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GPT-5 Integration Guide: Step-by-Step Setup with Examples
June 30, 2025•9 min read•FromYou AI Team
What You’ll Build
We’ll create a secure server proxy, stream tokens to a modern UI, and add retries, logging, and cost controls. This is the fastest path from idea to a robust GPT-5 feature.
1) Server Proxy
Example Next.js route
export async function POST(req: Request) {
const apiKey = process.env.OPENAI_API_KEY!;
const body = await req.json();
const resp = await fetch("https://api.openai.com/v1/chat/completions", {
method: "POST",
headers: { "Authorization": `Bearer ${apiKey}`, "Content-Type": "application/json" },
body: JSON.stringify(body),
});
return new Response(resp.body, { status: resp.status });
}Keep keys server-side and enforce quotas per user/session.
2) Streaming UI
Use server-sent events or web streams to render tokens as they arrive. Disable submit while in-flight and show retry on failure.
- • Cursor-at-end autoscroll
- • Stop/Retry controls
- • Partial content buffering
3) Production Hardening
- • Exponential backoff on 429/5xx, plus circuit breaking for repeated failures.
- • Token budgets per route; trim context and summarize long threads.
- • Structured logging: request id, user id, model, tokens, duration.
Where to Go Next
Check the GPT-5 API docs overview, explore developer patterns, and review API pricing.