ai-cost-optimizer

To reduce AI API costs without impacting service quality, you can apply prompt compression and provider fallback routing. This approach directs requests to cheaper providers and compresses prompts, cutting expenses while maintaining output standards.

Caveman compression is a prompt optimization technique that reduces token usage in AI API requests. By compressing prompts for efficiency, it directly lowers the volume of tokens processed, resulting in significant cost savings on API usage.

You can audit AI spend across multiple providers and tokens by executing a cost audit command. This analyzes current expenses across providers, prompts, and token usage to identify inefficiencies and generate actionable savings reports.

The best way to route AI API requests to the cheapest provider is by using provider fallback routing. This strategy automatically directs requests to the most cost-effective available provider while maintaining fallbacks for reliability.

Yes, you can generate a savings report detailing your AI API spending. The report tracks savings targets and achievements by analyzing your cost audit data, showing exactly where expenses were reduced through compression and routing.