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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.
38fac89f73
Update Decision Engine for WP-25b: Enhance intent processing with robust intent cleaning and lazy loading. Improve strategy determination by validating against known strategies and streamline response generation. Bump version to 1.3.1 to reflect these optimizations.
7026fc4fed
Update components for WP-25b: Implement Lazy-Prompt-Orchestration across ingestion, decision engine, chat interface, and LLM service. Enhance prompt management with hierarchical model support and streamline response generation by removing manual formatting. Bump versions to reflect new features and optimizations.
d41da670fc
Merge pull request 'WP25a' (#20) from WP25a into main
5541ceb13d
Update LLM profiles in llm_profiles.yaml: Change models for 'synthesis_pro', 'synthesis_backup', and 'tech_expert' profiles to enhance performance and capabilities, reflecting the latest advancements in AI model offerings.
ac26cc4940
Update documentation and technical references for Mindnet v3.0.0: Revise glossary, AI personality concepts, chat backend, configuration, ingestion pipeline, and admin operations to reflect the integration of Mixture of Experts (MoE) architecture and associated features. Enhance clarity on profile-driven orchestration, fallback mechanisms, and pre-synthesis compression across components.
9b906bbabf
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.
9a98093e70
Enhance Decision Engine configuration: Add 'router_profile' setting to decision_engine.yaml and update the DecisionEngine class to utilize this profile when generating responses, improving flexibility in strategy determination.
5541ceb13d
Update LLM profiles in llm_profiles.yaml: Change models for 'synthesis_pro', 'synthesis_backup', and 'tech_expert' profiles to enhance performance and capabilities, reflecting the latest advancements in AI model offerings.
ac26cc4940
Update documentation and technical references for Mindnet v3.0.0: Revise glossary, AI personality concepts, chat backend, configuration, ingestion pipeline, and admin operations to reflect the integration of Mixture of Experts (MoE) architecture and associated features. Enhance clarity on profile-driven orchestration, fallback mechanisms, and pre-synthesis compression across components.
9b906bbabf
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.
9a98093e70
Enhance Decision Engine configuration: Add 'router_profile' setting to decision_engine.yaml and update the DecisionEngine class to utilize this profile when generating responses, improving flexibility in strategy determination.
de05784428
Update LLM profiles in llm_profiles.yaml: Change model for 'compression_fast' and 'synthesis_pro' profiles to 'mistralai/mistral-7b-instruct:free' and adjust provider for 'synthesis_pro' to 'openrouter' for improved performance.
f62983b08f
Enhance logging in LLMService: Update log messages for MoE dispatch and default provider usage, and add detailed logging before OpenRouter calls for improved traceability and debugging.