ai-generation-persistence Skill

Source

• Creator: openai
• Repository: openai/plugins
• Skill file: plugins/vercel/skills/ai-generation-persistence/SKILL.md

What it does

AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation

Skill instructions

AI Generation Persistence AI generations are expensive, non-reproducible assets. Never discard them. Every call to an LLM costs real money and produces unique output that cannot be exactly reproduced. Treat generations like database records — assign an ID, persist immediately, and make them retrievable. Core Rules 1. Generate an ID before the LLM call — use nanoid() or createId() from @paralleldrive/cuid2 2. Persist every generation — text and metadata to database, images and files to Vercel Blob 3. Make every generation addressable — URL pattern: /chat/[id], /generate/[id], /image/[id] 4. Track metadata — model name, token usage, estimated cost, timestamp, user ID 5. Never stream without saving — if the user refreshes, the generation must survive Generate-Then-Redirect Pattern The standard UX flow for AI features: create the resource first, then redirect to its page. ts // app/api/chat/route.ts import { nanoid } from "nanoid"; import { db } from "@/lib/db"; import { redirect } from "n