chore: add stream tools example (#41)

examples/basic_usage.py

@@ -6,9 +6,9 @@ def completion():
 
 	# Create chat completion
 	response = client.chat.completions.create(
-		model='glm-4',
+		model='glm-4.6',
 		messages=[{'role': 'user', 'content': 'Hello, Z.ai!'}],
-		temperature=0.7,
+		temperature=1.0,
 	)
 	print(response.choices[0].message.content)
 
@@ -19,7 +19,7 @@ def completion_with_stream():
 
 	# Create chat completion
 	response = client.chat.completions.create(
-		model='glm-4',
+		model='glm-4.6',
 		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',
+		model='glm-4.6',
 		messages=[
 			{'role': 'system', 'content': 'You are a helpful assistant.'},
 			{'role': 'user', 'content': 'What is artificial intelligence?'},
@@ -52,7 +52,7 @@ def completion_with_websearch():
 				},
 			}
 		],
-		temperature=0.5,
+		temperature=1.0,
 		max_tokens=2000,
 	)
 
@@ -234,10 +234,10 @@ def ofZhipu():
 	print(response.choices[0].message.content)
 
 if __name__ == '__main__':
-    # completion()
-    # completion_with_stream()
+    completion()
+    completion_with_stream()
     # completion_with_websearch()
-    multi_modal_chat()
+    # multi_modal_chat()
     # role_play()
     # assistant_conversation()
     # video_generation()

examples/stream_tools.py

@@ -0,0 +1,81 @@
+from zai import ZhipuAiClient
+
+def main():
+    client = ZhipuAiClient()
+    # create chat completion with tool calls and streaming
+    response = client.chat.completions.create(
+        model="glm-4.6",
+        messages=[
+            {"role": "user", "content": "How is the weather in Beijing and Shanghai? Please provide the answer in Celsius."},
+        ],
+        tools=[
+            {
+                "type": "function",
+                "function": {
+                    "name": "get_weather",
+                    "description": "Get the weather information for a specific location",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "location": {"type": "string", "description": "City, eg: Beijing, Shanghai"},
+                            "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
+                        },
+                        "required": ["location"]
+                    }
+                }
+            }
+        ],
+        stream=True,  # enable streaming
+        tool_stream=True  # enable tool call streaming
+    )
+
+    # init variables to collect streaming data
+    reasoning_content = ""  # reasoning content
+    content = ""  # response content
+    final_tool_calls = {}  # tool call data
+    reasoning_started = False  # is reasoning started
+    content_started = False  # is content started
+
+    # process streaming response
+    for chunk in response:
+        if not chunk.choices:
+            continue
+
+        delta = chunk.choices[0].delta
+
+        # process streaming reasoning output
+        if hasattr(delta, 'reasoning_content') and delta.reasoning_content:
+            if not reasoning_started and delta.reasoning_content.strip():
+                print("\n🧠 Thinking: ")
+                reasoning_started = True
+            reasoning_content += delta.reasoning_content
+            print(delta.reasoning_content, end="", flush=True)
+
+        # process streaming answer content output
+        if hasattr(delta, 'content') and delta.content:
+            if not content_started and delta.content.strip():
+                print("\n\n💬 Answer: ")
+                content_started = True
+            content += delta.content
+            print(delta.content, end="", flush=True)
+
+        # process streaming tool call info
+        if delta.tool_calls:
+            for tool_call in delta.tool_calls:
+                index = tool_call.index
+                if index not in final_tool_calls:
+                    # add new tool call
+                    final_tool_calls[index] = tool_call
+                    final_tool_calls[index].function.arguments = tool_call.function.arguments
+                else:
+                    # append tool call params by streaming index
+                    final_tool_calls[index].function.arguments += tool_call.function.arguments
+
+    # output the final construct tool call info
+    if final_tool_calls:
+        print("\n📋 Function Calls Triggered:")
+        for index, tool_call in final_tool_calls.items():
+            print(f"  {index}: Function Name: {tool_call.function.name}, Params: {tool_call.function.arguments}")
+
+if __name__ == "__main__":
+    main()