# Procurement Reviews Now Ask How AI Platform Data Is Deleted; FastGPT Publishes Retention Periods and Deletion Semantics

- Link: https://www.thailand-business-news.com/pr-news/procurement-reviews-now-ask-how-ai-platform-data-is-deleted-fastgpt-publishes-retention-periods-and-deletion-semantics
- Published: 2026-09-04T12:56:00+07:00
- Author: PR Newswire

Retention windows for conversation records, model-call traces and audit logs are
now documented with their configuration variables and defaults

HANGZHOU, China, Sept. 4, 2026 /PRNewswire/ — FastGPT, an open-source AI application
platform for organizations, has consolidated in its public documentation how four
classes of data are retained and removed: conversation records, knowledge base files,
model-call traces and audit logs. The items were previously spread across a privacy
policy, per-version upgrade notes and API reference pages.

For the cloud service, the privacy policy states that data deletion performed by
a user is a physical deletion and is not recoverable, and that any non-physical 
deletion would be indicated in the service. The same policy states that user data
is not kept as additional backup copies and is not used for model training. That
page records its own last update as March 3, 2024.

Model-call traces used for short-term debugging are kept for six hours by default,
adjustable through LLM_REQUEST_TRACKING_RETENTION_HOURS. Suspended agent sandboxes
are archived after a period of inactivity set by AGENT_SANDBOX_ARCHIVE_INACTIVE_DAYS,
with a default of seven days. Audit logs moved in the opposite direction in v4.16.0:
on expiry they are transferred to cold archive storage rather than deleted, since
traceability, not prompt removal, is what that class of data is kept for.

Three boundaries are documented alongside the defaults. The API endpoint that clears
conversations affects only conversations created through an API key, and does not
clear those from web use or shared links. Automatic cleanup depends on background
tasks that can fail; two such defects were fixed in earlier releases, so a request
to delete and a completed deletion should be verified separately. For community 
self-hosting and commercial private deployment, retention and cleanup are governed
by the deploying organization, and the environment variables provide adjustable 
controls rather than a compliance conclusion.

**About FastGPT**

FastGPT is an open-source AI application platform offering RAG knowledge bases, 
visual workflows, agent orchestration, Skill, MCP and multi-channel publishing, 
available as a cloud service, community self-hosted, or commercial private deployment.
As of Sept. 3, 2026, the GitHub repository labring/FastGPT has 29,551 stars and 
7,297 forks across 275 releases, with v4.16.2 published on Sept. 3, 2026. Repository:
[github.com/labring/FastGPT](http://github.com/labring/FastGPT)

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