diff --git a/AI/AiService/CallDeepSeekStream.py b/AI/AiService/CallDeepSeekStream.py
new file mode 100644
index 00000000..f8cd78b0
--- /dev/null
+++ b/AI/AiService/CallDeepSeekStream.py
@@ -0,0 +1,93 @@
+from fastapi import FastAPI
+from fastapi.responses import StreamingResponse, PlainTextResponse
+import socket
+from openai import OpenAI
+
+app = FastAPI()
+
+# 阿里云中用来调用 deepseek v3 的密钥
+MODEL_API_KEY = "sk-01d13a39e09844038322108ecdbd1bbc"
+MODEL_NAME = "deepseek-v3"
+
+# 初始化 OpenAI 客户端
+client = OpenAI(
+    api_key=MODEL_API_KEY,
+    base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
+)
+
+# 获取本机所有 IPv4 地址
+def get_local_ips():
+    ips = []
+    hostname = socket.gethostname()
+    try:
+        # 获取所有 IP 地址
+        addrs = socket.getaddrinfo(hostname, None, family=socket.AF_INET)  # 只获取 IPv4 地址
+        for addr in addrs:
+            ip = addr[4][0]
+            if ip not in ips:
+                ips.append(ip)
+    except Exception as e:
+        print(f"获取 IP 地址失败: {e}")
+    return ips
+
+# 流式生成数据的函数
+async def generate_stream(course_name: str):
+    # 调用阿里云 API，启用流式响应
+    stream = client.chat.completions.create(
+        model=MODEL_NAME,
+        messages=[
+            {'role': 'system', 'content': '你是一个教学经验丰富的基础教育教师'},
+            {'role': 'user', 'content': '帮我设计一下' + course_name + '的课件提纲，用markdown格式返回。'}
+        ],
+        stream=True,  # 启用流式响应
+        timeout=6000,
+    )
+
+    # 逐字返回数据
+    for chunk in stream:
+        if chunk.choices[0].delta.content:
+            for char in chunk.choices[0].delta.content:
+                yield char.encode("utf-8")
+                await asyncio.sleep(0.05)  # 控制逐字输出的速度
+
+# 根路由，返回提示信息
+@app.get("/")
+def root():
+    return PlainTextResponse("Hello ApiStream")
+
+# 流式返回数据
+@app.get("/stream")
+async def stream_data(course_name: str):
+    if not course_name:
+        return PlainTextResponse("请提供课程名称,例：course_name=三角形面积")
+
+    # 返回流式响应
+    return StreamingResponse(
+        generate_stream(course_name),
+        media_type="text/event-stream",  # 使用 text/event-stream
+        headers={
+            "Cache-Control": "no-cache",  # 禁用缓存
+            "Connection": "keep-alive",  # 保持连接
+            "Access-Control-Allow-Origin": "*",  # 允许跨域
+            "X-Accel-Buffering": "no"  # 禁用 Nginx 缓冲（如果有代理）
+        }
+    )
+
+# 运行应用
+if __name__ == "__main__":
+    import uvicorn
+    import asyncio
+
+    # 获取本机所有 IPv4 地址
+    ips = get_local_ips()
+    if not ips:
+        print("无法获取本机 IP 地址，使用默认地址 127.0.0.1")
+        ips = ["127.0.0.1"]
+
+    # 打印所有 IP 地址
+    print("服务将在以下 IP 地址上运行：")
+    for ip in ips:
+        print(f"http://{ip}:8000")
+
+    # 启动 FastAPI 应用，绑定到所有 IP 地址
+    uvicorn.run(app, host="0.0.0.0", port=8000)
\ No newline at end of file
diff --git a/AI/AiService/TestZhongHe.py b/AI/AiService/Test/CallDeepSeekPlain.py
similarity index 70%
rename from AI/AiService/TestZhongHe.py
rename to AI/AiService/Test/CallDeepSeekPlain.py
index 90ee4a60..a1c3b7b1 100644
--- a/AI/AiService/TestZhongHe.py
+++ b/AI/AiService/Test/CallDeepSeekPlain.py
@@ -6,7 +6,7 @@ from openai import OpenAI
 
 app = FastAPI()
 
-# 阿里云中用来调用 deepseek r1 的密钥
+# 阿里云中用来调用 deepseek v3 的密钥
 MODEL_API_KEY = "sk-01d13a39e09844038322108ecdbd1bbc"
 MODEL_NAME = "deepseek-v3"
 
@@ -16,6 +16,7 @@ client = OpenAI(
     base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
 )
 
+
 # 获取本机所有 IPv4 地址
 def get_local_ips():
     ips = []
@@ -31,27 +32,38 @@ def get_local_ips():
         print(f"获取 IP 地址失败: {e}")
     return ips
 
+
 # 模拟逐字生成数据的函数（SSE 格式）
 def generate_data(text):
     for char in text:
         time.sleep(0.05)  # 模拟延迟
-        #yield f"data: {char}\n\n".encode("utf-8")  # 按照 SSE 格式返回数据
+        # yield f"data: {char}\n\n".encode("utf-8")  # 按照 SSE 格式返回数据
         yield f"{char}".encode("utf-8")
+
+
 # 根路由，返回提示信息
 @app.get("/")
 def root():
     return PlainTextResponse("Hello ApiStream")
 
+
 # 流式返回数据（SSE）
+'''
+http://10.10.21.20:8000/stream?course_name=%E9%97%B0%E5%9C%9F
+'''
 @app.get("/stream")
-def stream_data():
+def stream_data(course_name: str):
+    if not course_name:
+        return PlainTextResponse("请提供课程名称,例：course_name=三角形面积")
     # 调用阿里云 API 获取文本内容
     completion = client.chat.completions.create(
         model=MODEL_NAME,
         messages=[
-            {'role': 'system', 'content': 'You are a helpful assistant.'},
-            {'role': 'user', 'content': '你是谁？'}
+            {'role': 'system', 'content': '你是一个教学经验丰富的基础教育教师'},
+            {'role': 'user', 'content': '帮我设计一下' + course_name + '的课件提纲，用markdown格式返回。'}
         ],
+        timeout=6000,
+        # stream=True,
     )
     text_content = completion.choices[0].message.content
 
@@ -61,12 +73,13 @@ def stream_data():
         media_type="text/event-stream",  # 使用 text/event-stream
         headers={
             "Cache-Control": "no-cache",  # 禁用缓存
-            "Connection": "keep-alive",   # 保持连接
+            "Connection": "keep-alive",  # 保持连接
             "Access-Control-Allow-Origin": "*",  # 允许跨域
-            "X-Accel-Buffering": "no"     # 禁用 Nginx 缓冲（如果有代理）
+            "X-Accel-Buffering": "no"  # 禁用 Nginx 缓冲（如果有代理）
         }
     )
 
+
 # 运行应用
 if __name__ == "__main__":
     import uvicorn
@@ -83,4 +96,4 @@ if __name__ == "__main__":
         print(f"http://{ip}:8000")
 
     # 启动 FastAPI 应用，绑定到所有 IP 地址
-    uvicorn.run(app, host="0.0.0.0", port=8000)
\ No newline at end of file
+    uvicorn.run(app, host="0.0.0.0", port=8000)
diff --git a/AI/AiService/TestChat.py b/AI/AiService/Test/TestChat.py
similarity index 100%
rename from AI/AiService/TestChat.py
rename to AI/AiService/Test/TestChat.py
diff --git a/AI/AiService/TestStream.py b/AI/AiService/Test/TestStream.py
similarity index 100%
rename from AI/AiService/TestStream.py
rename to AI/AiService/Test/TestStream.py