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>
5 lines
340 B
JSON
5 lines
340 B
JSON
{
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"_comment": "Fuzzy company-name aliases for IT Glue org lookup. Keys are normalized (lowercase, single-space). Values are IT Glue organization IDs (strings). Add entries here when an Autotask company name doesn't match the IT Glue organization name exactly.",
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"_example": "seubert",
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"_example_value": "REPLACE_WITH_ITGLUE_ORG_ID"
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}
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