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
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286 B
JSON
14 lines
No EOL
286 B
JSON
{
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"ticket_id": 680282,
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"ticket_number": "T20260424.0045",
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"counts": {
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"live_notes": 9,
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"db_notes": 9,
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"live_time_entries": 5,
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"db_time_entries": 5
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},
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"notes_only_in_live": [],
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"notes_only_in_db": [],
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"entries_only_in_live": [],
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"entries_only_in_db": []
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} |