Build AI agents on Cloudflare …

# Cloudflare Workers AI客服机器人（Agents SDK + 订单查询）

一、项目结构

```

ai-agent/

├── src/agent.js # AI客服Agent

├── src/tools.js # 订单查询工具

├── wrangler.toml

└── schema.sql # D1订单表

```

二、完整代码

wrangler.toml

```toml

name = "ai-cs-bot"

main = "src/agent.js"

compatibility_date = "2025-01-01"

[[d1_databases]]

binding = "DB"

database_name = "orders-db"

database_id = "your-d1-id"

[ai]

binding = "AI"

[[durable_objects.bindings]]

name = "CS_AGENT"

class_name = "CustomerServiceAgent"

[[migrations]]

tag = "v1"

new_sqlite_classes = ["CustomerServiceAgent"]

```

src/tools.js

```js

export async function queryOrder(db, orderId) {

const row = await db.prepare(

"SELECT order_id, status, tracking_no, updated_at FROM orders WHERE order_id = ?"

).bind(orderId).first();

return row || { error: "订单不存在，请核对订单号" };

}

```

src/agent.js

```js

import { Agent, tool } from "agents";

import { queryOrder } from "./tools";

export class CustomerServiceAgent extends Agent {

tools = {

queryOrder: tool({

description: "查询订单状态，参数为订单号",

parameters: { order_id: { type: "string" } },

execute: ({ order_id }) => queryOrder(this.env.DB, order_id),

}),

};

async onRequest(request) {

const { message } = await request.json();

const result = await this.env.AI.run("@cf/meta/llama-3.1-8b-instruct", {

messages: [

{ role: "system", content:

"你是商城客服小助手。涉及订单问题必须调用queryOrder工具查真实状态，禁止编造。查询后用友好中文回复，附物流单号和更新时间。" },

...this.chatHistory("chat"),

{ role: "user", content: message },

],

tools: [{ name: "