使用动态路由

示例

OpenAI SDK

import OpenAI from "openai";

const cloudflareToken = "CF_AIG_TOKEN";
const accountId = "{account_id}";
const gatewayId = "{gateway_id}";
const baseURL = `https://gateway.ai.cloudflare.com/v1/${accountId}/${gatewayId}/compat`;

const openai = new OpenAI({
	apiKey: cloudflareToken,
	baseURL,
});

try {
	const model = "dynamic/<your-dynamic-route-name>";
	const messages = [{ role: "user", content: "What is a neuron?" }];
	const chatCompletion = await openai.chat.completions.create({
		model,
		messages,
	});
	const response = chatCompletion.choices[0].message;
	console.log(response);
} catch (e) {
	console.error(e);
}

Fetch

curl -X POST https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/compat/chat/completions \
  --header 'cf-aig-authorization: Bearer {CF_AIG_TOKEN}' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "dynamic/<your-dynamic-route-name>",
    "messages": [
      {
        "role": "user",
        "content": "What is Cloudflare?"
      }
    ]
  }'

Workers

index.tsts

export interface Env {
	AI: Ai;
}

export default {
	async fetch(request: Request, env: Env) {
		const response = await env.AI.gateway("default").run({
			provider: "compat",
			endpoint: "chat/completions",
			headers: {},
			query: {
				model: "dynamic/<your-dynamic-route-name>",
				messages: [
					{
						role: "user",
						content: "What is Cloudflare?",
					},
				],
			},
		});
		return Response(response);
	},
};

响应元数据

动态路由的响应与模型响应相同。还有额外元数据用于告知所用模型和提供商，你可以检查以下标头：

cf-aig-model - 所用模型
cf-aig-provider - 所用提供商的 slug