Alfreds CLI
Project description
Alfreds CLI Tool
Alfreds (www.alfreds.ai) is the LLM platform for data teams. It enables data teams to create LLM agents that can be used in different stages of data workflows. Alfreds command-line tool allows data teams to install alfreds platform on their local machines and perform various tasks.
Prerequisites
- Python 3.6 or higher
- Docker
- Linux or macOS
Installation
To install alfreds, run the following command:
pip install alfreds
Usage
Alfreds can perform the following tasks:
-
Initialize alfreds:
alfreds init --agent_path {agent_absolute_path} --working_dir {working_dir_absolute_path} --seed_dir {seeds_absolute_path(optional)}
This command initializes alfreds with the specified agent, working directory, and seeds (optional).
Example:alfreds init --agent_path /Users/subu/alfreds/agent --working_dir /Users/subu/alfreds/working_dir --seed_dir /Users/subu/alfreds/seeds
-
Update the agent:
alfreds update_agent {agent_absolute_path}
This command updates the agent with the specified absolute path.
Example:alfreds update_agent /Users/subu/alfreds/agent
-
Update the working directory:
alfreds update_working_dir {working_dir_absolute_path}
This command updates the working directory with the specified absolute path.
-
Seed the application:
alfreds seed {seed dir/csv file absolute path}
This command seeds the application with the specified seed directory or CSV file.
-
Stop alfreds:
alfreds stop
This command stops the alfreds application.
-
Start alfreds:
alfreds start
This command starts the alfreds application.
-
Refresh alfreds:
alfreds refresh
This command refreshes the alfreds application.
-
Alfreds Help:
alfreds --help
This command displays the help menu for alfreds.
Please note that you need to provide the absolute paths for the agent, working directory, and seeds when using the respective commands.
If you have any questions or need further assistance, please refer to the alfreds documentation or contact our support team.
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