Set up a Python LLM dev environment

Q: Set up a Python LLM dev environment

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Question

Task: Reproducible Local Python Environment for a Mistral Agent

You are to set up a clean, fully reproducible local Python environment to develop a small Mistral-based agent and verify it with a real API call.

Assume a Unix-like shell (macOS/Linux). If you're on Windows, use WSL or the Windows equivalents.

Requirements

Install a specific Python version using pyenv (e.g., Python 3.11.x).
Create and activate an isolated virtual environment.
Manage dependencies with a lockfile to ensure reproducible installs.
Configure secrets via environment variables without committing them.
Structure the project for quick local execution and testing.
Verify the setup by running a short script that prints the model name from a test Mistral API call.

Deliverables

Clear setup commands and minimal rationale for each step.
A project skeleton (directories and key files).
A verification script that calls the Mistral API and prints the model name.
Notes on how to run and validate the environment.

Set up a Python LLM dev environment

Task: Reproducible Local Python Environment for a Mistral Agent

Requirements

Deliverables

Solution (Locked)

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