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The Monitoring module in AI for Process tracks events, actions, and changes across your account. Use it to maintain security, ensure compliance, and optimize performance across roles, integrations, models, workflows, users, datasets, guardrails, and the playground.

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Audit Logs

Audit Logs provides full visibility into every user action and system event in your account. Each log entry captures the event name, category, user, date and time, and a detailed description. Filter logs by time period, category, event type, or user to isolate specific activity. Export logs as a CSV file for compliance reporting or offline analysis. Learn more

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Workflow Analytics

The Workflow Analytics Dashboard tracks performance of deployed workflows and their versions. It shows success and failure rates for workflow runs, average response time (ART) per request, and event-based node execution counts — scoped to a selected time period and workflow version. Use it to identify failure patterns, detect performance bottlenecks, and compare performance across versions. Learn more

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Model Analytics

The Model Analytics Dashboard tracks performance for fine-tuned, open-source, and external models. It measures model latency, request success and failure rates, scaling and replica usage, and credit consumption for deployments and fine-tuning. Use global timeline and model-specific filters to scope data to the model and period you need. Learn more

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Model Traces

Model Traces provides run-level analysis of any model deployed or integrated in your account. Each trace record includes the request input, generated output, response time, deployment version, and source metadata. Use it to troubleshoot individual runs, investigate failures, and validate model behavior. Filter by status, response time, source type, or request ID, and export trace data as a CSV for deeper analysis. Learn more

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Custom Scripts

Monitoring > Custom Scripts provides run-level and log-level visibility into custom scripts deployed in your account. The All Runs tab shows execution status, response time, function name, and source for each run. The Logs tab shows log entries captured during execution, including log level, message, and timestamp. Use time-based and column filters to narrow results, or click any run to inspect its input, output, and log details in the record view. Learn more

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Best practices

  • Regularly review audit logs, performance metrics, and model run analytics for security and compliance.
  • Use filters to focus on specific events or users.
  • Use time-based filters for targeted analysis.