Reference specific information from the study material
    - Provide detailed, accurate responses based on complete content
    """
```

### 3. **Session Storage - Full Content**
```python
session = CallSession(
    study_context=study_context,  # Store FULL content as-is
    system_prompt=data.get('system_prompt', ''),  # Store custom instructions
    conversation_history=deque(maxlen=500)  # Increased from 20 to 500
)

# Keep ALL conversation history from Flutter
if data.get('conversation_history'):
    for msg in data['conversation_history']:  # No truncation
        session.conversation_history.append(msg)
```

### 4. **Conversation History - Complete**
```python
def build_conversation_context(conversation_history: deque) -> str:
    """Build conversation history - FULL context for quiz/notes"""
    
    recent_messages = list(conversation_history)  # Use ALL history
    
    for msg in recent_messages:
        # Keep FULL messages, no truncation
        if role == 'user':
            history_text += f"Student: {content}\n"  # Full content
        elif role == 'assistant':
            history_text += f"You: {content}\n"  # Full content
```

### 5. **AI Response Generation**
```python
async def generate_ai_response(session, user_input, context):
    """Generate AI response with FULL original context"""
    
    # Log to verify full content is being used
    logger.info(f"Generating AI response with full context: {len(context)} chars")
    logger.info(f"Sending prompt to AI model: {len(prompt)} chars total")
    
    response = await client.chat.completions.create(
        model=model_name,
        messages=[{"role": "user", "content": prompt}],  # Full prompt
        max_tokens=500  # Sufficient for voice responses
    )
```

---

## 📊 Content Flow Verification

### **From Flutter App:**
```dart
LiveAICallConfig(
    study_context: _generateTopicContext(),  // Full notes/quiz content
    system_prompt: _generateSystemPrompt(),  // Custom instructions
    conversation_history: [...]  // All previous messages
)
```

### **To API Server:**
```python
# Receives at /api/audio_generation/live-call/start
study_context = data.get('study_context', '')  # Full content
logger.info(f"Received COMPLETE study_context: {len(study_context)} chars")
```

### **To AI Model:**
```python
# Full context passed without modification
context = await create_simple_context(session, text)  # Returns full study_context
prompt = create_simple_prompt(session, user_input, context)  # Uses full context
# AI model receives complete prompt with all content
```

---

## 🔍 Logging Added for Verification

1. **Context Reception:**
   - `"Received COMPLETE study_context: [X] chars"`
   - `"Content type: Full notes for AI analysis"` or `"Content type: Quiz/Q&A questions"`

2. **Context Passing:**
   - `"Passing FULL original context without modification: [X] chars"`
   - `"Context type: Full notes content detected"` or `"Context type: Quiz/Q&A content detected"`

3. **AI Processing:**
   - `"Generating AI response with full context: [X] chars"`
   - `"Sending prompt to AI model: [X] chars total"`

---

## ✅ What's Guaranteed Now

1. **NO Content Truncation:**
   - Notes: Full content (even 10,000+ chars)
   - Quiz: Complete questions with all options
   - History: All conversation messages

2. **Original Content Preserved:**
   - Study context passed exactly as received
   - No summarization or modification
   - Complete context available to AI

3. **Custom Instructions Honored:**
   - Flutter's system_prompt is used if provided
   - Content-specific instructions added (quiz vs notes)

4. **Full Context in First Chat:**
   - Initial context loaded completely on session start
   - No progressive loading or chunking
   - AI has full visibility from first interaction

---

## 🚀 Result

The AI model now receives:
- **100% of study material** (notes, quiz questions, etc.)
- **Complete conversation history** (up to 500 messages)
- **Custom system prompts** from Flutter app
- **Full context from the first message** (no warm-up needed)

This ensures the AI can provide **accurate, context-aware responses** based on the complete educational content without any information loss.
