remove unused reserved_jsonb fields
Remove the three reserved JSONB fields (reserved_jsonb_1, reserved_jsonb_2, reserved_jsonb_3) from the llm_model_configs
table. These fields were planned for future use but are no longer needed.
- Change `JSONB` columns to generic `JSON` in LLMModelConfig model for database compatibility
- Update migration to use `sa.String(32)` for UUID and `sa.JSON()` for config fields
- Remove PostgreSQL dialect imports to support multiple database backends
- Keep existing constraints and indexes with PostgreSQL-specific annotations where needed
The migration file `20260303_create_llm_model_configs_table.py` had an incorrect `down_revision` reference. Changed from `7ceeddd9c9a8` to `98083573d011` to properly link to the previous migration in the Alembic history. This ensures the migration chain is consistent and rollbacks work as expected.
Replace deferred UniqueConstraints with partial unique indexes for user and group default configurations in the LLM model configs table. This change improves performance and ensures at most one default config per user/group while maintaining data integrity. The migration script has been updated accordingly to create and drop the new indexes.
- Add `model_type` field to database schema with supported values (text, vision, stt, tts, multimodal, embedding, reranking, other)
- Add `name` field as table-level column for indexing and filtering
- Add reserved JSONB fields for future extensibility
- Update API request/response schemas to include `model_type` and `name` fields
- Add new `LLMModelConfigWithSource` schema for detailed configuration responses
- Update usage examples to reflect new required fields
- Improve database constraints and indexing documentation
- Include `version` field in all LLM model config response schemas
- Add `expected_version` parameter to update endpoints for optimistic locking
- Handle concurrent modification errors with HTTP 409 Conflict status
- Update both user and group config endpoints consistently
- Add smarter database state detection during initialization to handle new databases, existing databases with new features, and old databases needing migration
- Make migration for llm_model_configs table idempotent to prevent conflicts when table already exists from code
- Add detailed logging for different database initialization scenarios
- Import sqlalchemy module for database inspection capabilities
- Introduce new API route `/access` for managing LLM model configurations
- Add LLMModelConfig model to database models
- Include comprehensive schemas for LLM model config CRUD operations
- Register new router with tags for LLM Model Configurations
