lorentz
8f8b5ab7be
Multi-stage LLM pipeline that produces structured analyses of Autotask tickets from local Postgres. Migration 069 + Zod schemas, Stage 0 preprocessor, IT Glue redaction + search, Anthropic SDK wrapper, Stages 1/3/4 (Haiku/Sonnet/Opus), pipeline + cost circuit breaker, job worker (opt-in autostart), 6 API routes, 3 frontend pages, share-row persistence (email send deferred to phase 7). 128 vitest tests, tsc clean. Build journal in docs/wulf-pulse-ticket-analyzer-build-notes.md. Sync: adds syncTicketNotes() + ticket_notes to ordered/date-filtered entities so the analyzer's local mirror stays current via scheduler. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
52 lines
1.9 KiB
TypeScript
52 lines
1.9 KiB
TypeScript
/**
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* Per-model token pricing for cost estimation in analyzer_analyses.estimated_cost_usd.
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*
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* Rates are USD per 1,000,000 tokens.
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*
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* VERIFY QUARTERLY against https://docs.claude.com/en/docs/about-claude/pricing
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* Last verified: 2026-04-15
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*/
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import { HAIKU, SONNET, OPUS, type ModelId } from './models';
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interface ModelRate {
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/** USD per 1M input tokens */
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input: number;
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/** USD per 1M output tokens */
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output: number;
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/** USD per 1M tokens read from prompt cache (~0.1× input) */
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cacheRead: number;
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/** USD per 1M tokens written to 5-minute prompt cache (~1.25× input) */
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cacheWrite5m: number;
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}
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export const PRICING: Record<ModelId, ModelRate> = {
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[HAIKU]: { input: 1.0, output: 5.0, cacheRead: 0.1, cacheWrite5m: 1.25 },
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[SONNET]: { input: 3.0, output: 15.0, cacheRead: 0.3, cacheWrite5m: 3.75 },
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[OPUS]: { input: 5.0, output: 25.0, cacheRead: 0.5, cacheWrite5m: 6.25 },
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};
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export interface TokenUsage {
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input_tokens: number;
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output_tokens: number;
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cache_creation_input_tokens?: number;
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cache_read_input_tokens?: number;
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}
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/**
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* USD cost of a single LLM call given its token usage. Caches are billed
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* separately from raw input tokens — cache_read at ~0.1×, cache_write at ~1.25×.
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*/
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export function estimateCostUsd(model: ModelId, usage: TokenUsage): number {
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const rate = PRICING[model];
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const cacheRead = usage.cache_read_input_tokens ?? 0;
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const cacheWrite = usage.cache_creation_input_tokens ?? 0;
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const uncachedInput = usage.input_tokens; // SDK reports this as the uncached remainder
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const cost =
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(uncachedInput / 1_000_000) * rate.input +
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(usage.output_tokens / 1_000_000) * rate.output +
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(cacheRead / 1_000_000) * rate.cacheRead +
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(cacheWrite / 1_000_000) * rate.cacheWrite5m;
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// Round to 4 decimals (matches analyzer_analyses.estimated_cost_usd numeric(10,4)).
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return Math.round(cost * 10_000) / 10_000;
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}
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