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.Documentation Index
Fetch the complete documentation index at: https://koreai.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
- Navigation: Settings > Analytics
- Required role: Owner, Admin, or Operator; Member for project-scoped views.
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. |
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 | 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. |
| 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. |