feat(mma): Implement track-scoped history and optimized sub-agent toolsets

project_manager.py

@@ -225,11 +225,17 @@ def migrate_from_legacy_config(cfg: dict) -> dict:
 
 # ── flat config for aggregate.run() ─────────────────────────────────────────
 
-def flat_config(proj: dict, disc_name: str | None = None) -> dict:
+def flat_config(proj: dict, disc_name: str | None = None, track_id: str | None = None) -> dict:
     """Return a flat config dict compatible with aggregate.run()."""
     disc_sec  = proj.get("discussion", {})
-    name      = disc_name or disc_sec.get("active", "main")
-    disc_data = disc_sec.get("discussions", {}).get(name, {})
+    
+    if track_id:
+        history = load_track_history(track_id, proj.get("files", {}).get("base_dir", "."))
+    else:
+        name      = disc_name or disc_sec.get("active", "main")
+        disc_data = disc_sec.get("discussions", {}).get(name, {})
+        history   = disc_data.get("history", [])
+
     return {
         "project":     proj.get("project", {}),
         "output":      proj.get("output", {}),
@@ -237,7 +243,7 @@ def flat_config(proj: dict, disc_name: str | None = None) -> dict:
         "screenshots": proj.get("screenshots", {}),
         "discussion":  {
             "roles":   disc_sec.get("roles", []),
-            "history": disc_data.get("history", []),
+            "history": history,
         },
     }
 
@@ -267,3 +273,39 @@ def load_track_state(track_id: str, base_dir: str | Path = ".") -> 'TrackState':
     with open(state_file, "rb") as f:
         data = tomllib.load(f)
     return TrackState.from_dict(data)
+
+
+def load_track_history(track_id: str, base_dir: str | Path = ".") -> list:
+    """
+    Loads the discussion history for a specific track from its state.toml.
+    Returns a list of entry strings formatted with @timestamp.
+    """
+    from models import TrackState
+    state = load_track_state(track_id, base_dir)
+    if not state:
+        return []
+        
+    history = []
+    for entry in state.discussion:
+        e = dict(entry)
+        ts = e.get("ts")
+        if isinstance(ts, datetime.datetime):
+            e["ts"] = ts.strftime(TS_FMT)
+        history.append(entry_to_str(e))
+    return history
+
+
+def save_track_history(track_id: str, history: list, base_dir: str | Path = "."):
+    """
+    Saves the discussion history for a specific track to its state.toml.
+    'history' is expected to be a list of formatted strings.
+    """
+    from models import TrackState
+    state = load_track_state(track_id, base_dir)
+    if not state:
+        return
+        
+    roles = ["User", "AI", "Vendor API", "System", "Reasoning"]
+    entries = [str_to_entry(h, roles) for h in history]
+    state.discussion = entries
+    save_track_state(track_id, state, base_dir)