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If an AI agent’s state-changing API call times out after being sent, the outcome is unknown—not necessarily failed. The provider may have completed the operation even though the response never reached the agent. Preserve the operation’s identity, check authoritative provider state, and only retry a mutation when the provider’s documented idempotency rules make that safe.
Why a timeout does not tell you whether the transaction succeeded
A timeout tells the client that it did not receive a response before its deadline. It does not establish whether the request reached the provider or whether the provider committed the change. A response can be lost after the operation completes.
That distinction matters for database commits as well as remote APIs. PostgreSQL documents that a successful COMMIT makes a transaction’s changes visible to other transactions and durable against a crash. Those semantics do not guarantee that a client whose connection timed out received confirmation. Treat a timeout around commit as ambiguous unless you have evidence of an abort or successful commit. See the PostgreSQL COMMIT documentation.
What to do after a state-changing call times out
- Before dispatch, create a durable operation record. Assign a stable ID to the intended logical action and store its purpose, an appropriate normalized request fingerprint, and attempt metadata. If the provider supports idempotency keys, bind one to this logical operation—not to each network attempt. The exact record schema depends on the application.
- On a timeout, record
outcome_unknown. If the request may have reached the provider, do not mark it failed solely because the client deadline expired. Preserve the original parameters, idempotency key, and any request or provider operation ID you received. - Look for authoritative evidence. Use a documented provider status endpoint or transaction history with the provider operation reference, or inspect request logs using the request ID. Follow the provider’s state model and account for any documented read delays, rate limits, and permissions. There is no universal status endpoint or consistency window.
- Act only on what the evidence supports. Record success when confirmed. Record non-execution or rollback only when the provider supplies evidence for it. If the result remains inconclusive, leave it unresolved, observe again later, or escalate under your application’s policy.
- If replay is documented as safe, preserve the operation. Reuse the same idempotency key and the same request parameters within the provider’s stated scope and retention period. A new key can identify a new mutation and cause the intended effect to happen twice.
- Make recovery safe to repeat. Reconciliation jobs, compensation steps, and operator replays can also be interrupted or retried. Persist their progress and prevent concurrent workers from creating a second logical mutation; the specific locking and storage design is application-specific.
How to use idempotency keys safely
An idempotency key lets a provider recognize retries of the same intended request, but it is a provider-specific contract—not a universal guarantee. Confirm the documented endpoint and account scope, parameter-matching rules, behavior for errors and concurrent requests, and key-retention period before relying on it.
Stripe’s documented behavior
Stripe’s idempotent requests reference says it saves the first status code and response body after endpoint execution begins, including error responses. Reusing the same key with different parameters produces an error. Validation failures and concurrent conflicts that occur before execution begins do not save an idempotent result.
Stripe says it may remove keys once they are at least 24 hours old. After a key is pruned, reusing it can initiate a new request. That retention detail applies to Stripe; it is not a general API rule. Check the relevant provider’s documentation before replaying an old operation.
A saved error response also has limits: retrying with the same key can return the same cached 500 rather than trigger a fresh execution or reveal the operation’s business outcome. If the provider offers a separate status lookup, use that to reconcile. If the key may have expired, establish the operation’s status or escalate before sending a new mutation.
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Keep request IDs and provider operation references
Retain identifiers that can connect your local operation record to provider evidence. Stripe, for example, returns a request identifier in the Request-Id response header and includes request IDs in individual request-log URLs. Its request IDs reference describes where to find them. A request ID can help locate an attempt in logs; it is not, by itself, proof that the intended business operation succeeded.
Where a provider exposes a distinct operation or transaction reference, store that too. Use the reference to query the provider’s documented status or transaction history. A request log may establish that a request was made, while a status record may establish what happened to the transaction; distinguish the evidence each source actually provides.
What to do when provider state is still inconclusive
If the available records cannot establish success or non-execution, keep the state unknown rather than turning uncertainty into a blind second mutation. Retry observation later if that is appropriate, or route the case to an application-specific operator or escalation policy. Do not label the operation failed simply to clear it from a queue.
Evaluate any recovery source against the questions that determine whether it can support action:
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- Duplicate protection: Does deduplication cover this exact endpoint and payload?
- Retention: How long are the key and operation record retained, and what changes after expiry?
- Visibility: Can a completed operation temporarily be absent from the status view you are checking?
- Failure semantics: Are server errors cached, and are validation failures or in-progress conflicts handled differently?
- Recovery ownership: Can an automated process safely decide what to do, or does the unresolved case require a person?
Keep local records and remote side effects distinct
A local database commit and a remote provider action are separate systems unless an explicit coordination mechanism joins them. Committing a local operation record does not, by itself, prove that a remote API call succeeded; receiving a remote response does not automatically make the local record durable. Track and reconcile both sides rather than treating one as evidence for the other.
For a local PostgreSQL transaction, use durable application operation records and evidence appropriate to PostgreSQL. Do not assume that an API provider’s idempotency key rules apply to a database commit, or that a local transaction can atomically commit an arbitrary remote side effect.
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