Keysat
59 lines
2.6 KiB
JavaScript
59 lines
2.6 KiB
JavaScript
// Gemini per-1M-token pricing in USD. Used by the relay to compute
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// per-call API costs as audit-log entries are written. Operator can
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// update this table by editing the file and redeploying when Google
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// changes published rates — preferable to a config field because
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// (a) prices are stable for months at a time, (b) hardcoding keeps
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// the audit log self-contained without a config-snapshot copy at
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// write time.
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//
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// Rates as of mid-2026. ALWAYS verify against the current Google AI
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// Studio pricing page before relying on these for billing-grade
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// margin math — Google has been known to adjust prices ~quarterly.
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export const GEMINI_PRICING = {
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// The five supported models, verified against Google's official
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// docs (ai.google.dev/gemini-api/docs/models) on 2026-05-12.
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// Retired model IDs (gemini-3-pro-preview shut down 2026-03-09,
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// gemini-2.0-flash deprecated) intentionally omitted — they should
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// never appear in cost calc here for current calls.
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// Pro tier — best for analysis.
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"gemini-3.1-pro-preview": { input: 5.0, output: 25.0, thinking: 25.0 },
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"gemini-2.5-pro": { input: 1.25, output: 10.0, thinking: 10.0 },
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// Flash tier — best speed/cost for transcription + cheap analysis.
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"gemini-3-flash-preview": { input: 0.3, output: 2.5, thinking: 2.5 },
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"gemini-2.5-flash": { input: 0.3, output: 2.5, thinking: 2.5 },
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"gemini-3.1-flash-lite": { input: 0.1, output: 0.4, thinking: 0.4 },
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// Fallback used when an unknown model id appears (e.g. operator
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// typed a custom model name in setBackendRouting). Conservative —
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// priced like Flash so cost estimates skew low rather than 0.
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default: { input: 0.3, output: 2.5, thinking: 2.5 },
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};
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// Compute cost for a Gemini API call given its model + usageMetadata
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// (the shape @google/genai returns: promptTokenCount,
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// candidatesTokenCount, thoughtsTokenCount). Returns:
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// { input_tokens, output_tokens, thinking_tokens, cost_usd }
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export function calcGeminiCost(model, usage) {
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const rates = GEMINI_PRICING[model] || GEMINI_PRICING.default;
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const inputTokens = usage?.promptTokenCount || 0;
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const outputTokens = usage?.candidatesTokenCount || 0;
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const thinkingTokens = usage?.thoughtsTokenCount || 0;
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const costUSD =
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(inputTokens / 1_000_000) * rates.input +
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(outputTokens / 1_000_000) * rates.output +
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(thinkingTokens / 1_000_000) * (rates.thinking ?? rates.output);
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return {
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input_tokens: inputTokens,
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output_tokens: outputTokens,
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thinking_tokens: thinkingTokens,
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cost_usd: costUSD,
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};
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}
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export function listKnownModels() {
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return Object.keys(GEMINI_PRICING).filter((k) => k !== "default");
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}
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