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Search Cost-Monitoring , found 6 results

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Exa Cost Optimization Guide

exa-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through reducing Exa AI search API bills by adding query caching, picking cost-effective search types, limiting result counts, deduplicating batch queries, and monitoring budget and usage alerts.

Ideogram Cost Tuning

ideogram-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides selection of Ideogram models, resolutions, caching, batching, and monitoring to lower per-image credits while maintaining quality; ideal for billing analysis or budget-aware teams using Ideogram image generation.

Mistral Cost Tuning

mistral-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Optimizes Mistral AI spending by selecting models per task, estimating token costs, enforcing daily/monthly budgets, monitoring usage, and tightening prompts—ideal for teams watching billing, cutting API spend, and triggering budget alerts.

Perplexity Cost Tuning

perplexity-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Optimize Perplexity AI search billing by routing queries to the right model, caching responses, limiting token output, filtering domains, and monitoring usage so your API spend stays predictable.

Retell AI Cost Tuning

retellai-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through analyzing Retell AI billing, tuning call durations, choosing cheaper voice models, and monitoring usage so they can reduce minute-based voice-agent costs and set budget alerts.

Production ML Engineering Guide

senior-ml-engineer

alirezarezvani/claude-skills

Guides ML engineers through deploying models, building MLOps pipelines, integrating LLMs, implementing RAG systems, and monitoring drift while emphasizing production readiness, cost control, and operational reliability.

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