Add Auto-Labeling Feature for Issues with User Guidance

[skyl]

Problem Description

The current corpora plan issue command does not support auto-labeling of issues, which can streamline issue management and categorization. This feature is essential for improving workflow efficiency and accuracy in issue tracking.

Goals

1. Enhance Auto-Labeling: Integrate auto-labeling capability into the corpora plan issue command to facilitate automatic label assignment during issue creation.
2. Standalone Labeling Command: Introduce a new CLI command (plan label_issue) to apply auto-labeling to existing issues.
3. User Guidance for Labeling: Allow users to guide the auto-labeling process by providing context that reflects their preferred labeling schemes.

Context

• The feature should leverage .corpora/LABELS.md or equivalent file as guidance for context injection into the LLM to tailor auto-labeling to the corpus's specific needs.
• This approach fosters flexibility, adapting to various organizational labeling standards and preferences.

Implementation Considerations

1. LLM Context Injection: Develop a mechanism to utilize .corpora/LABELS.md for guiding LLM-driven labeling processes, ensuring labels reflect the user's preferred scheme.
2. CLI Enhancements: Modify existing CLI commands and introduce new ones to support auto-labeling actions both during issue creation and for existing issues.
3. Flexibility: Ensure the auto-labeling system can adapt to diverse corpus types and labeling philosophies.

References

• Existing issue creation logic in py/packages/corpora_cli/commands/plan.py.
• Consider interaction with project management tools if relevant, through corpora_pm capabilities.

This feature is intended to enhance efficiency and customization in issue management within the Corpora framework by minimizing manual labeling effort and aligning with user needs. Implementing user-guided context for LLM-based auto-labeling will ensure more accurate and relevant labeling outcomes. This initiative will support streamlined operations and tailored project organization processes.