brandOptics AI Neural Nexus

Version updated for https://github.com/brandOptics/brandOptics_ai_review_bot_action to version v3.9.7.

  • This action is used across all versions by 0 repositories.

Go to the GitHub Marketplace to find the latest changes.

Action Summary

BrandOptics Neural Nexus is an advanced GitHub Action that automates code reviews by combining static analysis with AI-driven reasoning to ensure high-quality, bug-free code. It not only detects syntax errors and security vulnerabilities but also provides senior-level refactoring suggestions, architectural analysis, and context-aware improvements. The action simulates a Senior Software Architect’s workflow, automating tasks like dependency tracing, duplication detection, and code refactoring to streamline development and enforce clean code principles.

Release notes

☁️ Native Azure OpenAI Support

Neural Nexus now includes a first-class integration with Azure OpenAI Service (Azure Foundry). This allows Enterprise teams to leverage their secure, compliant Azure infrastructure directly.

  • Seamless Switching: Simply setting openai_api_type: "azure" automatically reconfigures the internal engine to use AzureOpenAI headers and authentication protocols.
  • Enhanced Configuration: Full support for openai_api_version ensures compatibility with the latest API previews (e.g., 2025-01-01-preview).

🛡️ Critical Failure Reporting

We have improved visibility into system health.

  • Immediate Alerts: If the AI API fails (due to Keys, Rate Limiting, or Firewall), the bot now posts a Critical System Notice prominently in the PR comment, ensuring developers aren’t left guessing why the review is empty.
  • Debug Trace: Console logs now output initializing connection types for easier troubleshooting in GitHub Actions logs.

⚙️ How to Upgrade

- uses: brandoptics/brandOptics_ai_review_bot_action@v3.9.7
  with:
    openai_key: ${{ secrets.AZURE_API_KEY }}
    openai_base_url: "api_end_point"
    openai_model: "model_name"
    openai_api_type: "azure"    //azure or openai         
    openai_api_version: "model_version"