Lars 6d268d9dfb Enhance .env loading mechanism and EdgeDTO creation with error handling ... - Updated the .env loading process to first check for an explicit path, improving reliability in different working directories. - Added logging for successful .env loading and fallback mechanisms. - Enhanced EdgeDTO creation with robust error handling, including fallbacks for unsupported provenance values and logging of errors for better traceability.		2026-01-12 15:27:23 +01:00
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core	Enhance .env loading mechanism and EdgeDTO creation with error handling	2026-01-12 15:27:23 +01:00
frontend	bug fix	2025-12-29 11:00:00 +01:00
models	Update EdgeDTO to support extended provenance values and modify explanation building in retriever.py to accommodate new provenance types. This enhances the handling of edge data for improved accuracy in retrieval processes.	2026-01-11 17:54:33 +01:00
routers	Integrate symmetric edge logic and discovery API: Update ingestion processor and validation to support automatic inverse edge generation. Enhance edge registry for dual vocabulary and schema management. Introduce new discovery endpoint for proactive edge suggestions, improving graph topology and edge validation processes.	2026-01-09 13:57:10 +01:00
services	Update type_registry, graph_utils, ingestion_note_payload, and discovery services for dynamic edge handling: Integrate EdgeRegistry for improved edge defaults and topology management (WP-24c). Enhance type loading and edge resolution logic to ensure backward compatibility while transitioning to a more robust architecture. Version bumps to 1.1.0 for type_registry, 1.1.0 for graph_utils, 2.5.0 for ingestion_note_payload, and 1.1.0 for discovery service.	2026-01-09 15:20:12 +01:00
__init__.py	code header	2025-12-15 15:40:39 +01:00
config.py	Enhance .env loading mechanism and EdgeDTO creation with error handling	2026-01-12 15:27:23 +01:00
embeddings.py	wiederhergstellt	2025-12-15 15:45:36 +01:00
main.py	Update FastAPI application and related services for WP-25a: Enhance lifespan management with Mixture of Experts (MoE) integrity checks, improve logging and error handling in LLMService, and integrate profile-driven orchestration across components. Bump versions for main application, ingestion services, and LLM profiles to reflect new features and optimizations.	2026-01-02 08:57:29 +01:00