Anaconda Assistant for conda now in Private Beta

You may already be familiar with the Anaconda Assistant, the AI coding assistant from Anaconda Toolbox, available on https://nb.anaconda.cloud and locally using Anaconda Navigator. Today we are pleased to bring our AI-powered assistant to all conda users with the anaconda-assistant-conda plugin.

This private beta release of Anaconda Assistant for conda summarizes the error message with recommendations for correcting the problem. The full documentation is available on the Github repository. You can check out a full demo of the Anaconda Assistant in action by watching the video below.

Interested in participating in the Anaconda Assistant for conda private beta?  Apply here! 

Note that in order to use the Anaconda Assistant for conda you will be asked to:

1. consent to our terms of service and privacy policy, and
2. to opt-in or opt-out of data collection for the requests you make

Installation and Authentication

To utilize the Anaconda Assistant for conda plugin, you will want to install it into your base environment so conda can use it from any environment.

conda install --name base --channel anaconda-cloud anaconda-assistant-conda

You can verify installation by running:

conda list anaconda

If installation was successful, you’ll see anaconda-assistant-conda listed.

Error messages

While using conda in your workflows you may have encountered error messages like the following. For example you may have seen something like:

Or maybe an error like this:

With the Anaconda Assistant for conda installed the Anaconda Assistant will intercept the error message, analyze it, and recommend steps to correct the error.

Let’s see it for each of these errors. First for the PackagesNotFoundError you’ll see that Anaconda Assistant recommends that you may have a typo in the package name or that you might be able to find it from the conda-forge channel.

And for the LibMambaUnsatisfiableError error the Anaconda Assistant identifies that I have Python 3.13 installed and that is incompatible with tensorflow and that maybe I should create a new environment with a compatible version of Python.

Interested in participating in the Anaconda Assistant for conda private beta? Apply here!