Project Setup (And Why Everything Will Break)

Express.js Framework Architecture

Dependencies That Actually Matter

Every Express + Claude tutorial uses JavaScript. Don't. TypeScript will save your ass when you're debugging why response.content[0].text is undefined at 2am on a Saturday because your users decided that's the perfect time to break shit. Claude's response objects are nested like a fucking Russian doll - without types, you'll spend 3 hours in the VS Code debugger figuring out if it's content.text, message.content, or response.message.content[0].text.value or some other bullshit structure that changes based on what model you're hitting.

The dependency versions matter more than you'd think. Anthropic SDK 0.29.0 fixed a streaming memory leak that took down our staging server for 2 hours on a Thursday morning while the CEO was demoing to investors. Express 4.21.0 patches CVE-2024-27982 and two other security holes that script kiddies love to exploit. Don't use anything older than these versions in production unless you enjoy explaining security breaches to your boss.

Essential Dependencies:

{
  "dependencies": {
    "@anthropic-ai/sdk": "^0.29.0",
    "express": "^4.21.0",
    "helmet": "^8.0.0",
    "express-rate-limit": "^7.4.1",
    "cors": "^2.8.5",
    "express-validator": "^7.2.0"
  },
  "devDependencies": {
    "@types/express": "^4.17.21",
    "@types/cors": "^2.8.17",
    "typescript": "^5.6.0",
    "nodemon": "^3.1.4"
  }
}

Don't build your own HTTP client. The official SDK handles all the shit you'll forget: retry logic when Claude's servers hiccup, proper error parsing so you don't get cryptic 400s, and streaming that won't eat your memory. I wasted 2 weeks building a custom client that the SDK did better.

Authentication and API Key Management

Node.js Security Architecture

API key management will destroy your budget if you screw it up. Junior dev on my team committed his key to a public repo at 11:30pm on a Friday night. Woke up Saturday morning to a $2,400 bill - some crypto asshole was using our API to generate trading signals for his shitcoin pump-and-dump scheme. GitHub's secret scanning caught it 8 hours too late, right after the automated email notifications started flooding my inbox.

Set billing alerts at $20, $50, $100. Trust me on this one. Environment variables aren't enough - someone will still console.log(process.env.ANTHROPIC_API_KEY) and commit it because they were debugging auth issues. Use .env files locally, AWS Secrets Manager in production, and pray your team reads the security docs.

Environment Configuration:

// config/environment.ts
export const config = {
  anthropic: {
    apiKey: process.env.ANTHROPIC_API_KEY,
    baseURL: process.env.ANTHROPIC_BASE_URL || 'https://api.anthropic.com'
  },
  server: {
    port: process.env.PORT || 3000,
    nodeEnv: process.env.NODE_ENV || 'development'
  }
};

if (!config.anthropic.apiKey) {
  throw new Error('ANTHROPIC_API_KEY environment variable is required');
}

// Check API key format early - Claude will just say "invalid" without this
if (!config.anthropic.apiKey.startsWith('sk-ant-')) {
  throw new Error('Invalid ANTHROPIC_API_KEY format - should start with sk-ant-');
}

Client Initialization:

// services/claude.ts
import Anthropic from '@anthropic-ai/sdk';
import { config } from '../config/environment';

export const claude = new Anthropic({
  apiKey: config.anthropic.apiKey,
  maxRetries: 3,
  timeout: 60000 // Claude takes forever on complex requests
});

// Test connection at startup so you know immediately if keys are fucked
export async function validateConnection() {
  try {
    await claude.messages.create({
      model: 'claude-sonnet-4-20250514',
      max_tokens: 10,
      messages: [{ role: 'user', content: 'test' }]
    });
    console.log('✓ Claude API connection validated');
  } catch (error) {
    console.error('✗ Claude API connection failed:', error.message);
    process.exit(1); // Kill the server if Claude isn't working
  }
}

Express Application Structure

Middleware order will fuck you up every single time. CORS first, then rate limiting, then auth. Get it wrong and you'll spend 4 hours on a Tuesday afternoon debugging why POST requests work in Postman but return 401s from your React frontend, only to realize you put the auth middleware before CORS and it's rejecting preflight requests.

That 10MB JSON limit? Claude responses are massive when you ask it to analyze code or write documentation. Hit a complex request without it and you get PayloadTooLargeError: request entity too large - learned that one at 1:30am debugging a customer's 8MB response that contained their entire codebase analysis. Bumped it to 10MB and it worked perfectly.

Core Application Setup:

// app.ts
import express from 'express';
import helmet from 'helmet';
import cors from 'cors';
import rateLimit from 'express-rate-limit';
import { errorHandler } from './middleware/errorHandler';
import { claudeRoutes } from './routes/claude';

const app = express();

// Security middleware
app.use(helmet());
app.use(cors({
  origin: process.env.ALLOWED_ORIGINS?.split(',') || 'http://localhost:3000',
  credentials: true
}));

// Rate limiting - Claude's limits will destroy you if you're not careful
const limiter = rateLimit({
  windowMs: 15 * 60 * 1000, // 15 minutes
  max: 100, // Conservative - new Claude accounts get 5 RPM, you'll hit it fast
  message: 'Too many requests from this IP, please try again later',
  standardHeaders: true, // Return rate limit info in headers
  legacyHeaders: false // Disable X-RateLimit-* headers
});

app.use(limiter);
app.use(express.json({ limit: '10mb' }));

// Routes
app.use('/api/claude', claudeRoutes);

// Error handling
app.use(errorHandler);

export { app };

Message Processing and Streaming

Streaming is a fucking nightmare. The Anthropic docs make it look easy with their cute 10-line examples, but don't mention client disconnects mid-stream, malformed UTF-8 chunks that crash your JSON parser, or memory leaks when streams don't close properly. I watched a streaming bug take down production for 90 minutes because it didn't handle users closing their browser tabs - Node.js kept writing to dead connections until it exhausted file descriptors and the whole process crashed with EMFILE: too many open files.

This code handles all the bullshit that breaks in production and ruins your weekend.

Standard Message Processing:

// services/messageProcessor.ts
import { claude } from './claude';
import { MessageCreateParams } from '@anthropic-ai/sdk/resources/messages';

export class MessageProcessor {
  async processMessage(params: MessageCreateParams) {
    try {
      const response = await claude.messages.create({
        model: 'claude-sonnet-4-20250514',
        max_tokens: 4096,
        ...params
      });

      return {
        content: response.content,
        usage: response.usage,
        role: response.role,
        requestId: response._request_id
      };
    } catch (error) {
      if (error instanceof Anthropic.APIError) {
        // The "model_not_found" error everyone hits
        if (error.status === 400 && error.message.includes('model_not_found')) {
          throw new ClaudeAPIError(400, 'Invalid model specified. Check model name spelling.');
        }
        throw new ClaudeAPIError(error.status, error.message);
      }
      throw error;
    }
  }
}

Streaming Implementation:

// routes/claude.ts
import { Router } from 'express';
import { MessageProcessor } from '../services/messageProcessor';

const router = Router();
const messageProcessor = new MessageProcessor();

router.post('/stream', async (req, res) => {
  // Handle client disconnect or your memory will leak like crazy
  const cleanup = () => {
    if (!res.headersSent) res.status(499).end();
  };
  req.on('close', cleanup);
  req.on('aborted', cleanup);

  try {
    res.setHeader('Content-Type', 'text/event-stream');
    res.setHeader('Cache-Control', 'no-cache');
    res.setHeader('Connection', 'keep-alive');
    res.setHeader('Access-Control-Allow-Origin', '*'); // Streaming breaks without this

    const stream = await claude.messages.create({
      ...req.body,
      stream: true
    });

    for await (const chunk of stream) {
      // Bail if user closed their browser
      if (req.destroyed) break;
      
      if (chunk.type === 'content_block_delta') {
        res.write(`data: ${JSON.stringify(chunk.delta)}

`);
      }
    }

    if (!req.destroyed) {
      res.write('data: [DONE]

');
      res.end();
    }
  } catch (error) {
    if (!req.destroyed) {
      res.write(`data: ${JSON.stringify({ error: error.message })}

`);
      res.end();
    }
  }
});

export { router as claudeRoutes };

Request Validation and Sanitization

Input validation saves your sanity. Claude gives cryptic "invalid request format" errors without it. You'll waste hours debugging requests that look fine to you.

The model name validation prevents the typo everyone makes - "claude-3-sonnet" instead of "claude-sonnet-4-20250514". Spent 45 minutes on this exact bug last month.

// middleware/validation.ts
import { body, validationResult } from 'express-validator';
import { Request, Response, NextFunction } from 'express';

export const validateMessageRequest = [
  body('messages')
    .isArray()
    .withMessage('Messages must be an array')
    .notEmpty()
    .withMessage('Messages array cannot be empty'),
  
  body('messages.*.role')
    .isIn(['user', 'assistant'])
    .withMessage('Message role must be user or assistant'),
  
  body('messages.*.content')
    .trim()
    .isLength({ min: 1, max: 100000 })
    .withMessage('Message content must be between 1 and 100,000 characters'),
  
  body('model')
    .optional()
    .isIn(['claude-sonnet-4-20250514', 'claude-haiku-3-20241022', 'claude-opus-3-20241022'])
    .withMessage('Invalid model - use claude-sonnet-4-20250514, claude-haiku-3-20241022, or claude-opus-3-20241022'),
  
  body('max_tokens')
    .optional()
    .isInt({ min: 1, max: 8192 })
    .withMessage('max_tokens must be between 1 and 8192'),

  (req: Request, res: Response, next: NextFunction) => {
    const errors = validationResult(req);
    if (!errors.isEmpty()) {
      return res.status(400).json({
        error: 'Validation failed',
        details: errors.array()
      });
    }
    next();
  }
];

Node.js TypeScript Integration

This setup prevents the disasters everyone hits: leaked keys bankrupting you, memory leaks crashing servers, typos breaking integrations, and validation failures confusing users.

Get this foundation solid before adding fancy shit like Prometheus metrics or Docker. The basics aren't sexy but they prevent 3am pages from angry customers.

The Shit That Actually Breaks in Production

Express Middleware Architecture

Error Handling (Because Everything Will Fail)

Every tutorial stops at "hello world" and ignores what happens when Claude's servers shit the bed at 2pm on Black Friday. Claude doesn't just return clean 500 errors - it gives you cryptic messages like anthropic_api_error: invalid_request_format that mean absolutely nothing to your users and tell you fuck-all about what went wrong.

Rate limits hit with zero warning at exactly the worst moment. Auth fails randomly with invalid_api_key even though you've been using the same key for weeks. Requests timeout after users wait 45 seconds watching your loading spinner, then they get pissed and email support. Your generic error handler returning "something went wrong" makes users think your app is broken shit built by incompetent developers.

Centralized Error Handler:

// middleware/errorHandler.ts
import { Request, Response, NextFunction } from 'express';
import Anthropic from '@anthropic-ai/sdk';

export class ClaudeAPIError extends Error {
  constructor(
    public statusCode: number,
    message: string,
    public requestId?: string,
    public anthropicError?: boolean
  ) {
    super(message);
    this.name = 'ClaudeAPIError';
  }
}

export const errorHandler = (
  error: Error,
  req: Request,
  res: Response,
  next: NextFunction
) => {
  console.error('API Error:', {
    error: error.message,
    stack: error.stack,
    url: req.url,
    method: req.method,
    timestamp: new Date().toISOString()
  });

  if (error instanceof Anthropic.APIError) {
    // Turn Claude's garbage errors into something users understand
    let userMessage = sanitizeErrorMessage(error.message);
    
    if (error.status === 429) {
      userMessage = 'Claude API rate limit exceeded. Please wait a minute before trying again.';
    } else if (error.status === 400 && error.message.includes('max_tokens')) {
      userMessage = 'Response too long. Try reducing your request complexity.';
    } else if (error.status === 500) {
      userMessage = 'Claude API is temporarily unavailable. Please try again in a few minutes.';
    }
    
    return res.status(error.status).json({
      error: 'Claude API Error',
      message: userMessage,
      requestId: error.request_id,
      timestamp: new Date().toISOString()
    });
  }

  if (error instanceof ClaudeAPIError) {
    return res.status(error.statusCode).json({
      error: 'Integration Error',
      message: error.message,
      requestId: error.requestId,
      timestamp: new Date().toISOString()
    });
  }

  // Default error response
  res.status(500).json({
    error: 'Internal Server Error',
    message: 'An unexpected error occurred',
    timestamp: new Date().toISOString()
  });
};

function sanitizeErrorMessage(message: string): string {
  // Strip out API keys because developers are idiots
  return message.replace(/api[_-]?key[s]?[
s:=]["']?[\w-]+/gi, 'API_KEY_REDACTED');
}

Advanced Rate Limiting Strategies

Express Rate Limiting

Single rate limit for everything? You're absolutely fucked. Claude's got different limits for different models - Sonnet gets 5 RPM on new accounts, Haiku gets 25 RPM, and Opus gets 2 RPM because it's slow as molasses. Hit the global limit and your entire app dies with 429 Too Many Requests errors. Our product demo got hammered during a conference and nobody could use the app for 4 hours while I frantically tried to figure out why perfectly valid requests were failing.

You need layers: basic flood protection to stop script kiddies, Claude-specific limits that match their bullshit tier system, and sketchy behavior detection for users trying to mine crypto with your API. Without Redis, your rate limiting is completely useless at scale - learned that lesson when our single-server rate limiter reset every time we deployed and users could spam requests during the 30-second deployment window.

Multi-Tier Rate Limiting:

// middleware/rateLimiter.ts
import rateLimit from 'express-rate-limit';
import RedisStore from 'rate-limit-redis';
import Redis from 'ioredis';

const redis = new Redis(process.env.REDIS_URL || 'redis://localhost:6379');

// General API rate limiting
export const generalLimiter = rateLimit({
  store: new RedisStore({
    storeClient: redis,
    prefix: 'rl:general:'
  }),
  windowMs: 15 * 60 * 1000, // 15 minutes
  max: 1000, // 1000 requests per 15 minutes
  message: {
    error: 'Too many requests',
    retryAfter: '15 minutes'
  }
});

// Claude-specific limits (way more restrictive)
export const claudeLimiter = rateLimit({
  store: new RedisStore({
    storeClient: redis,
    prefix: 'rl:claude:'
  }),
  windowMs: 60 * 1000, // 1 minute
  max: 10, // New Claude accounts get 5 RPM - you'll hit this instantly
  message: {
    error: 'Claude API rate limit exceeded',
    retryAfter: '1 minute',
    hint: 'New Anthropic accounts have strict rate limits - upgrade for higher throughput'
  },
  // Let premium users skip the pain
  skip: (req) => {
    return req.headers['x-user-tier'] === 'premium';
  }
});

// IP-based suspicious activity detection
export const suspiciousActivityLimiter = rateLimit({
  store: new RedisStore({
    storeClient: redis,
    prefix: 'rl:suspicious:'
  }),
  windowMs: 60 * 60 * 1000, // 1 hour
  max: 5000, // Very high limit
  skip: (req) => {
    // Whitelist your office IPs so you don't rate limit yourself during demos
    const trustedIPs = process.env.TRUSTED_IPS?.split(',') || [];
    return trustedIPs.includes(req.ip);
  }
});

Authentication and Authorization Middleware

JWT Authentication Architecture

Auth middleware looks trivial until you deploy and realize you've built a security disaster that would make OWASP weep. I've seen production apps that check API keys but ignore JWT expiration dates - users with 6-month-old tokens still accessing paid features. Systems that accept any Bearer token that vaguely looks like JWT without verifying the signature, because someone commented out the validation "temporarily" during debugging and forgot to uncomment it.

This pattern handles the common auth cases without the obvious security holes that get you fired. API key first (for bots and services), JWT second (for actual users). Both strategies work in production, neither will get you pwned by someone who found your API docs on a Tuesday.

Multi-Strategy Authentication:

// middleware/auth.ts
import { Request, Response, NextFunction } from 'express';
import jwt from 'jsonwebtoken';

interface AuthenticatedRequest extends Request {
  user?: {
    id: string;
    role: string;
    permissions: string[];
  };
  apiKey?: {
    keyId: string;
    permissions: string[];
  };
}

export const authenticate = async (
  req: AuthenticatedRequest,
  res: Response,
  next: NextFunction
) => {
  try {
    // Try API key authentication first
    const apiKey = req.headers['x-api-key'] as string;
    if (apiKey) {
      const keyData = await validateApiKey(apiKey);
      if (keyData) {
        req.apiKey = keyData;
        return next();
      }
    }

    // Try JWT authentication
    const token = req.headers.authorization?.replace('Bearer ', '');
    if (token) {
      const decoded = jwt.verify(token, process.env.JWT_SECRET!) as any;
      req.user = decoded;
      return next();
    }

    return res.status(401).json({
      error: 'Authentication required',
      message: 'Provide valid API key or JWT token'
    });
  } catch (error) {
    return res.status(401).json({
      error: 'Invalid authentication',
      message: 'Authentication token is invalid or expired'
    });
  }
};

export const requirePermission = (permission: string) => {
  return (req: AuthenticatedRequest, res: Response, next: NextFunction) => {
    const userPermissions = req.user?.permissions || req.apiKey?.permissions || [];
    
    if (!userPermissions.includes(permission) && !userPermissions.includes('admin')) {
      return res.status(403).json({
        error: 'Insufficient permissions',
        required: permission,
        message: 'Your account lacks the required permissions for this operation'
      });
    }
    
    next();
  };
};

async function validateApiKey(key: string) {
  // Replace with your actual key validation
  // Database lookup, Redis cache, whatever
  return null; // TODO: implement this or everything breaks
}

Request Context and Correlation IDs

Node.js Distributed Architecture

Request tracking saves your ass when debugging distributed failures. When Claude times out and your user complains, correlation IDs let you trace the exact request through logs instead of guessing.

Request Context Middleware:

// middleware/requestContext.ts
import { Request, Response, NextFunction } from 'express';
import { v4 as uuidv4 } from 'uuid';

export interface RequestContext {
  correlationId: string;
  userId?: string;
  apiKeyId?: string;
  startTime: Date;
  userAgent: string;
  ip: string;
}

declare global {
  namespace Express {
    interface Request {
      context: RequestContext;
    }
  }
}

export const requestContext = (req: Request, res: Response, next: NextFunction) => {
  const correlationId = (req.headers['x-correlation-id'] as string) || uuidv4();
  
  req.context = {
    correlationId,
    startTime: new Date(),
    userAgent: req.headers['user-agent'] || 'unknown',
    ip: req.ip || req.connection.remoteAddress || 'unknown'
  };

  // Send correlation ID back so users can reference it in support tickets
  res.setHeader('x-correlation-id', correlationId);
  
  // Log request start
  console.log('Request started:', {
    correlationId,
    method: req.method,
    url: req.url,
    userAgent: req.context.userAgent,
    ip: req.context.ip
  });

  // Log request completion
  res.on('finish', () => {
    const duration = Date.now() - req.context.startTime.getTime();
    console.log('Request completed:', {
      correlationId,
      method: req.method,
      url: req.url,
      statusCode: res.statusCode,
      duration: `${duration}ms`
    });
  });

  next();
};

Content Filtering and Safety

Content Security Pipeline

Content filtering prevents users from turning your Claude integration into a malware generator or prompt injection playground. Claude's safety filters aren't perfect and won't catch everything malicious users try - I've seen jailbreak attempts slip through that would make your security team shit bricks.

Users will attempt to generate viruses, extract training data, create fake news, bypass your business logic, and social engineer Claude into doing things it shouldn't. Basic keyword filtering stops the dumb shit like "create virus plz". The sneaky attempts - like encoding malicious prompts in base64 or using unicode tricks - need actual effort to catch.

Content Safety Middleware:

// middleware/contentSafety.ts
import { Request, Response, NextFunction } from 'express';

const BLOCKED_PATTERNS = [
  /generate\s+malware/i,
  /create\s+virus/i,
  /hack\s+into/i,
  /bypass\s+security/i,
  /jailbreak/i,
  /ignore\s+(previous|above)\s+instructions/i,
  // Common prompt injection bullshit
  /pretend\s+you\s+are/i,
  /roleplay\s+as/i
];

const SENSITIVE_TOPICS = [
  'personal_information',
  'medical_advice',
  'legal_advice',
  'financial_advice'
];

export const contentSafety = (req: Request, res: Response, next: NextFunction) => {
  const messages = req.body.messages || [];
  
  for (const message of messages) {
    if (typeof message.content === 'string') {
      // Scan for obvious bad shit
      for (const pattern of BLOCKED_PATTERNS) {
        if (pattern.test(message.content)) {
          return res.status(400).json({
            error: 'Content violation',
            message: 'Request contains prohibited content',
            code: 'CONTENT_BLOCKED'
          });
        }
      }

      // Stop people from sending war and peace
      if (message.content.length > 100000) {
        return res.status(400).json({
          error: 'Content too long',
          message: 'Message content exceeds maximum length',
          maxLength: 100000
        });
      }
    }
  }

  next();
};

Production Node.js Architecture

This middleware isn't optional if real users touch your app. Every pattern here fixes a production disaster I've debugged: keys leaked to GitHub, rate limits killing apps, auth bypasses, malicious prompts.

Don't build everything at once. Error handling and rate limiting first - they prevent 80% of disasters. Auth and content filtering before you launch. Fancy monitoring later when you have traffic worth monitoring.

Build this foundation or spend your nights explaining to angry users why everything's broken.

Integration Approach Comparison

Aspect

Direct API Integration

SDK with Middleware

Microservice Pattern

Event-Driven Architecture

Implementation Complexity

Low

  • Simple HTTP calls

Medium

  • SDK + custom middleware

High

  • Multiple services

Very High

  • Event infrastructure

Type Safety

Manual typing required

Full TypeScript support

Varies by service language

Schema-based validation

Error Handling

Manual HTTP error parsing

Built-in SDK error types

Distributed error handling

Event-based error recovery

Rate Limiting

Client-side implementation

Middleware-based control

Service-level limits

Queue-based throttling

Scalability

Limited by single process

Process-level scaling

Independent service scaling

Infinite horizontal scaling

Monitoring

Basic HTTP metrics

Request/response tracking

Service mesh observability

Event stream monitoring

Development Speed

Fast initial setup

Moderate

  • middleware config

Slow

  • multiple codebases

Very Slow

  • complex setup

Maintenance Overhead

Low

  • single codebase

Medium

  • middleware updates

High

  • multiple services

Very High

  • event infrastructure

Testing Complexity

Simple unit tests

Integration test suites

Cross-service testing

End-to-end event testing

Deployment Complexity

Single deployment

Container orchestration

Multi-service deployment

Complex event infrastructure

Security Model

API key management

Middleware-based auth

Service-to-service auth

Event-level security

Cost Efficiency

Most cost-effective

Moderate infrastructure

Higher infrastructure costs

Highest operational costs

Team Size Requirements

1-2 developers

2-4 developers

4-8 developers

8+ developers

Best Use Cases

Prototypes, small apps

Production web applications

Enterprise platforms

High-scale distributed systems

Frequently Asked Questions

Q

How do I get a Claude API key and what are the costs?

A

Sign up at Anthropic Console with a credit card

  • no free tier bullshit, they want your money upfront like a Vegas casino. Pricing is $3 per million input tokens, $15 per million output tokens for Sonnet-4. That sounds cheap until you do the math.Costs spiral fast as fuck. One detailed conversation burns $2-3 in tokens. Left a demo running over the weekend with a bug that made it loop API calls and got a $500 bill on Monday morning. Set billing alerts at $20, $50, $100 or you'll hate yourself when your side project bankrupts you.
Q

What's the difference between the Claude SDK and direct HTTP calls?

A

Use the official SDK. Don't build your own HTTP client

  • I wasted 2 days debugging connection timeouts and malformed responses that the SDK handles automatically.Raw HTTP looks simpler until Claude returns weird errors or connection drops mid-stream. The SDK handles all the edge cases you'll forget about.
Q

Which Claude model should I use for my Express.js application?

A

claude-sonnet-4-20250514 for most shit

  • good balance of smart and fast, handles complex requests without making users wait forever. claude-haiku-3-20241022 for simple tasks like summarization where speed matters more than deep thinking. Don't use claude-opus-3-20241022 unless you hate money and your users don't mind waiting 30-45 seconds watching a spinner while it thinks really hard about their simple question.
Q

How do I securely store and rotate API keys?

A

Don't hardcode keys in your code

  • every junior dev will commit them to Git

Hub eventually. Environment variables locally, proper secrets manager in production (AWS Secrets Manager, HashiCorp Vault). Set up billing alerts so you know immediately when someone steals your keys.

Q

What authentication pattern should I implement for end users?

A

Proxy pattern: authenticate users with JWT/sessions, then your server calls Claude on their behalf. Never send your Claude API key to the browser

  • some asshole will extract it and run up your bill. Server-side calls let you rate limit users and filter malicious requests.
Q

How do I prevent API key exposure in logs or error messages?

A

Sanitize your logs or you'll accidentally leak keys in error messages. Use correlation IDs for tracing requests instead of including sensitive headers. Your logging framework should automatically strip authorization headers

  • configure it properly or prepare for pain.
Q

How do I handle Claude's rate limits in Express.js?

A

Claude's rate limits are brutal. New accounts get 5 requests per minute for Sonnet

  • users hit this in seconds. Without proper handling, everyone gets cryptic "429 Too Many Requests" errors.Multi-tier rate limiting with Redis. Set your limits lower than Claude's so you give users helpful messages instead of confusing API errors. Upgrade your Anthropic tier before launch or you're fucked.
Q

When should I use streaming responses vs. standard responses?

A

Always use streaming for user-facing apps. Nobody wants to wait 30 seconds staring at a loading spinner. Streaming shows text as it generates, making the app feel faster even when it's not.Server-Sent Events, not WebSockets. SSE is simpler and doesn't break with proxies. WebSockets are overkill and harder to debug when they inevitably break.

Q

How do I optimize for high-traffic applications?

A

Request queues (Redis/SQS), connection pooling, response caching for repeated requests, circuit breakers when Claude goes down. Monitor token usage like a hawk

  • costs spiral fast with high traffic. Exponential backoff on retries or you'll DDoS yourself.
Q

What are the most common Claude API errors and how do I handle them?

A

Every Claude integration hits these exact errors that will ruin your day:

  • model_not_found - you typed "claude-3-sonnet" instead of "claude-sonnet-4-20250514" like an idiot
  • invalid_api_key - key format is wrong or you forgot to set ANTHROPIC_API_KEY in production
  • rate_limit_exceeded - hitting that brutal 5 RPM limit on new accounts instantly
  • request_too_large - tried to send your entire codebase as input (400KB max)
  • ECONNRESET - Claude's servers dropped your connection mid-request
  • timeout_error - Claude took longer than 60 seconds processing your complex prompt

Handle each error type specifically with helpful messages. "Something went wrong" doesn't help users or you debugging at 2am while customers are pissed.

Q

How do I debug issues with Claude API responses?

A

Log everything with correlation IDs so you can trace failures across your distributed clusterfuck of microservices. Capture full requests and responses (sanitized to avoid logging API keys like an amateur). Monitor token usage patterns to spot when users are trying to game your system. Claude includes anthropic-request-id in response headers

  • save these for support tickets when shit inevitably breaks and Anthropic asks for the request ID.
Q

Why am I getting inconsistent responses from Claude?

A

Claude is non-deterministic

  • same prompt, different answers each time. That's by design. For consistency, validate response formats and retry when it returns garbage. Better prompting helps but won't eliminate randomness entirely.
Q

How do I monitor Claude API usage in production?

A

Track everything: response times, token usage, error rates, costs. Use APM tools (Data

Dog, New Relic) for deep monitoring. Set alerts for error spikes, approaching rate limits, and unusual costs

  • you want to know before users start complaining.
Q

What's the best deployment architecture for Claude integration?

A

Containerize your Express app, stick it behind a load balancer. Separate API keys for dev/staging/prod environments. Health checks, graceful shutdowns, proper timeouts

  • the basics that prevent 3am pages when containers crash.
Q

How do I handle Claude API outages or degraded service?

A

Circuit breakers that detect failures and serve cached responses or fallback content.

Don't let your entire app break when Claude goes down

Q

How do I implement content filtering for Claude requests?

A

Middleware that blocks obvious bad shit before it hits Claude. Keyword filtering, length limits, topic classification. Users will try to generate malware, create fake news, extract training data

  • catch the obvious attempts early.
Q

What are the data privacy implications of using Claude API?

A

Anthropic says they don't train on your API data, but don't trust any AI company completely. Avoid sending PII, implement data retention policies, anonymize sensitive data. Cover your ass with proper data handling regardless of their promises.

Q

How do I ensure compliance with industry regulations?

A

Check Anthropic's compliance docs but implement your own safeguards. Healthcare (HIPAA), finance (PCI DSS), whatever

  • add extra encryption, audit logging, access controls. Run in compliance-certified cloud environments if you're paranoid (you should be).

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