LangGraph-powered content generator using Google Gemini
The project offers a CLI and library to generate, evaluate, and iteratively improve content via Gemini models, stopping when a quality threshold is met. It defines a LangGraph workflow with distinct nodes for generation, scoring, and delivery, and includes unit tests that mock LLM calls. Ideal for developers needing automated, quality‑controlled text creation without manual prompting, and it improves on ad‑hoc scripts by providing a structured, retry‑aware pipeline.
View on GitHub →aruntharun1996/Langgraph-content-generation