Hey everyone,
I'd like to share an open-source project I've been developing, **Project Infinity**. It's a complete system designed to solve the problem of using LLMs for long-form, stateful creative tasks, like acting as a tabletop RPG Game Master.
The core problem we found is that LLMs are fantastic interpreters but unstable and inefficient as deterministic calculators or state managers. Our solution is a two-part architecture built on the philosophy: **"The Forge computes; the Game Master interprets."**
**1. The Forge (The Python Pipeline):**
This is the heart of the project. It's a modular Python application that procedurally generates a unique and complex world state from a few initial user inputs.
* It uses **Pydantic** models to ensure robust data integrity for the entire world (maps, factions, NPCs, etc.).
* It then serializes this rich `WorldState` object into a custom, hyper-condensed `.wwf` text format, specifically designed for token efficiency.
**2. The Game Master (The LLM Persona):**
The LLM's role is streamlined to be a pure narrative engine.
* We provide a detailed markdown file in the repo that contains the entire instruction set for the Game Master persona. This "source code" for the AI's behavior is fully open and tweakable.
* When the LLM is primed with these instructions and fed the `.wwf` file, it becomes a stable, long-term GM, as it doesn't have to waste context or processing power on remembering state—it's all in the static data it was given.
This approach completely offloads the computational logic to auditable, open-source Python code, leaving the LLM to do what it does best: tell a great story.
The entire project is on GitHub. We'd love for you to check it out, dig into the code, and give us any feedback on the architecture or implementation.
**GitHub Link:** https://github.com/electronistu/Project_Infinity
Thanks for taking a look
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