ai-handler

# Replicate AI Handler Skill This skill provides a production-ready pattern for integrating Replicate AI models. It handles long-running predictions using Inngest background jobs, stores results in S3, manages user credits, and updates database state. ## Architecture 1. **Trigger**: User requests a generation via API (e.g., `/api/app/ai-images`). 2. **Validation**: Check/deduct user credits. 3. **State**: Create a database record with `status: "processing"`. 4. **Queue**: Trigger an Inngest function to handle the Replicate API call. 5. **Processing**: - Call Replicate API. - Wait for completion (polling or webhook). - Download result and upload to S3 (server-side). 6. **Completion**: Update database record with S3 URL and `status: "completed"`. 7. **Failure**: Refund credits if failed (optional) and update status to `failed`. ## Prerequisites - `replicate` package installed (`npm install replicate`). - `REPLICATE_API_TOKEN` in `.env`. - S3 and Inngest configured. ## Implementation Steps ### 1. API Route (Trigger) `src/app/api/app/generate/route.ts` ```typescript import withAuthRequired from "@/lib/auth/withAuthRequired"; import { db } from "@/db"; import { generations } from "@/db/schema"; import { inngest } from "@/lib/inngest/client"; import { checkCredits, deductCredits } from "@/lib/credits"; // Hypothetical helpers export const POST = withAuthRequired(async (req, { session }) => { const body = await req.json(); // 1. Check C...