Beeai integration

[tomkis]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @tomkis, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a new Dockerfile for the content_planner agent, establishing a containerized environment for its execution. The setup includes the integration of a beeai-a2a-proxy to manage external interactions and leverages uv for optimized Python dependency handling. This change aims to simplify the deployment and operational management of the content_planner agent by providing a self-contained and reproducible environment.

Highlights

• New Dockerfile: A new Dockerfile has been added for the content_planner agent, enabling its containerization and streamlined deployment.
• Beeai Integration: The Dockerfile integrates the tomkis/beeai-a2a-proxy, which runs alongside the main application to facilitate communication.
• Dependency Management: The uv tool is utilized for efficient Python dependency management, ensuring fast and reliable package installation within the Docker image.
• Startup Script: A custom start.sh script is implemented to concurrently launch both the Python application and the beeai-a2a-proxy upon container startup.

Ignored Files

• Ignored by pattern: .github/workflows/** (1)
  • .github/workflows/build-agent.yaml

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature	Command	Description
Code Review	/gemini review	Performs a code review for the current pull request in its current state.
Pull Request Summary	/gemini summary	Provides a summary of the current pull request in its current state.
Comment	@gemini-code-assist	Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help	/gemini help	Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

[gemini-code-assist]

Code Review

This pull request introduces a Dockerfile for the content planner agent. My review focuses on improving the Dockerfile by applying best practices for security, image size optimization, build caching, and reproducibility. The suggested changes will lead to a more efficient and robust container image.

[gemini-code-assist]

The environment variable PRODUCTION_MODE is set here and then again on line 18. This is redundant, and the second declaration will overwrite the first. To avoid confusion and keep the Dockerfile clean, you should set this variable only once. I recommend removing this declaration and only keeping the one on line 18.

ENV UV_LINK_MODE=copy

[gemini-code-assist]

To better leverage Docker's layer caching, you should first copy only the dependency-related files (pyproject.toml and uv.lock) and install the dependencies before copying the rest of the application source code. This way, Docker won't need to reinstall all dependencies every time you make a change to your source code, which will significantly speed up your builds.

WORKDIR /app
COPY samples/python/agents/content_planner/pyproject.toml samples/python/agents/content_planner/uv.lock ./
RUN uv sync --no-cache --locked --link-mode copy
COPY samples/python/agents/content_planner/ .

[gemini-code-assist]

The npx --yes tomkis/beeai-a2a-proxy command downloads and runs the proxy every time the container starts. This can introduce startup delays and makes your container's behavior dependent on network availability and the state of the npm registry. For better performance and reproducibility, it's recommended to install this tool during the image build process.

You can achieve this by:

1. Adding npm install -g tomkis/beeai-a2a-proxy to your package installation RUN step (e.g., on line 5).
2. Changing this line to call the globally installed proxy directly.

    echo 'beeai-a2a-proxy start -p 8000 -r GOOGLE_API_KEY &' >> /app/start.sh && \

[gemini-code-assist]

To minimize the Docker image size, it's a good practice to use the --no-install-recommends flag with apt-get install. This prevents the installation of packages that are only "recommended" and not strictly "depended" upon, which are often not needed and can increase the image size unnecessarily.

RUN apt-get update && apt-get install -y --no-install-recommends curl git && \
    curl -fsSL https://deb.nodesource.com/setup_20.x | bash - && \
    apt-get install -y --no-install-recommends nodejs && \
    apt-get clean && rm -rf /var/lib/apt/lists/*