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>
14 lines
508 B
TypeScript
14 lines
508 B
TypeScript
/**
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* Canonical model IDs for the AI Ticket Analyzer pipeline.
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*
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* Use these constants — never hardcode the strings elsewhere.
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*
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* Verify quarterly against https://docs.claude.com/en/docs/about-claude/models
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* Model IDs change rarely but pricing and capability tiers can shift.
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*/
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export const HAIKU = 'claude-haiku-4-5' as const;
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export const SONNET = 'claude-sonnet-4-6' as const;
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export const OPUS = 'claude-opus-4-7' as const;
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export type ModelId = typeof HAIKU | typeof SONNET | typeof OPUS;
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