# Session Context Integration Fix

## Problem Identified

User reported that session context is not working:
- Second question "Tell me more about his career decorations" should have known "his" refers to "Sam Altman" from the first question
- But the response was generic, suggesting no context retention

## Root Cause Analysis

From logs:
```
Session ID: d5e8171f  (SAME for both messages ✓)
Context retrieved: 0 interactions  (BUG! ❌)
```

The session ID persists correctly, but **context is returning 0 interactions** even though the first interaction was saved to the database.

## Fixes Applied

### 1. Fixed Context Structure (`context_manager.py`)

**Problem:** `_optimize_context()` was stripping the context and returning only a subset:
```python
return {
    "essential_entities": self._extract_entities(context),
    "conversation_summary": self._generate_summary(context),
    "recent_interactions": context.get("interactions", [])[-3:],  # Only 3 items
    "user_preferences": context.get("preferences", {}),
    "active_tasks": context.get("active_tasks", [])
}
```

**Solution:** Return full context structure including all interactions:
```python
return {
    "session_id": context.get("session_id"),
    "interactions": context.get("interactions", []),  # Full history
    "preferences": context.get("preferences", {}),
    "active_tasks": context.get("active_tasks", []),
    "essential_entities": self._extract_entities(context),
    "conversation_summary": self._generate_summary(context),
    "last_activity": context.get("last_activity")
}
```

### 2. Enhanced Synthesis Agent with Context (`src/agents/synthesis_agent.py`)

**Problem:** Prompt didn't include conversation history.

**Solution:** Modified `_build_synthesis_prompt()` to include conversation history:
```python
# Extract conversation history for context
conversation_history = ""
if context and context.get('interactions'):
    recent_interactions = context.get('interactions', [])[:3]  # Last 3 interactions
    if recent_interactions:
        conversation_history = "\n\nPrevious conversation context:\n"
        for i, interaction in enumerate(reversed(recent_interactions), 1):
            user_msg = interaction.get('user_input', '')
            if user_msg:
                conversation_history += f"{i}. User asked: {user_msg}\n"
```

Now the prompt includes:
```
User Question: Tell me more about his career decorations

Previous conversation context:
1. User asked: Who is the CEO of OpenAI?

Instructions: Provide a comprehensive, helpful response that directly addresses the question. If there's conversation context, use it to answer the current question appropriately. Be detailed and informative.

Response:
```

### 3. Added Debugging (`src/agents/synthesis_agent.py`)

Added logging to track context flow:
```python
# Log context for debugging
if context:
    logger.info(f"{self.agent_id} context has {len(context.get('interactions', []))} interactions")
```

## Expected Behavior After Fix

### Example Conversation:

**Q1:** "Who is the CEO of OpenAI?"
- Session ID: `d5e8171f`
- Context: `[]` (empty, first message)
- Response: "Sam Altman"
- Saved to DB: `interactions` table

**Q2:** "Tell me more about his career decorations"
- Session ID: `d5e8171f` (same)
- Context: `[{"user_input": "Who is the CEO of OpenAI?", ...}]`
- **LLM Prompt:**
  ```
  User Question: Tell me more about his career decorations
  
  Previous conversation context:
  1. User asked: Who is the CEO of OpenAI?
  
  Instructions: ...use conversation context...
  ```
- Response: "Sam Altman's career decorations include..."
- Uses "his" = "Sam Altman" from context ✓

## Testing

To verify the fix works:

1. Ask: "Who is the CEO of OpenAI?"
2. Check logs for "Context retrieved: 1 interactions"
3. Ask follow-up: "Tell me more about him"
4. Verify response mentions Sam Altman (not generic)

## Files Modified

- `context_manager.py` - Fixed context structure
- `src/agents/synthesis_agent.py` - Added conversation history to prompt
- Added debugging logs

## Next Steps

The fix is ready to test. The changes ensure:
1. ✅ Full interaction history is preserved in context
2. ✅ Conversation history is included in LLM prompts
3. ✅ Follow-up questions can refer to previous messages
4. ✅ Session persistence works end-to-end