E2LLM has released SiFR, a new format specification for capturing web page data, along with its associated taxonomy and model skills. Unlike typical autonomous agents that can perform any action, E2LLM functions as a perception layer, providing language models with structured browser senses and a limited set of gated actuators. The SiFR format is designed to be deterministic and token-efficient, ranking nodes by salience and flattening them into a relational model, distinguishing it from DOM dumps and accessibility trees. The system includes nine tools, with five dedicated to read-only perception and four for interaction, ensuring that state-changing actions are narrowly defined and can be gated for user confirmation. AI
IMPACT Provides a structured, deterministic way for LLMs to perceive and interact with web pages, potentially improving reliability in browser-based AI tasks.
RANK_REASON Release of a new format specification and associated tools for web page data capture, differentiating itself from autonomous agents.
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