Spaces:
Build error
Build error
File size: 4,976 Bytes
f0499d2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 |
# Azure OpenAI 支持
该方案为临时方案,并不保证稳定,也会不定期更新。
如使用出现问题请提 [Issues](https://github.com/Hk-Gosuto/ChatGPT-Next-Web-LangChain/issues)。
## 如何配置
首先根据 [cf-openai-azure-proxy](https://github.com/haibbo/cf-openai-azure-proxy/blob/main/README.md) 文档先部署一个 proxy。
之后替换 cf-openai-azure-proxy.js 为如下内容:
```js
// Last Modified Time 2023-09-22 17:30:47
// The name of your Azure OpenAI Resource.
const resourceName=RESOURCE_NAME
// The deployment name you chose when you deployed the model.
const mapper = {
'gpt-3.5-turbo': DEPLOY_NAME_GPT35,
'gpt-3.5-turbo-16k': DEPLOY_NAME_GPT35_16K,
'gpt-4': DEPLOY_NAME_GPT4,
'gpt-4-32k': DEPLOY_NAME_GPT4_32K,
};
const apiVersion = "2023-09-01-preview"
addEventListener("fetch", (event) => {
event.respondWith(handleRequest(event.request));
});
async function handleRequest(request) {
if (request.method === 'OPTIONS') {
return handleOPTIONS(request)
}
const url = new URL(request.url);
if (url.pathname.startsWith("//")) {
url.pathname = url.pathname.replace('/', "")
}
if (url.pathname === '/v1/chat/completions') {
var path = "chat/completions"
} else if (url.pathname === '/v1/completions') {
var path = "completions"
} else if (url.pathname === '/v1/models') {
return handleModels(request)
} else {
return new Response('404 Not Found', { status: 404 })
}
let body;
if (request.method === 'POST') {
body = await request.json();
}
const modelName = body?.model;
const deployName = mapper[modelName] || ''
if (deployName === '') {
return new Response('Missing model mapper', {
status: 403
});
}
const fetchAPI = `https://${resourceName}.openai.azure.com/openai/deployments/${deployName}/${path}?api-version=${apiVersion}`
const authKey = request.headers.get('Authorization');
if (!authKey) {
return new Response("Not allowed", {
status: 403
});
}
const payload = {
method: request.method,
headers: {
"Content-Type": "application/json",
"api-key": authKey.replace('Bearer ', ''),
},
body: typeof body === 'object' ? JSON.stringify(body) : '{}',
};
let response = await fetch(fetchAPI, payload);
response = new Response(response.body, response);
response.headers.set("Access-Control-Allow-Origin", "*");
if (body?.stream != true) {
return response
}
let { readable, writable } = new TransformStream()
stream(response.body, writable);
return new Response(readable, response);
}
function sleep(ms) {
return new Promise(resolve => setTimeout(resolve, ms));
}
// support printer mode and add newline
async function stream(readable, writable) {
const reader = readable.getReader();
const writer = writable.getWriter();
// const decoder = new TextDecoder();
const encoder = new TextEncoder();
const decoder = new TextDecoder();
// let decodedValue = decoder.decode(value);
const newline = "\n";
const delimiter = "\n\n"
const encodedNewline = encoder.encode(newline);
let buffer = "";
while (true) {
let { value, done } = await reader.read();
if (done) {
break;
}
buffer += decoder.decode(value, { stream: true }); // stream: true is important here,fix the bug of incomplete line
let lines = buffer.split(delimiter);
// Loop through all but the last line, which may be incomplete.
for (let i = 0; i < lines.length - 1; i++) {
if (lines[i].includes('"delta"') || lines[i].includes('[DONE]')) {
await writer.write(encoder.encode(lines[i] + delimiter));
await sleep(20);
}
}
buffer = lines[lines.length - 1];
}
if (buffer) {
await writer.write(encoder.encode(buffer));
}
await writer.write(encodedNewline)
await writer.close();
}
async function handleModels(request) {
const data = {
"object": "list",
"data": []
};
for (let key in mapper) {
data.data.push({
"id": key,
"object": "model",
"created": 1677610602,
"owned_by": "openai",
"permission": [{
"id": "modelperm-M56FXnG1AsIr3SXq8BYPvXJA",
"object": "model_permission",
"created": 1679602088,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}],
"root": key,
"parent": null
});
}
const json = JSON.stringify(data, null, 2);
return new Response(json, {
headers: { 'Content-Type': 'application/json' },
});
}
async function handleOPTIONS(request) {
return new Response(null, {
headers: {
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Methods': '*',
'Access-Control-Allow-Headers': '*'
}
})
}
```
|