Pylance Missing Imports Poetry Hot ^hot^ -

The search query "pylance missing imports poetry hot" refers to a common issue where the Pylance language server (in VS Code) cannot resolve modules that were installed using the Python dependency manager Poetry.

This issue is frequently encountered ("hot") because Pylance and Poetry have different default behaviors regarding virtual environments.

Here is the solution to fix missing imports when using Poetry with Pylance: pylance missing imports poetry hot

Workaround currently (for users)

  1. Select the Poetry venv interpreter:
    poetry env info --path → select ./.venv/bin/python
  2. Add to .vscode/settings.json: 
    "python.analysis.extraPaths": ["$workspaceFolder/.venv/lib/python3.x/site-packages"]
  3. Or use poetry shell before launching VS Code.

But these workarounds break across teams, OSes, or when Poetry virtualenvs are stored globally.

The "Ghost" Imports: Why Pylance Can’t See Your Poetry Packages (And How to Fix It)

You’ve just scaffolded a pristine new project. You ran poetry add fastapi (or pandas, or numpy), the install finished without a hitch, and your pyproject.toml looks beautiful. You open VS Code, type import fastapi, and then you see it. The search query "pylance missing imports poetry hot"

The dreaded wavy red underline. "Import could not be resolved."

Pylance is panicking. It claims your package doesn't exist. You check your terminal—poetry run python main.py works perfectly. So, why is your editor lying to you? Select the Poetry venv interpreter: poetry env info

If you search for this issue, you’ll find it’s a "hot" topic in the Python community. The code works, but the developer experience is broken. Here is the breakdown of why this happens and the two-minute fix to get your IntelliSense back.

5.1 Commit the Config Files

git add .vscode/settings.json
git add poetry.toml  # this stores the "virtualenvs.in-project = true" config
git commit -m "Fix Pylance integration with Poetry"

📌 Bottom Line

The mismatch between Poetry’s virtual environment location and Pylance’s interpreter selection is almost always the culprit. Setting virtualenvs.in-project true is the most reliable long-term fix, as it keeps the env inside the workspace where Pylance looks by default.