Choose an AI trace retention policy by record purpose

Choose trace retention by identifying each record’s purpose, sensitivity, access needs, and applicable obligations. Do not assign every prompt, event, and review record the same period simply because they appear in one dashboard.

Separate the records before choosing dates

A request identifier used for aggregate operations, raw conversation content, a reviewer decision, and a temporary debug attachment may serve different purposes. Record the owner and necessity of each. The responsible privacy, security, or legal reviewer should determine obligations for the actual deployment; this guide supplies no universal retention period.

Create a reviewable inventory

1. List stored fields and derived copies, including exports, backups, caches, and error attachments.
2. Document why each class is retained and who needs access.
3. Assign a handling decision for expiration, approved preservation, deletion requests, and operational recovery.
4. Test the workflow with synthetic records and record stores that were not covered.

Read the synthetic expiration decisions

The example has an expired temporary attachment, an active event reference, and an expired record under an approved hold. It classifies them into delete, keep, and hold. The timestamps and decisions are invented to explain the workflow; they are not legal retention recommendations.

Verify operation rather than relying on a policy page

Check deletion-job failures, tombstones, backup restoration, and newly introduced stores. A successful job count does not prove every selected record disappeared. Maintain a way to investigate exceptions without retaining the sensitive material the policy intended to remove.

Run the worked example

Save the synthetic Node.js example and run node choose-ai-trace-retention-by-purpose.mjs with Node.js 22 or newer. The assertions check the illustrated records and calculations; they do not test a deployed provider, SDK, or access control. No credentials or network connection are needed.

// Synthetic teaching fixture. No credentials, network calls, or production verification.
import assert from 'node:assert/strict';

const now = 100;
const records = [
  { id: 'debug', expiresAt: 90, approvedHold: false },
  { id: 'event-reference', expiresAt: 150, approvedHold: false },
  { id: 'review-evidence', expiresAt: 90, approvedHold: true },
];
const action = row => row.approvedHold ? 'hold' : row.expiresAt <= now ? 'delete' : 'keep';
assert.deepEqual(records.map(action), ['delete', 'keep', 'hold']);
console.log(JSON.stringify(records.map(r => ({ id: r.id, action: action(r) }))));

References and further reading

• DriftRail integration documentation

Maintained by DriftRail. AI assisted the October 2026 content and template revision. Examples are illustrative; they are not measured product benchmarks. Suggest a correction.