The Anaconda Assistant conda plugin
conda install anaconda-cloud::anaconda-assistant-condaconda install anaconda-cloud/label/broken::anaconda-assistant-condaconda install anaconda-cloud/label/dev::anaconda-assistant-conda
pip install -i https://pypi.anaconda.org/anaconda-cloud/simple anaconda-assistant-condapip install -i https://pypi.anaconda.org/anaconda-cloud/label/broken/simple anaconda-assistant-condapip install -i https://pypi.anaconda.org/anaconda-cloud/label/dev/simple 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.
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
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
You can ask the Anaconda Assistant for help finding a conda package. Here you can use natural language to describe what you're looking for. The assistant will recommend a package you can install and provide a short example of its use.
> conda assist search "A package to read csv files"
Hello from Anaconda Assistant!
Package: pandas
Command to install: conda install pandas
Description: Pandas is a powerful data manipulation and analysis library for Python, which provides data structures like
DataFrames to easily read, write, and manipulate CSV files.
Example code:
import pandas as pd
# Read a CSV file
data = pd.read_csv('file.csv')
# Display the first few rows of the DataFrame
print(data.head())
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.
Ensure you have conda installed.
Then run:
make setup
make test
make tox