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Develop LLM-Powered Template Auto-Fill System #108

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opened 2025-10-03 22:27:15 +00:00 by tegwick · 0 comments
tegwick commented 2025-10-03 22:27:15 +00:00
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Priority: MEDIUM | Effort: 4 days | Dependencies: OpenRouter Client, Template Field Analysis, Profile Management

User Story

As a user, I want templates to be automatically filled with appropriate values based on my profile and the template context using AI assistance so that I can complete forms quickly and accurately.

Description

Create an intelligent auto-fill system that uses OpenRouter LLMs to suggest field values based on user profiles, template context, and learned preferences.

Technical Implementation

  • New Files: markitect/template/auto_filler.py, markitect/template/smart_suggestions.py, tests/test_template_auto_filler.py

Acceptance Criteria

  • LLMAutoFiller class with context-aware suggestions
  • Integration with user profile data for personalization
  • Smart field completion based on template purpose
  • Learning from user corrections and preferences
  • Support for complex field generation (descriptions, summaries)
  • Confidence scoring for suggestions
  • Fallback mechanisms when LLM is unavailable
  • Tests with mock LLM responses and profiles

Related Issues

Core AI functionality for Issue #99 (Auto Fill Templates).

**Priority**: MEDIUM | **Effort**: 4 days | **Dependencies**: OpenRouter Client, Template Field Analysis, Profile Management ## User Story As a user, I want templates to be automatically filled with appropriate values based on my profile and the template context using AI assistance so that I can complete forms quickly and accurately. ## Description Create an intelligent auto-fill system that uses OpenRouter LLMs to suggest field values based on user profiles, template context, and learned preferences. ## Technical Implementation - **New Files**: markitect/template/auto_filler.py, markitect/template/smart_suggestions.py, tests/test_template_auto_filler.py ## Acceptance Criteria - [ ] LLMAutoFiller class with context-aware suggestions - [ ] Integration with user profile data for personalization - [ ] Smart field completion based on template purpose - [ ] Learning from user corrections and preferences - [ ] Support for complex field generation (descriptions, summaries) - [ ] Confidence scoring for suggestions - [ ] Fallback mechanisms when LLM is unavailable - [ ] Tests with mock LLM responses and profiles ## Related Issues Core AI functionality for Issue #99 (Auto Fill Templates).
tegwick added the priority:mediumtype:feature labels 2025-10-03 22:27:15 +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#108
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