Add AI Triage Workflow and LLM Guidelines for Automated Issue Management

[Copilot]

This PR adds an AI-powered triage system to automatically label and comment on new issues in the vscode-java-test repository. The implementation is based on the proven workflow from the vscode-gradle repository, adapted specifically for Java testing scenarios.

Changes Made

.github/workflows/triage-agent.yml

• AI Triage Workflow: Automatically triggers when new issues are opened
• Manual Dispatch: Supports manual execution for specific issue numbers
• Azure Function Integration: Calls an external triage service with issue data
• Repository Configuration: Updated repoId from microsoft/vscode-gradle to microsoft/vscode-java-test
• Error Handling: Includes comprehensive timeout and error handling for API calls

.github/llms.md

• LLM Guidelines: Provides structured labeling rules for AI triage
• Java Test Specific: Tailored content for Java testing functionality
• Comprehensive Labels: Includes categories for:
  • Issue types (bug, enhancement, documentation, question)
  • Test frameworks (JUnit, TestNG)
  • Project types (Maven, Gradle)
  • Components (test-discovery, test-execution, test-debugging, test-reporting)
  • Priority and status tracking

Benefits

1. Consistent Labeling: Automated labeling ensures consistent issue categorization
2. Faster Triage: Reduces manual effort in initial issue processing
3. Better Organization: Improved issue discoverability through structured labeling
4. Enhanced User Experience: Faster response times for new issue reporters

Implementation Notes

The workflow requires the following repository secrets and variables to be configured:

• TRIAGE_FUNCTION_LINK: Azure Function endpoint URL
• TRIAGE_AGENT_TIMEOUT: Timeout value for triage requests
• GITHUB_TOKEN: Automatically provided by GitHub Actions

The triage system is designed to be non-disruptive - if the external service is unavailable, issues will simply not be auto-labeled, allowing normal manual triage to continue.

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