Security Enhancement:
- API keys are now always filtered to null in all LLM config API responses
- Created LLMModelConfigDataWithoutSecret schema for response validation
- Added _filter_api_key_from_config() helper in API routes
- Modified repository to always hide api_key in get_user_effective_configs()
- Update/create operations still accept and store api_key securely
Documentation Updates:
- Updated API key visibility section to reflect new security policy
- Updated all response examples to show api_key as null
- Marked max_tokens field as reserved for future use
- Added "Reserved Fields" section explaining unused fields
This defense-in-depth approach prevents API keys from being leaked through
logs, browser devtools, or network monitoring.
Updated documentation and implementation to clearly define the priority order for selecting default LLM model configurations. The logic now explicitly states:
1. User's config marked with `is_default: true` (highest priority)
2. Group's config marked with `is_default: true`
3. First config in the list (user configs come before group configs)
This ensures consistent behavior between the API documentation and the actual implementation in the repository code.
Update API documentation to reflect new nested `config` object structure in LLM model configurations endpoints. The response format now encapsulates provider-specific fields (provider, base_url, model, temperature, api_key, max_tokens) within a `config` object, while moving ownership metadata (user_id, group_id, is_default, version, created_at, updated_at) to the top level. This aligns the user-facing endpoints with the group configuration structure and improves API consistency.
- Update API documentation to explicitly describe default configuration selection logic
- Add fallback behavior in repository to use first config when no default is marked
- Clarify difference between `/default` endpoint and `default_config` field
- Document that `default_config` is never null when configs list is not empty
- Add `/default` endpoints for users and groups to retrieve default LLM model configurations
- Update documentation to clarify that users receive both own and inherited configurations
- Improve response examples to show combined configs with source field
- Add 404 response example for missing default configurations
- Fix optimistic locking documentation formatting
Add explicit datetime.utcnow() assignments for created_at and updated_at fields in LLMModelConfigsRepository to ensure proper timestamp handling with SQLite. This addresses issues where SQLite may not automatically populate these timestamp fields during create and update operations. Changes applied to both user and group configuration methods for consistency.
- 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
- 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
