openevidence-cost-tuning

Solid

Cost Tuning for OpenEvidence. Trigger: "openevidence cost tuning".

AI & Automation 2,266 stars 315 forks Updated today MIT

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Skill Content

# OpenEvidence Cost Tuning ## Optimization Strategies 1. Cache frequent API calls 2. Batch requests where possible 3. Use appropriate API tier 4. Monitor usage dashboards ## Usage Tracking ```typescript let totalCalls = 0; async function tracked(fn: () => Promise<any>) { totalCalls++; console.log(`OpenEvidence API calls today: ${totalCalls}`); return fn(); } ``` ## Resources - [OpenEvidence Pricing](https://www.openevidence.com) ## Next Steps See `openevidence-reference-architecture`.

Details

Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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