Imported from jeremylongshore/tons-of-skills-marketplace (plugins/saas-packs/claude-pack/skills/clade-deploy-integration/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill clade-deploy-integration. Copyright stays with the author (MIT).

Deploy Anthropic Integration

Overview

Claude integrations are stateless API wrappers — a serverless function receives a user request, streams from the Messages API, and returns the response. No database, no connection pool, no persistent state.

Vercel Edge Function (Recommended)

// app/api/chat/route.ts (Next.js App Router)
import Anthropic from '@claude-ai/sdk';

export const runtime = 'edge';

export async function POST(req: Request) {
  const client = new Anthropic();
  const { messages, system } = await req.json();

  const stream = await client.messages.create({
    model: 'claude-sonnet-4-20250514',
    max_tokens: 4096,
    system: system || 'You are a helpful assistant.',
    messages,
    stream: true,
  });

  // Convert Anthropic stream to ReadableStream for SSE
  const encoder = new TextEncoder();
  const readable = new ReadableStream({
    async start(controller) {
      for await (const event of stream) {
        if (event.type === 'content_block_delta' && event.delta.type === 'text_delta') {
          controller.enqueue(encoder.encode(`data: ${JSON.stringify(event.delta)}\n\n`));
        }
      }
      controller.enqueue(encoder.encode('data: [DONE]\n\n'));
      controller.close();
    },
  });

  return new Response(readable, {
    headers: {
      'Content-Type': 'text/event-stream',
      'Cache-Control': 'no-cache',
    },
  });
}

Instructions

Step 1: Deploy to Vercel

# Add secret
vercel env add ANTHROPIC_API_KEY

# Deploy
vercel --prod

Fly.io (Long-Running / WebSocket)

FROM node:20-slim
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
EXPOSE 3000
CMD ["node", "server.js"]

fly launch --name my-claude-app
fly secrets set ANTHROPIC_API_KEY=sk-ant-api03-...
fly deploy

Google Cloud Run

gcloud run deploy claude-api \
  --source . \
  --region us-central1 \
  --allow-unauthenticated \
  --set-secrets=ANTHROPIC_API_KEY=claude-key:latest \
  --timeout=300 \
  --concurrency=80

Health Check

// api/health.ts
import Anthropic from '@claude-ai/sdk';

export async function GET() {
  try {
    const client = new Anthropic();
    const msg = await client.messages.create({
      model: 'claude-haiku-4-5-20251001',
      max_tokens: 5,
      messages: [{ role: 'user', content: 'ping' }],
    });
    return Response.json({ status: 'healthy', model: msg.model });
  } catch (err) {
    return Response.json({ status: 'unhealthy', error: err.message }, { status: 503 });
  }
}

Environment Variables

Output

• Application deployed to chosen platform with streaming support
• ANTHROPIC_API_KEY stored in platform secrets manager
• Health check endpoint returning Claude connectivity status
• Environment-specific configuration (model, max_tokens) in place

Error Handling

Examples

See Vercel Edge Function (with SSE streaming), Fly.io Dockerfile, Cloud Run deploy script, and Health Check endpoint above.

Resources

• Anthropic API Docs
• Vercel AI SDK (optional higher-level wrapper)

Next Steps

See clade-observability for monitoring your Claude calls in production.

Prerequisites

• Completed clade-install-auth and clade-prod-checklist
• Production Anthropic API key (separate from dev key)
• Platform CLI installed: vercel, fly, or gcloud
• Application code tested locally