Does this work with all Ideogram subscription tiers?

Yes, it includes logic for Free, Pro, and Enterprise tiers, allowing the monitor to adjust behavior based on your specific requests-per-minute and daily limits.

Can I prevent duplicate image generation requests?

Yes, the skill provides a pattern for generating deterministic idempotency keys based on operation parameters to ensure retries don't result in duplicate charges.

What is the benefit of using jitter in the retry logic?

Jitter adds randomness to the backoff delay, preventing multiple concurrent failing requests from retrying at the exact same millisecond and overwhelming the API server.

How does this skill handle Ideogram 429 errors?

It implements an exponential backoff strategy with jitter, automatically retrying requests after a calculated delay to respect specific API tier limits.

Ideogram Rate Limit Manager

Name: Ideogram Rate Limit Manager
Author: Brmbobo

byBrmbobo

API 개발

Manages Ideogram API rate limits through exponential backoff, jitter, and idempotency patterns to ensure reliable image generation workflows.

소개

The Ideogram Rate Limit Manager is a specialized Claude Code skill designed to optimize interactions with the Ideogram API by gracefully handling 429 errors and request throttling. It provides standardized implementations for exponential backoff with jitter to prevent 'thundering herd' issues, manages idempotency keys to avoid duplicate requests and unnecessary costs, and includes tools for monitoring rate limit headers in real-time. This skill is essential for developers building production-grade applications that rely on Ideogram for high-volume image generation, ensuring maximum throughput while maintaining system stability across different account tiers.

주요 기능

Exponential backoff with randomized jitter for retry logic
0 GitHub stars
Queue-based request throttling with p-queue integration
Deterministic idempotency key generation to prevent duplicates
Pre-configured rate limit tiers for Free, Pro, and Enterprise plans
Real-time header monitoring for X-RateLimit tracking

사용 사례

Preventing duplicate API billing through idempotent request patterns
Building resilient background workers for bulk image processing tasks
Scaling AI image generation in SaaS applications without hitting hard limits

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brmbobo/web2podcast ideogram-rate-limits

For use in Claude.ai and ChatGPT

Download Skill

GitHub

소개