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

Follow this interactive walkthrough, then continue with the details below.

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

Follow this interactive walkthrough, then continue with the details below.

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

Follow this interactive walkthrough, then continue with the details below.

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

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

Log detail depends on provider privacy settings and group audit limits from AI Permissions. Configure carefully before enabling full prompt/response storage.

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