ez-prompt 0.1.3

An easy-to-use library for creating and seinding prompts to LLMs.

ezprompt

An easy-to-use library for creating and sending prompts to various LLMs.

Features (Planned)

• Simple prompt definition using Markdown and Jinja templating.
• Automatic input validation against prompt templates.
• Model selection from a wide range of providers.
• Context length validation with suggestions for suitable models.
• Cost estimation before sending prompts.
• Up-to-date model information (context size, pricing).
• Asynchronous support for concurrent prompt execution.

Installation

pip install ez-prompt

Basic Usage

See the supported models by running:

from ez_prompt import list_models

list_models()

Then, create a template, choose your model, provide an API key, format and send. Sending is asynchronous by default.

import asyncio
from ez_prompt import Prompt

async def main():
    # Define a prompt template (details TBD)
    prompt_template = """
    Translate the following text from {{ source_lang }} to {{ target_lang }}:

    {{ text }}
    """

    # Initialize the prompt
    my_prompt = Prompt(
        template=prompt_template,
        model="gpt-3.5-turbo",
        api_key="your_api_key"
    )

    # Format the prompt with inputs
    my_prompt.format(
        inputs={"source_lang": "English", "target_lang": "French", "text": "Hello, world!"},
    )

    # Send the prompt
    response = await my_prompt.send()
    print(f"Model response: {response}")

if __name__ == "__main__":
    # Required environment variables (e.g., OPENAI_API_KEY)
    # Set them according to the model provider you use.
    asyncio.run(main())

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the MIT License.