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Merge pull request #332 from tjsullivan1/main
Dockerfiles for MCP and FastAPI
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‎.devcontainer/devcontainer.json‎

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// Features to add to the dev container. More info: https://containers.dev/features.
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"features": {
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"ghcr.io/devcontainers/features/azure-cli:1": {},
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"ghcr.io/devcontainers-extra/features/uv:1": {}
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},
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"ghcr.io/devcontainers/features/azure-cli:1": {},
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"ghcr.io/devcontainers-extra/features/uv:1": {},
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"ghcr.io/devcontainers/features/github-cli:1": {},
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"ghcr.io/devcontainers/features/docker-in-docker:2": {}
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},
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"secrets": {
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"AZURE_OPENAI_ENDPOINT": {
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"description": " Replace with your model-deployment endpoint in Azure AI Foundry",
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"documentationUrl": "https://YOUR-OPENAI-SERVICE-ENDPOINT.openai.azure.com"
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},
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"AZURE_OPENAI_API_KEY": {
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"description": " Replace with your Foundry project’s API key",
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"documentationUrl": "YOUR-OPENAI-API-KEY"
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},
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// Configure tool-specific properties.
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"customizations": {
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// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
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// "remoteUser": "root"
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}
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}

‎.github/workflows/docker-fastapi.yml‎

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# This is a basic workflow to help you get started with Actions
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name: Build and Push Docker Image for FastAPI Backend
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# Controls when the action will run.
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on:
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# Triggers the workflow on push or pull request events but only for the main branch
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pull_request:
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branches: [ main ]
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# Allows you to run this workflow manually from the Actions tab
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workflow_dispatch:
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env:
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PROJECT_NAME: aoaiwkshp-backend
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PROJECT_SUBPATH: agentic_ai/
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SPECIFIC_RELEASE_TAG: ${{ vars.SPECIFIC_RELEASE_TAG || '' }}
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# A workflow run is made up of one or more jobs that can run sequentially or in parallel
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jobs:
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# This workflow contains a single job called "build"
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build:
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# The type of runner that the job will run on
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runs-on: ubuntu-latest
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# Only run if the required variables exist
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if: vars.REGISTRY_LOGIN_SERVER != '' && vars.REGISTRY_LOGIN_SERVER != null
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# Steps represent a sequence of tasks that will be executed as part of the job
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steps:
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# Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
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- uses: actions/checkout@v2
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- uses: docker/login-action@v3
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with:
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registry: ${{ vars.REGISTRY_LOGIN_SERVER }}
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username: ${{ secrets.REGISTRY_USERNAME }}
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password: ${{ secrets.REGISTRY_PASSWORD }}
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- name: Build registry prefix
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id: prefix
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run: |
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if [[ "${{ vars.REGISTRY_LOGIN_SERVER }}" == *"docker.io"* ]]; then
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echo "prefix=${{ vars.REGISTRY_LOGIN_SERVER }}/${{ secrets.REGISTRY_USERNAME }}/${{ env.PROJECT_NAME }}" >> $GITHUB_OUTPUT
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else
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echo "prefix=${{ vars.REGISTRY_LOGIN_SERVER }}/${{ env.PROJECT_NAME }}" >> $GITHUB_OUTPUT
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fi
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- run: |
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if [ -z "${{ env.SPECIFIC_RELEASE_TAG }}" ]; then
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docker build ${{ env.PROJECT_SUBPATH }} -t ${{ steps.prefix.outputs.prefix }}:${{ github.sha }} -t ${{ steps.prefix.outputs.prefix }}:latest
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else
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docker build ${{ env.PROJECT_SUBPATH }} -t ${{ steps.prefix.outputs.prefix }}:${{ env.SPECIFIC_RELEASE_TAG }} -t ${{ steps.prefix.outputs.prefix }}:latest
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fi
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- run: |
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docker push ${{ steps.prefix.outputs.prefix }} --all-tags

‎.github/workflows/docker-mcp.yml‎

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# This is a basic workflow to help you get started with Actions
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name: Build and Push Docker Image for MCP
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# Controls when the action will run.
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on:
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# Triggers the workflow on push or pull request events but only for the main branch
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pull_request:
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branches: [ main ]
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# Allows you to run this workflow manually from the Actions tab
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workflow_dispatch:
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env:
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PROJECT_NAME: aoaiwkshp-mcp
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PROJECT_SUBPATH: mcp/
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SPECIFIC_RELEASE_TAG: ${{ vars.SPECIFIC_RELEASE_TAG || '' }}
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# A workflow run is made up of one or more jobs that can run sequentially or in parallel
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jobs:
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# This workflow contains a single job called "build"
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build:
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# The type of runner that the job will run on
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runs-on: ubuntu-latest
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# Only run if the required variables exist
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if: vars.REGISTRY_LOGIN_SERVER != '' && vars.REGISTRY_LOGIN_SERVER != null
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# Steps represent a sequence of tasks that will be executed as part of the job
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steps:
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# Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
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- uses: actions/checkout@v2
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- uses: docker/login-action@v3
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with:
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registry: ${{ vars.REGISTRY_LOGIN_SERVER }}
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username: ${{ secrets.REGISTRY_USERNAME }}
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password: ${{ secrets.REGISTRY_PASSWORD }}
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- name: Build registry prefix
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id: prefix
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run: |
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if [[ "${{ vars.REGISTRY_LOGIN_SERVER }}" == *"docker.io"* ]]; then
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echo "prefix=${{ vars.REGISTRY_LOGIN_SERVER }}/${{ secrets.REGISTRY_USERNAME }}/${{ env.PROJECT_NAME }}" >> $GITHUB_OUTPUT
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else
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echo "prefix=${{ vars.REGISTRY_LOGIN_SERVER }}/${{ env.PROJECT_NAME }}" >> $GITHUB_OUTPUT
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fi
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- run: |
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if [ -z "${{ env.SPECIFIC_RELEASE_TAG }}" ]; then
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docker build ${{ env.PROJECT_SUBPATH }} -t ${{ steps.prefix.outputs.prefix }}:${{ github.sha }} -t ${{ steps.prefix.outputs.prefix }}:latest
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else
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docker build ${{ env.PROJECT_SUBPATH }} -t ${{ steps.prefix.outputs.prefix }}:${{ env.SPECIFIC_RELEASE_TAG }} -t ${{ steps.prefix.outputs.prefix }}:latest
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fi
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- run: |
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docker push ${{ steps.prefix.outputs.prefix }} --all-tags

‎SETUP_UV.md‎

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![alt text](media/image-1.png)
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![alt text](docs/media/image-1.png)
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# Microsoft AI Agentic Workshop Setup
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This document describes how to setup and run your AI Agents for the workshop if you are using UV as your python manager.

‎agentic_ai/Dockerfile‎

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# syntax=docker/dockerfile:1
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########## BUILD STAGE ##########
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FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS build
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# We'll treat /app as the project root inside the container
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WORKDIR /app
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# Copy dependency metadata from your repo
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# (pyproject.toml lives at app/applications/pyproject.toml on host)
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COPY applications/pyproject.toml ./pyproject.toml
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COPY applications/uv.lock ./uv.lock
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# If you have a uv.lock, keep this; otherwise delete/comment it
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# COPY app/applications/uv.lock ./uv.lock
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ENV UV_COMPILE_BYTECODE=1 \
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UV_LINK_MODE=copy
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# Install all dependencies (including uvicorn) into /app/.venv
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --frozen --no-dev
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# Now bring in the actual source code
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# applications package (where backend.py lives)
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COPY applications ./applications
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# agents directory (no __init__.py needed)
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COPY agents ./agents
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########## RUNTIME STAGE ##########
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FROM python:3.12-slim AS runtime
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WORKDIR /app
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# Ensure we use the venv's python + scripts (uvicorn, etc.)
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ENV PATH="/app/.venv/bin:$PATH" \
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PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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# let Python see /app so "import agents" works
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PYTHONPATH="/app"
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# Copy the venv and source code from build stage
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COPY --from=build /app /app
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# Sanity: this should run backend.py exactly like:
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# uv run applications/backend.py
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# but using the venv python directly
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CMD ["python", "applications/backend.py"]

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