Research_AI_Assistant / SESSION_CONTEXT_FIX.md
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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 βœ“)
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:

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:

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:

# 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:

# 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 βœ“

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. βœ… Full interaction history is preserved in context
  2. βœ… Conversation history is included in LLM prompts
  3. βœ… Follow-up questions can refer to previous messages
  4. βœ… Session persistence works end-to-end