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import grpc from '@grpc/grpc-js';
import protoLoader from '@grpc/proto-loader';
import {AutoRouter, cors, error, json} from 'itty-router';
import dotenv from 'dotenv';
import path,{ dirname } from 'path';
import { fileURLToPath } from 'url';
import {createServerAdapter} from '@whatwg-node/server';
import {createServer} from 'http';
// 加载环境变量
dotenv.config();
// 获取当前文件的目录路径(ESM 方式)
const __dirname = dirname(fileURLToPath(import.meta.url));
// 初始化配置
class Config {
constructor() {
this.API_PREFIX = process.env.API_PREFIX || '/';
this.API_KEY = process.env.API_KEY || '';
this.MAX_RETRY_COUNT = process.env.MAX_RETRY_COUNT || 3;
this.RETRY_DELAY = process.env.RETRY_DELAY || 5000;
this.COMMON_GRPC = 'runtime-native-io-vertex-inference-grpc-service-lmuw6mcn3q-ul.a.run.app';
this.COMMON_PROTO = path.join(__dirname,'..', 'protos', 'VertexInferenceService.proto')
this.GPT_GRPC = 'runtime-native-io-gpt-inference-grpc-service-lmuw6mcn3q-ul.a.run.app';
this.GPT_PROTO = path.join(__dirname,'..', 'protos', 'GPTInferenceService.proto')
this.PORT = process.env.PORT || 8787;
}
}
class GRPCHandler {
constructor(protoFilePath) {
// 动态加载传入的 .proto 文件路径
this.packageDefinition = protoLoader.loadSync(protoFilePath, {
keepCase: true,
longs: String,
enums: String,
defaults: true,
oneofs: true
});
}
}
const config = new Config();
// 中间件
// 添加运行回源
const { preflight, corsify } = cors({
origin: '*',
allowMethods: '*',
exposeHeaders: '*',
});
// 添加认证
const withAuth = (request) => {
if (config.API_KEY) {
const authHeader = request.headers.get('Authorization');
if (!authHeader || !authHeader.startsWith('Bearer ')) {
return error(401, 'Unauthorized: Missing or invalid Authorization header');
}
const token = authHeader.substring(7);
if (token !== config.API_KEY) {
return error(403, 'Forbidden: Invalid API key');
}
}
};
// 返回运行信息
const logger = (res, req) => {
console.log(req.method, res.status, req.url, Date.now() - req.start, 'ms');
};
const router = AutoRouter({
before: [preflight, withAuth],
missing: () => error(404, '404 not found.'),
finally: [corsify, logger],
});
// Router路径
router.get('/', () => json({ message: 'API 服务运行中~' }));
router.get('/ping', () => json({ message: 'pong' }));
router.get(config.API_PREFIX + '/v1/models', () =>
json({
object: 'list',
data: [
{ id: "gpt-4o-mini", object: "model", owned_by: "pieces-os" },
{ id: "gpt-4o", object: "model", owned_by: "pieces-os" },
{ id: "gpt-4-turbo", object: "model", owned_by: "pieces-os" },
{ id: "gpt-4", object: "model", owned_by: "pieces-os" },
{ id: "gpt-3.5-turbo", object: "model", owned_by: "pieces-os" },
{ id: "claude-3-sonnet@20240229", object: "model", owned_by: "pieces-os" },
{ id: "claude-3-opus@20240229", object: "model", owned_by: "pieces-os" },
{ id: "claude-3-haiku@20240307", object: "model", owned_by: "pieces-os" },
{ id: "claude-3-5-sonnet@20240620", object: "model", owned_by: "pieces-os" },
{ id: "gemini-1.5-flash", object: "model", owned_by: "pieces-os" },
{ id: "gemini-1.5-pro", object: "model", owned_by: "pieces-os" },
{ id: "chat-bison", object: "model", owned_by: "pieces-os" },
{ id: "codechat-bison", object: "model", owned_by: "pieces-os" },
],
})
);
router.post(config.API_PREFIX + '/v1/chat/completions', (req) => handleCompletion(req));
async function GrpcToPieces(models, message, rules, stream, temperature, top_p) {
// 在非GPT类型的模型中,temperature和top_p是无效的
// 使用系统的根证书
const credentials = grpc.credentials.createSsl();
let client,request;
if (models.includes('gpt')){
// 加载proto文件
const packageDefinition = new GRPCHandler(config.GPT_PROTO).packageDefinition;
// 构建请求消息
request = {
models: models,
messages: [
{role: 0, message: rules}, // system
{role: 1, message: message} // user
],
temperature:temperature || 0.1,
top_p:top_p ?? 1,
}
// 获取gRPC对象
const GRPCobjects = grpc.loadPackageDefinition(packageDefinition).runtime.aot.machine_learning.parents.gpt;
client = new GRPCobjects.GPTInferenceService(config.GPT_GRPC, credentials);
} else {
// 加载proto文件
const packageDefinition = new GRPCHandler(config.COMMON_PROTO).packageDefinition;
// 构建请求消息
request = {
models: models,
args: {
messages: {
unknown: 1,
message: message
},
rules: rules
}
};
// 获取gRPC对象
const GRPCobjects = grpc.loadPackageDefinition(packageDefinition).runtime.aot.machine_learning.parents.vertex;
client = new GRPCobjects.VertexInferenceService(config.COMMON_GRPC, credentials);
}
return await ConvertOpenai(client,request,models,stream);
}
async function messagesProcess(messages) {
let rules = '';
let message = '';
for (const msg of messages) {
let role = msg.role;
// 格式化为字符串
const contentStr = Array.isArray(msg.content)
? msg.content
.filter((item) => item.text)
.map((item) => item.text)
.join('') || ''
: msg.content;
// 判断身份
if (role === 'system') {
rules += `system:${contentStr};\r\n`;
} else if (['user', 'assistant'].includes(role)) {
message += `${role}:${contentStr};\r\n`;
}
}
return { rules, message };
}
async function ConvertOpenai(client,request,model,stream) {
for (let i = 0; i < config.MAX_RETRY_COUNT; i++) {
try {
if (stream) {
const call = client.PredictWithStream(request);
const encoder = new TextEncoder();
const ReturnStream = new ReadableStream({
start(controller) {
call.on('data', (response) => {
let response_code = Number(response.response_code);
if (response_code === 204) {
// 如果 response_code 是 204,关闭流
controller.close()
call.destroy()
} else if (response_code === 200) {
let response_message
if (model.includes('gpt')) {
response_message = response.body.message_warpper.message.message;
} else {
response_message = response.args.args.args.message;
}
// 否则,将数据块加入流中
controller.enqueue(encoder.encode(`data: ${JSON.stringify(ChatCompletionStreamWithModel(response_message, model))}\n\n`));
} else {
controller.error(new Error(`Error: stream chunk is not success`));
controller.close()
}
})
}
});
return new Response(ReturnStream, {
headers: {
'Content-Type': 'text/event-stream',
},
})
} else {
const call = await new Promise((resolve, reject) => {
client.Predict(request, (err, response) => {
if (err) reject(err);
else resolve(response);
});
});
let response_code = Number(call.response_code);
if (response_code === 200) {
let response_message
if (model.includes('gpt')) {
response_message = call.body.message_warpper.message.message;
} else {
response_message = call.args.args.args.message;
}
return new Response(JSON.stringify(ChatCompletionWithModel(response_message, model)), {
headers: {
'Content-Type': 'application/json',
},
});
}
}
} catch (err) {
console.error(err);
await new Promise((resolve) => setTimeout(resolve, config.RETRY_DELAY));
}
}
return error(500, err.message);
}
function renameIfNeeded(input) {
// 替换的正则表达式
const regex = /^(claude-3-(5-sonnet|haiku|sonnet|opus))-(\d{8})$/;
const match = input.match(regex);
if (match) {
return `${match[1]}@${match[3]}`;
}
return input;
}
function ChatCompletionWithModel(message, model) {
return {
id: 'Chat-Nekohy',
object: 'chat.completion',
created: Date.now(),
model,
usage: {
prompt_tokens: 0,
completion_tokens: 0,
total_tokens: 0,
},
choices: [
{
message: {
content: message,
role: 'assistant',
},
index: 0,
},
],
};
}
function ChatCompletionStreamWithModel(text, model) {
return {
id: 'chatcmpl-Nekohy',
object: 'chat.completion.chunk',
created: 0,
model,
choices: [
{
index: 0,
delta: {
content: text,
},
finish_reason: null,
},
],
};
}
async function handleCompletion(request) {
try {
// todo stream逆向接口
// 解析openai格式API请求
const { model: inputModel, messages, stream,temperature,top_p} = await request.json();
console.log(inputModel,messages,stream)
const model = renameIfNeeded(inputModel);
// 解析system和user/assistant消息
const { rules, message:content } = await messagesProcess(messages);
console.log(rules,content)
// 响应码,回复的消息
return await GrpcToPieces(model, content, rules, stream, temperature, top_p);
} catch (err) {
return error(500, err.message);
}
}
(async () => {
//For Cloudflare Workers
if (typeof addEventListener === 'function') return;
// For Nodejs
const ittyServer = createServerAdapter(router.fetch);
console.log(`Listening on http://localhost:${config.PORT}`);
const httpServer = createServer(ittyServer);
httpServer.listen(config.PORT);
})(); |