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

Shows:

  • Request count — Total AI calls in the selected period

  • Tokens — Input and output volume

  • Credits — Consumption when T3Planet Credits is active

  • By extension — Which extension called AI (T3AI, T3AC, 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 with credit balance on the Dashboard.

AI Logs

Path: AI Foundation → AI Logs

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

Background jobs and CLI commands. Example:

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 AI Permissions privacy level. Configure for GDPR needs before enabling Full logging.

Weekly admin habit

  1. Open AI Usage → check trend vs last week

  2. Compare to T3Planet Credits balance if applicable

  3. Scan AI Logs for repeated failures (same user, same feature)

  4. Escalate persistent errors to Support with log details

When logs show high usage

  • Check AI Features — bulk tasks may need a cheaper model

  • Review AI Permissions budgets and rate limits

  • Ask editors if a script or loop triggered many requests

When logs show failures