ai-cost-controls-and-caching

What problem does it solve?

This Skill addresses the need to manage and reduce the operational costs associated with AI module usage by implementing effective rate limiting, token budget enforcement, and response caching mechanisms.

Core Features & Use Cases

• Rate Limiting: Implements HTTP-level rate limiting using @nestjs/throttler to prevent abuse and manage traffic.
• Token Budget Enforcement: Tracks and enforces per-request and per-user token usage to stay within defined limits.
• Response Caching: Caches AI responses based on user, tool, and parameters to avoid redundant LLM calls and associated costs.
• Use Case: When developing a new AI-powered feature, this skill ensures that API usage is controlled, preventing unexpected cost overruns and maintaining a smooth user experience by caching frequent requests.

Quick Start

Implement rate limiting for the AI module using @nestjs/throttler with per-user and global limits.