shell-ai 0.3.23

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Shell-AI: let AI write your shell commands

Shell-AI (shai) is a CLI utility that brings the power of natural language understanding to your command line. Simply input what you want to do in natural language, and shai will suggest single-line commands that achieve your intent. Under the hood, Shell-AI leverages the LangChain for LLM use and builds on the excellent InquirerPy for the interactive CLI.

Installation

You can install Shell-AI directly from PyPI using pip:

pip install shell-ai

After installation, you can invoke the utility using the shai command.

Usage

To use Shell-AI, open your terminal and type:

shai run terraform dry run thingy

Shell-AI will then suggest 3 commands to fulfill your request:

• terraform plan
• terraform plan -input=false
• terraform plan

Features

• Natural Language Input: Describe what you want to do in plain English (or other supported languages).
• Command Suggestions: Get single-line command suggestions that accomplish what you asked for.
• Cross-Platform: Works on Linux, macOS, and Windows.
• Azure Compatibility: Shell-AI now supports Azure OpenAI deployments.

Configuration

Environment Variables

1. OPENAI_API_KEY: Required. Set this environment variable to your OpenAI API key. You can find it on your OpenAI Dashboard.

Optional Variables

1. OPENAI_MODEL: Defaults to gpt-3.5-turbo. You can set it to another OpenAI model if desired.
2. OPENAI_MAX_TOKENS: Defaults to None. You can set the maximum number of tokens that can be generated in the chat completion.
3. SHAI_SUGGESTION_COUNT: Defaults to 3. You can set it to specify the number of suggestions to generate.
4. OPENAI_API_BASE: Defaults to https://api.openai.com/v1. You can set it to specify the proxy or service emulator.
5. OPENAI_ORGANIZATION: OpenAI Organization ID
6. OPENAI_PROXY: OpenAI proxy
7. OPENAI_API_TYPE: Set to "azure" if you are using Azure deployments.
8. AZURE_DEPLOYMENT_NAME: Your Azure deployment name (required if using Azure).
9. AZURE_API_BASE: Your Azure API base (required if using Azure).
10. CTX: Allow the assistant to keep the console outputs as context allowing the LLM to produce more precise outputs. IMPORTANT: the outputs will be sent to OpenAI through their API, be careful if any sensitive data. Default to false.

You can also enable context mode in command line with --ctx flag:

shai --ctx [request]

Configuration File

Alternatively, you can store these variables in a JSON configuration file:

• For Linux/macOS: Create a file called config.json under ~/.config/shell-ai/ and secure it with chmod 600 ~/.config/shell-ai/config.json.
• For Windows: Create a file called config.json under %APPDATA%\shell-ai\

Example config.json:

{
  "OPENAI_API_KEY": "your_openai_api_key_here",
  "OPENAI_MODEL": "gpt-3.5-turbo",
  "SHAI_SUGGESTION_COUNT": "3",
  "CTX": true
}

The application will read from this file if it exists, overriding any existing environment variables.

Run the application after setting these configurations.

Contributing

This implementation can be made much smarter! Contribute your ideas as Pull Requests and make AI Shell better for everyone.

Contributions are welcome! Please read the CONTRIBUTING.md for guidelines.

License

Shell-AI is licensed under the MIT License. See LICENSE for details.