新增对话接口

src/routers/deep_agent_chat.py

@@ -175,8 +175,7 @@ async def chat_stream(request: ChatRequest):
         await main_agent.aupdate_state(current_config, combined_values)
 
     async def event_generator() -> AsyncGenerator[str, None]:
-        yield f"data: {json.dumps({'thread_id': target_thread_id, 'is_branch': is_branching, 'status': 'start'}, ensure_ascii=False)}\n\n"
-
+        is_first = True
         new_messages = initial_messages[:] if not source_thread_id else []
         new_messages.append(HumanMessage(content=request.message))
 
@@ -189,6 +188,10 @@ async def chat_stream(request: ChatRequest):
                 stream_mode=["updates", "messages", "custom"],
                 subgraphs=True
         ):
+            if is_first:
+                checkpoint_id = main_agent.get_state(current_config).config.get("configurable").get("checkpoint_id")
+                yield f"data: {json.dumps({'thread_id': target_thread_id, 'is_branch': is_branching, 'status': 'start', "checkpoint_id": checkpoint_id}, ensure_ascii=False)}\n\n"
+                is_first = False
             _, mode, chunks = stream
             if mode == "updates":  # 只做记录 不做事件返回
                 print(f"[updates] {chunks}")
@@ -304,7 +307,7 @@ async def chat_stream(request: ChatRequest):
                     yield f"data: {json.dumps(payload_out, ensure_ascii=False)}\n\n"
 
         if request.need_suggestion > 0 and random.random() < request.need_suggestion:
-            suggested_questions = generate_suggested_questions(main_agent, target_thread_id)
+            suggested_questions = await generate_suggested_questions(main_agent, target_thread_id)
             yield f"data: {json.dumps({'suggested_questions': suggested_questions}, ensure_ascii=False)}\n\n"
         yield f"data: {json.dumps({'status': 'end'}, ensure_ascii=False)}\n\n"
 

src/server/deep_agent/agents/researcher.py

@@ -7,7 +7,7 @@ from src.server.deep_agent.tools.structured_retrieval_tool import structured_ret
 from src.server.deep_agent.tools.user_persona_tool import query_report_profile
 
 research_subagent = {
-    "name": "research-agent",
+    "name": "research_subagent",
     "description": "通过网络搜索对家具设计开展深度研究并整合结论",
     "system_prompt": build_researcher_prompt(),
     "tools": [

src/server/deep_agent/tools/generate_furniture_sketch.py

@@ -65,30 +65,9 @@ async def generate_furniture(prompt: str) -> str:
             # 4. 构造访问链接 (如果是私有 bucket，需使用 presigned_get_object)
             # 这里简单示例为直接访问地址
             image_url = f"{bucket}/{object_name}"
-            return json.dumps(
-                {
-                    "tool_name": "generate_furniture",
-                    "data": image_url,
-                    "tool_status": "success"
-                },
-                ensure_ascii=False
-            )
+            return image_url
         else:
-            return json.dumps(
-                {
-                    "tool_name": "generate_furniture",
-                    "data": "图片生成成功，但上传至存储服务器失败。",
-                    "tool_status": "error"
-                },
-                ensure_ascii=False
-            )
+            return "图片生成成功，但上传至存储服务器失败。"
     except Exception as e:
         logger.warning(e)
-        return json.dumps(
-            {
-                "tool_name": "generate_furniture",
-                "data": f"绘图流程异常",
-                "tool_status": "error"
-            },
-            ensure_ascii=False
-        )
+        return "绘图流程异常"