Gears is a lightweight tool for writing control flow with LLMs with full control over your prompts. It allows you to build complex chains of actions and conditions, and execute them in a single call.
Gears is so minimal; it is simply a wrapper around an LLM API call that:
- Allows you to specify your prompts as Jinja templates and inputs as Pydantic models
- Automatically handles LLM API failures with exponential backoff
- Allows you to specify control flow, based on LLM responses, in a simple, declarative way
But the real selling point is that we are committed to not growing the codebase beyond what is necessary to support the above features. (We are not venture-backed and do not intend to be.)
Gears is available on PyPI, and can be installed with pip:
pip install gearsllmGears has the following dependencies:
python>=3.9pydanticjinja2tenacityopenai
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