AI Usage & Logs 

Purpose 

Transparency for every AI request on your TYPO3 instance. Use these screens for budget control, debugging, and compliance.

AI Usage 

Path: AI Foundation > AI Usage

AI Foundation AI Usage Demo

Shows:

  • Request count — Total AI calls in the selected period
  • Tokens — Input and output volume
  • By extension — Which extension called AI (AI Assistant, AI Chatbot, and others)
  • By feature — For example seo.meta_description
  • Time range — Day, week, or month

Use for: budget control, team planning, anomaly detection.

Compare usage trends on the Dashboard.

AI Logs 

Path: AI Foundation > AI Logs

AI Foundation AI Logs Demo

Per-request detail includes:

  • Timestamp, user, extension, feature
  • Provider, model, tokens
  • Success or failure

Use for: debugging failed requests and compliance audits.

Scheduler & CLI 

Path: AI Foundation > Scheduler & CLI

AI Foundation Scheduler and CLI Demo

AI Foundation Scheduler and CLI with scheduled tasks and command list

Scheduler & CLI — background tasks and TYPO3 console commands for AI Foundation.

Background jobs and CLI commands. Example:

Flush AI Foundation caches 
vendor/bin/typo3 ns_t3af:cache:flush
Copied!

Ensure scheduler cron runs every minute on production.

OpenAI org statistics (optional) 

Set openai_admin_api_key in Extension Configuration for organization-level usage charts. This is not the chat API key. See Configuration.

Privacy 

Local logs never store prompt or response text. Privacy level on each AI provider (and optional UserTSconfig nst3af.privacyLevel) controls local AI Usage telemetry only. It does not change what is sent to the AI provider.

Full DPA and GDPR notes, including BYOK vs Credits, retention, and cleanup commands: DPA & GDPR.

Weekly admin habit 

  1. Open AI Foundation > AI Usage and compare the trend with last week
  2. Scan AI Foundation > AI Logs for repeated failures (same user, same feature)
  3. Escalate persistent errors to Support with log details

When logs show high usage 

  • Check AI Features — bulk tasks may need a cheaper model
  • Review group limits in AI Permissions
  • Ask editors if a script or loop triggered many requests

When logs show failures