Documentation Index
Fetch the complete documentation index at: /llms.txt
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几行代码，完成你的第一次模型调用。
创建 API 密钥
export CODEFLARE_API_KEY="YOUR_CODEFLARE_KEY"
选择区域与模型
| 配置 | 示例占位符 |
|---|---|
| Base URL | https://YOUR-REGION.example/v1 |
| 模型 ID | MODEL_ID |
发起第一次请求
python -m pip install openai；JavaScript 使用 npm install openai。from openai import OpenAI
import os
client = OpenAI(
api_key=os.environ["CODEFLARE_API_KEY"],
base_url="https://YOUR-REGION.example/v1",
max_retries=0,
)
response = client.responses.create(
model="MODEL_ID", input="Hello",
max_output_tokens=256, store=False,
)
print(response.output_text)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.CODEFLARE_API_KEY,
baseURL: "https://YOUR-REGION.example/v1",
maxRetries: 0,
});
const response = await client.responses.create({
model: "MODEL_ID", input: "Hello",
max_output_tokens: 256, store: false,
});
console.log(response.output_text);
curl "https://YOUR-REGION.example/v1/responses" \
-H "Authorization: Bearer $CODEFLARE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{"model":"MODEL_ID","input":"Hello","max_output_tokens":256,"store":false}'