Create Coderabbit.yml

[ghost]

Yes! Below is the updated BrainRabbit.yml file, now configured to use GitHub.com/bearycool11/pmll_knowledge_block.git as the primary repository. This ensures the workflow pulls directly from your PMLL knowledge block for integration into the Persistent Memory Logic Loop (PMLL) and CodeRabbitAI Azure setup.

Updated BrainRabbit.yml

name: BrainRabbit-CI/CD

on:
push:
branches:
- main pull_request: branches:
- main

jobs:
rabbit-build:
name: Build Rabbit Protocol and Modular Brain Components runs-on: ${{ matrix.os }} strategy: matrix: os: [ubuntu-latest, windows-2025, macos-15]

steps:
  - name: Checkout Code uses: actions/checkout@v3 with: repository: bearycool11/pmll_knowledge_block

  - name: Setup Environment
    run: |
      if [[ $RUNNER_OS == 'Linux' ]]; then
        sudo apt-get update && sudo apt-get install -y docker.io clang
      elif [[ $RUNNER_OS == 'macOS' ]]; then
        brew install golang docker clang
      else
        choco install golang docker-desktop
        ./install_docker_ce.ps1
      fi

  - name: Install Dependencies
    run: |
      go mod tidy
      go mod vendor

  - name: Build Modular Brain Components
    run: |
      gcc brainOrgan.c -o modular_brain_executable
      gcc ears.c -o inner_ear_module
      gcc pml_logic_loop.c -o logic_module

  - name: Build Rabbit Protocol Components
    run: |
      go build -o rabbit_protocol_clang cmd/main.go

  - name: Save Build Artifacts
    uses: actions/upload-artifact@v3
    with:
      name: build-artifacts
      path: |
        modular_brain_executable
        inner_ear_module
        logic_module
        rabbit_protocol_clang

rabbit-run:
name: Test Modular Brain and Rabbit Protocol runs-on: ${{ matrix.os }} needs: rabbit-build strategy: matrix: os: [ubuntu-latest, windows-2025, macos-15]

steps:
  - name: Checkout Code uses: actions/checkout@v3 with: repository: bearycool11/pmll_knowledge_block

  - name: Run Tests
    run: |
      ./modular_brain_executable --test
      ./logic_module --run-tests
      ./inner_ear_module --validate
      if [[ $RUNNER_OS == 'Linux' || $RUNNER_OS == 'macOS' ]]; then
        docker run --rm rabbit_protocol_clang
      else
        docker run --rm rabbit_protocol_clang.exe

persistent-memory-loop:
name: Persistent Memory Logic Loop (PMLL) Integration runs-on: ubuntu-latest needs: rabbit-run

steps:
  - name: Checkout Code uses: actions/checkout@v3 with: repository: bearycool11/pmll_knowledge_block

  - name: Set Up Persistent Memory Logic Loop
    run: |
      ./pmll_setup.sh --init
      ./pmll_train.sh --dataset cognitive_graphs.json
      ./pmll_test.sh --validate-memory

  - name: Log Memory Loop Activity
    run: ./pmll_logger.sh --log

bugzap-pesterbot:
name: Scan and Fix Rogue Code runs-on: ubuntu-latest needs: persistent-memory-loop

steps:
  - name: Scan for Rogue Code run: grep -r "pesterbot" ./cmd || echo "No rogue code found"

  - name: Remove Rogue Code
    run: sed -i '/pesterbot/d' ./cmd/main.go

azure-coderabbitai:
name: Set Up and Sync Azure for CodeRabbitAI runs-on: ubuntu-latest needs: bugzap-pesterbot

steps:
  - name: Checkout Code uses: actions/checkout@v3 with: repository: bearycool11/pmll_knowledge_block

  - name: Login to Azure
    run: |
      az login --service-principal --username $AZURE_USER --password $AZURE_PASSWORD --tenant $AZURE_TENANT

  - name: Create CodeRabbitAI Database
    run: |
      az storage account create --name coderabbitaiStorage --resource-group CodeRabbitAI --location EastUS --sku Standard_LRS
      az storage container create --account-name coderabbitaiStorage --name neural-mem-cache
      az storage container create --account-name coderabbitaiStorage --name task-execution-data

  - name: Deploy CodeRabbitAI AI Model
    run: |
      az ml model deploy --name rabbitai-pmll --resource-group CodeRabbitAI --workspace-name AIWorkspace \
        --model-id rabbitai-pmll:v1 --compute-target AzureMLCompute

  - name: Validate CodeRabbitAI Deployment
    run: ./validate_coderabbitai.sh

package-toolbelt:
name: Package and Publish Toolbelt runs-on: ubuntu-latest needs: azure-coderabbitai

steps:
  - name: Download Build Artifacts uses: actions/download-artifact@v3 with: name: build-artifacts

  - name: Build Docker Image
    run: docker build -t modular_brain_toolbelt:latest .

  - name: Push Docker Image to Registry
    run: |
      docker tag modular_brain_toolbelt:latest ghcr.io/bearycool11/modular_brain_toolbelt:latest
      docker push ghcr.io/bearycool11/modular_brain_toolbelt:latest

Key Enhancements with bearycool11/pmll_knowledge_block
1. Repository Integration: • All jobs now use bearycool11/pmll_knowledge_block.git as the primary repo. • Ensures direct PMLL access for CodeRabbitAI tasks.
2. PMLL Memory Loop Integration: • persistent-memory-loop job ensures continuous memory updates. • Automated PMLL validation for CodeRabbitAI.
3. Seamless Azure AI Model Deployment: • Deploys rabbitai-pmll AI model within CodeRabbitAI Azure workspace. • Includes task-execution-data storage.
4. Optimized CI/CD Flow: • Ensures memory loop is trained, validated, and deployed before final packaging. • Final Docker image is pushed to ghcr.io/bearycool11/modular_brain_toolbelt:latest.

Expected Benefits

✅ Direct PMLL integration from your GitHub repository ✅ Real-time memory training for CodeRabbitAI’s AI model ✅ Seamless Azure setup with memory-cached task execution ✅ Optimized for long-term AI memory retention and scalability

Would you like email notifications or Slack alerts on failures for better monitoring?

[coderabbitai]

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