diff --git a/main/xiaozhi-server/core/providers/llm/AliBL/AliBL.py b/main/xiaozhi-server/core/providers/llm/AliBL/AliBL.py
index 012035ee..a68c4348 100644
--- a/main/xiaozhi-server/core/providers/llm/AliBL/AliBL.py
+++ b/main/xiaozhi-server/core/providers/llm/AliBL/AliBL.py
@@ -1,8 +1,10 @@
 from config.logger import setup_logging
 from http import HTTPStatus
+import dashscope
 from dashscope import Application
 from core.providers.llm.base import LLMProviderBase
 from core.utils.util import check_model_key
+import time
 
 TAG = __name__
 logger = setup_logging()
@@ -15,6 +17,7 @@ class LLMProvider(LLMProviderBase):
         self.base_url = config.get("base_url")
         self.is_No_prompt = config.get("is_no_prompt")
         self.memory_id = config.get("ali_memory_id")
+        self.streaming_chunk_size = config.get("streaming_chunk_size", 3)  # 每次流式返回的字符数
         check_model_key("AliBLLLM", self.api_key)
 
     def response(self, session_id, dialogue):
@@ -32,6 +35,8 @@ class LLMProvider(LLMProviderBase):
                 "app_id": self.app_id,
                 "session_id": session_id,
                 "messages": dialogue,
+                # 开启SDK原生流式
+                "stream": True,
             }
             if self.memory_id != False:
                 # 百练memory需要prompt参数
@@ -42,25 +47,63 @@ class LLMProvider(LLMProviderBase):
                     f"【阿里百练API服务】处理后的prompt: {prompt}"
                 )
 
+            # 可选地设置自定义API基地址（若配置为兼容模式URL则忽略）
+            if self.base_url and ("/api/" in self.base_url):
+                dashscope.base_http_api_url = self.base_url
+
             responses = Application.call(**call_params)
-            if responses.status_code != HTTPStatus.OK:
-                logger.bind(tag=TAG).error(
-                    f"code={responses.status_code}, "
-                    f"message={responses.message}, "
-                    f"请参考文档：https://help.aliyun.com/zh/model-studio/developer-reference/error-code"
-                )
-                yield "【阿里百练API服务响应异常】"
-            else:
-                logger.bind(tag=TAG).debug(
-                    f"【阿里百练API服务】构造参数: {call_params}"
-                )
-                yield responses.output.text
+
+            # 流式处理（SDK在stream=True时返回可迭代对象；否则返回单次响应对象）
+            logger.bind(tag=TAG).debug(
+                f"【阿里百练API服务】构造参数: {dict(call_params, api_key='***')}"
+            )
+
+            last_text = ""
+            try:
+                for resp in responses:
+                    if resp.status_code != HTTPStatus.OK:
+                        logger.bind(tag=TAG).error(
+                            f"code={resp.status_code}, message={resp.message}, 请参考文档：https://help.aliyun.com/zh/model-studio/developer-reference/error-code"
+                        )
+                        continue
+                    current_text = getattr(getattr(resp, "output", None), "text", None)
+                    if current_text is None:
+                        continue
+                    # SDK流式为增量覆盖，计算差量输出
+                    if len(current_text) >= len(last_text):
+                        delta = current_text[len(last_text):]
+                    else:
+                        # 避免偶发回退
+                        delta = current_text
+                    if delta:
+                        yield delta
+                    last_text = current_text
+            except TypeError:
+                # 非流式回落（一次性返回）
+                if responses.status_code != HTTPStatus.OK:
+                    logger.bind(tag=TAG).error(
+                        f"code={responses.status_code}, message={responses.message}, 请参考文档：https://help.aliyun.com/zh/model-studio/developer-reference/error-code"
+                    )
+                    yield "【阿里百练API服务响应异常】"
+                else:
+                    full_text = getattr(getattr(responses, "output", None), "text", "")
+                    logger.bind(tag=TAG).info(
+                        f"【阿里百练API服务】完整响应长度: {len(full_text)}"
+                    )
+                    for i in range(0, len(full_text), self.streaming_chunk_size):
+                        chunk = full_text[i:i + self.streaming_chunk_size]
+                        if chunk:
+                            yield chunk
 
         except Exception as e:
             logger.bind(tag=TAG).error(f"【阿里百练API服务】响应异常: {e}")
             yield "【LLM服务响应异常】"
 
     def response_with_functions(self, session_id, dialogue, functions=None):
-        logger.bind(tag=TAG).error(
-            f"阿里百练暂未实现完整的工具调用（function call），建议使用其他意图识别"
+        # 阿里百练当前未支持原生的 function call。为保持兼容，这里回退到普通文本流式输出。
+        # 上层会按 (content, tool_calls) 的形式消费，这里始终返回 (token, None)
+        logger.bind(tag=TAG).warning(
+            "阿里百练未实现原生 function call，已回退为纯文本流式输出"
         )
+        for token in self.response(session_id, dialogue):
+            yield token, None