Block a user
5e2a074019
Implement origin-based purge logic in ingestion_db.py to prevent accidental deletion of inverse edges during re-imports. Enhance logging for error handling and artifact checks. Update ingestion_processor.py to support redundancy checks and improve symmetry logic for edge generation, ensuring bidirectional graph integrity. Version bump to 3.1.2.
9b3fd7723e
Update ingestion processor to version 3.1.0: Fix bidirectional edge injection for Qdrant, streamline edge validation by removing symmetry logic from the validation step, and enhance inverse edge generation in the processing pipeline. Improve logging for symmetry creation in edge payloads.
4802eba27b
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.
745352ff3f
Update authoring guidelines in the user manual: Increment version to 1.3.0, refine principles for knowledge structuring, and introduce new H3-Hub-Pairing for enhanced clarity. Revise sections on strategic control, vault architecture, and usability features to improve documentation coherence and user experience.
13f0a0c9bc
Update authoring guidelines in the user manual: Increment version to 1.2.0, refine key principles, and enhance clarity on knowledge structuring and emotional engagement. Revise sections on strategic control, vault architecture, and usability features to improve user experience and documentation coherence.
4a404d74de
Add unit test for original format example in test_callout_edges.py: Validate extraction of related_to and derived_from edges from a specified text format, ensuring accurate parsing and edge recognition.
8ed4efaadc
Refactor graph_extractors.py: Improve callout extraction logic by enhancing regex patterns to better support nested [!edge] callouts and refining indentation handling for more accurate parsing of input text.
d17c966301
Enhance callout extraction in graph_extractors.py: Update regex to support nested [!edge] callouts and improve handling of indentation levels. This allows for more flexible parsing of callout structures in the input text.
Lars
released Feature Release - Lazy-Prompt-Orchestration & Full Resilience at Lars/mindnet
2026-01-03 15:14:05 +01:00
62a00d1ac3
Update documentation and technical references for Mindnet v3.1.1: Revise versioning across all documents to reflect the latest updates, including the integration of Lazy-Prompt-Orchestration and enhancements in AI model capabilities. Update context descriptions to clarify new features and improvements in prompt management, ingestion validation, and decision engine processes.
8505538b34
Refactor ingestion validation and decision engine error handling: Differentiate between transient and permanent validation errors in ingestion validation to improve data integrity. Enhance decision engine configuration loading with schema validation and error handling for missing keys and YAML syntax errors. Update fallback synthesis prompt handling in LLMService for improved error recovery. Add new fallback synthesis prompts to prompts.yaml for better context-based responses.
a9d0874fe9
Enhance prompt retrieval in LLMService: Implement detailed trace-logging for prompt lookup hierarchy, improving traceability of model-specific, provider, and global fallback matches. This update refines the logging mechanism to provide clearer insights during prompt resolution.
1563ebbdf9
Update Decision Engine to version 1.3.2: Implement ultra-robust intent parsing using regex, restore prepend_instruction logic, and enhance logging for configuration loading. Improve fallback mechanisms for response generation to ensure reliability.
277444ec0a
Enhance Decision Engine configuration: Add 'expert_for' setting to edge_boosts in decision_engine.yaml to improve strategy determination and flexibility.
62a00d1ac3
Update documentation and technical references for Mindnet v3.1.1: Revise versioning across all documents to reflect the latest updates, including the integration of Lazy-Prompt-Orchestration and enhancements in AI model capabilities. Update context descriptions to clarify new features and improvements in prompt management, ingestion validation, and decision engine processes.
8505538b34
Refactor ingestion validation and decision engine error handling: Differentiate between transient and permanent validation errors in ingestion validation to improve data integrity. Enhance decision engine configuration loading with schema validation and error handling for missing keys and YAML syntax errors. Update fallback synthesis prompt handling in LLMService for improved error recovery. Add new fallback synthesis prompts to prompts.yaml for better context-based responses.
a9d0874fe9
Enhance prompt retrieval in LLMService: Implement detailed trace-logging for prompt lookup hierarchy, improving traceability of model-specific, provider, and global fallback matches. This update refines the logging mechanism to provide clearer insights during prompt resolution.
1563ebbdf9
Update Decision Engine to version 1.3.2: Implement ultra-robust intent parsing using regex, restore prepend_instruction logic, and enhance logging for configuration loading. Improve fallback mechanisms for response generation to ensure reliability.