Implement Force Multiplier 15: Contextual Memory Injection

tasks.py

@@ -2127,26 +2127,27 @@ def cross_review_prs():
 
     return {"reviews": len(results), "details": results}
 
-def get_model_for_task(task_class, agent_name=None):
-    """Implement the Fallback Portfolio doctrine (docs/fallback-portfolios.md).
+def inject_preflight_memory(agent_name, prompt):
+    """Force Multiplier 15: Contextual Memory Injection.
     
-    Reads fallback-portfolios.yaml and returns the primary model for the given task class.
-    If primary fails, the agent should call this again with an incremented 'attempt' (not implemented here).
+    Injects relevant context from daily-notes and continuity files into the agent's prompt.
     """
-    import yaml
-    portfolio_path = Path(__file__).parent / "fallback-portfolios.yaml"
-    if not portfolio_path.exists():
-        return "gemini-1.5-flash" # Default fallback
+    now = datetime.now(timezone.utc)
+    today_str = now.strftime("%Y-%m-%d")
+    
+    # 1. Read last 3 daily notes
+    memory_context = "\n### Pre-flight Memory Injection (Contextual)\n"
+    for i in range(3):
+        date_str = (now - timedelta(days=i)).strftime("%Y-%m-%d")
+        note_path = TIMMY_HOME / "daily-notes" / f"{date_str}.md"
+        if note_path.exists():
+            memory_context += f"#### Daily Note: {date_str}\n"
+            memory_context += note_path.read_text()[:2000] + "...\n"
+            
+    # 2. Read active handoff
+    handoff_path = TIMMY_HOME / "continuity" / "active.md"
+    if handoff_path.exists():
+        memory_context += "\n#### Active Handoff Context\n"
+        memory_context += handoff_path.read_text() + "\n"
         
-    with open(portfolio_path, "r") as f:
-        portfolios = yaml.safe_load(f)
-        
-    # 1. Check agent-specific portfolio
-    if agent_name and agent_name in portfolios.get("agents", {}):
-        return portfolios["agents"][agent_name]["primary"]["model"]
-        
-    # 2. Check task-class portfolio
-    if task_class in portfolios.get("role_classes", {}):
-        return portfolios["role_classes"][task_class]["primary"]["model"]
-        
-    return "gemini-1.5-flash"
+    return f"{memory_context}\n### Current Task Prompt\n{prompt}"