修复agent 中英文混乱问题，修复背景信息未使用问题

src/routers/deep_agent_chat.py

@@ -102,24 +102,23 @@ async def chat_stream(request: DeepAgentChatRequest):
     响应流包含三种类型的事件：会话开始、节点消息、会话结束
 
     """
-    if request.thread_id:
-        need_title = False
-    else:
-        need_title = True
+    # ===================== 简洁优化版 =====================
+    # 1. 线程与标题标记
+    need_title = not request.thread_id
     source_thread_id = request.thread_id
     checkpoint_id = request.checkpoint_id
 
-    # 1. 確定目標 thread_id
-    is_branching = source_thread_id and checkpoint_id
+    # 2. 目标线程 ID
+    is_branching = all([source_thread_id, checkpoint_id])
     target_thread_id = str(uuid.uuid4())[:8] if is_branching else (source_thread_id or str(uuid.uuid4())[:8])
-    # 构建主agent
-    workspace_dir = os.path.join(PROJECT_ROOT, f"agent_workspace/{target_thread_id}")
-    logger.info(f"chat request data: {request} | target_thread_id : workspace_dir: {workspace_dir}")
+
+    # 3. Agent 初始化
+    workspace_dir = os.path.join(PROJECT_ROOT, "agent_workspace", target_thread_id)
+    logger.info(f"chat request data: {request} | target_thread_id: {target_thread_id}, workspace_dir: {workspace_dir}")
     main_agent = build_main_agent(workspace_dir, request.enable_thinking)
 
-    # 2. 配置參數
+    # 4. 配置
     temp = request.config_params.temperature if request.config_params else 0.7
-
     current_config = {
         "recursion_limit": 120,
         "configurable": {
@@ -129,37 +128,38 @@ async def chat_stream(request: DeepAgentChatRequest):
         }
     }
 
-    # 3. 初始化消息 + 系統提示 TODO 写入数据库
+    # 5. 初始化系统消息
     initial_messages = []
     if not source_thread_id or is_branching:
-        if request.config_params:
-            cp = request.config_params
-            system_prompt = (
-                f"Current furniture design background settings：\n"
-                f"- type: {cp.type}\n"
-                f"- space/region: {cp.region}\n"
-                f"- style tendency: {cp.style}\n"
-                f"Please strictly follow the above settings in subsequent conversations。"
-            )
-            initial_messages.append(SystemMessage(content=system_prompt))
+        cp = request.config_params
+        if cp:
+            config_items = [
+                ("type", cp.type),
+                ("space/region", cp.region),
+                ("style tendency", cp.style)
+            ]
+            valid_lines = [f"- {k}: {v}" for k, v in config_items if v]
+            if valid_lines:
+                system_prompt = (
+                        "Current furniture design background settings：\n"
+                        + "\n".join(valid_lines) + "\n"
+                                                   "Please strictly follow the above settings in subsequent conversations。"
+                )
+                initial_messages.append(SystemMessage(content=system_prompt))
 
-    # 4. 處理分支（從歷史 checkpoint 複製狀態）
+    # 6. 分支处理
     if is_branching:
-        source_config = {
-            "configurable": {
-                "thread_id": source_thread_id,
-                "checkpoint_id": checkpoint_id
-            }
-        }
+        source_config = {"configurable": {"thread_id": source_thread_id, "checkpoint_id": checkpoint_id}}
         last_checkpoint_id = await get_branch_checkpoint_id(main_agent, source_config)
         older_state = await main_agent.aget_state(source_config)
         combined_values = older_state.values.copy()
         if initial_messages:
-            combined_values["messages"] = list(combined_values.get("messages", [])) + initial_messages
+            combined_values["messages"] = combined_values.get("messages", []) + initial_messages
         await main_agent.aupdate_state(current_config, combined_values)
     else:
         last_checkpoint_id = await get_checkpoint_id(main_agent, current_config)
 
+    # 7. 事件流生成
     async def event_generator() -> AsyncGenerator[str, None]:
         is_first = True
         content = [{"type": "text", "text": request.message}]
@@ -168,50 +168,52 @@ async def chat_stream(request: DeepAgentChatRequest):
             "quote_image": "",
             "current_image": ""
         }
-        # 用户上传图片
-        input_image_content = ''
+        input_image_content = ""
+
+        # 处理上传图片
         if request.input_image_paths:
             input_image_content += "\n【附件上传图片路径】\n"
             for i, path in enumerate(request.input_image_paths):
                 input_image_content += f"- 上传图片{i}: {path}\n"
-
-                bucket, object_name = path.split('/', 1)
-                # image_url = get_presigned_url(oss_client=minio_client, bucket=bucket, object_name=object_name)
-                copy_result = minio_client.copy_object("fida-public-bucket", path, CopySource(bucket, object_name))
-                image_url = f"https://www.minio-api.aida.com.hk/{copy_result.bucket_name}/{copy_result.object_name}"
+                bucket, obj = path.split("/", 1)
+                minio_client.copy_object("fida-public-bucket", path, CopySource(bucket, obj))
+                image_url = f"https://www.minio-api.aida.com.hk/fida-public-bucket/{path}"
                 content.append({"type": "image_url", "image_url": {"url": image_url}})
                 files["input_image"].append(path)
 
-        # 用户引用图片
+        # 处理引用图片
         if request.quote_image_path:
             input_image_content += "\n【附件引用图片路径】\n"
             input_image_content += f"- 引用图片: {request.quote_image_path}\n"
-
-            bucket, object_name = request.quote_image_path.split('/', 1)
-            # image_url = get_presigned_url(oss_client=minio_client, bucket=bucket, object_name=object_name)
-            copy_result = minio_client.copy_object("fida-public-bucket", request.quote_image_path, CopySource(bucket, object_name))
-            image_url = f"https://www.minio-api.aida.com.hk/{copy_result.bucket_name}/{copy_result.object_name}"
+            bucket, obj = request.quote_image_path.split("/", 1)
+            minio_client.copy_object("fida-public-bucket", request.quote_image_path, CopySource(bucket, obj))
+            image_url = f"https://www.minio-api.aida.com.hk/fida-public-bucket/{request.quote_image_path}"
             content.append({"type": "image_url", "image_url": {"url": image_url}})
             files["quote_image"] = request.quote_image_path
 
+        # 追加文本内容
         if input_image_content:
-            content[0]['text'] += input_image_content
-        final_messages = {
-            "messages": [
-                {
-                    "role": "user",
-                    "content": content
-                },
-            ],
-            "files": files
-        }
+            content[0]["text"] += input_image_content
+
+        message_list = [{"role": "user", "content": content}]
+        final_messages = {"messages": message_list, "files": files}
         logger.info(final_messages)
+
+        config_content_type = f"- type: {request.config_params.type}\n" if request.config_params.type else ""
+        config_content_region = f"- region: {request.config_params.region}\n" if request.config_params.region else ""
+        config_content_style = f"- style: {request.config_params.style}\n" if request.config_params.style else ""
+
         async for stream in main_agent.astream(
                 final_messages,
                 config=current_config,
                 stream_mode=["updates", "messages", "custom"],
                 subgraphs=True,
-                context=Context(use_report=request.use_report, language=request.language),
+                context=Context(use_report=request.use_report,
+                                language=request.language,
+                                type=config_content_type,
+                                region=config_content_region,
+                                style=config_content_style,
+                                ),
         ):
             _, mode, chunks = stream
             if is_first: