LLM Cost Guardv1.0.0

A startup uses multiple OpenAI and Anthropic models for its AI-powered customer support. The LLM Cost Guard skill tracks real-time token usage and costs, setting strict daily and monthly budgets to prevent surprise bills, and alerts the team when 80% of the budget is consumed.

A homelab enthusiast runs several OpenClaw agents for automation tasks, each with its own API key. This skill assigns per-user daily limits to each agent, ensuring no single agent consumes the entire budget, and provides a daily report via WhatsApp for monitoring.

A chatbot platform serves multiple business clients, offering a free tier with limited daily usage. The skill enforces per-user daily quotas, returning a 429 error with a friendly message when a user exceeds their free allowance, and optionally upgrades to a paid tier.

An AI development agency needs to audit monthly spending across various projects and models to bill clients accurately. The skill's report command with period option provides a detailed breakdown by user, model, and day, simplifying cost allocation and client invoicing.

A university AI lab provides API access to students for projects, with a strict budget per semester. The skill sets a monthly cost limit and per-user daily limits, preventing overuse while allowing students to learn without unexpected costs.

Offer a free tier with a daily token limit (e.g., $0.50/day) and paid tiers with higher limits. LLM Cost Guard enforces these limits, and users are automatically blocked or prompted to upgrade when they exceed their quota.

Provide an API proxy that logs all LLM calls and uses LLM Cost Guard to track usage. Charge customers per token or per API call, with the skill ensuring no usage goes unrecorded or unbilled.

Use LLM Cost Guard's reports and budget alerts to analyze clients' LLM spend and identify savings opportunities, such as switching to cheaper models or optimizing prompt lengths. Charge a consulting fee for the analysis and ongoing monitoring.