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Enhance Natural Language Paradigm with Real LLM Integration #103

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opened 2025-10-03 22:26:36 +00:00 by tegwick · 0 comments
tegwick commented 2025-10-03 22:26:36 +00:00
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Priority: MEDIUM | Effort: 2 days | Dependencies: OpenRouter Client, Context Builder

User Story

As a user, I want to ask natural language questions about my content and receive intelligent, contextual responses from actual LLMs rather than mock responses.

Description

Upgrade the existing Natural Language Query Paradigm to use real OpenRouter LLM integration, replacing the current translation-based approach with context-aware LLM processing.

Technical Implementation

  • Modified Files: markitect/query_paradigms/paradigms/natural_language_paradigm.py, tests/test_natural_language_paradigm.py

Acceptance Criteria

  • Replace query translation with direct LLM processing
  • Context injection from MarkiTect content
  • Source citations in LLM responses
  • Support for follow-up questions and conversations
  • Response formatting with markdown support
  • Error handling for LLM API failures
  • Integration with existing paradigm registry
  • Comprehensive tests with mock LLM responses

Related Issues

Implements core functionality for Issue #98 (OpenRoute Integration).

**Priority**: MEDIUM | **Effort**: 2 days | **Dependencies**: OpenRouter Client, Context Builder ## User Story As a user, I want to ask natural language questions about my content and receive intelligent, contextual responses from actual LLMs rather than mock responses. ## Description Upgrade the existing Natural Language Query Paradigm to use real OpenRouter LLM integration, replacing the current translation-based approach with context-aware LLM processing. ## Technical Implementation - **Modified Files**: markitect/query_paradigms/paradigms/natural_language_paradigm.py, tests/test_natural_language_paradigm.py ## Acceptance Criteria - [ ] Replace query translation with direct LLM processing - [ ] Context injection from MarkiTect content - [ ] Source citations in LLM responses - [ ] Support for follow-up questions and conversations - [ ] Response formatting with markdown support - [ ] Error handling for LLM API failures - [ ] Integration with existing paradigm registry - [ ] Comprehensive tests with mock LLM responses ## Related Issues Implements core functionality for Issue #98 (OpenRoute Integration).
tegwick added the type:featurepriority:medium labels 2025-10-03 22:26:36 +00:00
tegwick added this to the LLM Chat and Agent Assistance project 2025-10-03 22:28:30 +00:00
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Reference: coulomb/markitect-main#103
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