Skip to main content

Intelligent terminal like thinking.

Project description

Mind Terminal

Overview

Terminal large language model client implemented using Python with a modular architecture.

Technology Stack

  • Use UV to manage development environments and third-party dependencies.
  • Use the prompt-toolkit to handle user input and interaction.
  • Interact with the backend large language model service using openai-python
  • Use the rich library to beautify terminal display.
  • Use Pytest testing ensures the correctness of each module and function.

Features

  • Handle user input
  • Interact with the backend large language model
  • Write unit tests for interacting with LLM
  • Beautify terminal display with Rich formatting
  • Modular code structure
  • Configuration management
  • Error handling

Installation

Ensure you are using Python 3.11 or later (but less than 4.0).

pip install mindterm --user

Usage

Set your OpenAI API key as an environment variable:

export OPENAI_API_KEY=your-api-key-here

Then run the application:

mt

Commands

  • \chat - Start a chat session (default mode)
  • \bye - Exit the application
  • \help - Show available commands

Testing

Tests for the app are included using pytest. To run the tests, simply execute:

uv run pytest

Project Structure

src/
├── mindterm/
│   ├── __init__.py
│   ├── config.py      # Configuration management
│   ├── client.py      # LLM client
│   ├── ui.py          # Terminal UI components
│   ├── commands.py    # Command handling
│   └── main.py        # Main application logic
tests/
├── test_config.py     # Tests for configuration
└── test_commands.py   # Tests for command handling

Contributing

Contributions are welcome! If you have ideas for improvements, bug fixes, or additional features, feel free to open an issue or submit a pull request.

License

This App is open-source software released under the MIT License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mindterm-0.1.9.tar.gz (41.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mindterm-0.1.9-py3-none-any.whl (6.2 kB view details)

Uploaded Python 3

File details

Details for the file mindterm-0.1.9.tar.gz.

File metadata

  • Download URL: mindterm-0.1.9.tar.gz
  • Upload date:
  • Size: 41.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.8

File hashes

Hashes for mindterm-0.1.9.tar.gz
Algorithm Hash digest
SHA256 f3999a78988f996a57fa463ff8e6834fe3e2b2d8dc16b5b6771c533f84061f34
MD5 dbbd87ba41aaef7132783f617e0f059d
BLAKE2b-256 4b442f61069d6ce5245136c8b6ee5be125ab22d318dcc38ee0aa06772b588deb

See more details on using hashes here.

File details

Details for the file mindterm-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: mindterm-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 6.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.8

File hashes

Hashes for mindterm-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 e8496e4cb41b33c24200e727509f583f7b531293871fb8f8e2bc192fecc8842c
MD5 2595149308d35084c721951b64006f42
BLAKE2b-256 05491ea3816476dbfbe7e8e0a5a7cf1a87c0afc49f547174072eb7b366f5526a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page