Lars f2a2f4d2df Refine LLM validation zone handling in graph_derive_edges.py ... Enhance the extraction logic to store the zone status before header updates, ensuring accurate context during callout processing. Initialize the all_chunk_callout_keys set prior to its usage to prevent potential UnboundLocalError. These improvements contribute to more reliable edge construction and better handling of LLM validation zones.		2026-01-11 21:09:07 +01:00
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core	Refine LLM validation zone handling in graph_derive_edges.py	2026-01-11 21:09:07 +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	anpassung an variable Kontextgrenzen für Ollama	2025-12-26 11:15:13 +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