Deploying AI agents is only the first step. Operating them efficiently requires visibility into how they’re being used, where resources are being consumed, and how they perform over time.
Reports by Lyzr brings all of this together in one place.
Built into Lyzr Monitoring, Reports lets organizations export detailed usage data across agents and users, making it easier to monitor adoption, investigate performance, track credit consumption, and make data-driven operational decisions.
Whether you’re managing a handful of AI agents or hundreds across business functions, Reports gives you the data needed to understand what’s happening across your deployment.
Monitor Your AI Operations with Exportable Reports
Reports are available directly from Monitoring → Reports, where usage data can be exported as CSV files for deeper analysis or integrated into existing reporting workflows.
The first release includes two reports:
- Usage by Agent: Understand how every AI agent is performing.
- Usage by User: Track AI adoption and resource consumption across your organization.
Support for Usage by Model and Usage by Sub-Account will be available in future releases, expanding visibility into model utilization and organization-wide usage.
Usage by Agent: Measure Performance Beyond Run Counts
Understanding how individual agents perform is critical when running AI in production.
The Usage by Agent report provides a comprehensive view of operational metrics for every deployed agent, including:
- Total runs and sessions
- Credits consumed
- Input and output token usage
- Average and P95 latency
- Error rates
- Model used
- Agent type
Reports can be filtered by timeframe, model, agent type, or creator before export, allowing teams to focus on specific workloads or investigate performance trends over time.
Whether you’re identifying your highest-volume agents, analyzing latency spikes, or tracking token consumption, the report provides the operational insights needed to optimize your deployment.
Usage by User: Understand Adoption Across Your Organization
As AI adoption grows, understanding how different teams interact with AI becomes increasingly important.
The Usage by User report provides visibility into user-level activity, helping administrators understand usage patterns across the organization.
Each report includes:
- Agent runs initiated by each user
- Credits consumed
- Token usage
- Agents created
- User role and account details
Organizations with multiple workspaces can also include usage from sub-organizations, providing a consolidated view of activity across teams.
Built for Teams Running AI at Scale
Operational decisions require reliable data.
Reports by Lyzr helps platform administrators, engineering teams, and AI leaders answer questions such as:
- Which agents consume the most credits?
- Where are latency issues occurring?
- Which teams are driving AI adoption?
- How is usage changing over time?
Because every report is exported as a CSV file, the data can be analyzed in spreadsheets, connected to BI platforms, or incorporated into internal reporting workflows.
What’s Next
Reports is the latest addition to Lyzr Monitoring, giving organizations greater visibility into how AI agents are being used in production.
Upcoming releases will introduce Usage by Model and Usage by Sub-Account, making it even easier to monitor model utilization, compare resource consumption, and manage AI deployments across large organizations.
With Reports by Lyzr, organizations gain a clearer understanding of how their AI ecosystem operates, helping teams optimize performance, improve governance, and make more informed decisions as AI adoption continues to grow.
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