token-budgeting

What problem does it solve?

This Skill helps manage and reduce the costs associated with using AI models, particularly Large Language Models (LLMs), by focusing on efficient token usage and strategic planning.

Core Features & Use Cases

• Cost Estimation: Accurately estimate AI/ML costs based on token usage, model pricing, and usage patterns.
• Optimization Strategies: Implement techniques like context window management, prompt caching, batch processing, and model selection to minimize expenses.
• Budget Planning: Provides templates and guidance for creating comprehensive token budgets and cost projections.
• Use Case: A development team is building a new AI-powered feature and needs to estimate the monthly operational cost. They can use this Skill to input their expected usage, select a model, and get a projected cost, along with recommendations for optimizing that cost.

Quick Start

Use the token-budgeting skill to estimate the cost of running a GPT-4o model with 10,000 input tokens and 2,000 output tokens.