Docs/glm-4.6v-flash调用示例.md

调用示例

基础与流式

Python

安装 SDK

# 安装最新版本
pip install zai-sdk
# 或指定版本
pip install zai-sdk==0.2.0

验证安装

import zai
print(zai.__version__)

基础调用

from zai import ZhipuAiClient

client = ZhipuAiClient(api_key="")  # 填写您自己的 APIKey
response = client.chat.completions.create(
    model="glm-4.6v-flash",  # 填写需要调用的模型名称
    messages=[
        {
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://cloudcovert-1305175928.cos.ap-guangzhou.myqcloud.com/%E5%9B%BE%E7%89%87grounding.PNG"
                    }
                },
                {
                    "type": "text",
                    "text": "Where is the second bottle of beer from the right on the table?  Provide coordinates in [[xmin,ymin,xmax,ymax]] format"
                }
            ],
            "role": "user"
        }
    ],
    thinking={
        "type": "enabled"
    }
)
print(response.choices[0].message)

流式调用

from zai import ZhipuAiClient

client = ZhipuAiClient(api_key="")  # 填写您自己的APIKey
response = client.chat.completions.create(
    model="glm-4.6v-flash",  # 填写需要调用的模型名称
    messages=[
        {
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://cloudcovert-1305175928.cos.ap-guangzhou.myqcloud.com/%E5%9B%BE%E7%89%87grounding.PNG"
                    }
                },
                {
                    "type": "text",
                    "text": "Where is the second bottle of beer from the right on the table?  Provide coordinates in [[xmin,ymin,xmax,ymax]] format"
                }
            ],
            "role": "user"
        }
    ],
    thinking={
        "type": "enabled"
    },
    stream=True
)

for chunk in response:
    if chunk.choices[0].delta.reasoning_content:
        print(chunk.choices[0].delta.reasoning_content, end='', flush=True)

    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end='', flush=True)

多模态理解

不支持同时理解文件、视频和图像。

Python

安装 SDK

# 安装最新版本
pip install zai-sdk
# 或指定版本
pip install zai-sdk==0.2.0

验证安装

import zai
print(zai.__version__)

图片理解

from zai import ZhipuAiClient

client = ZhipuAiClient(api_key="your-api-key")  # 填写您自己的APIKey
response = client.chat.completions.create(
    model="glm-4.6v-flash",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://cdn.bigmodel.cn/static/logo/register.png"
                    }
                },
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://cdn.bigmodel.cn/static/logo/api-key.png"
                    }
                },
                {
                    "type": "text",
                    "text": "What are the pics talk about?"
                }
            ]
        }
    ],
    thinking={
        "type": "enabled"
    }
)
print(response.choices[0].message)

传入 Base64 图片

from zai import ZhipuAiClient
import base64

client = ZhipuAiClient(api_key="your-api-key")  # 填写您自己的APIKey

img_path = "your/path/xxx.png"
with open(img_path, "rb") as img_file:
    img_base = base64.b64encode(img_file.read()).decode("utf-8")

response = client.chat.completions.create(
    model="glm-4.6v-flash",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": img_base
                    }
                },
                {
                    "type": "text",
                    "text": "请描述这个图片"
                }
            ]
        }
    ],
    thinking={
        "type": "enabled"
    }
)
print(response.choices[0].message)

视频理解

from zai import ZhipuAiClient

client = ZhipuAiClient(api_key="your-api-key")  # 填写您自己的APIKey
response = client.chat.completions.create(
    model="glm-4.6v-flash",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "video_url",
                    "video_url": {
                        "url": "https://cdn.bigmodel.cn/agent-demos/lark/113123.mov"
                    }
                },
                {
                    "type": "text",
                    "text": "What are the video show about?"
                }
            ]
        }
    ],
    thinking={
        "type": "enabled"
    }
)
print(response.choices[0].message)

文件理解

from zai import ZhipuAiClient

client = ZhipuAiClient(api_key="your-api-key")  # 填写您自己的APIKey
response = client.chat.completions.create(
    model="glm-4.6v-flash",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "file_url",
                    "file_url": {
                        "url": "https://cdn.bigmodel.cn/static/demo/demo2.txt"
                    }
                },
                {
                    "type": "file_url",
                    "file_url": {
                        "url": "https://cdn.bigmodel.cn/static/demo/demo1.pdf"
                    }
                },
                {
                    "type": "text",
                    "text": "What are the files show about?"
                }
            ]
        }
    ],
    thinking={
        "type": "enabled"
    }
)
print(response.choices[0].message)