diff --git a/2023.11.20_LLM_model_python_API/LLM_model_python_API.py b/2023.11.20_LLM_model_python_API/LLM_model_python_API.py
new file mode 100644
index 0000000..65d1e01
--- /dev/null
+++ b/2023.11.20_LLM_model_python_API/LLM_model_python_API.py
@@ -0,0 +1,20 @@
+"""
+This code is supported by the website: https://www.guanjihuan.com
+The newest version of this code is on the web page: https://www.guanjihuan.com/archives/37672
+"""
+
+# 初始例子
+import guan
+response = guan.chat(prompt='你好', stream_show=1, top_p=0.8, temperature=0.8)
+print('最终回答：', response, '\n')
+
+# 一个列表排序的应用例子
+import guan
+import random
+random_list = [random.randint(1, 100) for _ in range(5)]
+print('初始随机列表：', random_list)
+response = guan.chat(prompt='直接给出数组从小到大的排序结果，不需要其他说明，请保证结果是正确的：'+str(random_list), stream_show=1, top_p=0.01, temperature=0.01) # 这里把 top_p 和 temperature 降到最低可以在一定程度上保证结果的正确性。 
+print('初始随机列表：', random_list)
+random_list.sort()
+print('算法排序后的列表：', random_list)
+print('使用大语言模型排序后的列表：', response, '\n') # 效率不高，且不保证结果是百分百正确，通常对列表元素比较少的情况才有效。
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diff --git a/2023.11.20_running_function_remotely/running_function_remotely.py b/2023.11.20_running_function_remotely/running_function_remotely.py
new file mode 100644
index 0000000..f5fae20
--- /dev/null
+++ b/2023.11.20_running_function_remotely/running_function_remotely.py
@@ -0,0 +1,14 @@
+"""
+This code is supported by the website: https://www.guanjihuan.com
+The newest version of this code is on the web page: https://www.guanjihuan.com/archives/37680
+"""
+
+def func_example(a=1, b=2):
+    for i0 in range(3):
+        print(i0+1)
+    c = a + b
+    return a, b, c
+
+import guan
+return_data = guan.run(function_name=func_example, args=(3, 4), return_show=0, get_print=1)
+print(return_data)
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