Skip to main content

implement-idempotent-requests

Implement idempotent write requests that survive client retries, timeouts, concurrency, and process failure. Use when repeating an operation must not duplicate its business effect.

Quellinformationen

Repository
protosphinx/sphinxstack
Letzte Quellaktivität
29. Juli 2026 um 13:55
Erkannte Sprache von SKILL.md
Englisch
Sterne
3
Forks
0

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

Datei-Explorer
2 Dateien

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
implement-idempotent-requests
category
code
description
Implement idempotent write requests that survive client retries, timeouts, concurrency, and process failure. Use when repeating an operation must not duplicate its business effect.
# implement-idempotent-requests Bind one caller intent to one durable outcome, including a stable replayed response. ## Procedure 1. Define the operation's business effect, duplicate risk, and the point at which it becomes committed. 2. Require a high-entropy idempotency key scoped to principal, tenant, endpoint, and operation class. 3. Fingerprint the normalized request so reuse with different input becomes a conflict. 4. Atomically reserve a new key and distinguish new, in-progress, completed, expired, and conflicting states. 5. Commit the business mutation and durable result in one transaction or a recoverable state machine. 6. Return the recorded status and body for a matching completed request. 7. Define bounded waiting or retry guidance for an in-progress request. 8. Retain keys for at least the credible retry window and expire them through a documented policy. 9. Reconcile abandoned reservations and ambiguous downstream outcomes before allowing new effects. 10. Test parallel duplicates, timeout-after-commit, crash points, changed payloads, expiry, and multi-instance execution. ## Guardrails - Do not rely on an in-memory lock in a horizontally scaled service. - Never silently accept the same key for a materially different request. - Avoid expiring evidence before clients and downstream systems can finish credible retries. ## Done - Key scope, request fingerprint, state machine, and retention are documented - Concurrency and crash-point tests prove one business effect - Idempotency records reconcile with mutations and replayed responses
Auf GitHub ansehen