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Purpose

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

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AI Usage

**Path:**T3AF > 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.

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AI Logs

**Path:**T3AF > 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.

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Scheduler & CLI

**Path:**T3AF > Scheduler & CLI Follow this interactive walkthrough, then continue with the details below. T3AF Scheduler and CLI with scheduled tasks and command list Scheduler & CLI — background tasks and TYPO3 console commands for T3AF. Background jobs and CLI commands. Example: Flush T3AF caches
Ensure scheduler cron runs every minute on production.

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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.

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Privacy

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

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Weekly admin habit

  1. Open T3AF > AI Usage and compare the trend with last week
  2. Scan T3AF > AI Logs for repeated failures (same user, same feature)
  3. Escalate persistent errors to Support with log details

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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

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When logs show failures