Fortytude

Audit this codebase for wasteful LLM API spend and hand back a concrete, honest fix plan — missing prompt caching, uncapped retries, prompt bloat, no batching, overpowered models. Describes technical waste and published provider rates only; never fabricates a dollar figure. Trigger on requests like "audit my LLM cost", "why is my OpenAI/Anthropic bill so high", "cut my AI API spend", or an explicit "$tokendiet".

LLM cost-waste detection knowledge — how to find and fix expensive AI API usage patterns (prompt caching, batching, retry caps, model routing, prompt bloat) in a codebase, honestly and without fabricated dollar figures.