terminal-ai-assistant 3.0.1

TAI [Terminal AI], a terminal AI assistant

TAI [Terminal AI], a terminal AI assistant

TAI is a CLI that helps you with Linux and macOS terminal commands. Just ask it a question, and it will use AI to suggest a command and explain what it does. If you like the suggestion, the script can automatically run the command for you in your terminal.

BREAKING

Changing the name from lfg to tai. The package name is changed from lfg-llama to terminal-ai-assistant.

Why & What?

• Github Copilot CLI syntax feels clunky to me
• Faster than using Gemini, ChatGPT or similar in a browser
• Simpler to find answers without checking man pages
• NEW: Switching to the free GPT-4o model
• NEW: Now you can run commands right from this command-line interface
• NEW: New package name terminal-ai-assistant

However, never trust the output entirely.

Installation

# install pipx
brew install pipx

# add pipx binaries to path
pipx ensurepath

# restart your terminal
# install TAI
pipx install terminal-ai-assistant

Usage

This executable is using OpenAI, that means you need and API token.

GPT-4o is free to use.

Add the token to your .bashrc/.zshrc and reload your terminal.

export OPENAI_API_KEY={replace_me}

You can use either of these commands

$ tai <query>

Now you can use the executable

$ tai kill port 3000

fuser -k 3000/tcp

Explanation:
The `fuser` command identifies processes using files or sockets. The `-k` option is used to kill th
ose processes. Here, `3000/tcp` specifies the TCP port number 3000. This command effectively kills
any process currently using port 3000.

> Execute the command? (N/y):

Change the LLM

$ tai get pods from all namespaces

kubectl get pods --all-namespaces


Explanation:
The `kubectl get pods --all-namespaces` command lists all the pods across all namespaces in a Kuber
netes cluster. The `--all-namespaces` flag is used to fetch the pods from every namespace instead of the default namespace.

> Execute the command? (N/y):

Development

pip install --user pipenv
pipenv --python 3.11
pipenv install

pipenv run tai kill port 3000

TODO

• Fix the setup and pyproject file, including github workflow for releasing the package