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conda update anaconda-assistant-conda

anaconda-assistant-conda#

The Anaconda AI Assistant conda plugin brings AI assistance to your conda workflows. You will need an account on Anaconda.cloud. Visit the sign-up page to create an account.

Refer to https://anaconda.com/pricing for information about the number of Anaconda AI Assistant requests you can make.

The plugin provides a new subcommand called conda assist and will automatically summarize error messages for all conda commands and provide suggestions on how to correct the error.

Installation#

This package is a conda plugin and must be installed in your base environment. Conda version 24.1 or newer is required.

conda install -n base -c anaconda-cloud anaconda-assistant-conda

Terms of use#

You will need to agree to our terms of use, privacy policy, and choose to opt-in or opt-out of data collection on first use of this plugin.

See the documentation from the anaconda-assistant-sdk for more details.

Authentication#

When you use any of the Anaconda AI Assistant features you will be prompted to login to your Anaconda.cloud account if you have not already done so. This will open your browser and prompt you to complete the login.

You can also login using the Anaconda CLI

anaconda login

Daily quotas#

Each Anaconda.cloud subscription plan enforces a limit on the number of requests (package search or error correct). The limits are documented on the Plans and Pricing page. Once the limit is reached the plugin will display a message to wait for 24 hours.

Users can upgrade their plans by visiting https://anaconda.cloud/profile/subscriptions.

Error messages#

Conda command can fail in many ways and sometimes the error message doesn’t immediately help you correct the problem.

When any conda CLI command produces an error message the Assistant will intercept the message and help you diagnose the problem and suggest corrections.

> conda create -n dt --dry-run anaconda-cloud-auth=0.7 pydantic=1
Channels:
 - defaults
 - ai-staging
 - anaconda-cloud
 - conda-forge
Platform: osx-arm64
Collecting package metadata (repodata.json): done
Solving environment: failed

LibMambaUnsatisfiableError: Encountered problems while solving:
  - nothing provides package_has_been_revoked needed by anaconda-cli-base-0.4.1-py310hca03da5_0

Could not solve for environment specs
The following packages are incompatible
├─ anaconda-cloud-auth 0.7**  is installable and it requires
│  └─ anaconda-cli-base >=0.4.0  with the potential options
│     ├─ anaconda-cli-base 0.4.1 would require
│     │  └─ package_has_been_revoked, which does not exist (perhaps a missing channel);
│     └─ anaconda-cli-base [0.4.0|0.4.1] would require
│        └─ pydantic-settings >=2.3 , which requires
│           └─ pydantic >=2.7.0 , which can be installed;
└─ pydantic 1**  is not installable because it conflicts with any installable versions previously reported.

Hello from Anaconda Assistant!
I'm going to help you diagnose and correct this error.
The error message indicates that there are compatibility issues between the packages you are trying to install. Specifically,
the package anaconda-cloud-auth version 0.7 requires anaconda-cli-base version 0.4.0 or higher, but the available version
0.4.1 has a dependency on a package that has been revoked (package_has_been_revoked). Additionally, the version of pydantic
you specified (1) conflicts with the requirements of anaconda-cli-base, which needs a version of pydantic that is 2.7.0 or higher.

Here are three ways you can correct the error:

 1 Update the pydantic version: Change the command to specify a compatible version of pydantic that meets the requirements of
   anaconda-cli-base. For example:

    ./env/bin/conda create -n dt --dry-run anaconda-cloud-auth=0.7 pydantic=2.7.0

 2 Remove anaconda-cloud-auth: If you do not specifically need anaconda-cloud-auth, you can try creating the environment
   without it:

    ./env/bin/conda create -n dt --dry-run pydantic=2.7.0

 3 Use a different version of anaconda-cloud-auth: If you need anaconda-cloud-auth, consider using a different version that
   does not have the same dependency issues. You can check for available versions and try a lower version:

    ./env/bin/conda create -n dt --dry-run anaconda-cloud-auth=0.6 pydantic=2.7.0


Make sure to check the compatibility of the packages you choose to install.

Setup for development#

Ensure you have conda installed. Then run:

make setup

Run the unit tests#

make test

Run the unit tests across isolated environments with tox#

make tox