ola-ai 1.0.1

No project description provided

OLA-AI (OpenAI Compatible Language Assistant) CLI

OLA-AI is a command-line interface tool that helps you create, manage, and run AI-powered prompts using OpenAI Compatible API.

Installation

You can install OLA-AI directly from PyPI:

pip install ola-ai

After installation, set up your OpenAI API key:

ola update_env --key=your_api_key --model=gpt-4o-mini --url=https://api.openai.com/v1

Config will be saved to ~/.ola_env file

Dependencies

OLA-AI relies on the following Python packages:

• Click
• PyYAML
• openai
• python-dotenv

These will be automatically installed when you install OLA-AI via pip.

Usage

Creating a prompt

To create a new prompt:

ola create [name] [prompt]

Prompts will be saved in ~/.ola_config.yaml file Example:

ola create joke "You are a comedian. Tell a joke about the topic the user provides."

Running a prompt

To run a saved prompt:

ola run [name] [user_input]

Example:

ola run joke "programming"

Listing prompts

To list all saved prompts:

ola list

Deleting a prompt

To delete a saved prompt:

ola delete [name]

Updating environment variables

To update the API key, model, or API base URL:

ola update_env --key=your_api_key --model=gpt-4o-mini --url=https://api.openai.com/v1

Listing environment variables

To view the current environment settings:

ola list_env

Checking the version

To check the version of the OLA-AI CLI:

ola --version

Troubleshooting

1. API Key Issues: If you're getting authentication errors, make sure you've set your API key correctly using the update_env command.

2. Command Not Found: If you're getting a "command not found" error, ensure that the installation directory is in your system's PATH.

3. Unexpected Errors: Check the ola.log file in your current directory for more detailed error information.

Roadmap

• Add support for multiple AI models
• Implement a web interface
• Add collaborative features for sharing prompts

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License.

Support

If you encounter any problems or have any questions, please open an issue on the GitHub repository.