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https://github.com/grenzlinie/test_cloudflare
https://github.com/grenzlinie/test_cloudflare
Last synced: about 12 hours ago
JSON representation
- Host: GitHub
- URL: https://github.com/grenzlinie/test_cloudflare
- Owner: Grenzlinie
- License: mit
- Created: 2024-06-19T09:02:43.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-06-19T11:06:38.000Z (5 months ago)
- Last Synced: 2024-06-20T19:27:48.554Z (5 months ago)
- Language: HTML
- Size: 1.63 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
*经测试有些ip访问时会显示下图*
---
### Demo
[https://chatai.451024.xyz](https://chatai.451024.xyz)
> api
```url
https://openai.451024.xyz
```
```url
https://openai-proxy-api.pages.dev/api
```
***
> 新项目 [基于OpenAI的微信机器人](https://github.com/x-dr/wechat-bot)
***
### 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
## 利用Cloudflare Worker中转api.openai.com
1. 新建一个 Cloudflare Worker
2. 复制 [cf_worker.js](https://cdn.jsdelivr.net/gh/x-dr/chatgptProxyAPI@main/cf_worker.js) 里的代码粘贴到 Worker 中并部署
3. 给 Worker 绑定一个没有被墙的域名
4. 使用自己的域名代替 api.openai.com
**[详细教程](./docs/cloudflare_workers.md)**
***
## 使用CloudFlare Pages进行中转
### 1、部署中转API+ Openai API余额查询 (使用sess-xxxx的Authorization查询，有效时间未知)
> [官方文档](https://developers.cloudflare.com/pages)
1. ~~Fork本项目~~ 点击[Use this template](https://github.com/x-dr/chatgptProxyAPI/generate)按钮创建一个新的代码库。
2. 登录到[Cloudflare](https://dash.cloudflare.com/)控制台.
3. 在帐户主页中，选择`pages`> ` Create a project` > `Connect to Git`
4. 选择你 Fork 的项目存储库，在`Set up builds and deployments`部分中，全部默认即可。
5. 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` 即可
**Demo**
[https://chatai.451024.xyz](https://chatai.451024.xyz)
**[详细教程](./docs/cloudflare_pages.md)**
### 2、只部署中转API
**[详细教程](./docs/cloudflare_proxy_pages.md)**
## docker 部署（要境外vps）
> 好像不支持sse 所以不建议
e.g.
```bash
docker run -itd --name openaiproxy \
-p 3000:3000 \
--restart=always \
gindex/openaiproxy:latest
```
#### 使用
*api : http://vpsip:3000/proxy/v1/chat/completions*
```bash
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
```javascript
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
```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](https://github.com/transitive-bullshit/chatgpt-api)
```javascript
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
```javascript
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);
}
```
## Star History
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