https://largelifttrucks.com/component---src-pages-test-chat-token-forecaster-tsx-c145199bcb0d68434c08.js

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The algorithm uses observed cumulative averages for turns 1-10, then extrapolates beyond using growth patterns. Input tokens use polynomial growth with acceleration, reflecting context accumulation. Output and reasoning tokens use linear extrapolation (on Vertex, reasoning is priced at the output rate; production chat uses lower thinking levels on lightweight models to limit reasoning-token growth). Cached read tokens follow a percentage-based approach maintaining the observed cache hit rate. Base values and growth factors were calibrated from the averaged observed logs. 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