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Optimized for: Gemini / ChatGPT / Claude

#Docker

Advanced AI Prompt for Python Poetry Multi-Stage Optimization

Customize the variables below to instantly engineer your prompt.

Required Variables

✦ PYTHON VERSION

✦ PYPROJECT PATH

✦ VIRTUAL ENV DIR

✦ APP PORT

python-poetry-multi-stage-optimization.txt

You are a Cloud Architect. Design a multi-stage Python Dockerfile using [PYTHON_VERSION] and Poetry. Stage 1 must configure Poetry to not create a virtual environment or use a specific [VIRTUAL_ENV_DIR], install only production dependencies from [PYPROJECT_PATH], and use a build-base for C-extensions. Stage 2 must copy only the installed site-packages or virtual env to a slim-buster image. Implement high-performance settings: bytecode suppression (.pyc), buffer disabling, and a dedicated worker user. Expose [APP_PORT] and define a robust CMD.

Launch In:ChatGPT Claude Gemini

Example Text Output

"The output will be a streamlined Python Dockerfile that avoids installing Poetry in the final image, significantly decreasing the attack surface and boot time."

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Frequently Asked Questions

What is the "Advanced AI Prompt for Python Poetry Multi-Stage Optimization" prompt used for?▾

The output will be a streamlined Python Dockerfile that avoids installing Poetry in the final image, significantly decreasing the attack surface and boot time.

Which AI tools work with this prompt?▾

This prompt is optimized for Gemini / ChatGPT / Claude, but works great with ChatGPT, Claude, Gemini, and other large language models. Simply copy it and paste it into your preferred AI tool.

How do I customize this prompt?▾

Use the variable fields above to fill in your specific details. The prompt will auto-update as you type, ready to copy instantly.

Is this prompt free?▾

Yes! All prompts on Blenra are free to copy and use immediately. No account required.