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59 lines
2.5 KiB
JavaScript
59 lines
2.5 KiB
JavaScript
// _prices.mjs — single source of truth for cost-tracker model pricing.
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//
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// Iter 31 of ADR-149 router work consolidated 5 scripts' worth of pricing
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// into one module. This is the cost-tracker plugin equivalent: track.mjs
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// and counterfactual.mjs both maintained identical PRICING tables, and
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// bench.mjs has its own ANTHROPIC_PRICING. When pricing changes, drift
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// across scripts is the failure mode. One module prevents that.
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//
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// Underscore-prefix filename signals "library, not a CLI entry" — smoke.sh
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// uses `scripts/*.mjs` for the CLI surface check, but reaches this file
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// only through the `parses cleanly` step (still valid).
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// USD per 1M tokens. Kept in sync with REFERENCE.md "Model pricing" table.
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// Source of truth for: track.mjs (session cost computation),
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// counterfactual.mjs (multi-baseline analysis), bench.mjs (anthropic baseline).
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export const PRICING = {
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haiku: { input: 0.25, output: 1.25, cache_write: 0.30, cache_read: 0.03 },
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sonnet: { input: 3.00, output: 15.00, cache_write: 3.75, cache_read: 0.30 },
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opus: { input: 15.00, output: 75.00, cache_write: 18.75, cache_read: 1.50 },
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};
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/** Map a model id to one of `haiku | sonnet | opus | unknown`. */
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export function modelTier(model) {
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if (!model) return 'unknown';
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const m = String(model).toLowerCase();
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if (m.includes('haiku')) return 'haiku';
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if (m.includes('sonnet')) return 'sonnet';
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if (m.includes('opus')) return 'opus';
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return 'unknown';
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}
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/**
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* Compute USD cost for a usage record at a given tier.
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* usage: { input_tokens, output_tokens, cache_creation_input_tokens, cache_read_input_tokens }
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*/
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export function costForUsage(tier, usage) {
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const p = PRICING[tier];
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if (!p || !usage) return 0;
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return (usage.input_tokens || 0) / 1e6 * p.input
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+ (usage.output_tokens || 0) / 1e6 * p.output
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+ (usage.cache_creation_input_tokens || 0) / 1e6 * p.cache_write
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+ (usage.cache_read_input_tokens || 0) / 1e6 * p.cache_read;
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}
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/**
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* Compute USD cost for a tokens-bundle (totals already summed) at a given tier.
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* tokens: { input, output, cache_write, cache_read }
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* Used by counterfactual analysis where tokens are aggregated across models
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* before applying a single baseline tier's pricing.
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*/
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export function costAtTier(tokens, tier) {
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const p = PRICING[tier];
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if (!p) return 0;
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return (tokens.input / 1e6) * p.input
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+ (tokens.output / 1e6) * p.output
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+ (tokens.cache_write / 1e6) * p.cache_write
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+ (tokens.cache_read / 1e6) * p.cache_read;
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}
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