903b6bbcaf
新增完整的API代理服务架构，支持Gemini、OpenAI和Claude等多种大模型API的统一接入。主要变更包括： 1. 实现策略模式架构，新增provider-strategies.js处理不同API协议 2. 添加适配器层(adapter.js)统一服务接口 3. 实现三种核心模型(Gemini/OpenAI/Claude)的完整支持 4. 添加测试配置和依赖 5. 更新README文档说明新架构和使用方式 6. 新增.gitignore配置和项目元文件
449 lines
23 KiB
JavaScript
449 lines
23 KiB
JavaScript
/**
|
||
* @license
|
||
* Copyright 2025 Google LLC
|
||
* SPDX-License-Identifier: Apache-2.0
|
||
*
|
||
* 描述 / Description:
|
||
* (最终生产就绪版本 / Final Production Ready Version)
|
||
* 此脚本创建一个独立的 Node.js HTTP 服务器，作为 Google Cloud Code Assist API 的本地代理。
|
||
* 此版本包含所有功能和错误修复，设计为健壮、灵活且易于通过全面可控的日志系统进行监控。
|
||
*
|
||
* This script creates a standalone Node.js HTTP server that acts as a local proxy for the Google Cloud Code Assist API.
|
||
* This version includes all features and bug fixes, designed to be robust, flexible, and easy to monitor through a comprehensive and controllable logging system.
|
||
*
|
||
* 主要功能 / Key Features:
|
||
* - OpenAI & Gemini & Claude 多重兼容性：无缝桥接使用 OpenAI API 格式的客户端与 Google Gemini API。支持原生 Gemini API (`/v1beta`) 和 OpenAI 兼容 (`/v1`) 端点。
|
||
* OpenAI & Gemini & Claude Dual Compatibility: Seamlessly bridges clients using the OpenAI API format with the Google Gemini API. Supports both native Gemini API (`/v1beta`) and OpenAI-compatible (`/v1`) endpoints.
|
||
*
|
||
* - 强大的身份验证管理：支持多种身份验证方法，包括通过 Base64 字符串、文件路径或自动发现本地凭据的 OAuth 2.0 配置。能够自动刷新过期令牌以确保服务持续运行。
|
||
* Robust Authentication Management: Supports multiple authentication methods, including OAuth 2.0 configuration via Base64 strings, file paths, or automatic discovery of local credentials. Capable of automatically refreshing expired tokens to ensure continuous service operation.
|
||
*
|
||
* - 灵活的 API 密钥验证：支持三种 API 密钥验证方法：`Authorization: Bearer <key>` 请求头、`x-goog-api-key` 请求头和 `?key=` URL 查询参数，可通过 `--api-key` 启动参数配置。
|
||
* Flexible API Key Validation: Supports three API key validation methods: `Authorization: Bearer <key>` request header, `x-goog-api-key` request header, and `?key=` URL query parameter, configurable via the `--api-key` startup parameter.
|
||
*
|
||
* - 动态系统提示管理 / Dynamic System Prompt Management:
|
||
* - 文件注入：通过 `--system-prompt-file` 从外部文件加载系统提示，并通过 `--system-prompt-mode` 控制其行为（覆盖或追加）。
|
||
* File Injection: Loads system prompts from external files via `--system-prompt-file` and controls their behavior (overwrite or append) with `--system-prompt-mode`.
|
||
* - 实时同步：能够将请求中包含的系统提示实时写入 `fetch_system_prompt.txt` 文件，便于开发者观察和调试。
|
||
* Real-time Synchronization: Capable of writing system prompts included in requests to the `fetch_system_prompt.txt` file in real-time, facilitating developer observation and debugging.
|
||
*
|
||
* - 智能请求转换和修复：自动将 OpenAI 格式的请求转换为 Gemini 格式，包括角色映射（`assistant` -> `model`）、合并来自同一角色的连续消息以及修复缺失的 `role` 字段。
|
||
* Intelligent Request Conversion and Repair: Automatically converts OpenAI-formatted requests to Gemini format, including role mapping (`assistant` -> `model`), merging consecutive messages from the same role, and fixing missing `role` fields.
|
||
*
|
||
* - 全面可控的日志系统：提供两种日志模式（控制台或文件），详细记录每个请求的输入和输出、剩余令牌有效性等信息，用于监控和调试。
|
||
* Comprehensive and Controllable Logging System: Provides two logging modes (console or file), detailing input and output of each request, remaining token validity, and other information for monitoring and debugging.
|
||
*
|
||
* - 高度可配置的启动：支持通过命令行参数配置服务监听地址、端口、项目 ID、API 密钥和日志模式。
|
||
* Highly Configurable Startup: Supports configuring service listening address, port, project ID, API key, and logging mode via command-line parameters.
|
||
*
|
||
* 使用示例 / Usage Examples:
|
||
*
|
||
* 基本用法 / Basic Usage:
|
||
* node src/api-server.js
|
||
*
|
||
* 服务器配置 / Server Configuration:
|
||
* node src/api-server.js --host 0.0.0.0 --port 8080 --api-key your-secret-key
|
||
*
|
||
* OpenAI 提供商 / OpenAI Provider:
|
||
* node src/api-server.js --model-provider openai-custom --openai-api-key sk-xxx --openai-base-url https://api.openai.com/v1
|
||
*
|
||
* Claude 提供商 / Claude Provider:
|
||
* node src/api-server.js --model-provider claude-custom --claude-api-key sk-ant-xxx --claude-base-url https://api.anthropic.com
|
||
*
|
||
* Gemini 提供商（使用 Base64 凭据的 OAuth）/ Gemini Provider (OAuth with Base64 credentials):
|
||
* node src/api-server.js --model-provider gemini-cli --gemini-oauth-creds-base64 eyJ0eXBlIjoi... --project-id your-project-id
|
||
*
|
||
* Gemini 提供商（使用凭据文件的 OAuth）/ Gemini Provider (OAuth with credentials file):
|
||
* node src/api-server.js --model-provider gemini-cli --gemini-oauth-creds-file /path/to/credentials.json --project-id your-project-id
|
||
*
|
||
* 系统提示管理 / System Prompt Management:
|
||
* node src/api-server.js --system-prompt-file custom-prompt.txt --system-prompt-mode append
|
||
*
|
||
* 日志配置 / Logging Configuration:
|
||
* node src/api-server.js --log-prompts console
|
||
* node src/api-server.js --log-prompts file --prompt-log-base-name my-logs
|
||
*
|
||
* 完整示例 / Complete Example:
|
||
* node src/api-server.js \
|
||
* --host 0.0.0.0 \
|
||
* --port 3000 \
|
||
* --api-key my-secret-key \
|
||
* --model-provider gemini-cli \
|
||
* --project-id my-gcp-project \
|
||
* --gemini-oauth-creds-file ./credentials.json \
|
||
* --system-prompt-file ./custom-system-prompt.txt \
|
||
* --system-prompt-mode overwrite \
|
||
* --log-prompts file \
|
||
* --prompt-log-base-name api-logs
|
||
*
|
||
* 命令行参数 / Command Line Parameters:
|
||
* --host <address> 服务器监听地址 / Server listening address (default: localhost)
|
||
* --port <number> 服务器监听端口 / Server listening port (default: 3000)
|
||
* --api-key <key> 身份验证所需的 API 密钥 / Required API key for authentication (default: 123456)
|
||
* --model-provider <provider> AI 模型提供商 / AI model provider: openai-custom, claude-custom, gemini-cli, kiro-api
|
||
* --openai-api-key <key> OpenAI API 密钥 / OpenAI API key (for openai-custom provider)
|
||
* --openai-base-url <url> OpenAI API 基础 URL / OpenAI API base URL (for openai-custom provider)
|
||
* --claude-api-key <key> Claude API 密钥 / Claude API key (for claude-custom provider)
|
||
* --claude-base-url <url> Claude API 基础 URL / Claude API base URL (for claude-custom provider)
|
||
* --gemini-oauth-creds-base64 <b64> Gemini OAuth 凭据的 Base64 字符串 / Gemini OAuth credentials as Base64 string
|
||
* --gemini-oauth-creds-file <path> Gemini OAuth 凭据 JSON 文件路径 / Path to Gemini OAuth credentials JSON file
|
||
* --project-id <id> Google Cloud 项目 ID / Google Cloud Project ID (for gemini-cli provider)
|
||
* --system-prompt-file <path> 系统提示文件路径 / Path to system prompt file (default: input_system_prompt.txt)
|
||
* --system-prompt-mode <mode> 系统提示模式 / System prompt mode: overwrite or append (default: overwrite)
|
||
* --log-prompts <mode> 提示日志模式 / Prompt logging mode: console, file, or none (default: none)
|
||
* --prompt-log-base-name <name> 提示日志文件基础名称 / Base name for prompt log files (default: prompt_log)
|
||
*
|
||
*/
|
||
|
||
|
||
|
||
import * as http from 'http';
|
||
import * as fs from 'fs'; // Import fs module
|
||
import 'dotenv/config'; // Import dotenv and configure it
|
||
|
||
import deepmerge from 'deepmerge';
|
||
import { getServiceAdapter } from './adapter.js';
|
||
import {
|
||
INPUT_SYSTEM_PROMPT_FILE,
|
||
API_ACTIONS,
|
||
MODEL_PROVIDER,
|
||
ENDPOINT_TYPE,
|
||
isAuthorized,
|
||
handleModelListRequest,
|
||
handleContentGenerationRequest,
|
||
handleError,
|
||
} from './common.js';
|
||
|
||
export let CONFIG = {}; // Make CONFIG exportable
|
||
export let PROMPT_LOG_FILENAME = ''; // Make PROMPT_LOG_FILENAME exportable
|
||
|
||
/**
|
||
* Initializes the server configuration from config.json and command-line arguments.
|
||
* @param {string[]} args - Command-line arguments.
|
||
* @param {string} [configFilePath='config.json'] - Path to the configuration file.
|
||
* @returns {Object} The initialized configuration object.
|
||
*/
|
||
export function initializeConfig(args = process.argv.slice(2), configFilePath = 'config.json') {
|
||
let currentConfig = {};
|
||
|
||
try {
|
||
const configData = fs.readFileSync(configFilePath, 'utf8');
|
||
currentConfig = JSON.parse(configData);
|
||
console.log('[Config] Loaded configuration from config.json');
|
||
} catch (error) {
|
||
console.error('[Config Error] Failed to load config.json:', error.message);
|
||
// Fallback to default values if config.json is not found or invalid
|
||
currentConfig = {
|
||
REQUIRED_API_KEY: "123456",
|
||
SERVER_PORT: 3000,
|
||
HOST: 'localhost',
|
||
MODEL_PROVIDER: MODEL_PROVIDER.GEMINI_CLI,
|
||
OPENAI_API_KEY: null,
|
||
OPENAI_BASE_URL: null,
|
||
CLAUDE_API_KEY: null,
|
||
CLAUDE_BASE_URL: null,
|
||
GEMINI_OAUTH_CREDS_BASE64: null,
|
||
GEMINI_OAUTH_CREDS_FILE_PATH: null,
|
||
PROJECT_ID: null,
|
||
SYSTEM_PROMPT_FILE_PATH: INPUT_SYSTEM_PROMPT_FILE, // Default value
|
||
SYSTEM_PROMPT_MODE: 'overwrite',
|
||
PROMPT_LOG_BASE_NAME: "prompt_log",
|
||
PROMPT_LOG_MODE: "none",
|
||
REQUEST_MAX_RETRIES: 3,
|
||
REQUEST_BASE_DELAY: 1000
|
||
};
|
||
console.log('[Config] Using default configuration.');
|
||
}
|
||
|
||
// Parse command-line arguments
|
||
for (let i = 0; i < args.length; i++) {
|
||
if (args[i] === '--api-key') {
|
||
if (i + 1 < args.length) {
|
||
currentConfig.REQUIRED_API_KEY = args[i + 1];
|
||
i++;
|
||
} else {
|
||
console.warn(`[Config Warning] --api-key flag requires a value.`);
|
||
}
|
||
} else if (args[i] === '--log-prompts') {
|
||
if (i + 1 < args.length) {
|
||
const mode = args[i + 1];
|
||
if (mode === 'console' || mode === 'file') {
|
||
currentConfig.PROMPT_LOG_MODE = mode;
|
||
} else {
|
||
console.warn(`[Config Warning] Invalid mode for --log-prompts. Expected 'console' or 'file'. Prompt logging is disabled.`);
|
||
}
|
||
i++;
|
||
} else {
|
||
console.warn(`[Config Warning] --log-prompts flag requires a value.`);
|
||
}
|
||
} else if (args[i] === '--port') {
|
||
if (i + 1 < args.length) {
|
||
currentConfig.SERVER_PORT = parseInt(args[i + 1], 10);
|
||
i++;
|
||
} else {
|
||
console.warn(`[Config Warning] --port flag requires a value.`);
|
||
}
|
||
} else if (args[i] === '--model-provider') {
|
||
if (i + 1 < args.length) {
|
||
currentConfig.MODEL_PROVIDER = args[i + 1];
|
||
i++;
|
||
} else {
|
||
console.warn(`[Config Warning] --model-provider flag requires a value.`);
|
||
}
|
||
} else if (args[i] === '--openai-api-key') {
|
||
if (i + 1 < args.length) {
|
||
currentConfig.OPENAI_API_KEY = args[i + 1];
|
||
i++;
|
||
} else {
|
||
console.warn(`[Config Warning] --openai-api-key flag requires a value.`);
|
||
}
|
||
} else if (args[i] === '--openai-base-url') {
|
||
if (i + 1 < args.length) {
|
||
currentConfig.OPENAI_BASE_URL = args[i + 1];
|
||
i++;
|
||
} else {
|
||
console.warn(`[Config Warning] --openai-base-url flag requires a value.`);
|
||
}
|
||
} else if (args[i] === '--claude-api-key') {
|
||
if (i + 1 < args.length) {
|
||
currentConfig.CLAUDE_API_KEY = args[i + 1];
|
||
i++;
|
||
} else {
|
||
console.warn(`[Config Warning] --claude-api-key flag requires a value.`);
|
||
}
|
||
} else if (args[i] === '--claude-base-url') {
|
||
if (i + 1 < args.length) {
|
||
currentConfig.CLAUDE_BASE_URL = args[i + 1];
|
||
i++;
|
||
} else {
|
||
console.warn(`[Config Warning] --claude-base-url flag requires a value.`);
|
||
}
|
||
}
|
||
// Gemini-specific arguments
|
||
else if (args[i] === '--gemini-oauth-creds-base64') {
|
||
if (i + 1 < args.length) {
|
||
currentConfig.GEMINI_OAUTH_CREDS_BASE64 = args[i + 1];
|
||
i++;
|
||
} else {
|
||
console.warn(`[Config Warning] --gemini-oauth-creds-base64 flag requires a value.`);
|
||
}
|
||
} else if (args[i] === '--gemini-oauth-creds-file') {
|
||
if (i + 1 < args.length) {
|
||
currentConfig.GEMINI_OAUTH_CREDS_FILE_PATH = args[i + 1];
|
||
i++;
|
||
} else {
|
||
console.warn(`[Config Warning] --gemini-oauth-creds-file flag requires a value.`);
|
||
}
|
||
} else if (args[i] === '--project-id') {
|
||
if (i + 1 < args.length) {
|
||
currentConfig.PROJECT_ID = args[i + 1];
|
||
i++;
|
||
} else {
|
||
console.warn(`[Config Warning] --project-id flag requires a value.`);
|
||
}
|
||
} else if (args[i] === '--system-prompt-file') {
|
||
if (i + 1 < args.length) {
|
||
currentConfig.SYSTEM_PROMPT_FILE_PATH = args[i + 1];
|
||
i++;
|
||
} else {
|
||
console.warn(`[Config Warning] --system-prompt-file flag requires a value.`);
|
||
}
|
||
} else if (args[i] === '--system-prompt-mode') {
|
||
if (i + 1 < args.length) {
|
||
const mode = args[i + 1];
|
||
if (mode === 'overwrite' || mode === 'append') {
|
||
currentConfig.SYSTEM_PROMPT_MODE = mode;
|
||
} else {
|
||
console.warn(`[Config Warning] Invalid mode for --system-prompt-mode. Expected 'overwrite' or 'append'. Using default 'overwrite'.`);
|
||
}
|
||
i++;
|
||
} else {
|
||
console.warn(`[Config Warning] --system-prompt-mode flag requires a value.`);
|
||
}
|
||
} else if (args[i] === '--host') {
|
||
if (i + 1 < args.length) {
|
||
currentConfig.HOST = args[i + 1];
|
||
i++;
|
||
} else {
|
||
console.warn(`[Config Warning] --host flag requires a value.`);
|
||
}
|
||
} else if (args[i] === '--prompt-log-base-name') {
|
||
if (i + 1 < args.length) {
|
||
currentConfig.PROMPT_LOG_BASE_NAME = args[i + 1];
|
||
i++;
|
||
} else {
|
||
console.warn(`[Config Warning] --prompt-log-base-name flag requires a value.`);
|
||
}
|
||
}
|
||
}
|
||
|
||
if (!currentConfig.SYSTEM_PROMPT_FILE_PATH) {
|
||
currentConfig.SYSTEM_PROMPT_FILE_PATH = INPUT_SYSTEM_PROMPT_FILE;
|
||
}
|
||
|
||
// Set PROMPT_LOG_FILENAME based on the determined config
|
||
if (currentConfig.PROMPT_LOG_MODE === 'file') {
|
||
const now = new Date();
|
||
const pad = (num) => String(num).padStart(2, '0');
|
||
const timestamp = `${now.getFullYear()}${pad(now.getMonth() + 1)}${pad(now.getDate())}-${pad(now.getHours())}${pad(now.getMinutes())}${pad(now.getSeconds())}`;
|
||
PROMPT_LOG_FILENAME = `${currentConfig.PROMPT_LOG_BASE_NAME}-${timestamp}.log`;
|
||
} else {
|
||
PROMPT_LOG_FILENAME = ''; // Clear if not logging to file
|
||
}
|
||
|
||
// Assign to the exported CONFIG
|
||
Object.assign(CONFIG, currentConfig);
|
||
return CONFIG;
|
||
}
|
||
|
||
export async function initApiService(config) { // Make getApiService exportable and accept config
|
||
// Initialize all known service adapters at startup
|
||
const providers = [
|
||
MODEL_PROVIDER.OPENAI_CUSTOM,
|
||
MODEL_PROVIDER.GEMINI_CLI,
|
||
MODEL_PROVIDER.CLAUDE_CUSTOM,
|
||
MODEL_PROVIDER.KIRO_API
|
||
];
|
||
for (const provider of providers) {
|
||
try {
|
||
getServiceAdapter({ ...config, MODEL_PROVIDER: provider });
|
||
} catch (error) {
|
||
console.warn(`[Initialization Warning] Failed to initialize service adapter for ${provider}: ${error.message}`);
|
||
}
|
||
}
|
||
}
|
||
|
||
export async function getApiService(config) {
|
||
return getServiceAdapter(config);
|
||
}
|
||
|
||
/**
|
||
* Main request handler. It authenticates the request, determines the endpoint type,
|
||
* and delegates to the appropriate specialized handler function.
|
||
* @param {http.IncomingMessage} req The HTTP request object.
|
||
* @param {http.ServerResponse} res The HTTP response object.
|
||
* @param {Object} currentConfig The current configuration object.
|
||
* @param {string} currentPromptLogFilename The current prompt log filename.
|
||
* @param {Object} apiService The initialized API service instance.
|
||
*/
|
||
export function createRequestHandler(config) {
|
||
return async function requestHandler(req, res) {
|
||
// Deep copy the config for each request to allow dynamic modification
|
||
const currentConfig = deepmerge({}, config);
|
||
|
||
console.log(`\n${new Date().toLocaleString()}`);
|
||
console.log(`[Server] Received request: ${req.method} http://${req.headers.host}${req.url}`);
|
||
|
||
// Allow overriding MODEL_PROVIDER via request header
|
||
const modelProviderHeader = req.headers['model-provider'];
|
||
if (modelProviderHeader) {
|
||
currentConfig.MODEL_PROVIDER = modelProviderHeader;
|
||
console.log(`[Config] MODEL_PROVIDER overridden by header to: ${currentConfig.MODEL_PROVIDER}`);
|
||
delete req.headers['model-provider'];
|
||
}
|
||
|
||
const apiService = await getApiService(currentConfig);
|
||
const requestUrl = new URL(req.url, `http://${req.headers.host}`);
|
||
const path = requestUrl.pathname;
|
||
const method = req.method;
|
||
|
||
if (method === 'OPTIONS') {
|
||
res.writeHead(200, { 'Content-Type': 'application/json' });
|
||
console.log("OPTIONS REQUEST SUCCESS");
|
||
return res.end("OPTIONS REQUEST SUCCESS");
|
||
}
|
||
|
||
// Health check endpoint - no authentication required
|
||
if (method === 'GET' && path === '/health') {
|
||
res.writeHead(200, { 'Content-Type': 'application/json' });
|
||
return res.end(JSON.stringify({
|
||
status: 'healthy',
|
||
timestamp: new Date().toISOString(),
|
||
provider: currentConfig.MODEL_PROVIDER
|
||
}));
|
||
}
|
||
|
||
if (!isAuthorized(req, requestUrl, currentConfig.REQUIRED_API_KEY)) {
|
||
res.writeHead(401, { 'Content-Type': 'application/json' });
|
||
return res.end(JSON.stringify({ error: { message: 'Unauthorized: API key is invalid or missing.' } }));
|
||
}
|
||
|
||
try {
|
||
// Route model list requests
|
||
if (method === 'GET') {
|
||
if (path === '/v1/models') {
|
||
return await handleModelListRequest(req, res, apiService, ENDPOINT_TYPE.OPENAI_MODEL_LIST, currentConfig);
|
||
}
|
||
if (path === '/v1beta/models') {
|
||
return await handleModelListRequest(req, res, apiService, ENDPOINT_TYPE.GEMINI_MODEL_LIST, currentConfig);
|
||
}
|
||
}
|
||
|
||
// Route content generation requests
|
||
if (method === 'POST') {
|
||
if (path === '/v1/chat/completions') {
|
||
return await handleContentGenerationRequest(req, res, apiService, ENDPOINT_TYPE.OPENAI_CHAT, currentConfig, PROMPT_LOG_FILENAME);
|
||
}
|
||
const geminiUrlPattern = new RegExp(`/v1beta/models/(.+?):(${API_ACTIONS.GENERATE_CONTENT}|${API_ACTIONS.STREAM_GENERATE_CONTENT})`);
|
||
if (geminiUrlPattern.test(path)) {
|
||
return await handleContentGenerationRequest(req, res, apiService, ENDPOINT_TYPE.GEMINI_CONTENT, currentConfig, PROMPT_LOG_FILENAME);
|
||
}
|
||
if (path === '/v1/messages') {
|
||
return await handleContentGenerationRequest(req, res, apiService, ENDPOINT_TYPE.CLAUDE_MESSAGE, currentConfig, PROMPT_LOG_FILENAME);
|
||
}
|
||
}
|
||
|
||
// Fallback for unmatched routes
|
||
res.writeHead(404, { 'Content-Type': 'application/json' });
|
||
res.end(JSON.stringify({ error: { message: 'Not Found' } }));
|
||
|
||
} catch (error) {
|
||
handleError(res, error);
|
||
}
|
||
};
|
||
}
|
||
|
||
// --- Server Initialization ---
|
||
export async function startServer() {
|
||
initializeConfig(); // Initialize CONFIG globally
|
||
await initApiService(CONFIG); // Get service instance with the initialized CONFIG
|
||
const requestHandlerInstance = createRequestHandler(CONFIG); // Create request handler with CONFIG and service
|
||
|
||
const server = http.createServer(requestHandlerInstance);
|
||
|
||
server.listen(CONFIG.SERVER_PORT, CONFIG.HOST, () => {
|
||
console.log(`--- Unified API Server Configuration ---`);
|
||
console.log(` Model Provider: ${CONFIG.MODEL_PROVIDER}`);
|
||
if (CONFIG.MODEL_PROVIDER === MODEL_PROVIDER.OPENAI_CUSTOM) {
|
||
console.log(` OpenAI API Key: ${CONFIG.OPENAI_API_KEY ? '******' : 'Not Set'}`);
|
||
console.log(` OpenAI Base URL: ${CONFIG.OPENAI_BASE_URL}`);
|
||
} else if (CONFIG.MODEL_PROVIDER === MODEL_PROVIDER.CLAUDE_CUSTOM) {
|
||
console.log(` Claude API Key: ${CONFIG.CLAUDE_API_KEY ? '******' : 'Not Set'}`);
|
||
console.log(` Claude Base URL: ${CONFIG.CLAUDE_BASE_URL}`);
|
||
} else if (CONFIG.MODEL_PROVIDER === MODEL_PROVIDER.GEMINI_CLI) {
|
||
console.log(` OAuth Creds File Path: ${CONFIG.GEMINI_OAUTH_CREDS_FILE_PATH || 'Default'}`);
|
||
console.log(` Project ID: ${CONFIG.PROJECT_ID || 'Auto-discovered'}`);
|
||
console.log(` System Prompt File: ${CONFIG.SYSTEM_PROMPT_FILE_PATH || 'Default'}`);
|
||
console.log(` System Prompt Mode: ${CONFIG.SYSTEM_PROMPT_MODE}`);
|
||
}
|
||
console.log(` Host: ${CONFIG.HOST}`);
|
||
console.log(` Port: ${CONFIG.SERVER_PORT}`);
|
||
console.log(` Required API Key: ${CONFIG.REQUIRED_API_KEY}`);
|
||
console.log(` Prompt Logging: ${CONFIG.PROMPT_LOG_MODE}${PROMPT_LOG_FILENAME ? ` (to ${PROMPT_LOG_FILENAME})` : ''}`);
|
||
console.log(`------------------------------------------`);
|
||
console.log(`\nUnified API Server running on http://${CONFIG.HOST}:${CONFIG.SERVER_PORT}`);
|
||
console.log(`Supports multiple API formats:`);
|
||
console.log(` • OpenAI-compatible: /v1/chat/completions, /v1/models`);
|
||
console.log(` • Gemini-compatible: /v1beta/models, /v1beta/models/{model}:generateContent`);
|
||
console.log(` • Claude-compatible: /v1/messages`);
|
||
console.log(` • Health check: /health`);
|
||
console.log('Initializing backend service... This may take a moment.');
|
||
});
|
||
return server; // Return the server instance for testing purposes
|
||
}
|
||
|
||
|
||
startServer().catch(err => {
|
||
console.error("[Server] Failed to start server:", err.message);
|
||
process.exit(1);
|
||
});
|