OpenAI ↗ 帮助您使用 ChatGPT 进行构建。
https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/openai
https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/openai/chat/completions \
https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/openai/responses \
在向 OpenAI 发出请求时,将您当前使用的 URL 中的 https://api.openai.com/v1
替换为 https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/openai
。
在向 OpenAI 发出请求时,确保您具有以下内容:
- 您的 AI 网关账户 ID。
- 您的 AI 网关网关名称。
- 一个有效的 OpenAI API 令牌。
- 您要使用的 OpenAI 模型的名称。
curl https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/openai/chat/completions \--header 'Authorization: Bearer {openai_token}' \--header 'Content-Type: application/json' \--data '{ "model": "gpt-4o-mini", "messages": [ { "role": "user", "content": "What is Cloudflare?" } ]}'
import OpenAI from "openai";
const apiKey = "my api key"; // 或 process.env["OPENAI_API_KEY"]const accountId = "{account_id}";const gatewayId = "{gateway_id}";const baseURL = `https://gateway.ai.cloudflare.com/v1/${accountId}/${gatewayId}/openai`;
const openai = new OpenAI({ apiKey, baseURL,});
try { const model = "gpt-3.5-turbo-0613"; const messages = [{ role: "user", content: "What is a neuron?" }]; const maxTokens = 100; const chatCompletion = await openai.chat.completions.create({ model, messages, max_tokens: maxTokens, }); const response = chatCompletion.choices[0].message; console.log(response);} catch (e) { console.error(e);}
curl https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/openai/responses \--header 'Authorization: Bearer {openai_token}' \--header 'Content-Type: application/json' \--data '{ "model": "gpt-4.1", "input": [ { "role": "user", "content": "Write a one-sentence bedtime story about a unicorn." } ]}'
import OpenAI from "openai";
const apiKey = "my api key"; // 或 process.env["OPENAI_API_KEY"]const accountId = "{account_id}";const gatewayId = "{gateway_id}";const baseURL = `https://gateway.ai.cloudflare.com/v1/${accountId}/${gatewayId}/openai`;
const openai = new OpenAI({ apiKey, baseURL,});
try { const model = "gpt-4.1"; const input = [ { role: "user", content: "Write a one-sentence bedtime story about a unicorn.", }, ]; const response = await openai.responses.create({ model, input, }); console.log(response.output_text);} catch (e) { console.error(e);}
- @2025 Cloudflare Ubitools
- Cf Repo