diff --git a/README.md b/README.md
index 9dafa4c..d49bc30 100644
--- a/README.md
+++ b/README.md
@@ -322,6 +322,8 @@ Using the API is also simple. See the example below:
 import openai
 openai.api_base = "http://localhost:8000/v1"
 openai.api_key = "none"
+
+# create a request activating streaming response
 for chunk in openai.ChatCompletion.create(
     model="Qwen-7B",
     messages=[
@@ -331,6 +333,16 @@ for chunk in openai.ChatCompletion.create(
 ):
     if hasattr(chunk.choices[0].delta, "content"):
         print(chunk.choices[0].delta.content, end="", flush=True)
+
+# create a request not activating streaming response
+response = openai.ChatCompletion.create(
+    model="Qwen-7B",
+    messages=[
+        {"role": "user", "content": "你好"}
+    ],
+    stream=False
+)
+print(response.choices[0].message.content)
 ```
 
 
diff --git a/README_CN.md b/README_CN.md
index f6a0539..aea803b 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -325,6 +325,8 @@ python openai_api.py
 import openai
 openai.api_base = "http://localhost:8000/v1"
 openai.api_key = "none"
+
+# 使用流式回复的请求
 for chunk in openai.ChatCompletion.create(
     model="Qwen-7B",
     messages=[
@@ -334,6 +336,16 @@ for chunk in openai.ChatCompletion.create(
 ):
     if hasattr(chunk.choices[0].delta, "content"):
         print(chunk.choices[0].delta.content, end="", flush=True)
+
+# 不使用流式回复的请求
+response = openai.ChatCompletion.create(
+    model="Qwen-7B",
+    messages=[
+        {"role": "user", "content": "你好"}
+    ],
+    stream=False
+)
+print(response.choices[0].message.content)
 ```
 
 
diff --git a/README_JA.md b/README_JA.md
index 7ae5bbc..e1431d3 100644
--- a/README_JA.md
+++ b/README_JA.md
@@ -328,6 +328,8 @@ APIの使い方も簡単だ。以下の例をご覧ください：
 import openai
 openai.api_base = "http://localhost:8000/v1"
 openai.api_key = "none"
+
+# create a request activating streaming response
 for chunk in openai.ChatCompletion.create(
     model="Qwen-7B",
     messages=[
@@ -337,6 +339,16 @@ for chunk in openai.ChatCompletion.create(
 ):
     if hasattr(chunk.choices[0].delta, "content"):
         print(chunk.choices[0].delta.content, end="", flush=True)
+
+# create a request not activating streaming response
+response = openai.ChatCompletion.create(
+    model="Qwen-7B",
+    messages=[
+        {"role": "user", "content": "你好"}
+    ],
+    stream=False
+)
+print(response.choices[0].message.content)
 ```
 
 ## ツールの使用