新项目 基于OpenAI的微信机器人
Demo
api
https://openai.1rmb.tk
或
https://openai-proxy-api.pages.dev/api
演示站为公共服务,如有大规模使用需求请自行部署,演示站有点不堪重负
1、利用Cloudflare Worker中转api.openai.com
- 新建一个 Cloudflare Worker
- 复制 cf_worker.js 里的代码粘贴到 Worker 中并部署
- 给 Worker 绑定一个没有被墙的域名
- 使用自己的域名代替 api.openai.com
2、使用CloudFlare Pages进行中转
3、利用nextjs edge中转api.openai.com
利用Cloudflare pages部署
Fork本项目点击Use this template按钮创建一个新的代码库。- 登录到Cloudflare控制台.
- 在帐户主页中,选择
pages
>Create a project
>Connect to Git
- 选择你 Fork 的项目存储库,在
Set up builds and deployments
部分中,选择Next.js
作为您的框架预设。您的选择将提供以下信息。
一般默认即可
Configuration option | Value |
---|---|
Production branch | main |
Framework preset | next.js |
Build command | npx @cloudflare/next-on-pages --experimental-minify |
Build directory | .vercel/output/static |
在
Environment variables (advanced)
添加一个参数
Variable name | Value |
---|---|
NODE_VERSION | 16 |
- 点击
Save and Deploy
部署,然后点Continue to project
即可看到访问域名
把官方接口的
https://api.openai.com
替换为https://xxx.pages.dev/api
即可 (https://xxx.pages.dev/api 为你的域名)
注意路径多了一个api
docker 部署(要境外vps)
好像不支持sse 所以不建议
e.g.
docker run -itd --name openaiproxy \
-p 3000:3000 \
--restart=always \
gindex/openaiproxy:latest
使用
api : http://vpsip:3000/proxy/v1/chat/completions
curl --location 'http://vpsip:3000/proxy/v1/chat/completions' \
--header 'Authorization: Bearer sk-xxxxxxxxxxxxxxx' \
--header 'Content-Type: application/json' \
--data '{
"model": "gpt-3.5-turbo",
"messages": [{"role": "user", "content": "Hello!"}]
}'
用法
JavaScript用fetch
const requestOptions = {
method: 'POST',
headers: {
"Authorization": "Bearer sk-xxxxxxxxxxxx",
"Content-Type": "application/json"
},
body: JSON.stringify({
"model": "gpt-3.5-turbo",
"messages": [
{
"role": "user",
"content": "hello word"
}
]
})
};
fetch("https://openai.1rmb.tk/v1/chat/completions", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));
用python
import requests
url = "https://openai.1rmb.tk/v1/chat/completions"
api_key = 'sk-xxxxxxxxxxxxxxxxxxxx'
headers = {
'Authorization': f'Bearer {api_key}',
'Content-Type': 'application/json'
}
payload = {
"model": "gpt-3.5-turbo",
"messages": [
{
"role": "user",
"content": "hello word"
}
]
}
try:
response = requests.post(url, headers=headers, json=payload)
response.raise_for_status() # 抛出异常,如果响应码不是200
data = response.json()
print(data)
except requests.exceptions.RequestException as e:
print(f"请求错误: {e}")
except json.JSONDecodeError as e:
print(f"无效的 JSON 响应: {e}")
用nodejs chatgpt库
transitive-bullshit/chatgpt-api
import { ChatGPTAPI } from 'chatgpt'
async function example() {
const api = new ChatGPTAPI({
apiKey: "sk-xxxxxxxxxxxxxx",
// proxy+/v1
apiBaseUrl:"https://openai.1rmb.tk/v1"
})
const res = await api.sendMessage('Hello World!')
console.log(res.text)
}
example()
查询余额
const headers = {
'content-type': 'application/json',
'Authorization': `Bearer sk-xxxxxxxxxxxxxxxxx`
}
// 查是否订阅
const subscription = await fetch("https://openai.1rmb.tk/v1/dashboard/billing/subscription", {
method: 'get',
headers: headers
})
if (!subscription.ok) {
const data = await subscription.json()
// console.log(data);
return data
// throw new Error('API request failed')
} else {
const subscriptionData = await subscription.json()
const endDate = subscriptionData.access_until
const startDate = new Date(endDate - 90 * 24 * 60 * 60);
console.log(formatDate(endDate, "YYYY-MM-DD"));
console.log(formatDate(startDate, "YYYY-MM-DD"));
const response = await fetch(`https://openai.1rmb.tk/v1/dashboard/billing/usage?start_date=${formatDate(startDate, "YYYY-MM-DD")}&end_date=${formatDate(endDate, "YYYY-MM-DD")}`, {
method: 'get',
headers: headers
})
const usageData = await response.json();
// 账号类型
const plan = subscriptionData.plan.id
console.log(usageData);
}