Conversation History
Conversation History is earlier chat and useful state passed into later turns. It is often filtered or summarized.
Another example
A travel helper keeps agreed dates and accessibility needs, drops old hotels, and asks before reusing preferences on another trip.
Main parts
- 01User intent and context
- 02Model or tool decision
- 03Grounded result and fallback
Use it when
Keep only history needed to continue. Explain saving, deletion, privacy, and summary rules.
Do not use it when
Do not replay endless history or keep facts known to be wrong. Never cross user or workspace boundaries or claim memory the system lacks.
Name used in code
ordered messages + summary + retention policy 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 Conversation History to make AI behavior measurable and tied to evidence. User context: A travel helper keeps agreed dates and accessibility needs, drops old hotels, and asks before reusing preferences on another trip. AI method or concept: Conversation History. Why it fits: Keep only history needed to continue. Explain saving, deletion, privacy, and summary rules. Do not use it when: Do not replay endless history or keep facts known to be wrong. Never cross user or workspace boundaries or claim memory the system lacks. 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 Conversation History. Definition: Conversation History is earlier chat and useful state passed into later turns. It is often filtered or summarized. 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.