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
- 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
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
Scheduler & CLI — background tasks and TYPO3 console commands for AI Foundation.
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 provider privacy settings and group audit limits from AI Permissions. Configure carefully before enabling full prompt/response storage.
Weekly admin habit
- Open AI Foundation > AI Usage and compare the trend with last week
- Scan AI Foundation > AI Logs for repeated failures (same user, same feature)
- 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
- Run Test connection in AI Providers
- Check vendor status and rate limits
- See Known Problems and FAQ