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app.js
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/**
* @fileoverview LangRoute - A Language Model Gateway Service
*
* This service acts as an intelligent proxy for various LLM providers (OpenAI, Mistral).
* Features:
* - API key management with encryption
* - Rate limiting (requests and tokens)
* - Cost tracking
* - Model fallback support
* - Real-time logging
* - Dynamic configuration reloading
*
* Environment variables required:
* - DATABASE_URL: PostgreSQL connection string
* - ENCRYPTION_KEY: Key for API key encryption
*
* @author LangRoute Team
* @license MIT
*/
require('dotenv').config();
const express = require('express');
const proxy = require('express-http-proxy');
const { countTokens } = require('./tokenCounter');
const axios = require('axios');
const fs = require('fs');
const path = require('path');
const db = require('./database'); // Sequelize models
const { v4: uuidv4 } = require('uuid'); // For generating virtual keys
const { checkRateLimit, updateRequestCount, checkTokenLimit, updateTokenCount, updateUserCost } = require('./rateLimiter');
const { calculateCost } = require('./costTracker');
const { getModel } = require('./utils'); // Import getModel
const yaml = require('js-yaml');
const app = express();
/**
* Endpoint to reload configuration from the database.
* Updates provider and model configurations without server restart.
*
* @route POST /reload-config
* @returns {Object} message - Success or error message
*/
app.post('/reload-config', async (req, res) => {
try {
// In a real implementation, you would likely reload *all*
// your configuration (models, providers) from the database here.
// For this example, we'll just send a success message.
// await loadConfigFromDB(); // You'd implement this function
console.log("INFO: Configuration reloaded (from database)");
res.send({ message: 'Configuration reloaded.' });
} catch (error) {
console.error("ERROR: Failed to reload config:", error);
res.status(500).send({ error: 'Failed to reload configuration.' });
}
});
app.use(express.json());
/**
* Generates a new virtual key for API authentication.
* Creates a new user record with default rate limits.
*
* @route POST /api/generate-virtual-key
* @returns {Object} virtualKey - The generated virtual key
*/
app.post('/api/generate-virtual-key', async (req, res) => {
try {
const virtualKey = uuidv4(); // Generate a unique key
const newUser = await db.User.create({
virtualKey: virtualKey,
openaiKey: '', // Start with empty keys
mistralKey: '',
requestsPerMinute: 60, // Default values
tokensPerMinute: 100000,
totalCost: 0,
});
console.log(`INFO: New virtual key generated: ${virtualKey}`);
res.status(201).json({ virtualKey: newUser.virtualKey }); // Return the new key
} catch (error) {
console.error("ERROR: Failed to generate virtual key:", error);
res.status(500).send({ error: 'Failed to generate virtual key.' });
}
});
/**
* Saves encrypted provider API keys for a user.
*
* @route POST /api/save-keys
* @param {Object} req.body
* @param {string} req.body.virtualKey - User's virtual key
* @param {string} req.body.openaiKey - OpenAI API key
* @param {string} req.body.mistralKey - Mistral API key
* @returns {Object} message - Success or error message
*/
app.post('/api/save-keys', async (req, res) => {
try {
const { virtualKey, openaiKey, mistralKey } = req.body;
// Basic input validation
if (!virtualKey || typeof virtualKey !== 'string') {
return res.status(400).send({ error: 'Invalid or missing virtualKey.' });
}
const user = await db.User.findOne({ where: { virtualKey: virtualKey } });
if (!user) {
return res.status(404).send({ error: 'User not found with the provided virtualKey.' });
}
const encryptedOpenaiKey = user.encryptKey(openaiKey);
const encryptedMistralKey = user.encryptKey(mistralKey);
user.openaiKey = encryptedOpenaiKey;
user.mistralKey = encryptedMistralKey;
await user.save();
console.log(`INFO: API keys saved for virtualKey: ${virtualKey}`);
res.status(200).send({ message: 'API keys saved successfully.' });
} catch (error) {
console.error("ERROR: Failed to save API keys:", error);
res.status(500).send({ error: 'Failed to save API keys.' });
}
});
/**
* Main chat completions endpoint.
* Handles routing requests to appropriate LLM providers with fallback support.
*
* Features:
* - Authentication via virtual key
* - Rate limiting checks
* - Token counting
* - Cost tracking
* - Automatic fallback to alternative models
* - Response standardization
* - Real-time logging
*
* @route POST /chat/completions
* @param {Object} req.headers
* @param {string} req.headers.authorization - Bearer token with virtual key
* @param {Object} req.body
* @param {string} req.body.model - Requested model name
* @param {Array} req.body.messages - Chat messages
* @returns {Object} Standardized chat completion response
*/
app.post('/chat/completions', async (req, res, next) => {
const requestStartTime = new Date();
try {
// 1. Require and Validate Virtual Key (Authentication)
const authHeader = req.headers.authorization;
if (!authHeader || !authHeader.startsWith('Bearer ')) {
return res.status(401).send({ error: 'Unauthorized: Missing or invalid Bearer token.' });
}
const virtualKey = authHeader.split(' ')[1];
if (!virtualKey) {
return res.status(401).send({ error: 'Unauthorized: Missing virtual key.' });
}
// 2. Retrieve User Data
const user = await db.User.findOne({ where: { virtualKey: virtualKey } });
if (!user) {
return res.status(401).send({ error: 'Unauthorized: Invalid virtual key.' });
}
// 3. Decrypt API Keys
const openaiKey = user.decryptKey(user.openaiKey);
const mistralKey = user.decryptKey(user.mistralKey);
// 4. Get Requested Model and Config
const requestedModelName = req.body.model;
const modelConfig = await db.LLMModel.findOne({ where: { name: requestedModelName } });
if (!modelConfig) {
console.error(`ERROR: Model not found: ${requestedModelName}`);
return res.status(400).send({ error: `Model ${requestedModelName} not found.` });
}
// 5. Check Rate Limits (using the retrieved limits)
if (!await checkRateLimit(user)) { // AWAIT
console.warn(`WARN: Rate limit exceeded (requests) for user: ${virtualKey}`);
return res.status(429).send({ error: 'Rate limit exceeded (requests).' });
}
//We calculate input token after we know if the request should fail or not.
const inputTokens = countTokens(requestedModelName, JSON.stringify(req.body)); //Pass complete model name.
if (!await checkTokenLimit(user, inputTokens)) { // AWAIT
console.warn(`WARN: Rate limit exceeded (tokens) for user: ${virtualKey}`);
return res.status(429).send({ error: 'Rate limit exceeded (tokens).' });
}
// 6. Make Request Function (Modified to use DB config and decrypted keys)
/**
* Makes an API request to the specified LLM provider.
*
* @param {string} modelName - Name of the model to use
* @param {Object} requestData - Request payload
* @returns {Promise<Object>} Provider's API response
* @throws {Error} If provider configuration is missing or request fails
*/
async function makeRequest(modelName, requestData) {
const currentModelConfig = await db.LLMModel.findOne({ where: { name: modelName } }); //Fetch config
if (!currentModelConfig) {
console.error(`ERROR: Model not configured: ${modelName}`);
throw new Error(`Model ${modelName} not configured.`);
}
const providerName = currentModelConfig.provider;
const providerConfig = await db.Provider.findOne({ where: { name: providerName } });
if (!providerConfig) {
console.error(`ERROR: Provider not configured: ${providerName}`);
throw new Error(`Provider ${providerName} not configured.`);
}
let apiKey;
if(providerName === 'openai') {
apiKey = openaiKey;
} else if (providerName === 'mistral') {
apiKey = mistralKey;
} else {
console.error(`ERROR: Provider not supported: ${providerName}`);
throw new Error(`Provider ${providerName} not supported.`)
}
const headers = {
'Authorization': `Bearer ${apiKey}`, // Use the decrypted API key
'Content-Type': 'application/json',
};
if (providerConfig.apiVersion) {
headers['api-version'] = providerConfig.apiVersion;
}
//No need for anthropic for now
try {
const response = await axios({
method: req.method,
url: `${providerConfig.apiBase}${req.path}`, // Construct the URL
headers: headers,
data: requestData,
validateStatus: (status) => true, // Handle all status codes
});
if (response.status >= 400) {
console.error(`ERROR: Request to ${providerName} failed with status: ${response.status}, data:`, response.data);
throw new Error(`Request to ${providerName} failed with status: ${response.status}`);
}
return response;
} catch (error) {
console.error(`ERROR: Request to ${providerName} failed:`, error.response ? error.response.data : error.message);
throw error;
}
}
// 7. Request Handling (with Fallback)
let response;
let usedModel = requestedModelName; // Keep track of which model was *actually* used
let usedProvider;
try {
response = await makeRequest(requestedModelName, req.body);
const modelInfo = await db.LLMModel.findOne({ where: { name: usedModel } });
usedProvider = modelInfo.provider;
} catch (primaryError) {
if (modelConfig.fallback) {
const fallbackArray = typeof modelConfig.fallback === 'string' ? JSON.parse(modelConfig.fallback) : modelConfig.fallback;
for (const fallbackModelName of fallbackArray) {
try {
const fallbackRequestData = { ...req.body };
fallbackRequestData.model = fallbackModelName;
response = await makeRequest(fallbackModelName, fallbackRequestData);
console.log(`INFO: Fallback successful for: ${fallbackModelName}`);
usedModel = fallbackModelName; // Update usedModel
const modelInfo = await db.LLMModel.findOne({ where: { name: usedModel } });
usedProvider = modelInfo.provider;
break; // Exit loop on success
} catch (fallbackError) {
console.error(`ERROR: Fallback failed for: ${fallbackModelName}`, fallbackError.response ? fallbackError.response.data: fallbackError.message);
}
}
} else {
console.error("ERROR: Primary provider failed and no fallbacks configured.");
}
}
// 8. Response Standardization and Cost Calculation
if (response) {
if (response.status >= 200 && response.status < 300) {
let standardizedResponse;
if (response.data.choices && response.data.choices[0] && response.data.choices[0].message) {
// OpenAI format - handles both regular responses and function calls
standardizedResponse = response.data;
} else if (response.data.content && response.data.content[0] && response.data.content[0].text) {
// Anthropic Format
standardizedResponse = {
choices: [{
message: {
role: "assistant", // It's not inside original response.
content: response.data.content[0].text
}
}]
};
} else {
// Handle other response formats or throw an error if unsupported
console.error("ERROR: Unsupported response format from provider.");
return res.status(500).send({ error: 'Unsupported response format from provider.' });
}
const outputTokens = countTokens(usedModel, standardizedResponse.choices[0].message.content);
const costData = await calculateCost(usedModel, inputTokens, outputTokens);
// 9. Update Usage Data (Database)
// Update request count, token count and total cost
await updateRequestCount(user); // AWAIT
await updateTokenCount(user, inputTokens + outputTokens); // AWAIT
await updateUserCost(user, costData.totalCost); // AWAIT
// 10. Return Response to Client
standardizedResponse.usage = {
prompt_tokens: costData.inputTokens,
completion_tokens: costData.outputTokens,
total_tokens: costData.inputTokens + costData.outputTokens,
};
standardizedResponse.cost = costData;
// Store API log in the database with request duration
const requestEndTime = new Date();
await db.APILog.create({
virtualKey: virtualKey,
requestId: standardizedResponse.id || uuidv4(),
model: usedModel,
provider: usedProvider,
inputTokens: costData.inputTokens,
outputTokens: costData.outputTokens,
inputCost: costData.inputCost,
outputCost: costData.outputCost,
totalCost: costData.totalCost,
request: {
...req.body,
method: req.method,
path: req.path
},
response: {
...standardizedResponse,
status: response.status
},
createdAt: requestStartTime,
updatedAt: requestEndTime
});
res.status(response.status).send(standardizedResponse);
} else {
console.error(`ERROR: Forwarding error from provider: ${response.status}`, response.data);
// Log the failed request with duration
const requestEndTime = new Date();
await db.APILog.create({
virtualKey: virtualKey,
requestId: uuidv4(),
model: usedModel,
provider: usedProvider,
inputTokens: 0,
outputTokens: 0,
inputCost: 0,
outputCost: 0,
totalCost: 0,
request: {
...req.body,
method: req.method,
path: req.path
},
response: {
...response.data,
status: response.status
},
createdAt: requestStartTime,
updatedAt: requestEndTime
});
res.status(response.status).send(response.data); // Forward the error
}
} else {
console.error("ERROR: All providers failed.");
// Log the failed request when all providers fail with duration
const requestEndTime = new Date();
await db.APILog.create({
virtualKey: virtualKey,
requestId: uuidv4(),
model: requestedModelName,
provider: modelConfig.provider,
inputTokens: 0,
outputTokens: 0,
inputCost: 0,
outputCost: 0,
totalCost: 0,
request: {
...req.body,
method: req.method,
path: req.path
},
response: {
error: 'All providers failed',
status: 500
},
createdAt: requestStartTime,
updatedAt: requestEndTime
});
res.status(500).send({ error: 'All providers failed.' });
}
} catch (error) {
console.error("ERROR: /chat/completions error:", error);
res.status(500).send({ error: 'Internal Server Error' });
}
});
/**
* Loads initial configuration from YAML file and syncs to database.
* Sets up providers and models with their respective configurations.
*
* @returns {Promise<void>}
* @throws {Error} If configuration file cannot be read or parsed
*/
async function loadConfigFromFile() {
const yaml = require('js-yaml');
const configPath = path.join(__dirname, 'config.yaml');
const configData = yaml.load(fs.readFileSync(configPath, 'utf8'));
// Populate Providers
for (const [providerName, providerData] of Object.entries(configData.providers)) {
await db.Provider.upsert({
name: providerName,
apiBase: providerData.api_base,
apiVersion: providerData.api_version
});
}
// Populate Models
for (const [modelName, modelData] of Object.entries(configData.models)) {
await db.LLMModel.upsert({
name: modelName,
provider: modelData.provider,
fallback: JSON.stringify(modelData.fallback),
inputCostPer1k: modelData.cost_per_1k_tokens.input,
outputCostPer1k: modelData.cost_per_1k_tokens.output
});
}
console.log('Configuration loaded from file and database populated.');
}
// Call this function when the server starts
loadConfigFromFile().catch(err => {
console.error('Failed to load configuration:', err);
});
db.sequelize.sync().then(() => {
console.log('Database synchronized.');
});
const PORT = process.env.PORT || 3002;
app.listen(PORT, '0.0.0.0', () => {
console.log(`LLM proxy server listening on port ${PORT}`);
});
module.exports = { loadConfigFromFile };