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cli-agent's Introduction

Pieces CLI for Developers

Pieces Python CLI Tool

This is a comprehensive command-line interface (CLI) tool designed to interact seamlessly with Pieces OS. It provides a range of functionalities such as asset management, application interaction, and integration with various Pieces OS features.


Table of Contents

Operating System Support

The Pieces Python CLI Tool is compatible with various operating systems, ensuring a wide range of usage and adaptability. While it offers full support across most systems, specific features might have varied performance based on the OS environment.

The CLI Supports

  • Windows 10 or greater
  • Mac
  • Windows

Installing

To get started with the Pieces Python CLI Tool, you need to:

  1. Ensure Pieces OS is installed and running on your system.

  2. Install the Python package:

    pip install pieces-cli
    brew install pieces-cli
    conda install pieces-cli

Getting Started

After installing the CLI tool, you can access its functionalities through the terminal. The tool is initialized with the command pieces followed by various subcommands and options.

Usage

Run

The run command starts the CLI in a loop. While you can use each command without running the CLI in a loop you'll get much faster results and a better experience using run.

Once the CLI is running in a loop you can simply type the command.

For instance: 
open

Instead of: 
pieces open

If you have a numbered list or search open you can just type the number and it will open the asset associated.

  pieces run

List command

To list assets applications or models, use the command:

Default of 10 assets
pieces list
Lists your x most recent assets
pieces list assets x
Lists all registered applications
pieces list apps
Lists all accessible AI models
pieces list models
Open an asset:

Opens an asset from a list or search. If only "open" is used then it will open your most recent asset. This also creates a link to the asset's code.

pieces open [ITEM_INDEX]
Save, Create, Edit, and Delete Assets

The save create edit and delete commands currrently work on the current asset which is by defualt set to the most recent one and you can change the current asset to anything using the open command above.

Save the current asset:

You need to edit the snippet code that was opened via the open command pieces open then save the changes to using the save command

pieces save
Create a new asset:

Will take whatever text is copied to your clipboard and create an asset. The asset will automatically be scanned and recognized for it's file type.

pieces create
Edit an existing asset:

This will edit the name and reclassify the current asset.

pieces edit

This is used to edit both the classification and name of an asset.

pieces edit --name "new name"

to edit the name

pieces edit --classification python

to edit the classification

You can you -n or -c to change the name and classification respectively with the edit command.

Delete an asset:

This will delete an opened asset by using list or search first. If you do not have an opened asset it will open your most recent asset and ask if you'd like to delete it.

pieces delete

Search and Query

Perform a fuzzy search:
pieces search [your query]

Finds strings that approximately match patterns. Normal search.

Perform a Neural Code Search:
pieces search query --mode ncs

Uses machine learning, deep neural networks, and natural language processing. It can understand the intent of a user's search query and match it with the most relevant results.

Perform a Full Text Search:
pieces search query --mode fts

Examines all words in a document to find matches to search criteria.

change the llm model you are using:

Change the model in the ask command.

pieces change_model [MODEL_INDEX]
Ask a question to a model:

** Requires quotes around question **

Ask the copoilt a question it uses chatGPT3 as a defualt model to ask a question, you can change the model using the change model command.

pieces ask "your question"
Commiting to github

Auto commit the code to github and generate a commit message you can use the -p or --push flags to push the code to the repo too

pieces commit -p

Login and logout

Login to pieces

pieces login

Logout from pieces

pieces logout

Additional Commands

Retrieve the version of Pieces OS and the CLI:
pieces version
For a detailed help menu:
pieces help
Supported Versions
  • Windows 10 or Greater
  • Mac (insert later)
  • Linux (insert later)

It is advised to keep the CLI tool updated to the latest version to ensure compatibility with Pieces OS and access to all features. Please refer to our documentation for details on supported versions.

Contributing

Installation

To run this project locally, follow these steps:

  1. Fork this project via GitHub.

  2. Clone this project:

git clone https://github.com/pieces-app/cli-agent
  1. Create a Virtual Environment
python3 -m venv venv
  1. Activate Your Virtualenv
source venv/bin/activate for Mac & Linux OS

cd venv\Scripts for Windows OS
activate 
  1. This project uses poetry for managing dependencies and builds. Install poetry with:
pip install poetry
  1. Then use poetry to install the required dependencies
poetry install
  1. You build with
poetry build
  1. Finally any project dependencies should be added to the pyproject.toml file with
poetry add 
  1. Open the Dist folder
cd dist
  1. Install the WHL file
pip install pieces-{VERSION}-py3-none-any.whl 

replace the VERSION with the version you downloaded Note: Ensure you get latest from the releases of the cli-agent

  1. To view all the CLI Commands
pieces help 

these can be local/github/pypi etc.

Updating

To update the project, run the following command:

pip install pieces --upgrade

Uninstallation

To uninstall the project, run the following command:

pip uninstall pieces

and don't forget to remove the virtual environment and dist folder

cli-agent's People

Contributors

bishoyhanyraafat avatar hal-8999-alpha avatar sam-at-pieces avatar mark-at-pieces avatar sophyia7 avatar dom-pieces avatar caleb-at-pieces avatar perfectdark-j avatar shivay-at-pieces avatar

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