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Express Adapter

The most popular Node.js web framework

Express is a minimal and flexible Node.js web framework that provides a robust set of features for building web applications and APIs. It has the largest ecosystem of middleware and is widely used in production.


Why Express?​

FeatureBenefit
Mature ecosystemThousands of middleware packages available
Well-documentedExtensive documentation and community resources
Familiar APIMost Node.js developers already know Express
FlexibleUnopinionated, adapt to any architecture
Production-provenPowers millions of applications worldwide
Easy migrationIntegrate NeuroLink into existing Express apps

Express is ideal when you have an existing Express application or prefer its familiar middleware patterns.


CLI Usage​

Start an Express server via CLI:

# Foreground mode
neurolink serve --framework express --port 3000

# Background mode
neurolink server start --framework express --port 3000

# Check routes
neurolink server routes

Quick Start​

Installation​

Express must be installed separately alongside NeuroLink:

npm install @juspay/neurolink express

Basic Usage​

import { NeuroLink } from "@juspay/neurolink";
import { createServer } from "@juspay/neurolink";

const neurolink = new NeuroLink({
defaultProvider: "openai",
});

const server = await createServer(neurolink, {
framework: "express",
config: {
port: 3000,
basePath: "/api",
},
});

await server.initialize();
await server.start();

console.log("Server running on http://localhost:3000");

Test the Server​

# Health check
curl http://localhost:3000/api/health

# Execute agent
curl -X POST http://localhost:3000/api/agent/execute \
-H "Content-Type: application/json" \
-d '{"input": "Hello, world!"}'

Accessing the Express App​

For advanced customization, you can access the underlying Express application:

import { NeuroLink } from "@juspay/neurolink";
import { createServer } from "@juspay/neurolink";
import helmet from "helmet";
import morgan from "morgan";

const neurolink = new NeuroLink();

const server = await createServer(neurolink, {
framework: "express",
config: { port: 3000 },
});

// Get the underlying Express app
const app = server.getFrameworkInstance();

// Add Express middleware
app.use(helmet());
app.use(morgan("combined"));

// Add custom routes directly on Express
app.get("/custom", (req, res) => {
res.json({ message: "Custom route" });
});

// Add route groups with Express Router
import { Router } from "express";
const v2Router = Router();
v2Router.get("/status", (req, res) => res.json({ version: 2 }));
app.use("/v2", v2Router);

await server.initialize();
await server.start();

Configuration Options​

Full Configuration Example​

const server = await createServer(neurolink, {
framework: "express",
config: {
// Server settings
port: 3000,
host: "0.0.0.0",
basePath: "/api",
timeout: 30000, // 30 seconds

// CORS
cors: {
enabled: true,
origins: ["https://myapp.com", "https://staging.myapp.com"],
methods: ["GET", "POST", "PUT", "DELETE"],
headers: ["Content-Type", "Authorization", "X-Request-ID"],
credentials: true,
maxAge: 86400, // 24 hours
},

// Rate limiting
rateLimit: {
enabled: true,
maxRequests: 100,
windowMs: 60000, // 1 minute
skipPaths: ["/api/health", "/api/ready"],
},
// Note: Rate-limited responses (HTTP 429) include a `Retry-After` header indicating seconds to wait.

// Body parsing
bodyParser: {
enabled: true,
maxSize: "10mb",
jsonLimit: "10mb",
},

// Logging
logging: {
enabled: true,
level: "info",
includeBody: false,
includeResponse: false,
},

// Documentation
enableSwagger: true,
enableMetrics: true,
},
});

Middleware Integration​

import {
createServer,
createAuthMiddleware,
createRateLimitMiddleware,
createCacheMiddleware,
createRequestIdMiddleware,
createTimingMiddleware,
} from "@juspay/neurolink";

const server = await createServer(neurolink, {
framework: "express",
config: { port: 3000 },
});

// Add request ID to all requests
server.registerMiddleware(createRequestIdMiddleware());

// Add timing headers
server.registerMiddleware(createTimingMiddleware());

// Add authentication
server.registerMiddleware(
createAuthMiddleware({
type: "bearer",
validate: async (token) => {
const decoded = await verifyJWT(token);
return decoded ? { id: decoded.sub, roles: decoded.roles } : null;
},
skipPaths: ["/api/health", "/api/ready", "/api/version"],
}),
);

// Add rate limiting
server.registerMiddleware(
createRateLimitMiddleware({
maxRequests: 100,
windowMs: 60000,
keyGenerator: (ctx) => ctx.headers["x-api-key"] || ctx.ip,
}),
);

// Add response caching
server.registerMiddleware(
createCacheMiddleware({
ttlMs: 300000, // 5 minutes
methods: ["GET"],
excludePaths: ["/api/agent/execute", "/api/agent/stream"],
}),
);

// Note: Cached responses include `X-Cache: HIT` header. Fresh responses include `X-Cache: MISS`.

await server.initialize();
await server.start();

Using Express-Native Middleware​

import helmet from "helmet";
import morgan from "morgan";
import compression from "compression";
import cors from "cors";

const server = await createServer(neurolink, { framework: "express" });
const app = server.getFrameworkInstance();

// Security headers
app.use(helmet());

// Logging
app.use(morgan("combined"));

// Compression
app.use(compression());

// Custom CORS configuration
app.use(
cors({
origin: (origin, callback) => {
// Dynamic origin checking
if (!origin || origin.endsWith(".myapp.com")) {
callback(null, true);
} else {
callback(new Error("Not allowed by CORS"));
}
},
methods: ["GET", "POST", "PUT", "DELETE", "OPTIONS"],
allowedHeaders: ["Content-Type", "Authorization"],
exposedHeaders: ["X-Request-Id", "X-Response-Time"],
maxAge: 86400,
credentials: true,
}),
);

await server.initialize();
await server.start();

Streaming Responses​

Express supports streaming through Server-Sent Events (SSE):

// The /api/agent/stream endpoint is automatically set up
// It uses Server-Sent Events (SSE) for streaming

// Client-side usage:
// Note: EventSource only supports GET requests in browsers.
// Use query parameters for simple inputs:
const eventSource = new EventSource(
`/api/agent/stream?input=${encodeURIComponent("Write a story")}`,
);

eventSource.onmessage = (event) => {
const data = JSON.parse(event.data);
if (data.type === "text-delta") {
console.log(data.content);
}
};

// For POST requests with SSE, use fetch with a readable stream:
async function streamWithPost() {
const response = await fetch("/api/agent/stream", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ input: "Write a story" }),
});

const reader = response.body.getReader();
const decoder = new TextDecoder();

while (true) {
const { done, value } = await reader.read();
if (done) break;

const chunk = decoder.decode(value);
// Parse SSE format: "data: {...}\n\n"
const lines = chunk.split("\n");
for (const line of lines) {
if (line.startsWith("data: ")) {
const data = JSON.parse(line.slice(6));
if (data.type === "text-delta") {
console.log(data.content);
}
}
}
}
}

Custom Streaming Route​

const app = server.getFrameworkInstance();

app.post("/api/custom-stream", async (req, res) => {
res.setHeader("Content-Type", "text/event-stream");
res.setHeader("Cache-Control", "no-cache");
res.setHeader("Connection", "keep-alive");

for await (const chunk of neurolink.generateStream({
prompt: req.body.input,
})) {
res.write(`data: ${JSON.stringify(chunk)}\n\n`);
}

res.write("event: done\ndata: \n\n");
res.end();
});

Abort Signal Handling​

The abort signal middleware allows detecting when clients disconnect during long-running requests. NeuroLink provides both a universal middleware and an Express-specific implementation.

Using Abort Signal Middleware​

import {
createAbortSignalMiddleware,
createExpressAbortMiddleware,
} from "@juspay/neurolink";

// Option 1: Universal middleware (works with ServerContext)
const abortMiddleware = createAbortSignalMiddleware({
onAbort: (ctx) => {
console.log(`Request ${ctx.requestId} was aborted by client`);
},
timeout: 30000, // Optional request timeout
});

// Option 2: Express-specific middleware (lower-level)
app.use(createExpressAbortMiddleware());

// Access in route handler
app.get("/long-operation", async (req, res) => {
const { abortSignal } = res.locals;

// Check if aborted
if (abortSignal?.aborted) {
return res.status(499).json({ error: "Request cancelled" });
}

// Use with fetch or other AbortSignal-aware APIs
const response = await fetch(url, { signal: abortSignal });
});

Use Cases​

The abort signal middleware is useful for:

  • Long-running AI generation - Cancel generation when client disconnects
  • Streaming responses - Stop producing chunks when client leaves
  • Database queries - Cancel queries that support abort signals
  • External API calls - Pass signal to fetch/axios for cancellation

Native Express Approach​

For simpler cases, you can use Express's native socket events:

const app = server.getFrameworkInstance();

app.post("/api/long-running", async (req, res) => {
// Check if client disconnected
req.on("close", () => {
console.log("Client disconnected, cleaning up...");
// Cleanup resources
});

// Your long-running operation
const result = await neurolink.generate({
prompt: req.body.input,
});

res.json(result);
});

For streaming requests, the adapter automatically detects client disconnection and stops the stream to avoid unnecessary processing.


Error Handling​

Custom Error Handler​

const app = server.getFrameworkInstance();

// Custom error handling middleware (must be defined last)
app.use((err, req, res, next) => {
console.error("Error:", err);

// AI provider errors
if (err.message.includes("rate limit")) {
return res.status(429).json({
error: "Rate limit exceeded",
retryAfter: 60,
});
}

// Validation errors
if (err.name === "ValidationError") {
return res.status(400).json({
error: "Validation failed",
details: err.details,
});
}

// Default error response
res.status(500).json({
error: "Internal server error",
message: process.env.NODE_ENV === "development" ? err.message : undefined,
});
});

// 404 handler
app.use((req, res) => {
res.status(404).json({
error: "Not found",
path: req.path,
});
});

Integrating with Existing Express Apps​

If you already have an Express application, you can integrate NeuroLink routes:

import express from "express";
import { NeuroLink } from "@juspay/neurolink";
import { createServer } from "@juspay/neurolink";

// Your existing Express app
const existingApp = express();
existingApp.use(express.json());

// Add your existing routes
existingApp.get("/", (req, res) => {
res.json({ message: "Welcome to my API" });
});

// Create NeuroLink server
// Note: basePath: "/" since Express mount path handles the prefix
const neurolink = new NeuroLink({ defaultProvider: "openai" });
const nlServer = await createServer(neurolink, {
framework: "express",
config: { basePath: "/" },
});

await nlServer.initialize();

// Mount NeuroLink routes on your existing app
const nlApp = nlServer.getFrameworkInstance();
existingApp.use("/ai", nlApp);

// Start your existing app
existingApp.listen(3000, () => {
console.log("Server running on http://localhost:3000");
console.log("AI endpoints available at /ai/*");
});

Testing​

Unit Testing with Supertest​

import { describe, it, expect, beforeAll, afterAll } from "vitest";
import request from "supertest";
import { NeuroLink } from "@juspay/neurolink";
import { createServer } from "@juspay/neurolink";

describe("API Server", () => {
let server;
let app;

beforeAll(async () => {
const neurolink = new NeuroLink({ defaultProvider: "openai" });
server = await createServer(neurolink, { framework: "express" });
await server.initialize();
app = server.getFrameworkInstance();
});

afterAll(async () => {
await server.stop();
});

it("should return health status", async () => {
const res = await request(app).get("/api/health");

expect(res.status).toBe(200);
expect(res.body.status).toBe("ok");
});

it("should execute agent request", async () => {
const res = await request(app)
.post("/api/agent/execute")
.set("Content-Type", "application/json")
.send({ input: "Hello" });

expect(res.status).toBe(200);
expect(res.body.data).toBeDefined();
});
});

Production Checklist​

  • Configure environment variables securely
  • Set appropriate CORS origins (not *)
  • Enable rate limiting with reasonable limits
  • Add authentication middleware
  • Configure request timeouts
  • Set body size limits
  • Enable compression (gzip/brotli)
  • Add security headers (helmet)
  • Configure logging with appropriate level
  • Set up health check monitoring
  • Configure error tracking (Sentry, etc.)
  • Use a process manager (PM2, systemd)


Additional Resources​


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