LLM Reasoning

An informal way to describe how much an AI system can observe, plan, call tools, and act. It is not a standardized maturity score, a measure of trustworthiness, or permission to give an agent broad authority.

A wallet or smart-account workflow that gives software an explicitly bounded ability to prepare or execute actions. It is an implementation pattern, not an ERC-4337 feature, safety guarantee, or reason to grant a model unrestricted signing authority.

The part of an AI workflow that collects and labels inputs such as blockchain records, market data, and public communications. It supplies context for review; it does not establish truth, identify people, predict prices, or justify an action.

The maximum input and output token capacity a model can handle in one request, subject to the model and provider configuration. It is a capacity limit, not dependable memory, data verification, or a measure of reasoning quality.

The practice of designing model instructions, examples, context, and output constraints for a bounded task. It can make a workflow easier to evaluate; it does not make model output deterministic, correct, secure, or suitable for a financial decision.