TokenPilot sits between your app and every AI provider. It routes each call to the cheapest model that meets your quality bar, automatically. No config. No dashboards. Just lower bills.
One line of code. TokenPilot handles the rest.
Swap your OpenAI base URL to TokenPilot's endpoint. That's the only change. Your code stays exactly the same.
TokenPilot analyzes each request: complexity, latency needs, quality requirements. It builds a cost profile of your usage patterns.
Simple queries route to cheaper models. Responses get cached. Prompts get compressed. Your bill shrinks every week without touching a thing.
Every API call is evaluated in real-time. A customer support summary doesn't need GPT-5. TokenPilot picks the cheapest model that delivers the quality you need.
Identical or near-identical prompts get served from cache. Semantic matching catches paraphrased requests too. Saves 15-30% on repeat-heavy workloads.
Long system prompts and few-shot examples get compressed before they hit the provider. Same output quality, fewer input tokens billed.
Every morning you get a breakdown: spend by team, by feature, by model. Anomaly alerts when something spikes. Full visibility, zero setup.
Every dollar saved on inference is a dollar invested in building. TokenPilot makes that happen without asking you to change how you work.