amoghrajesh opened a new pull request, #73160:
URL: https://github.com/apache/airflow/pull/73160
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Retries, backoff, and fallbacks decide whether and when a task gets another
attempt. The task state store decides what that next attempt remembers. Airflow
has documented these as two unrelated features, so there was nowhere that
explained how they compose, or when a task needs both.
This is a real gap for long-running or LLM-driven tasks: an agent-style task
that makes a judgment call mid-run and takes hours or days to finish needs a
retry policy that can tell a rate limit apart from bad credentials, and a state
store that keeps its progress intact if a worker crashes partway through.
Neither of the existing pages said so.
Add a "Retry policies and durable execution" section to the resumable tasks
page that lays out what each primitive is responsible for, when to use both
together, and how they interact (they are independent: a task still stops after
its configured retry count regardless of what state it has checkpointed).
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