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If you're having trouble with the langauge server, check the below for information which may help. If something isn't covered here, please file an issue with the information given in Filing an issue.

Known issues

There are a few known issues in the current version of the language server:

  • Not all __all__ statements can be handled.
    • Some modules may have an incorrect list of exported names. See #620, #619.


Python is a requirement for the language server to run. In VS Code, an interpreter must be selected in order for the language server to properly initialize. If your language server fails to start, be sure that you have selected an interpreter.

The language server can only run on platforms where the .NET Core can run. This roughly means:

  • Windows, 32/64 bit
  • macOS, 64 bit
  • Linux, 64 bit

The language server ships with its dependencies (including the .NET Core runtime when needed), but may require outside libraries such as OpenSSL 1.0 or libicu on Linux.

Common questions and issues

Unresolved import warnings

If you're getting a warning about an unresolved import, first ensure that the package is installed into your environment if it is a library (pip, pipenv, etc). If the warning is about importing your own code (and not a library), continue reading.

The language server treats the workspace root (i.e. folder you have opened) as the main root of user module imports. This means that if your imports are not relative to this path, the language server will not be able to find them. This is common for users who have a src directory which contains their code, a directory for an installable package, etc.

These extra roots must be specified to the language server. The easiest way to do this (with the VS Code Python extension) is to create a workspace configuration which sets python.autoComplete.extraPaths. For example, if a project uses a src directory, then create a file .vscode/settings.json in the workspace with the contents:

    "python.autoComplete.extraPaths": ["./src"]

This list can be extended to other paths within the workspace (or even with code outside the workspace in more complicated setups). Relative paths will be taken as relative to the workspace root.

This list may also be configured using the PYTHONPATH environment variable, either set directly, or via a .env file in the workspace root (if using the Python extension):


For more examples, see issues: #1085, #1169

"Server initialization failed"

If you see this message, ensure that an interpreter has been selected. (See Requirements).

Completion is inaccurate or unavailable when the editor starts

The language server operates in passes. The first pass will preform an initial analysis of the code, collecting things like function/variable/class names. A second pass will fill in the rest of the information. Before the second pass is complete, some information will be incomplete, and some warnings about unresolved imports may occur. The analysis is complete when the status message (in the bottom bar) disappears.

Filing an issue

When filing an issue, make sure you do the following:

  • Check existing issues for the same problem (also see the "Known Issues" section above for widespread problems).
  • Enable trace logging by adding "python.analysis.logLevel": "Trace" to your settings.json configuration file.
    • Adding this will cause a large amount of info to be printed to the Python output panel. This should not be left long term, as the performance impact of the logging is significant.
  • State which language server version you are using:
    • To find your version: Select "View: Toggle Output" from the command palette (Ctrl+Shift+P on Windows/Linux, Command+Shift+P on macOS), then select "Python" in the dropdown on the right ("Python Language Server" if running Insiders build of VS Code). Look for the line Microsoft Python Language Server version X in the console.
  • State the environment where your code is running; i.e. Python version, the virtual environment type, etc.
    • If using a virtual environment, please include the requirements.txt file.
    • If working with a conda environment, attach the environment.yml file.
  • A code example (or any other additional information) we can use to reproduce the issue.
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