Add run-scoped skill and prompt asset management

backend/agents/portfolio_manager.py

@@ -12,9 +12,7 @@ from agentscope.message import Msg, TextBlock
 from agentscope.tool import Toolkit, ToolResponse
 
 from ..utils.progress import progress
-from .prompt_loader import PromptLoader
-
-_prompt_loader = PromptLoader()
+from .prompt_factory import build_agent_system_prompt, clear_prompt_factory_cache
 
 
 class PMAgent(ReActAgent):
@@ -36,6 +34,9 @@ class PMAgent(ReActAgent):
         margin_requirement: float = 0.25,
         config: Optional[Dict[str, Any]] = None,
         long_term_memory: Optional[LongTermMemoryBase] = None,
+        toolkit_factory: Any = None,
+        toolkit_factory_kwargs: Optional[Dict[str, Any]] = None,
+        toolkit: Optional[Toolkit] = None,
     ):
         self.config = config or {}
 
@@ -49,11 +50,28 @@ class PMAgent(ReActAgent):
 
         # Decisions made in current cycle
         self._decisions: Dict[str, Dict] = {}
+        toolkit_factory_kwargs = toolkit_factory_kwargs or {}
+        self._toolkit_factory = toolkit_factory
+        self._toolkit_factory_kwargs = toolkit_factory_kwargs
 
-        # Create toolkit
-        toolkit = self._create_toolkit()
+        # Create toolkit after local state is ready so bound tool methods can be registered.
+        if toolkit is None:
+            if toolkit_factory is not None:
+                toolkit = toolkit_factory(
+                    name,
+                    self.config.get("config_name", "default"),
+                    owner=self,
+                    **toolkit_factory_kwargs,
+                )
+            else:
+                toolkit = self._create_toolkit()
+        self.toolkit = toolkit
 
-        sys_prompt = _prompt_loader.load_prompt("portfolio_manager", "system")
+        sys_prompt = build_agent_system_prompt(
+            agent_id=name,
+            config_name=self.config.get("config_name", "default"),
+            toolkit=self.toolkit,
+        )
 
         kwargs = {
             "name": name,
@@ -186,3 +204,25 @@ class PMAgent(ReActAgent):
     def update_portfolio(self, portfolio: Dict[str, Any]):
         """Update portfolio after external execution"""
         self.portfolio.update(portfolio)
+
+    def reload_runtime_assets(self, active_skill_dirs: Optional[list] = None) -> None:
+        """Reload toolkit and system prompt from current run assets."""
+        from .toolkit_factory import create_agent_toolkit
+
+        clear_prompt_factory_cache()
+        toolkit_factory = self._toolkit_factory or create_agent_toolkit
+        toolkit_kwargs = dict(self._toolkit_factory_kwargs)
+        if active_skill_dirs is not None:
+            toolkit_kwargs["active_skill_dirs"] = active_skill_dirs
+
+        self.toolkit = toolkit_factory(
+            self.name,
+            self.config.get("config_name", "default"),
+            owner=self,
+            **toolkit_kwargs,
+        )
+        self.sys_prompt = build_agent_system_prompt(
+            agent_id=self.name,
+            config_name=self.config.get("config_name", "default"),
+            toolkit=self.toolkit,
+        )