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 β)
Context retrieved: 0 interactions (BUG! β)
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:
interactionstable
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 β
Testing
To verify the fix works:
- Ask: "Who is the CEO of OpenAI?"
- Check logs for "Context retrieved: 1 interactions"
- Ask follow-up: "Tell me more about him"
- Verify response mentions Sam Altman (not generic)
Files Modified
context_manager.py- Fixed context structuresrc/agents/synthesis_agent.py- Added conversation history to prompt- Added debugging logs
Next Steps
The fix is ready to test. The changes ensure:
- β Full interaction history is preserved in context
- β Conversation history is included in LLM prompts
- β Follow-up questions can refer to previous messages
- β Session persistence works end-to-end