Playbook: Cut LLM costs without quality collapse

Journey Steps

1. 1Step 1 — Control LLM spend without killing quality: start with "Tag every request with feature and tenant for per-unit cost attribution"
2. 2Step 2 — Guarantee structured outputs from LLMs: start with "Provide the JSON Schema in the prompt and ask for schema-valid output only"
3. 3Step 3 — Budget LLM latency end to end: start with "Trace one real request through every hop and record percentile timings"
4. 4How it fits together: Instrument first. Every routing/caching decision needs per-unit cost visibility or you're flying blind.

Commands

$ npx skills add aniruddhaadak80/skills --skill inference-mlops-llm-cost-controls && npx skills add aniruddhaadak80/skills --skill prompt-engineering-structured-output && npx skills add aniruddhaadak80/skills --skill inference-mlops-latency-budgeting

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