Roberto Musso
7ccdad431f
feat(i18n): inject user language into AI agent system prompts
...
- Add _language_instruction() to deep_agent.py, reads language from core memory
- Append language directive to all 4 run_* functions (task/project/checkpoint/note)
- Minor fixes: alembic env, route imports, test cleanup
2026-04-12 00:35:23 +02:00
c90ed58078
step-6: add memory models and migration (models.py, alembic)
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- User.encryption_key: per-user Fernet key generated on registration
- MemoryCore: encrypted key/value preferences
- MemoryAssociative: encrypted semantic memory + pgvector(1536) embedding
- MemoryEpisodic: encrypted session summaries
- MemoryProactive: encrypted behavioral patterns with confidence score
- Migration 004: enables pgvector extension, creates all 4 tables + ivfflat index
- auth.py register: generates Fernet key for new users
- 8 unit tests pass (SQLite in-memory, JSON embedding fallback)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-03-08 22:05:58 +01:00
