🗺 RidgeText Introduces Layer-First Architecture for Map Generation
The system solves the problem of LLM context window overload. Instead of passing heavy GeoJSON data (up to 125,000 tokens) through the model, orchestration is used: the LLM only manages lightweight layer identifiers, while the data itself is processed on the server. This allows the use of Mapbox for rendering while keeping token consumption at approximately 150 per request.
🌍 The architecture eliminates the "LLM as a data pipe" pattern, where the model does not make decisions but simply forwards information. This is critical for the scalability of AI agents.
👤 If you are building AI agents, do not force the model to "swallow" raw data. Move heavy processing logic to the server, leaving the model in the role of a command dispatcher.