deepgram-cost-tuning
Installation
SKILL.md
Deepgram Cost Tuning
Prerequisites
- An aggregate usage/cost baseline, approved budget owner, delivery/quality SLO, and data/retention policy.
- Synthetic fixtures and a reversible optimization/change record.
Examples
Compare aggregate duration, model, concurrency, and error data in a development/staging workload, change one approved model or batching parameter, and observe the quality/latency/cost tradeoff. Revert if quality or reliability drops; do not reduce retention, privacy, or consent safeguards merely to lower spend.
Overview
Optimize Deepgram API costs through smart model selection, audio preprocessing to reduce billable minutes, usage monitoring via the Deepgram API, budget guardrails, and feature-aware cost estimation. Deepgram bills per audio minute processed.