Workspace Analytics

Monitor agent performance, sessions, and request-level traces across your workspace. Workspace Analytics gives you visibility into how agents behave in production — from aggregate metrics to individual session transcripts and step-level execution logs.

Navigation: Settings > Analytics
Required role: Owner, Admin, or Operator; Member for project-scoped views.

Use the All Projects dropdown and time range controls (24h, 7d, 30d, 90d) to filter data across all tabs.

Agents

The Agents tab shows aggregate performance metrics for all agents in the selected project and time range.

Agent performance metrics appear once agents start processing sessions.

Metrics

Metric	Description
Total sessions	Number of agent sessions in the selected time range.
Avg. session duration	Mean time from session start to last message.
Resolution rate	Percentage of sessions that reached a successful outcome.
Avg. messages per session	Mean number of user and agent messages per session.
Total tokens consumed	Input and output tokens across all models.
Total estimated cost	Calculated LLM cost for the period.
Error rate	Percentage of sessions that encountered errors.

Filter by date range, project, agent, or model. Charts show session volume over time, token usage, cost trends, top agents by session count and cost, and error breakdown.

Sessions

The Sessions tab lists individual user sessions across all agents in the selected project and time range.

Session data appears once agents start processing requests.

Browse sessions

Go to Settings > Analytics > Session Explorer.
Search by session ID, user message content, or agent name.
Filter by status, date range, or agent.
Click a session to view the conversation transcript, tool calls, model usage, state transitions, and metadata.

Traces

The Traces tab provides a step-by-step execution log of agent runs. It offers two views: Event Stream and SQL Query.

Trace events appear once agents start processing sessions.

Event Stream

The Event Stream view shows a chronological log of all agent events in the selected project and time range. Each trace records a span tree — a hierarchical view of all operations:

Event type	What it captures
LLM calls	Prompt, response, tokens, and latency.
Tool executions	Name, input, output, and duration.
Step transitions	Flow step changes for agents with a FLOW section.
Guardrail evaluations	Category, score, and decision.
Knowledge base queries	Query text, retrieved chunks, and relevance scores.

Filter events by type:

Filter	Description
All	Show all event types.
LLM	LLM call events.
Tool	Tool invocation events.
Decision	Agent decision and routing events.
Error	Events that resulted in an error.
Handoff	Agent handoff and delegation events.
Agent	Agent lifecycle events.
Session	Session start and end events.

Use the search bar to find events by session ID, agent name, or event type. The total event count is shown next to the search bar. Trace search syntax:

Operator	Example	Description
`agent:`	`agent:customer-support`	Filter by agent name.
`status:`	`status:error`	Filter by outcome.
`model:`	`model:claude-4-sonnet`	Filter by model used.
`duration:>`	`duration:>2s`	Filter by total duration.
`tokens:>`	`tokens:>5000`	Filter by token count.

SQL Query

The SQL Query view lets you run custom queries against trace event data.

Admin access is required to use the SQL Query view.

Control	Description
Example Queries	A dropdown of pre-built queries to help you get started.
SQL editor	Write or paste a SQL query. Use `{tenantId:String}` and `{projectId:String}` for isolation.
Clear	Clear the current query from the editor.
Execute	Run the query and view results.

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References

Agents

Metrics

Sessions

Browse sessions

Traces

Event Stream

SQL Query

​Agents

​Metrics

​Sessions

​Browse sessions

​Traces

​Event Stream

​SQL Query

Agents

Metrics

Sessions

Browse sessions

Traces

Event Stream

SQL Query