diff --git a/AI/WxMini/Milvus/Config/__pycache__/MulvusConfig.cpython-310.pyc b/AI/WxMini/Milvus/Config/__pycache__/MulvusConfig.cpython-310.pyc
index c6b52f75..0eb85b14 100644
Binary files a/AI/WxMini/Milvus/Config/__pycache__/MulvusConfig.cpython-310.pyc and b/AI/WxMini/Milvus/Config/__pycache__/MulvusConfig.cpython-310.pyc differ
diff --git a/AI/WxMini/Start.py b/AI/WxMini/Start.py
index eb51c254..58f9165f 100644
--- a/AI/WxMini/Start.py
+++ b/AI/WxMini/Start.py
@@ -48,7 +48,7 @@ async def lifespan(app: FastAPI):
 # 会话结束后，调用检查方法，判断是不是有需要介入的问题出现
 async def on_session_end(session_id):
     # 获取聊天记录
-    result = await get_chat_log_by_session(app.state.mysql_pool, session_id, page=1, page_size=100)
+    result = await get_chat_log_by_session(app.state.mysql_pool, session_id, page=1, page_size=1)
 
     # 拼接历史聊天记录
     history = ""
@@ -79,6 +79,8 @@ async def on_session_end(session_id):
             # 异步执行 update_risk
             asyncio.create_task(update_risk(app.state.mysql_pool, session_id, analysis_result))
             logger.info(f"已异步更新 session_id={session_id} 的风险状态。")
+        else:
+            logger.info(f"AI大模型没有发现任何心理健康问题，用户会话 {session_id} 没有风险。")
 
 
 # 初始化 FastAPI 应用
diff --git a/AI/WxMini/Test/T11_TuYa.py b/AI/WxMini/Test/T11_TuYa.py
new file mode 100644
index 00000000..70fd9cb3
--- /dev/null
+++ b/AI/WxMini/Test/T11_TuYa.py
@@ -0,0 +1,63 @@
+from http import HTTPStatus
+from urllib.parse import urlparse, unquote
+from pathlib import PurePosixPath
+from dashscope import ImageSynthesis
+from WxMini.Milvus.Config.MulvusConfig import *
+
+def generate_image(prompt, sketch_image_url, model="wanx-sketch-to-image-lite", task="image2image", n=1, size='768*768', style='<watercolor>'):
+    """
+    根据提示词和草图生成图片
+    :param prompt: 提示词
+    :param sketch_image_url: 草图图片 URL
+    :param model: 使用的模型，默认为 "wanx-sketch-to-image-lite"
+    :param task: 任务类型，默认为 "image2image"
+    :param n: 生成图片的数量，默认为 1
+    :param size: 图片尺寸，默认为 '768*768'
+    :param style: 图片风格，默认为 '<watercolor>'
+    :return: (success, message) success 为 True 表示成功，False 表示失败；message 为提示信息
+    """
+    try:
+        print('----同步调用，请稍等----')
+        rsp = ImageSynthesis.call(api_key=MODEL_API_KEY,
+                                  model=model,
+                                  prompt=prompt,
+                                  n=n,
+                                  style=style,
+                                  size=size,
+                                  sketch_image_url=sketch_image_url,
+                                  task=task)
+        print('response: %s' % rsp)
+
+        if rsp.status_code == HTTPStatus.OK:
+            if rsp.output.task_status == "SUCCEEDED":
+                # 在当前目录下保存图片
+                for result in rsp.output.results:
+                    file_name = PurePosixPath(unquote(urlparse(result.url).path)).parts[-1]
+                    #with open('./%s' % file_name, 'wb+') as f:
+                    #    f.write(requests.get(result.url).content)
+                    #print(f"图片已生成，文件名: {file_name}")
+                return True, "图片生成成功"
+            else:
+                # 生成失败，返回错误信息
+                error_message = f"生成失败，错误码: {rsp.output.code}, 错误信息: {rsp.output.message}"
+                print(error_message)
+                return False, error_message
+        else:
+            # 调用失败，返回错误信息
+            error_message = f"同步调用失败，状态码: {rsp.status_code}, 错误码: {rsp.code}, 错误信息: {rsp.message}"
+            print(error_message)
+            return False, error_message
+    except Exception as e:
+        # 捕获异常，返回错误信息
+        error_message = f"生成图片时发生异常: {str(e)}"
+        print(error_message)
+        return False, error_message
+
+
+# 示例调用
+if __name__ == '__main__':
+    prompt = "一棵参天大树"
+    sketch_image_url = "https://help-static-aliyun-doc.aliyuncs.com/assets/img/zh-CN/6609471071/p743851.jpg"
+    success, message = generate_image(prompt, sketch_image_url)
+    if not success:
+        print(f"生成失败: {message}")
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diff --git a/AI/WxMini/Test/T1_WenBenShengTu.py b/AI/WxMini/Test/T1_WenBenShengTu.py
new file mode 100644
index 00000000..fba6c4da
--- /dev/null
+++ b/AI/WxMini/Test/T1_WenBenShengTu.py
@@ -0,0 +1,44 @@
+from http import HTTPStatus
+from urllib.parse import urlparse, unquote
+from pathlib import PurePosixPath
+from dashscope import ImageSynthesis
+from WxMini.Milvus.Config.MulvusConfig import *
+
+def generate_image(prompt, model="wanx2.1-t2i-turbo", n=1, size='1024*1024'):
+    """
+    根据提示词生成图片
+    :param prompt: 提示词
+    :param model: 使用的模型，默认为 "wanx2.1-t2i-turbo"
+    :param n: 生成图片的数量，默认为 1
+    :param size: 图片尺寸，默认为 '1024*1024'
+    :return: (success, message) success 为 True 表示成功，False 表示失败；message 为提示信息
+    """
+    try:
+        print('----同步调用，请稍等----')
+        rsp = ImageSynthesis.call(api_key=MODEL_API_KEY, model=model, prompt=prompt, n=n, size=size)
+        print('response: %s' % rsp)
+
+        if rsp.status_code == HTTPStatus.OK:
+            # 在当前目录下保存图片
+            for result in rsp.output.results:
+                file_name = PurePosixPath(unquote(urlparse(result.url).path)).parts[-1]
+                print(f"图片已生成，文件名: {file_name}")
+            return True, "图片生成成功"
+        else:
+            # 生成失败，返回错误信息
+            error_message = f"同步调用失败，状态码: {rsp.status_code}, 错误码: {rsp.code}, 错误信息: {rsp.message}"
+            print(error_message)
+            return False, error_message
+    except Exception as e:
+        # 捕获异常，返回错误信息
+        error_message = f"生成图片时发生异常: {str(e)}"
+        print(error_message)
+        return False, error_message
+
+
+# 示例调用
+if __name__ == '__main__':
+    prompt = "哪吒闹海"
+    success, message = generate_image(prompt)
+    if not success:
+        print(f"生成失败: {message}")
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diff --git a/AI/WxMini/Test/文档.txt b/AI/WxMini/Test/文档.txt
new file mode 100644
index 00000000..97384848
--- /dev/null
+++ b/AI/WxMini/Test/文档.txt
@@ -0,0 +1,2 @@
+大模型服务平台百炼
+https://help.aliyun.com/zh/model-studio/user-guide/style-repaint?spm=a2c4g.11186623.help-menu-2400256.d_1_0_6_1.6c05408du5HUT3
\ No newline at end of file