feat(ci): add GPT-5-powered auto-labeling for issues #1997
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Automatically labels new issues using OpenAI GPT-5 mini API when they lack a T- (Type) label. Applies labels with >=75% confidence and posts explanatory comments. Security measures against abuse: - Only processes issues from accounts >7 days old (anti-spam) - Rate limited via concurrency group (1 at a time) - Only triggers on 'opened', not 'edited' (reduces duplicate API calls) - Truncates issue bodies >8000 chars (cost control) - Prompt injection protections with XML delimiters - Uses org-level OPENAI_API_KEY - JSON response format for reliable parsing Cost estimate: ~$0.0005 per issue (~20x cheaper than Claude) Includes retroactive labeling script for existing unlabeled issues. Related to #1980 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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Summary
Implements automated issue labeling using OpenAI's GPT-5 mini to address the 39% unlabeled issue problem identified in #1980.
What Changed
GitHub Action Workflow (
.github/workflows/auto-label-issues.yml)Retroactive Labeling Script (
~/code/freenet/retroactive-label-issues.sh)./retroactive-label-issues.sh [--dry-run] [--limit N]Security Measures
✅ Anti-spam:
✅ Cost control:
✅ Prompt injection protection:
Testing Plan
--dry-run --limit 10to testRelated
Part of label schema simplification effort in #1980
[AI-assisted debugging and comment]