Version updated for https://github.com/LautaroOrellano/ai-triage to version v1.2.0. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary The AI Triage & Discussion Helper GitHub Action leverages Google Gemini to automate issue management and community support for open-source projects. It provides intelligent features like context-aware issue labeling, accurate responses based on project documentation, and spam prevention by intervening only in stale or unanswered issues. Additionally, it supports multi-language systems, customizable bot names, and operates within Google’s free-tier API limits, streamlining project maintenance and reducing manual workload for maintainers.

Version updated for https://github.com/LautaroOrellano/ai-triage to version v1.1.0. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary The AI Triage & Discussion Helper is a GitHub Action designed to streamline issue management and community support for open-source projects. It automates tasks such as intelligent issue labeling, context-aware responses based on project documentation, and anti-spam lifecycle management, ensuring accurate and efficient user support. Key capabilities include dynamic categorization of issues, conversational replies to user mentions, and delayed responses to unresolved issues, all while leveraging Google’s free-tier AI infrastructure for cost efficiency.

Version updated for https://github.com/LautaroOrellano/ai-triage to version 1.0.2. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary The AI Triage & Discussion Helper is a GitHub Action designed to streamline issue management and community support for open-source projects. Powered by Google Gemini, it automates tasks such as intelligent issue labeling, context-aware responses based on repository documentation, and anti-spam lifecycle management, ensuring accurate and timely assistance. Key capabilities include multi-language support, user-triggered conversational replies, and delayed responses for unattended issues, reducing maintainer workload and improving community engagement.