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feat: canonical intent taxonomy for AI operator (kb_answer -> intent_code)

Centralizes fixed control intents and adds a data-driven intent_code
field on kb_articles so many phrasings of the same FAQ question
resolve to one stable code (e.g. VOUCHER_ACTIVATION) instead of a
free-form, unvalidated string the LLM invented on the fly.

- services/shared/intents.py: CONTROL_INTENTS + normalize_intent()
- kb_articles.intent_code column (ORM + dev/sqlite runtime compat +
  migrations/sql/0034_* for postgres/sqlite)
- kb_service CRUD exposes intent_code
- orchestrator surfaces intent_code to the LLM and validates its
  intent output against control intents + the KB codes shown that turn
- voice.py: _voice_early_intent_bucket renamed to _voice_ack_topic_bucket
  to stop it being conflated with the canonical FAQ intent

2026-08-31 00:17:51 +05:00

sql

feat: canonical intent taxonomy for AI operator (kb_answer -> intent_code)

2026-08-31 00:17:51 +05:00

README.md

Initial import with GitLab CI/CD and registry deploy flow

2026-04-02 17:05:45 +05:00

README.md

Core DB Migrations

This folder contains SQL migrations for core MVP services:

auth-service
customer-service
interaction-service
routing-service

Files

sql/0001_core_sqlite.sql
sql/0001_core_postgres.sql
sql/0002_stage3_sqlite.sql
sql/0002_stage3_postgres.sql

Apply

python scripts/migrate_core_db.py

The runner:

detects dialect from DATABASE_URL
applies all *_{dialect}.sql migrations in order
tracks applied files in schema_migrations