API: 获取用户模型列表 (Models)

List models

Lists the currently available models, and provides basic information about each one such as the owner and availability.

端点:GET https://khb.net.cn/v1/models

Authorization

设置请求头 Authorization: Bearer {your API key} 进行身份验证。

Query Parameters

type (string, optional)

按模型主类型筛选。可选值:

• text – 文本类(对话、嵌入、重排序等)
• image – 图像类(图片生成、图生图等)
• audio – 语音类(语音合成、语音转文本等)
• video – 视频类(视频生成等)

sub_type (string, optional)

按模型子类型筛选,可在不设置 type 的情况下独立过滤模型。可选值:

• chat – 对话模型
• embedding – 嵌入模型
• reranker – 重排序模型
• text-to-image – 文生图
• image-to-image – 图生图
• speech-to-text – 语音转文本
• text-to-video – 文生视频

代码示例

cURL

curl --request GET \
  --url https://khb.net.cn/v1/models \
  --header 'Authorization: Bearer YOUR_API_KEY'

Python

from openai import OpenAI

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

# 获取所有模型
all_models = client.models.list()
for model in all_models.data:
    print(f"{model.id} - owned_by: {model.owned_by}")

# 只获取对话模型
chat_models = client.models.list(type="text", sub_type="chat")
print(f"\n对话模型数量: {len(chat_models.data)}")

JavaScript

const options = {
  method: 'GET',
  headers: {Authorization: 'Bearer YOUR_API_KEY'}
};

fetch('https://khb.net.cn/v1/models', options)
  .then(response => response.json())
  .then(response => console.log(response))
  .catch(err => console.error(err));

Response Body

{
  "object": "list",
  "data": [
    {
      "id": "Qwen/Qwen2.5-72B-Instruct",
      "object": "model",
      "created": 1741685396,
      "owned_by": "khb"
    },
    {
      "id": "deepseek-ai/DeepSeek-V3",
      "object": "model",
      "created": 1741685396,
      "owned_by": "khb"
    }
  ]
}

使用建议

• 建议在应用启动时调用此接口获取最新模型列表,缓存到本地
• 模型 ID 区分大小写,需与 模型广场 完全一致
• 已下线的模型仍可能返回,但调用时会返回 400 错误

错误码