Now, look in your project folder. You will see a .venv directory. VS Code and Pylance will auto-detect it without any manual intervention. To make it bulletproof, create a workspace setting. In your project root, create a .vscode folder, then a settings.json file:
By setting virtualenvs.in-project true , configuring your .vscode/settings.json , and understanding how to manually select the interpreter, you transform this sporadic nightmare into a reliable, automated workflow. pylance missing imports poetry hot
Ensure your pyproject.toml includes your project package correctly: Now, look in your project folder
poetry config virtualenvs.in-project true This creates a .venv folder inside your project directory immediately after your next poetry install . VS Code always detects a .venv folder. # Delete the old global env (optional but clean) poetry env remove --all Reinstall dependencies (creates .venv locally) poetry install To make it bulletproof, create a workspace setting
Open the VS Code Command Palette ( Cmd+Shift+P on macOS, Ctrl+Shift+P on Windows/Linux).
{ "settings": { "folders": [ { "path": "client", "settings": { "python.defaultInterpreterPath": "client/.venv/bin/python" } }, { "path": "server", "settings": { "python.defaultInterpreterPath": "server/.venv/bin/python" } } ] } } Some developers use Conda for Python versions and Poetry for packages. This creates a nested environment confusion.