ideogram-webhooks-events

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Build event-driven workflows around Ideogram's synchronous API. Use when implementing async generation queues, batch processing, callback patterns, or image processing pipelines. Trigger with phrases like "ideogram webhook", "ideogram events", "ideogram async", "ideogram queue", "ideogram batch pipeline".

AI & Automation 2,266 stars 315 forks Updated today MIT

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Skill Content

# Ideogram Events & Async Patterns ## Overview Ideogram's API is synchronous -- each call blocks until the image is generated (5-15 seconds). For production applications, wrap it in async patterns: job queues for batch generation, callbacks for downstream processing, and pipelines for image post-processing. This skill covers BullMQ queue patterns, callback handlers, and asset processing pipelines. ## Prerequisites - `IDEOGRAM_API_KEY` configured - Redis for BullMQ job queue - Storage for generated images (S3, GCS, or R2) - Understanding of Ideogram models and style types ## Instructions ### Step 1: Job Queue for Async Generation ```typescript import { Queue, Worker } from "bullmq"; import { writeFileSync, mkdirSync } from "fs"; import { join } from "path"; interface GenerationJob { prompt: string; style: string; aspectRatio: string; model: string; callbackUrl?: string; metadata?: Record<string, string>; } const connection = { host: "localhost", port: 6379 }; const imageQueue = new Queue("ideogram-generation", { connection }); // Enqueue a generation job async function submitGeneration(job: GenerationJob) { return imageQueue.add("generate", job, { attempts: 3, backoff: { type: "exponential", delay: 2000 }, removeOnComplete: 100, removeOnFail: 50, }); } // Worker processes jobs with concurrency limit const worker = new Worker("ideogram-generation", async (job) => { const { prompt, style, aspectRatio, model, callbackUrl, metadata } = job...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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