diff --git a/AI/WxMini/GetToken.py b/AI/WxMini/GetToken.py
index 32f96bf0..ca17e395 100644
--- a/AI/WxMini/GetToken.py
+++ b/AI/WxMini/GetToken.py
@@ -6,8 +6,15 @@ from datetime import datetime
 from aliyunsdkcore.client import AcsClient
 from aliyunsdkcore.request import CommonRequest
 from TtsConfig import *
+from WxMini.RedisUtil import set_tts_token, get_tts_token
+
 
 def getToken():
+    # 从Redis获取 TTS Token
+    retrieved_token = get_tts_token()
+    if retrieved_token:
+        print("使用Redis中的Token:", retrieved_token)
+        return retrieved_token
     # 创建AcsClient实例
     client = AcsClient(
         ACCESS_KEY_ID, ACCESS_KEY_SECRET, "cn-shanghai"
@@ -35,10 +42,9 @@ def getToken():
             now = datetime.now()
             time_diff = (expire_date - now).total_seconds()
             print("距离过期还有（秒）:", time_diff)
+            # 设置 TTS Token
+            set_tts_token(token)
             return token
     except Exception as e:
         print(e)
 
-
-if __name__ == '__main__':
-    print(getToken())
diff --git a/AI/WxMini/RedisUtil.py b/AI/WxMini/RedisUtil.py
index 62a5bc4d..8e947971 100644
--- a/AI/WxMini/RedisUtil.py
+++ b/AI/WxMini/RedisUtil.py
@@ -1,10 +1,11 @@
 import redis
-from AlyConfig import *
+from TtsConfig import *
 
 # 初始化 Redis 连接池
 pool = redis.ConnectionPool(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB, password=REDIS_PASSWORD)
 
-def set_tts_token(token, expire_time=750):
+
+def set_tts_token(token, expire_time=60 * 60 * 4):
     """
     设置 TTS Token 到 Redis，并设置过期时间
     :param token: TTS Token 字符串
@@ -62,4 +63,4 @@ if __name__ == '__main__':
         print("获取到的 TTS Token:", retrieved_token)
 
     # 显式关闭 Redis 连接池
-    close_redis_connection()
\ No newline at end of file
+    close_redis_connection()
diff --git a/AI/WxMini/Start.py b/AI/WxMini/Start.py
index f902013c..087d7153 100644
--- a/AI/WxMini/Start.py
+++ b/AI/WxMini/Start.py
@@ -5,7 +5,7 @@ from fastapi import FastAPI, Form, HTTPException
 from openai import OpenAI
 from TtsConfig import *
 from WxMini.OssUtil import upload_mp3_to_oss
-from WxMini.TTS import TTS
+from WxMini.TtsUtil import TTS
 
 # 初始化 FastAPI 应用
 app = FastAPI()
diff --git a/AI/WxMini/TestMilvusBase.py b/AI/WxMini/TestMilvusBase.py
new file mode 100644
index 00000000..fc964cac
--- /dev/null
+++ b/AI/WxMini/TestMilvusBase.py
@@ -0,0 +1,61 @@
+# D:\anaconda3\envs\py310\Scripts\pip.exe install pymilvus
+from pymilvus import connections, FieldSchema, CollectionSchema, DataType, Collection, utility
+
+# 1. 连接 Milvus
+connections.connect("default", host="10.10.14.101", port="19530")
+
+# 2. 定义集合的字段和模式
+fields = [
+    FieldSchema(name="id", dtype=DataType.INT64, is_primary=True, auto_id=True),
+    FieldSchema(name="embedding", dtype=DataType.FLOAT_VECTOR, dim=128)
+]
+schema = CollectionSchema(fields, description="Simple demo collection")
+
+# 3. 创建集合
+collection_name = "demo_collection"
+if utility.has_collection(collection_name):
+    utility.drop_collection(collection_name)  # 如果集合已存在，先删除
+
+collection = Collection(name=collection_name, schema=schema)
+
+# 4. 插入数据
+import random
+data = [
+    [random.random() for _ in range(128)],  # 第一个向量
+    [random.random() for _ in range(128)],  # 第二个向量
+    [random.random() for _ in range(128)]   # 第三个向量
+]
+entities = [data]  # 插入的数据
+collection.insert(entities)
+
+# 5. 创建索引
+index_params = {
+    "index_type": "IVF_FLAT",  # 索引类型
+    "metric_type": "L2",       # 距离度量方式
+    "params": {"nlist": 128}   # 索引参数
+}
+collection.create_index("embedding", index_params)
+
+# 6. 加载集合到内存
+collection.load()
+
+# 7. 查询数据
+query_vector = [random.random() for _ in range(128)]  # 查询向量
+search_params = {
+    "metric_type": "L2",
+    "params": {"nprobe": 10}  # 查询参数
+}
+results = collection.search(
+    data=[query_vector],  # 查询向量
+    anns_field="embedding",  # 查询字段
+    param=search_params,
+    limit=2  # 返回最相似的 2 个结果
+)
+
+# 8. 输出查询结果
+for hits in results:
+    for hit in hits:
+        print(f"ID: {hit.id}, Distance: {hit.distance}")
+
+# 9. 关闭连接
+connections.disconnect("default")
\ No newline at end of file
diff --git a/AI/WxMini/TtsConfig.py b/AI/WxMini/TtsConfig.py
index bd57b404..253f0bc1 100644
--- a/AI/WxMini/TtsConfig.py
+++ b/AI/WxMini/TtsConfig.py
@@ -15,4 +15,7 @@ REDIS_PASSWORD = None  # Redis 密码（如果没有密码，设置为 None）
 # 阿里云中用来调用 deepseek v3 的密钥
 MODEL_API_KEY = "sk-01d13a39e09844038322108ecdbd1bbc"
 MODEL_NAME = "qwen-plus"
-#MODEL_NAME = "deepseek-v3"
\ No newline at end of file
+#MODEL_NAME = "deepseek-v3"
+
+# TTS的APPKEY
+APPKEY = "90RJcqjlN4ZqymGd"  # 获取Appkey请前往控制台：https://nls-portal.console.aliyun.com/applist
diff --git a/AI/WxMini/tts.py b/AI/WxMini/TtsUtil.py
similarity index 52%
rename from AI/WxMini/tts.py
rename to AI/WxMini/TtsUtil.py
index 3450d794..1a843d5c 100644
--- a/AI/WxMini/tts.py
+++ b/AI/WxMini/TtsUtil.py
@@ -1,12 +1,8 @@
 # -*- coding: utf-8 -*-
 import nls
-import os
 from GetToken import *
-
+from TtsConfig import *
 URL = "wss://nls-gateway-cn-shanghai.aliyuncs.com/ws/v1"
-TOKEN = getToken()  # 参考https://help.aliyun.com/document_detail/450255.html获取token
-APPKEY = "90RJcqjlN4ZqymGd"  # 获取Appkey请前往控制台：https://nls-portal.console.aliyun.com/applist
-
 
 class TTS:
     def __init__(self, _file):
@@ -16,9 +12,9 @@ class TTS:
     def start(self, text):
         self._text = text
         # 确保目录存在
-        os.makedirs(os.path.dirname(self._file), exist_ok=True)
+        # os.makedirs(os.path.dirname(self._file), exist_ok=True)
         self._f = open(self._file, "wb")
-
+        TOKEN = getToken()  # 参考https://help.aliyun.com/document_detail/450255.html获取token
         # 初始化 TTS
         tts = nls.NlsSpeechSynthesizer(
             url=URL,
@@ -38,10 +34,4 @@ class TTS:
 
     def on_data(self, data, *args):
         if self._f:
-            self._f.write(data)
-
-
-if __name__ == '__main__':
-    TEXT = '你好，听到你心情不好我很抱歉。可以告诉我是什么让你感到如此糟糕吗？有时候把烦恼说出来会让我们感觉好一些。无论发生了什么，我都会在这里认真倾听，和你一起面对。记住，每个困难都会过去，明天总是新的开始。'
-    t = TTS("tests/test_tts.mp3")
-    t.start(TEXT)
\ No newline at end of file
+            self._f.write(data)
\ No newline at end of file
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