API 管理
管理您的 API 密钥和查看 API 调用文档
本月用量
Token 用量
2.5M
配额上限
10M
API 调用次数
128.5K
API 密钥
API 密钥用于访问推理服务的接口,请妥善保管。密钥只会在创建时显示一次,请及时复制保存。
生产环境密钥
sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
测试环境密钥
sk-yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyy
API 文档
POST
/v1/chat/completions
创建聊天完成请求,支持流式和非流式响应
curl https://api.gxcoreshub.cn/v1 \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "qwen2.5-72b",
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello!"}
],
"stream": false
}'
POST
/v1/completions
创建文本补全请求
curl https://api.gxcoreshub.cn/v1/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "qwen2.5-72b",
"prompt": "Once upon a time",
"max_tokens": 100
}'
GET
/v1/models
获取可用的模型列表
curl https://api.gxcoreshub.cn/v1/models \ -H "Authorization: Bearer YOUR_API_KEY"
SDK 示例
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.gxcoreshub.cn/v1"
)
response = client.chat.completions.create(
model="qwen2.5-72b",
messages=[
{"role": "user", "content": "你好!"}
]
)
print(response.choices[0].message.content)