Stateless Request
A Stateless Request uses only data sent in that call. It does not assume the model remembers earlier calls.
Another example
Each invoice call includes its schema, policy version, and document. Any worker can retry it independently.
Main parts
- 01User intent and context
- 02Model or tool decision
- 03Grounded result and fallback
Use it when
Use it for scalable, repeatable work. The application must manage state, safe retries, and full conversations.
Do not use it when
Do not omit needed past decisions, assume earlier prompts still apply, or blindly retry actions with side effects.
Name used in code
request carries all required state Before you ship
Check the model and prompt versions, source data, versioned evaluation set, and measures. Verify links to evidence, tool permissions, privacy, common failures, decline-to-answer and fallback behavior, human review, monitoring, cost, speed, and rollback.
Outcome: Use or evaluate Stateless Request to make AI behavior measurable and tied to evidence. User context: Each invoice call includes its schema, policy version, and document. Any worker can retry it independently. AI method or concept: Stateless Request. Why it fits: Use it for scalable, repeatable work. The application must manage state, safe retries, and full conversations. Do not use it when: Do not omit needed past decisions, assume earlier prompts still apply, or blindly retry actions with side effects. AI requirements: Define the input and source evidence. Set model and tool permissions. Use versioned evaluation data and measures. Define failure, decline-to-answer, privacy, speed, and cost limits. Operational safeguards: Keep a clear trace and hide sensitive log data. Show users a safe fallback. Mark steps that need human review. Define how to roll back the model or prompt. Acceptance criteria: Record baseline and target measures on a versioned evaluation set. Test edge cases and hostile inputs. Verify fallback, monitoring, permissions, and rollback. Evidence and limits (evidence boundary): No single official standard controls the whole term. Its meaning may change across teams, platforms, or frameworks. Unknowns to confirm: Target task, model and version, evaluation owner, source data, risk limit, tool permissions, and production fallback.
Check this request
Review the current use of Stateless Request. Definition: A Stateless Request uses only data sent in that call. It does not assume the model remembers earlier calls. Release checks: Check the model and prompt versions, source data, versioned evaluation set, and measures. Verify links to evidence, tool permissions, privacy, common failures, decline-to-answer and fallback behavior, human review, monitoring, cost, speed, and rollback. Before changing code, report the evidence you found, gaps, severity, and the smallest safe fix.