- Replace Whisper subprocess calls with direct qwen3_asr_toolkit API
- Remove subprocess dependencies, use pure Python API
- Update to use DASHSCOPE_API_KEY instead of WHISPER_MODEL
- Cleaner code without CLI calls
- Better Ukrainian language recognition quality
- Add STT service with Whisper support (faster-whisper, whisper CLI, OpenAI API)
- Update Gateway to handle Telegram voice/audio/video_note messages
- Add STT service to docker-compose.yml
- Gateway now converts voice → text → DAGI Router → text response
- Remove all FK constraints from models (users, teams, channels, agents)
- Keep fields as optional nullable String for testing DAARWIZZ
- Update SQL migration to remove all REFERENCES
- Fix metadata -> meta in migration
- Allows service to work without base tables for testing
- Remove FK constraint from UserFact.team_id (teams table may not exist)
- Update SQL migration to remove FK constraint
- team_id remains optional String field without FK
- Fix DialogSummary.metadata -> DialogSummary.meta
- Fix AgentMemoryFactsVector.metadata -> AgentMemoryFactsVector.meta
- All metadata fields now renamed to meta
- Rename metadata to meta in all models (UserFact, DialogSummary, AgentMemoryFactsVector)
- Update schemas to use meta instead of metadata
- Update SQL migration to use meta column name
- Fixes SQLAlchemy reserved name conflict
- Add memory-service as a service (not under networks:)
- Create Dockerfile for memory-service
- Configure depends_on city-db with healthcheck condition
- Set DATABASE_URL to connect to city-db
- Move models.py, schemas.py, crud.py, main.py to app/
- Update imports to use app.* prefix
- Update README with new structure
- Fix uvicorn run command for new structure
- Fixed Gateway to extract response from data.text field
- GPU working: RTX 4000 Ada, response time 7-10s (was 30-40s)
- DAARWIZZ now responds correctly with full personality
- Started Memory Service structure
