fix(agent): Remove resources of planner agent

dbgpt/agent/core/plan/planner_agent.py

@@ -1,6 +1,6 @@
 """Planner Agent."""
 
-from typing import Any, Dict, List
+from typing import Any, Dict, List, Optional
 
 from dbgpt._private.pydantic import Field
 
@@ -160,6 +160,15 @@ def bind_agents(self, agents: List[ConversableAgent]) -> ConversableAgent:
         self.resource = ResourcePack(resources)
         return self
 
+    async def generate_resource_variables(
+        self, question: Optional[str] = None
+    ) -> Dict[str, Any]:
+        """Generate the resource variables."""
+        out_schema: Optional[str] = None
+        if self.actions and len(self.actions) > 0:
+            out_schema = self.actions[0].ai_out_schema
+        return {"out_schema": out_schema}
+
     def prepare_act_param(self) -> Dict[str, Any]:
         """Prepare the parameters for the act method."""
         return {

dbgpt/serve/agent/agents/controller.py

@@ -291,21 +291,13 @@ async def agent_team_chat_new(
             else:
                 raise ValueError(f"Unknown Agent Team Mode!{team_mode}")
             manager = (
-                await manager.bind(context)
-                .bind(llm_config)
-                .bind(depend_resource)
-                .bind(agent_memory)
-                .build()
+                await manager.bind(context).bind(llm_config).bind(agent_memory).build()
             )
             manager.hire(employees)
             recipient = manager
 
         user_proxy: UserProxyAgent = (
-            await UserProxyAgent()
-            .bind(context)
-            .bind(depend_resource)
-            .bind(agent_memory)
-            .build()
+            await UserProxyAgent().bind(context).bind(agent_memory).build()
         )
         if is_retry_chat:
             # retry chat