If the steps above don't work, you can manually point Pylance to your dependency paths in your .vscode/settings.json :
Method 2: Force Poetry to Create In-Project Virtual Environments
How to Fix Pylance Missing Imports When Using Poetry VS Code’s Pylance language server frequently fails to recognize external packages installed via Poetry. This issue typically triggers a frustrating reportMissingImports warning, even when your code runs perfectly in the terminal. The root cause is almost always a disconnect between VS Code's active Python interpreter and the specific virtual environment where Poetry installed your dependencies. pylance missing imports poetry hot
The most important elements here are python.defaultInterpreterPath for permanent interpreter selection and python.analysis.extraPaths to help Pylance find all your local source code.
poetry run which python
: If your project contains a pyrightconfig.json or pyproject.toml with Pyright configurations, it might be overriding your VS Code settings. Ensure your venvPath or extraPaths are mirrored there.
Here are the solutions to fix the hot error, ranging from the official VS Code workflow to manual overrides. If the steps above don't work, you can
Sometimes, even with in-project true , Pylance caches the wrong path. Open Command Palette > Pylance: Restart server .
| Issue | Typical Symptom | Quick Fix | | :--- | :--- | :--- | | | Pylance sees stdlib but not any dependency | Select the correct Poetry venv interpreter | | Auto-Exclude Rule | Dependencies not recognized after a recent update | Add a pyright section to pyproject.toml | | New/Generated Module | Pylance can't find a newly created file | Reload VS Code window or restart the language server | | Monorepo / Path Dependency | Auto-import works for PyPI packages but not your local ones | Add paths to python.analysis.extraPaths | | Large Project / Indexing Limit | Some dependencies recognized, others not | Increase userFileIndexingLimit or clear Pylance's cache | The most important elements here are python
The issue can be even more pronounced in Jupyter Notebooks because the notebook's kernel might not be the same as your selected interpreter. To fix this: