Version 1.0.0 - update workflows

.github/ISSUE_TEMPLATE/chore.yml

@@ -0,0 +1,42 @@
+name: "🧹 Chore"
+description: Submit a request for a maintenance or improvement task in LLMstudio. Including but not limited to tests, refactoring, and CI/CD.
+title: "CHORE: "
+labels: ["03 Chore"]
+body:
+  - type: textarea
+    id: chore-description
+    validations:
+      required: true
+    attributes:
+      label: Chore Description
+      description: |
+        A clear and concise description of the chore. Examples include adding tests, refactoring, or updating CI/CD.
+
+  - type: textarea
+    id: purpose
+    validations:
+      required: true
+    attributes:
+      label: Purpose
+      description: |
+        Outline the reason for this chore. What specific improvement does it bring to the project? 
+        Examples: resolve technical debt, increase code quality, aid future development, or simplify processes.
+
+  - type: textarea
+    id: impact
+    validations:
+      required: true
+    attributes:
+      label: Impact and Scope
+      description: |
+        Describe the extent and scope of this chore. Will it affect multiple modules, dependencies, or documentation? 
+        Is it critical for maintainability or ease of use? Note any potential side effects, dependencies, or areas of the codebase it touches.
+
+  - type: textarea
+    id: contribution
+    validations:
+      required: true
+    attributes:
+      label: Your Contribution
+      description: |
+        Can you assist with this chore by submitting a PR or providing insights? Make sure to read [CONTRIBUTING.MD](https://github.com/tensorops/llmstudio/blob/master/CONTRIBUTING.md).

.github/workflows/upload-pypi-core.yml

@@ -0,0 +1,63 @@
+name: Upload Python package to PyPI and build/push Docker images.
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - "libs/core/**"
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+      # Checkout the code
+      - name: Checkout code
+        uses: actions/checkout@v2
+
+      # Set up Python environment
+      - name: Set up Python
+        uses: actions/setup-python@v2
+        with:
+          python-version: "3.x"
+
+      # Install Poetry
+      - name: Install Poetry
+        run: |
+          curl -sSL https://install.python-poetry.org | python3 -
+
+      # Configure Poetry with PyPI token
+      - name: Configure Poetry
+        run: |
+          poetry config pypi-token.pypi ${{ secrets.PYPI_API_TOKEN }}
+
+      # Build and publish package to PyPI
+      - name: Build and publish to PyPI
+        working-directory: ./libs/core
+        run: |
+          poetry build
+          poetry publish
+
+      # Extract the new version number from pyproject.toml
+      - name: Extract version for tagging Docker image
+        working-directory: ./libs/core
+        run: |
+          echo "VERSION=$(poetry version --short)" >> $GITHUB_ENV
+
+      # Wait for the package to become available on PyPI
+      - name: Wait for PyPI to update
+        run: |
+          echo "Checking for llmstudio-core==${{ env.VERSION }} on PyPI..."
+          for i in {1..10}; do
+            if python -m pip install llmstudio-core==${{ env.VERSION }} --dry-run >/dev/null 2>&1; then
+              echo "Package llmstudio-core==${{ env.VERSION }} is available on PyPI."
+              break
+            else
+              echo "Package llmstudio-core==${{ env.VERSION }} not available yet. Waiting 15 seconds..."
+              sleep 15
+            fi
+            if [ $i -eq 10 ]; then
+              echo "Package did not become available in time."
+              exit 1
+            fi
+          done

.github/workflows/upload-pypi-dev.yml

@@ -1,56 +1,72 @@
-name: Upload Python package to PyPI as dev release and build/push Docker image.
-
 on:
   workflow_dispatch:
+    inputs:
+      library:
+        required: true
+        type: choice
+        description: Choose the library to deploy
+        options: 
+          - llmstudio
+          - llmstudio-core
+          - llmstudio-proxy
+          - llmstudio-tracker
 
 jobs:
   deploy:
     runs-on: ubuntu-latest
+    env:
+      MODULE_PATH: |
+        ${{ 
+          inputs.library == 'llmstudio' && 'libs/llmstudio' ||
+          inputs.library == 'llmstudio-core' && 'libs/core' ||
+          inputs.library == 'llmstudio-proxy' && 'libs/proxy' ||
+          inputs.library == 'llmstudio-tracker' && 'libs/tracker'
+        }}
     steps:
       - name: Checkout code
-        uses: actions/checkout@v2
+        uses: actions/checkout@v3
         with:
           ref: develop
           token: ${{ secrets.GH_TOKEN }}
 
       - name: Set up Python
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
         with:
           python-version: "3.x"
 
       - name: Install Poetry
-        run: |
-          curl -sSL https://install.python-poetry.org | python3 -
+        run: curl -sSL https://install.python-poetry.org | python3 -
 
       - name: Configure Poetry
-        run: |
-          poetry config pypi-token.pypi ${{ secrets.PYPI_API_TOKEN }}
+        run: poetry config pypi-token.pypi ${{ secrets.PYPI_API_TOKEN }}
 
       - name: Build and publish to PyPI as development release
+        working-directory: ${{ env.MODULE_PATH }}
         run: |
           poetry version prerelease
           poetry build
           poetry publish
 
       - name: Commit and push updated pyproject.toml
+        working-directory: ${{ env.MODULE_PATH }}
         run: |
           git config user.name "GitHub Actions"
           git config user.email "[email protected]"
           git add pyproject.toml
           git commit -m "[fix] bump prerelease version in pyproject.toml"
           git push
 
-      # Wait for PyPI to update
       - name: Wait for PyPI to update
+        working-directory: ${{ env.MODULE_PATH }}
         run: |
           VERSION=$(poetry version --short)
-          echo "Checking for llmstudio==$VERSION on PyPI..."
+          echo "Checking for ${{ github.event.inputs.library }}==$VERSION on PyPI..."
           for i in {1..10}; do
-            if python -m pip install llmstudio==${VERSION} --dry-run >/dev/null 2>&1; then
-              echo "Package llmstudio==${VERSION} is available on PyPI."
+            if python -m pip install ${{ github.event.inputs.library }}==${VERSION} --dry-run >/dev/null 2>&1; then
+              echo "Package ${{ github.event.inputs.library }}==${VERSION} is available on PyPI."
               break
             else
-              echo "Package llmstudio==${VERSION} not available yet. Waiting 15 seconds..."
+              echo "Package ${{ github.event.inputs.library }}==${VERSION} not available yet. Waiting 15 seconds..."
               sleep 15
             fi
             if [ $i -eq 10 ]; then
@@ -59,7 +75,6 @@ jobs:
             fi
           done
 
-      # Docker build and push section
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v2
 
@@ -70,18 +85,15 @@ jobs:
           password: ${{ secrets.DOCKER_PASSWORD }}
 
       - name: Extract version for tagging Docker image
+        working-directory: ${{ env.MODULE_PATH }}
         id: get_version
-        run: |
-          echo "VERSION=$(poetry version --short)" >> $GITHUB_ENV
+        run: echo "VERSION=$(poetry version --short)" >> $GITHUB_ENV
 
-      - name: Build and tag Docker image
+      - name: Build Docker images
+        working-directory: ./deploy
         run: |
-          docker build \
-            --build-arg LLMSTUDIO_VERSION=${{ env.VERSION }} \
-            -t tensoropsai/llmstudio:${{ env.VERSION }} \
-            .
+          make version=${{ env.VERSION }} build-${{ github.event.inputs.library }}
 
-      - name: Push Docker image to Docker Hub
+      - name: Push Docker images
         run: |
-          docker push tensoropsai/llmstudio:${{ env.VERSION }}
-
+          docker push tensoropsai/${{ github.event.inputs.library }}:${{ env.VERSION }}

.github/workflows/upload-pypi-proxy.yml

@@ -0,0 +1,63 @@
+name: Upload Python package to PyPI and build/push Docker images.
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - "libs/proxy/**"
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+      # Checkout the code
+      - name: Checkout code
+        uses: actions/checkout@v2
+
+      # Set up Python environment
+      - name: Set up Python
+        uses: actions/setup-python@v2
+        with:
+          python-version: "3.x"
+
+      # Install Poetry
+      - name: Install Poetry
+        run: |
+          curl -sSL https://install.python-poetry.org | python3 -
+
+      # Configure Poetry with PyPI token
+      - name: Configure Poetry
+        run: |
+          poetry config pypi-token.pypi ${{ secrets.PYPI_API_TOKEN }}
+
+      # Build and publish package to PyPI
+      - name: Build and publish to PyPI
+        working-directory: ./libs/proxy
+        run: |
+          poetry build
+          poetry publish
+
+      # Extract the new version number from pyproject.toml
+      - name: Extract version for tagging Docker image
+        working-directory: ./libs/proxy
+        run: |
+          echo "VERSION=$(poetry version --short)" >> $GITHUB_ENV
+
+      # Wait for the package to become available on PyPI
+      - name: Wait for PyPI to update
+        run: |
+          echo "Checking for llmstudio-proxy==${{ env.VERSION }} on PyPI..."
+          for i in {1..10}; do
+            if python -m pip install llmstudio-proxy==${{ env.VERSION }} --dry-run >/dev/null 2>&1; then
+              echo "Package llmstudio-proxy==${{ env.VERSION }} is available on PyPI."
+              break
+            else
+              echo "Package llmstudio-proxy==${{ env.VERSION }} not available yet. Waiting 15 seconds..."
+              sleep 15
+            fi
+            if [ $i -eq 10 ]; then
+              echo "Package did not become available in time."
+              exit 1
+            fi
+          done

.github/workflows/upload-pypi-sdk.yml

@@ -0,0 +1,63 @@
+name: Upload Python package to PyPI and build/push Docker images.
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - "libs/llmstudio/**"
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+      # Checkout the code
+      - name: Checkout code
+        uses: actions/checkout@v2
+
+      # Set up Python environment
+      - name: Set up Python
+        uses: actions/setup-python@v2
+        with:
+          python-version: "3.x"
+
+      # Install Poetry
+      - name: Install Poetry
+        run: |
+          curl -sSL https://install.python-poetry.org | python3 -
+
+      # Configure Poetry with PyPI token
+      - name: Configure Poetry
+        run: |
+          poetry config pypi-token.pypi ${{ secrets.PYPI_API_TOKEN }}
+
+      # Build and publish package to PyPI
+      - name: Build and publish to PyPI
+        working-directory: ./libs/llmstudio
+        run: |
+          poetry build
+          poetry publish
+
+      # Extract the new version number from pyproject.toml
+      - name: Extract version for tagging Docker image
+        working-directory: ./libs/llmstudio
+        run: |
+          echo "VERSION=$(poetry version --short)" >> $GITHUB_ENV
+
+      # Wait for the package to become available on PyPI
+      - name: Wait for PyPI to update
+        run: |
+          echo "Checking for llmstudio==${{ env.VERSION }} on PyPI..."
+          for i in {1..10}; do
+            if python -m pip install llmstudio==${{ env.VERSION }} --dry-run >/dev/null 2>&1; then
+              echo "Package llmstudio==${{ env.VERSION }} is available on PyPI."
+              break
+            else
+              echo "Package llmstudio==${{ env.VERSION }} not available yet. Waiting 15 seconds..."
+              sleep 15
+            fi
+            if [ $i -eq 10 ]; then
+              echo "Package did not become available in time."
+              exit 1
+            fi
+          done