A system receives information, changes or interprets it, and produces a result. Naming these three parts exposes what a graph node consumes and what downstream nodes may rely on.

Inputs, Transformations, and Outputs

In this situation—turning a spoken grocery request into a checked shopping list—which choice best applies “Inputs, Transformations, and Outputs”?

A multi-agent message should identify sender, recipient or topic, intent, payload, correlation, and expected response. Structured messages reduce ambiguity and make conversations traceable.

Messages Need Intent and Context

An observation supplies evidence about the environment; an action attempts to change it or obtain more evidence. Confusing the two can make an agent treat guesses as real-world results.

Observation and Action Are Different

A prompt is an input contract for a model node. Treating it as versioned configuration makes its role, assumptions, output schema, and evaluation history visible.

Prompts Are Versioned Node Inputs

State is the minimum information needed to choose and continue work at a point in the graph. It can include observations, progress, decisions, and permissions—not an indiscriminate transcript dump.

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