feat: update new model examples (#66)

README.md

@@ -105,7 +105,7 @@ client = ZhipuAiClient(api_key="your-api-key")
 
 # Create chat completion
 response = client.chat.completions.create(
-    model="glm-4.7",
+    model="glm-5",
     messages=[
         {"role": "user", "content": "Hello, Z.ai!"}
     ]
@@ -279,7 +279,7 @@ client = ZaiClient(api_key="your-api-key")
 
 try:
     response = client.chat.completions.create(
-        model="glm-4.7",
+        model="glm-5",
         messages=[
             {"role": "user", "content": "Hello, Z.ai!"}
         ]

README_CN.md

@@ -107,7 +107,7 @@ client = ZhipuAiClient(api_key="your-api-key")
 
 # Create chat completion
 response = client.chat.completions.create(
-    model="glm-4.7",
+    model="glm-5",
     messages=[
         {"role": "user", "content": "Hello, Z.ai!"}
     ]
@@ -286,7 +286,7 @@ client = ZaiClient(api_key="your-api-key")  # 请填写您自己的APIKey
 
 try:
     response = client.chat.completions.create(
-        model="glm-4.7",
+        model="glm-5",
         messages=[
             {"role": "user", "content": "你好， Z.ai ！"}
         ]

examples/basic_usage.py

@@ -6,7 +6,7 @@ def completion():
 
 	# Create chat completion
 	response = client.chat.completions.create(
-		model='glm-4.7',
+		model='glm-5',
 		messages=[{'role': 'user', 'content': 'Hello, Z.ai!'}],
 		temperature=1.0,
 	)
@@ -19,7 +19,7 @@ def completion_with_stream():
 
 	# Create chat completion
 	response = client.chat.completions.create(
-		model='glm-4.7',
+		model='glm-5',
 		messages=[
 			{'role': 'system', 'content': 'You are a helpful assistant.'},
 			{'role': 'user', 'content': 'Tell me a story about AI.'},
@@ -38,7 +38,7 @@ def completion_with_websearch():
 
 	# Create chat completion
 	response = client.chat.completions.create(
-		model='glm-4.7',
+		model='glm-5',
 		messages=[
 			{'role': 'system', 'content': 'You are a helpful assistant.'},
 			{'role': 'user', 'content': 'What is artificial intelligence?'},
@@ -66,7 +66,7 @@ def completion_with_mcp_server_url():
 	
 	# Create chat completion with MCP server URL
 	response = client.chat.completions.create(
-		model='glm-4.7',
+		model='glm-5',
 		stream=False,
 		messages=[{'role': 'user', 'content': 'Hello, please introduce GPT?'}],
 		tools=[
@@ -95,7 +95,7 @@ def completion_with_mcp_server_label():
 	
 	# Create chat completion with MCP server label
 	response = client.chat.completions.create(
-		model='glm-4.7',
+		model='glm-5',
 		stream=False,
 		messages=[{'role': 'user', 'content': 'Hello, please introduce GPT?'}],
 		tools=[
@@ -217,7 +217,7 @@ def ofZai():
     client = ZaiClient()
     print(client.base_url)
     response = client.chat.completions.create(
-        model='glm-4.7',
+        model='glm-5',
         messages=[{'role': 'user', 'content': 'Hello, Z.ai!'}],
         temperature=0.7,
     )
@@ -227,7 +227,7 @@ def ofZhipu():
 	client = ZhipuAiClient()
 	print(client.base_url)
 	response = client.chat.completions.create(
-		model='glm-4.7',
+		model='glm-5',
 		messages=[{'role': 'user', 'content': 'Hello, Z.ai!'}],
 		temperature=0.7,
 	)

examples/function_call_example.py

@@ -36,7 +36,7 @@ def parse_function_call(model_response, messages):
             "tool_call_id": tool_call.id
         })
         response = client.chat.completions.create(
-            model="glm-4.7",  # Specify the model name to use
+            model="glm-5",  # Specify the model name to use
             messages=messages,
             tools=tools,
         )
@@ -99,7 +99,7 @@ messages.append({"role": "system", "content": "Do not assume or guess the values
 messages.append({"role": "user", "content": "Help me check the flights from Beijing to Guangzhou on January 23."})
 
 response = client.chat.completions.create(
-    model="glm-4.7",  # Specify the model name to use
+    model="glm-5",  # Specify the model name to use
     messages=messages,
     tools=tools,
 )
@@ -110,7 +110,7 @@ parse_function_call(response, messages)
 
 messages.append({"role": "user", "content": "What is the price of flight 8321?"})
 response = client.chat.completions.create(
-    model="glm-4.7",  # Specify the model name to use
+    model="glm-5",  # Specify the model name to use
     messages=messages,
     tools=tools,
 )

examples/glm_thinking.py

@@ -15,7 +15,7 @@ class ZaiSampler(SamplerBase):
 
     def __init__(
         self,
-        model: str = "glm-4.7",
+        model: str = "glm-5",
         api_key: str = '',
         system_message: Optional[str] = None,
         temperature: float = 0.0,

examples/stream_tools.py

@@ -4,7 +4,7 @@ def main():
     client = ZhipuAiClient()
     # create chat completion with tool calls and streaming
     response = client.chat.completions.create(
-        model="glm-4.7",
+        model="glm-5",
         messages=[
             {"role": "user", "content": "How is the weather in Beijing and Shanghai? Please provide the answer in Celsius."},
         ],