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// app.js | |
const express = require('express'); | |
const fetch = require('node-fetch'); | |
const app = express(); | |
const PORT = process.env.PORT || 7860; | |
// Julep API Base URL (fixed) | |
const JULEP_API_BASE = "https://api.julep.ai/api"; | |
// Hardcoded list of models (Agent IDs in this context) | |
const HARDCODED_MODELS = [ | |
'mistral-large-2411', 'o1', 'text-embedding-3-large', 'vertex_ai/text-embedding-004', | |
'claude-3.5-haiku', 'cerebras/llama-4-scout-17b-16e-instruct', 'llama-3.1-8b', | |
'magnum-v4-72b', 'voyage-multilingual-2', 'claude-3-haiku', 'gpt-4o', | |
'BAAI/bge-m3', 'openrouter/meta-llama/llama-4-maverick', 'openrouter/meta-llama/llama-4-scout', | |
'claude-3.5-sonnet', 'hermes-3-llama-3.1-70b', 'claude-3.5-sonnet-20240620', | |
'qwen-2.5-72b-instruct', 'l3.3-euryale-70b', 'gpt-4o-mini', 'cerebras/llama-3.3-70b', | |
'o1-preview', 'gemini-1.5-pro-latest', 'l3.1-euryale-70b', 'claude-3-sonnet', | |
'Alibaba-NLP/gte-large-en-v1.5', 'openrouter/meta-llama/llama-4-scout:free', | |
'llama-3.1-70b', 'eva-qwen-2.5-72b', 'claude-3.5-sonnet-20241022', 'gemini-2.0-flash', | |
'deepseek-chat', 'o1-mini', 'eva-llama-3.33-70b', 'gemini-2.5-pro-preview-03-25', | |
'gemini-1.5-pro', 'gpt-4-turbo', 'openrouter/meta-llama/llama-4-maverick:free', | |
'o3-mini', 'claude-3.7-sonnet', 'voyage-3', 'cerebras/llama-3.1-8b', 'claude-3-opus' | |
]; | |
// --- Helper Functions --- | |
// Define acceptable log levels | |
const LogLevels = { | |
DEBUG: 'debug', | |
INFO: 'info', | |
WARN: 'warn', | |
ERROR: 'error', | |
TRACE: 'trace' | |
}; | |
function log(level, message, data = null) { | |
// Basic check if the console object has the method | |
if (typeof console[level] === 'function') { | |
console[level](`[${level.toUpperCase()}] ${new Date().toISOString()} - ${message}${data ? ':' : ''}`, data !== null ? JSON.stringify(data, null, 2) : ''); | |
} else { | |
// Fallback for potentially missing methods like 'trace' in some environments | |
console.log(`[${level.toUpperCase()}] ${new Date().toISOString()} - ${message}${data ? ':' : ''}`, data !== null ? JSON.stringify(data, null, 2) : ''); | |
} | |
} | |
function getJulepApiKey(req) { | |
const authHeader = req.headers.authorization; | |
if (authHeader && authHeader.startsWith("Bearer ")) { | |
log(LogLevels.DEBUG, 'Extracted Julep API Key successfully.'); | |
return authHeader.substring(7); | |
} | |
log(LogLevels.WARN, 'Could not extract Julep API Key from Authorization header.'); | |
return null; | |
} | |
// Helper for small delays | |
function sleep(ms) { | |
return new Promise(resolve => setTimeout(resolve, ms)); | |
} | |
// Note: Using fire-and-forget for background tasks | |
async function cleanupJulepResources(agentId, sessionId, headers) { | |
log(LogLevels.INFO, 'Attempting Julep resource cleanup.', { agentId, sessionId }); | |
const cleanupPromises = []; | |
// Define cleanup logic as separate async functions for clarity | |
const deleteResource = async (url, type, id) => { | |
try { | |
log(LogLevels.DEBUG, `Sending DELETE request for ${type} ${id} to: ${url}`); | |
const response = await fetch(url, { method: "DELETE", headers }); | |
const responseText = await response.text(); // Get text regardless of status | |
if (!response.ok) { | |
log(LogLevels.WARN, `Cleanup failed for ${type} ${id}: ${response.status} ${response.statusText}`, { body: responseText }); | |
} else { | |
log(LogLevels.INFO, `Cleanup successful for ${type} ${id}.`, { status: response.status, body: responseText }); | |
} | |
} catch (err) { | |
log(LogLevels.ERROR, `Cleanup error during fetch for ${type} ${id}: ${err instanceof Error ? err.message : String(err)}`, { error: err }); | |
} | |
}; | |
if (sessionId) { | |
const sessionDeleteUrl = `${JULEP_API_BASE}/sessions/${sessionId}`; | |
cleanupPromises.push(deleteResource(sessionDeleteUrl, 'session', sessionId)); | |
} | |
if (agentId) { | |
const agentDeleteUrl = `${JULEP_API_BASE}/agents/${agentId}`; | |
// Add a small delay before deleting the agent, sometimes helps if session deletion is slow | |
await sleep(100); | |
cleanupPromises.push(deleteResource(agentDeleteUrl, 'agent', agentId)); | |
} | |
if (cleanupPromises.length > 0) { | |
log(LogLevels.DEBUG, `Waiting for ${cleanupPromises.length} cleanup promises.`); | |
// Run cleanup in background | |
Promise.allSettled(cleanupPromises) | |
.then(results => { | |
log(LogLevels.INFO, 'Cleanup promises settled.', { results }); | |
}) | |
.catch(error => { | |
log(LogLevels.ERROR, 'Unexpected error during Promise.allSettled for cleanup.', { error }); | |
}); | |
} else { | |
log(LogLevels.INFO, 'No Julep resources to clean up.'); | |
} | |
} | |
// Helper to format Julep ToolCall delta to OpenAI format | |
function toolCallDeltaToOpenAI(julepToolCalls) { | |
if (!julepToolCalls) return undefined; | |
return julepToolCalls.map((toolCall, index) => ({ | |
index: toolCall.index ?? index, | |
id: toolCall.id, | |
type: "function", | |
function: { | |
name: toolCall.function?.name, | |
arguments: toolCall.function?.arguments, | |
}, | |
})); | |
} | |
// Helper to format Julep ToolCall message to OpenAI format | |
function toolCallMessageToOpenAI(julepToolCalls) { | |
if (!julepToolCalls) return undefined; | |
return julepToolCalls.map(toolCall => ({ | |
id: toolCall.id, | |
type: "function", | |
function: { | |
name: toolCall.function?.name, | |
arguments: toolCall.function?.arguments, | |
}, | |
})); | |
} | |
// Helper function to simulate streaming from a complete response | |
async function simulateStream(julepChatData, requestedModel, res) { | |
log(LogLevels.INFO, 'Starting stream simulation.'); | |
try { | |
const baseChunk = { | |
id: julepChatData.id || `chatcmpl-sim-${Date.now()}`, | |
object: "chat.completion.chunk", | |
created: Math.floor(new Date(julepChatData.created_at || Date.now()).getTime() / 1000), | |
model: requestedModel, | |
system_fingerprint: julepChatData.system_fingerprint || null, | |
}; | |
for (const [index, choice] of julepChatData.choices.entries()) { | |
log(LogLevels.DEBUG, `Simulating stream for choice index ${index}.`); | |
const role = choice.message?.role; | |
const content = choice.message?.content; | |
const toolCallsInput = choice.message?.tool_calls; | |
const toolCallsDelta = toolCallsInput ? toolCallDeltaToOpenAI(toolCallsInput) : undefined; // Format as delta | |
const finishReason = choice.finish_reason; | |
// 1. Send role chunk | |
if (role) { | |
const roleChunk = { ...baseChunk, choices: [{ index: index, delta: { role: role }, finish_reason: null }] }; | |
log(LogLevels.DEBUG, 'Sending role chunk:', roleChunk); | |
res.write(`data: ${JSON.stringify(roleChunk)}\n\n`); | |
await sleep(5); | |
} | |
// 2. Send tool calls chunk(s) if they exist | |
if (toolCallsDelta && toolCallsDelta.length > 0) { | |
const toolCallDeltaChunk = { ...baseChunk, choices: [{ index: index, delta: { tool_calls: toolCallsDelta }, finish_reason: null }] }; | |
log(LogLevels.DEBUG, 'Sending tool_calls chunk:', toolCallDeltaChunk); | |
res.write(`data: ${JSON.stringify(toolCallDeltaChunk)}\n\n`); | |
await sleep(5); | |
} | |
// 3. Stream content | |
if (content && typeof content === 'string') { | |
log(LogLevels.DEBUG, `Streaming content for choice ${index} (length: ${content.length})`); | |
for (const char of content) { | |
const contentChunk = { ...baseChunk, choices: [{ index: index, delta: { content: char }, finish_reason: null }] }; | |
res.write(`data: ${JSON.stringify(contentChunk)}\n\n`); | |
await sleep(2); // Simulate typing delay | |
} | |
log(LogLevels.DEBUG, `Finished streaming content for choice ${index}`); | |
} else if (content) { | |
// Send non-string content as a single chunk (might be structured JSON etc.) | |
const contentChunk = { ...baseChunk, choices: [{ index: index, delta: { content: JSON.stringify(content) }, finish_reason: null }] }; | |
log(LogLevels.DEBUG, 'Sending non-string content chunk:', contentChunk); | |
res.write(`data: ${JSON.stringify(contentChunk)}\n\n`); | |
await sleep(5); | |
} | |
// 4. Send finish reason chunk | |
if (finishReason) { | |
const finishChunk = { ...baseChunk, choices: [{ index: index, delta: {}, finish_reason: finishReason }] }; | |
log(LogLevels.DEBUG, 'Sending finish reason chunk:', finishChunk); | |
res.write(`data: ${JSON.stringify(finishChunk)}\n\n`); | |
await sleep(5); | |
} | |
} | |
// 5. Send DONE marker | |
log(LogLevels.INFO, 'Sending [DONE] marker.'); | |
res.write('data: [DONE]\n\n'); | |
res.end(); | |
log(LogLevels.INFO, 'Stream simulation completed successfully.'); | |
} catch (error) { | |
log(LogLevels.ERROR, `Error during stream simulation: ${error instanceof Error ? error.message : String(error)}`, { error: error }); | |
// Try to end the response if possible | |
try { | |
if (!res.headersSent) { | |
res.status(500).json({ error: 'Stream simulation error' }); | |
} else { | |
res.end(); | |
} | |
} catch (endError) { | |
log(LogLevels.ERROR, 'Error ending response after stream error', { error: endError }); | |
} | |
} | |
} | |
// --- Middleware --- | |
app.use(express.json()); | |
// CORS middleware | |
app.use((req, res, next) => { | |
res.header('Access-Control-Allow-Origin', '*'); | |
res.header('Access-Control-Allow-Methods', 'GET, POST, OPTIONS'); | |
res.header('Access-Control-Allow-Headers', 'Authorization, Content-Type'); | |
if (req.method === 'OPTIONS') { | |
return res.status(204).end(); | |
} | |
next(); | |
}); | |
// --- Routes --- | |
app.get('/v1/models', async (req, res) => { | |
log(LogLevels.INFO, 'Handling /v1/models request.'); | |
const julepApiKey = getJulepApiKey(req); | |
if (!julepApiKey) { | |
log(LogLevels.WARN, 'Unauthorized /v1/models request (missing API key).'); | |
// Optionally allow models request without key, or enforce it | |
} | |
const now = Math.floor(Date.now() / 1000); | |
const openaiModels = HARDCODED_MODELS.map((modelId) => ({ | |
id: modelId, object: "model", created: now, owned_by: "julep", | |
permission: [{ id: `modelperm-${modelId}-${now}`, object: "model_permission", created: now, 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: modelId, parent: null, | |
})); | |
log(LogLevels.DEBUG, 'Returning hardcoded models list.'); | |
res.json({ data: openaiModels, object: "list" }); | |
}); | |
app.post('/v1/chat/completions', async (req, res) => { | |
log(LogLevels.INFO, 'Handling /v1/chat/completions request.'); | |
const julepApiKey = getJulepApiKey(req); | |
if (!julepApiKey) { | |
log(LogLevels.ERROR, 'Unauthorized chat completions request: Missing Julep API Key.'); | |
return res.status(401).send("Unauthorized: Missing or invalid Authorization header"); | |
} | |
// Define headers early, use this single object throughout | |
const headers = { | |
"Authorization": `Bearer ${julepApiKey}`, | |
"Content-Type": "application/json", | |
}; | |
log(LogLevels.DEBUG, 'Julep API request headers prepared (key omitted).', { "Content-Type": headers["Content-Type"] }); | |
let agentId = null; | |
let sessionId = null; | |
let requestBody = req.body; | |
try { | |
const { model, messages, stream, ...rest } = requestBody; | |
const clientRequestedStream = stream === true; | |
log(LogLevels.INFO, `Request details: model=${model}, clientRequestedStream=${clientRequestedStream}`); | |
// Validate essential parameters | |
if (!model || !messages || !Array.isArray(messages) || messages.length === 0) { | |
log(LogLevels.ERROR, 'Invalid request body: "model" and "messages" are required.', { model, messages }); | |
return res.status(400).send("Invalid request body. 'model' and 'messages' are required."); | |
} | |
if (!HARDCODED_MODELS.includes(model)) { | |
log(LogLevels.ERROR, `Invalid model requested: ${model}`); | |
return res.status(400).send(`Invalid model: ${model}. Please use one of the available models.`); | |
} | |
log(LogLevels.DEBUG, 'Request parameters validated.'); | |
// --- Agent and Session Creation --- | |
// 2. Create Agent | |
const createAgentUrl = `${JULEP_API_BASE}/agents`; | |
const createAgentBody = { | |
name: `temp-openai-${model}-${Date.now()}`, | |
model: model, | |
about: `Temporary agent for OpenAI model ${model}`, | |
}; | |
log(LogLevels.INFO, 'Attempting to create Julep Agent.', { url: createAgentUrl, body: createAgentBody }); | |
const createAgentResponse = await fetch(createAgentUrl, { | |
method: "POST", | |
headers, | |
body: JSON.stringify(createAgentBody) | |
}); | |
log(LogLevels.DEBUG, `Create Agent response status: ${createAgentResponse.status}`); | |
if (!createAgentResponse.ok) { | |
const errorStatus = createAgentResponse.status; | |
const errorStatusText = createAgentResponse.statusText; | |
let errorText = "[Could not read error body]"; | |
try { | |
errorText = await createAgentResponse.text(); | |
} catch (e) { | |
log(LogLevels.WARN, `Could not read error text from createAgentResponse: ${e instanceof Error ? e.message : String(e)}`); | |
} | |
log(LogLevels.ERROR, `Error creating Julep Agent: ${errorStatus} - ${errorText}`); | |
return res.status(errorStatus).send(`Error creating Julep Agent: ${errorStatusText} - ${errorText}`); | |
} | |
let agentData; | |
try { | |
const agentResponseText = await createAgentResponse.text(); | |
log(LogLevels.DEBUG, 'Create Agent raw response text:', agentResponseText); | |
agentData = JSON.parse(agentResponseText); | |
log(LogLevels.INFO, 'Julep Agent created successfully.', { agentData }); | |
agentId = agentData.id; | |
} catch (e) { | |
log(LogLevels.ERROR, `Failed to parse Julep Agent creation response JSON: ${e instanceof Error ? e.message : String(e)}`, { error: e }); | |
// Attempt cleanup (fire-and-forget) | |
cleanupJulepResources(agentId, sessionId, headers).catch(err => log(LogLevels.ERROR, 'Background cleanup failed after agent parse error', err)); | |
return res.status(500).send(`Internal Server Error: Failed to parse Julep Agent response. ${e instanceof Error ? e.message : String(e)}`); | |
} | |
// 3. Create Session | |
const createSessionUrl = `${JULEP_API_BASE}/sessions`; | |
const createSessionBody = { agent: agentId }; // Julep API uses agent | |
log(LogLevels.INFO, 'Attempting to create Julep Session.', { url: createSessionUrl, body: createSessionBody }); | |
const createSessionResponse = await fetch(createSessionUrl, { | |
method: "POST", | |
headers, | |
body: JSON.stringify(createSessionBody) | |
}); | |
log(LogLevels.DEBUG, `Create Session response status: ${createSessionResponse.status}`); | |
if (!createSessionResponse.ok) { | |
const errorStatus = createSessionResponse.status; | |
const errorStatusText = createSessionResponse.statusText; | |
let errorText = "[Could not read error body]"; | |
try { | |
errorText = await createSessionResponse.text(); | |
} catch (e) { | |
log(LogLevels.WARN, `Could not read error text from createSessionResponse: ${e instanceof Error ? e.message : String(e)}`); | |
} | |
log(LogLevels.ERROR, `Error creating Julep Session: ${errorStatus} - ${errorText}`); | |
// Cleanup the agent we just created (fire-and-forget) | |
cleanupJulepResources(agentId, null, headers).catch(err => log(LogLevels.ERROR, 'Background cleanup failed after session creation error', err)); | |
return res.status(errorStatus).send(`Error creating Julep Session: ${errorStatusText} - ${errorText}`); | |
} | |
let sessionData; | |
try { | |
const sessionResponseText = await createSessionResponse.text(); | |
log(LogLevels.DEBUG, 'Create Session raw response text:', sessionResponseText); | |
sessionData = JSON.parse(sessionResponseText); | |
log(LogLevels.INFO, 'Julep Session created successfully.', { sessionData }); | |
sessionId = sessionData.id; | |
} catch (e) { | |
log(LogLevels.ERROR, `Failed to parse Julep Session creation response JSON: ${e instanceof Error ? e.message : String(e)}`, { error: e }); | |
// Cleanup agent and session (fire-and-forget) | |
cleanupJulepResources(agentId, sessionId, headers).catch(err => log(LogLevels.ERROR, 'Background cleanup failed after session parse error', err)); | |
return res.status(500).send(`Internal Server Error: Failed to parse Julep Session response. ${e instanceof Error ? e.message : String(e)}`); | |
} | |
// --- Perform Chat Completion (ALWAYS non-streaming to Julep) --- | |
// 4. Send Chat Request to Julep | |
const chatUrl = `${JULEP_API_BASE}/sessions/${sessionId}/chat`; | |
const chatBodyToJulep = { | |
messages: messages.map((msg) => ({ | |
role: msg.role, | |
content: typeof msg.content === 'string' ? msg.content : JSON.stringify(msg.content), | |
// Include tool_calls if present in the input message (OpenAI format) | |
tool_calls: msg.tool_calls, // Assuming Julep accepts OpenAI tool call format here | |
tool_call_id: msg.tool_call_id // If it's a tool response message | |
})), | |
stream: false, // Force non-streaming | |
...rest, // Pass through other OpenAI parameters like temperature, top_p, etc. | |
}; | |
log(LogLevels.INFO, 'Sending Chat request to Julep (forced non-stream).', { url: chatUrl }); | |
log(LogLevels.DEBUG, 'Julep Chat Request Body:', chatBodyToJulep); | |
const chatResponse = await fetch(chatUrl, { | |
method: "POST", | |
headers, | |
body: JSON.stringify(chatBodyToJulep) | |
}); | |
log(LogLevels.DEBUG, `Julep Chat response status: ${chatResponse.status}`); | |
// --- Handle Julep Response --- | |
if (!chatResponse.ok) { | |
const errorStatus = chatResponse.status; | |
const errorStatusText = chatResponse.statusText; | |
let errorText = "[Could not read error body]"; | |
try { | |
errorText = await chatResponse.text(); | |
} catch (e) { | |
log(LogLevels.WARN, `Could not read error text from chatResponse: ${e instanceof Error ? e.message : String(e)}`); | |
} | |
log(LogLevels.ERROR, `Error during Julep Chat Completion: ${errorStatus} - ${errorText}`); | |
// Cleanup agent and session (fire-and-forget) | |
cleanupJulepResources(agentId, sessionId, headers).catch(err => log(LogLevels.ERROR, 'Background cleanup failed after chat error', err)); | |
return res.status(errorStatus).send(`Error during Julep Chat Completion: ${errorStatusText} - ${errorText}`); | |
} | |
// Julep request was successful, get the full JSON body | |
let julepChatData; | |
try { | |
const chatResponseText = await chatResponse.text(); | |
log(LogLevels.DEBUG, 'Julep Chat raw response text:', chatResponseText); | |
julepChatData = JSON.parse(chatResponseText); | |
log(LogLevels.INFO, 'Julep chat completion successful.', { responseId: julepChatData.id }) | |
log(LogLevels.DEBUG, 'Julep Chat response data:', julepChatData); | |
} catch (e) { | |
log(LogLevels.ERROR, `Failed to parse Julep Chat response JSON (status was OK): ${e instanceof Error ? e.message : String(e)}`, { error: e }); | |
// Cleanup agent and session (fire-and-forget) | |
cleanupJulepResources(agentId, sessionId, headers).catch(err => log(LogLevels.ERROR, 'Background cleanup failed after chat parse error', err)); | |
return res.status(500).send(`Internal Server Error: Failed to parse Julep Chat response. ${e instanceof Error ? e.message : String(e)}`); | |
} | |
// *** Trigger cleanup NOW (fire-and-forget), before returning the response/stream *** | |
log(LogLevels.INFO, 'Julep chat successful, queueing cleanup.'); | |
cleanupJulepResources(agentId, sessionId, headers).catch(err => log(LogLevels.ERROR, 'Background cleanup failed after successful chat', err)); | |
// --- Format and Return Response to Client --- | |
// Access the actual chat response data | |
const julepResponseData = julepChatData; | |
if (!julepResponseData || !julepResponseData.choices) { | |
log(LogLevels.ERROR, 'Julep response format unexpected. Missing "response" or "response.choices".', { julepChatData }); | |
return res.status(500).send('Internal Server Error: Unexpected format from Julep API.'); | |
} | |
if (clientRequestedStream) { | |
log(LogLevels.INFO, 'Client requested stream, starting simulation.'); | |
// Set headers for SSE | |
res.setHeader('Content-Type', 'text/event-stream'); | |
res.setHeader('Cache-Control', 'no-cache'); | |
res.setHeader('Connection', 'keep-alive'); | |
res.flushHeaders(); // Flush the headers to establish SSE with client | |
// Start simulation | |
simulateStream(julepResponseData, model, res) | |
.catch(streamErr => { | |
log(LogLevels.ERROR, 'Stream simulation task failed.', { error: streamErr }); | |
}); | |
} else { | |
log(LogLevels.INFO, 'Client requested non-streaming response.'); | |
// Format julepResponseData to OpenAI format | |
const openaiCompletion = { | |
id: julepResponseData.id || `chatcmpl-${Date.now()}`, | |
object: "chat.completion", | |
created: Math.floor(new Date(julepResponseData.created_at || Date.now()).getTime() / 1000), | |
model: model, // Use the originally requested model | |
choices: julepResponseData.choices.map((choice) => ({ | |
index: choice.index, | |
message: { | |
role: choice.message.role, | |
content: choice.message.content, | |
// Use toolCallMessageToOpenAI here for the completed message format | |
tool_calls: choice.message.tool_calls ? toolCallMessageToOpenAI(choice.message.tool_calls) : undefined | |
}, | |
finish_reason: choice.finish_reason | |
})), | |
usage: julepResponseData.usage ? { | |
prompt_tokens: julepResponseData.usage.prompt_tokens, | |
completion_tokens: julepResponseData.usage.completion_tokens, | |
total_tokens: julepResponseData.usage.total_tokens | |
} : undefined, | |
system_fingerprint: julepResponseData.system_fingerprint || null, | |
}; | |
log(LogLevels.DEBUG, 'Formatted non-streaming OpenAI response:', openaiCompletion); | |
log(LogLevels.INFO, 'Returning non-streaming JSON response to client.'); | |
res.json(openaiCompletion); | |
} | |
} catch (error) { | |
// Catch errors from initial parsing, validation, or unexpected issues within the try block | |
log(LogLevels.ERROR, `Error in handleChatCompletions (outer catch): ${error instanceof Error ? error.message : String(error)}`, { error: error, agentId, sessionId }); | |
// Use the headers defined at the start if available | |
// Attempt cleanup (fire-and-forget) | |
cleanupJulepResources(agentId, sessionId, headers).catch(err => log(LogLevels.ERROR, 'Background cleanup failed in outer catch block', err)); | |
res.status(500).send(`Internal Server Error: ${error instanceof Error ? error.message : String(error)}`); | |
} | |
}); | |
// Health check endpoint for Hugging Face | |
app.get('/', (req, res) => { | |
res.send('Julep API Proxy is running'); | |
}); | |
// Start the server | |
app.listen(PORT, () => { | |
log(LogLevels.INFO, `Server running on port ${PORT}`); | |
}); | |