创建对话请求(OpenAI)

curl --request POST \
  --url https://api.siliconflow.cn/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "Pro/zai-org/GLM-4.7",
    "messages": [
      {"role": "system", "content": "你是一个有用的助手x"},
      {"role": "user", "content": "你好，请介绍一下你自己"}
    ]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.siliconflow.cn/v1"
)

response = client.chat.completions.create(
    model="Pro/zai-org/GLM-4.7",
    messages=[
        {"role": "system", "content": "你是一个有用的助手"},
        {"role": "user", "content": "你好，请介绍一下你自己"}
    ]
)
print(response.choices[0].message.content)

fetch('https://api.siliconflow.cn/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer YOUR_API_KEY'
  },
  body: JSON.stringify({
    model: 'Pro/zai-org/GLM-4.7',
    messages: [
      {role: 'system', content: '你是一个有用的助手x'},
      {role: 'user', content: '你好，请介绍一下你自己'}
    ]
  })
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));

curl --request POST \
  --url https://api.siliconflow.cn/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "Pro/zai-org/GLM-4.7",
    "messages": [
      {"role": "system", "content": "你是一个有用的助手"},
      {"role": "user", "content": "你好，请介绍一下你自己"}
    ],
    "stream": true
  }'

from openai import OpenAI
client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.siliconflow.cn/v1"
)
response = client.chat.completions.create(
    model="Pro/zai-org/GLM-4.7",
    messages=[
        {"role": "system", "content": "你是一个有用的助手"},
        {"role": "user", "content": "你好，请介绍一下你自己"}
    ],
    stream=True
)
print(response.choices[0].message.content)

fetch('https://api.siliconflow.cn/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer YOUR_API_KEY'
  },
  body: JSON.stringify({
    model: 'Pro/zai-org/GLM-4.7',
    messages: [
      {role: 'system', content: '你是一个有用的助手'},
      {role: 'user', content: '你好，请介绍一下你自己'}
    ],
    "stream": true,
  })
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));

curl --location 'https://api.siliconflow.cn/v1/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--data '{
    "model": "zai-org/GLM-4.6V",
    "messages": [
      {
        "role": "user",
        "content": [
          {"type": "text", "text": "What'\''s in this image?"},
          {
            "type": "image_url",
            "image_url": {
                "url": "https://example.com/image1.jpg"
            }
          }
        ]
    }
    ],
    "temperature": 0.7,
    "max_tokens": 1000
  }'

from openai import OpenAI
client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.siliconflow.cn/v1"
)
response = client.chat.completions.create(
  model="zai-org/GLM-4.6V",
  messages=[
      {
        "role": "user",
        "content": [
          {"type": "text", "text": "What's in this image?"},
          {
            "type": "image_url",
            "image_url": {
                "url": "https://example.com/image1.jpg",
              }
          },
        ],
      }
  ],
  max_tokens=300,
)
print(response.choices[0])

fetch('https://api.siliconflow.cn/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer YOUR_API_KEY'
  },
  body: JSON.stringify({
    model: 'zai-org/GLM-4.6V',
    messages: [
      {role: 'user', content: 'What'\''s in this image?'},
      {role: 'image_url', image_url: {url: 'https://example.com/image1.jpg'}}
    ],
    temperature: 0.7,
    max_tokens: 1000
  })
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));

curl --location 'https://api.siliconflow.cn/v1/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--data '{
  "model": "Pro/zai-org/GLM-4.7",
  "messages": [
    {
      "role": "user",
      "content": "What is the weather like in Boston today?"
    }
  ],
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "get_current_weather",
        "description": "Get the current weather in a given location",
        "parameters": {
          "type": "object",
          "properties": {
            "location": {
              "type": "string",
              "description": "The city and state, e.g. San Francisco, CA"
            },
            "unit": {
              "type": "string",
              "enum": ["celsius", "fahrenheit"]
            }
          },
          "required": ["location"]
        }
      }
    }
  ],
  "tool_choice": "auto"
}'

from openai import OpenAI
client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.siliconflow.cn/v1"
)

tools = [
  {
    "type": "function",
    "function": {
      "name": "get_current_weather",
      "description": "Get the current weather in a given location",
      "parameters": {
        "type": "object",
        "properties": {
          "location": {
            "type": "string",
            "description": "The city and state, e.g. San Francisco, CA",
          },
          "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
        },
        "required": ["location"],
      },
    }
  }
]
messages = [{"role": "user", "content": "What's the weather like in Boston today?"}]
completion = client.chat.completions.create(
  model="Pro/zai-org/GLM-4.7",
  messages=messages,
  tools=tools,
  tool_choice="auto"
)

print(completion)

const apiKey = 'YOUR_API_KEY';

fetch('https://api.siliconflow.cn/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': `Bearer ${apiKey}`
  },
  body: JSON.stringify({
    model: "Pro/zai-org/GLM-4.7",
    messages: [
      {
        role: "user",
        content: "What is the weather like in Boston today?"
      }
    ],
    tools: [
      {
        type: "function",
        function: {
          name: "get_current_weather",
          description: "Get the current weather in a given location",
          parameters: {
            type: "object",
            properties: {
              location: {
                type: "string",
                description: "The city and state, e.g. San Francisco, CA"
              },
              unit: {
                type: "string",
                enum: ["celsius", "fahrenheit"]
              }
            },
            required: ["location"]
          }
        }
      }
    ],
    tool_choice: "auto"
  })
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));