# Session Context Every Turn - Implementation Summary ## Overview Modified the system to generate and use session context at every conversation turn, following the same pattern as interaction contexts. Session context is now available from cache for all agents and components. ## Changes Implemented ### 1. Session Context Generation at Every Turn **Location**: `src/orchestrator_engine.py` (lines 451-457) **Change**: Added session context generation after interaction context generation, at every turn. ```python # STEP 3: Generate Session Context after each response (100 tokens) # Uses cached interaction contexts, updates database and cache try: await self.context_manager.generate_session_context(session_id, user_id) # Cache is automatically updated by generate_session_context() except Exception as e: logger.error(f"Error generating session context: {e}", exc_info=True) ``` **Impact**: Session context is now generated and available for every turn, not just at session end. ### 2. Session Context Uses Cache (Not Database) **Location**: `src/context_manager.py` - `generate_session_context()` (lines 463-542) **Change**: Modified to use cached interaction contexts instead of querying database. **Before**: Queried database for all interaction contexts ```python cursor.execute("SELECT interaction_summary FROM interaction_contexts WHERE session_id = ?") ``` **After**: Uses cached interaction contexts ```python # Get interaction contexts from cache (no database query) session_cache_key = f"session_{session_id}" cached_context = self.session_cache.get(session_cache_key) interaction_contexts = cached_context.get('interaction_contexts', []) ``` **Impact**: Faster session context generation, no database queries during conversation. ### 3. Session Context Cache Update **Location**: `src/context_manager.py` - `_update_cache_with_session_context()` (lines 826-859) **Change**: Added method to update cache immediately after database write, same pattern as interaction contexts. ```python def _update_cache_with_session_context(self, session_id: str, session_summary: str, created_at: str): """Update cache with new session context immediately after database update""" cached_context['session_context'] = { "summary": session_summary, "timestamp": created_at } self.session_cache[session_cache_key] = cached_context ``` **Impact**: Cache stays synchronized with database, no queries needed for subsequent requests. ### 4. Session Context Included in Context Structure **Location**: `src/context_manager.py` - `_optimize_context()` (lines 570-604) **Change**: Added session context to optimized context structure and `combined_context` string. **Before**: ```python combined_context = "[User Context]...\n[Interaction Contexts]..." ``` **After**: ```python combined_context = "[Session Context]...\n[User Context]...\n[Interaction Contexts]..." ``` **Impact**: Session context now available in `combined_context` for all agents. ### 5. Session Context Retrieved from Database on Cache Miss **Location**: `src/context_manager.py` - `_retrieve_from_db()` (lines 707-725) **Change**: Added query to retrieve session context when loading from database (cache miss only). ```python # Get session context from database cursor.execute(""" SELECT session_summary, created_at FROM session_contexts WHERE session_id = ? ORDER BY created_at DESC LIMIT 1 """, (session_id,)) ``` **Impact**: Session context available even on cache miss (first request or cache expiration). ### 6. All Agents Updated to Use Session Context #### Intent Agent (`src/agents/intent_agent.py`) - **Lines 115-122**: Added session context extraction from cache - **Usage**: Includes session context in intent recognition prompt #### Skills Identification Agent (`src/agents/skills_identification_agent.py`) - **Lines 230-236**: Added session context extraction from cache - **Usage**: Includes session context in market analysis prompt #### Safety Agent (`src/agents/safety_agent.py`) - **Lines 158-164**: Added session context extraction from cache - **Usage**: Includes session context in safety analysis prompt #### Synthesis Agent (`src/agents/synthesis_agent.py`) - **Lines 552-561**: Added session context extraction from cache - **Usage**: Includes session context in response synthesis prompt ### 7. Orchestrator Context Summary Updated **Location**: `src/orchestrator_engine.py` - `_build_context_summary()` (lines 651-673) **Change**: Added session context to context summary used for task execution. ```python # Extract session context (from cache) session_context = context.get('session_context', {}) session_summary = session_context.get('summary', '') if isinstance(session_context, dict) else "" if session_summary: summary_parts.append(f"Session summary: {session_summary[:150]}") ``` **Impact**: Task execution prompts now include session context. ## Context Structure Context now includes session context: ```python context = { "session_id": str, "user_id": str, "user_context": str, # 500-token user persona summary (from cache) "session_context": { # 100-token session summary (from cache) "summary": str, "timestamp": str }, "interaction_contexts": [ # List of interaction summaries (from cache) { "summary": str, # 50-token interaction summary "timestamp": str }, ... ], "combined_context": str, # Pre-formatted: "[Session Context]\n[User Context]\n[Interaction Contexts]" "preferences": dict, "active_tasks": list, "last_activity": str } ``` ## Flow Diagram ### Every Conversation Turn: ``` 1. User Request ↓ 2. Context Retrieved (from cache) - Session Context: ✅ Available from cache - User Context: ✅ Available from cache - Interaction Contexts: ✅ Available from cache ↓ 3. Agents Execute - Intent Agent: Uses session context from cache ✅ - Skills Agent: Uses session context from cache ✅ - Synthesis Agent: Uses session context from cache ✅ - Safety Agent: Uses session context from cache ✅ ↓ 4. Response Generated ↓ 5. Interaction Context Generated - Store in DB - Update cache immediately ✅ ↓ 6. Session Context Generated (NEW - every turn) - Uses cached interaction contexts (no DB query) ✅ - Store in DB - Update cache immediately ✅ ↓ 7. Next Request: All contexts available from cache ✅ ``` ## Benefits 1. **Session Context Available Every Turn**: Agents can use session summary for better context awareness 2. **No Database Queries**: Session context generation uses cached interaction contexts 3. **Cache Synchronization**: Cache updated immediately when database is updated 4. **Better Context Awareness**: Agents have access to session-level summary in addition to interaction-level summaries 5. **Consistent Pattern**: Session context follows same pattern as interaction context (generate → store → cache) ## Files Modified 1. `src/orchestrator_engine.py`: - Added session context generation at every turn (lines 451-457) - Updated `_build_context_summary()` to include session context (lines 655-659) 2. `src/context_manager.py`: - Modified `generate_session_context()` to use cache (lines 470-485) - Added `_update_cache_with_session_context()` method (lines 826-859) - Updated `_optimize_context()` to include session context (lines 577-592) - Updated `_retrieve_from_db()` to load session context (lines 707-725) - Updated all return statements to include session_context field 3. `src/agents/intent_agent.py`: - Added session context extraction and usage (lines 115-122) 4. `src/agents/skills_identification_agent.py`: - Added session context extraction and usage (lines 230-236) 5. `src/agents/safety_agent.py`: - Added session context extraction and usage (lines 158-164) 6. `src/agents/synthesis_agent.py`: - Added session context extraction and usage (lines 552-561) ## Verification All agents now: - ✅ Receive context from orchestrator (cache-only) - ✅ Have access to session_context from cache - ✅ Include session context in their prompts/tasks - ✅ Never query database directly (all context from cache)