gearsllm 0.1.18

Lightweight library for building LLM-based control flow.

Welcome to Gears

Gears is a lightweight framework 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.

Why Gears?

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 will not suffer the bloat of a venture-backed open source project; we are committed to not growing the codebase beyond what is necessary to support the above features.

Installation

Gears is available on PyPI, and can be installed with pip:

pip install gearsllm

ToDos

• Run examples in docs + add outputs
• Add pre-commit hooks with black & isort