CopilotScopeWork in progress

StudioLens documentation

Data sources & requirements

StudioLens requirements are path-scoped. The Dataverse (Direct) build reads transcripts live over the Dataverse Web API and needs an org-data CSV; the Fabric build reads Delta tables from a Lakehouse that its notebooks populate. Both share the same transcript contract.

Inputs by path

  • Dataverse (Direct)conversationtranscripts over the Dataverse Web API (OData.Feed, /api/data/v9.2/) plus an Org Data CSV for user and department context.
  • Fabric — Delta tables in a Lakehouse, populated by the StudioLens notebooks, read over the Lakehouse SQL endpoint.

Permissions

Path Source Permission
Dataverse (Direct) Conversation Transcript table Read via an Organizational login (System Customizer / Environment Maker)
Dataverse (Direct) Org Data CSV Read access to the CSV (SharePoint, local/synced, or UNC — gateway where required)
Fabric Dataverse ConversationTranscript Graph application permissions + Dataverse Read on ConversationTranscript
Fabric PPAC MCSMessages (message credits) Global or Billing Administrator to export the reports
Fabric Lakehouse Fabric capacity (F2+) and a Lakehouse

Transcript contract (both paths)

The transcript-analysis model produces a consistent set of tables:

Table Holds
agent_sessions One row per conversation session.
agent_turns One row per turn.
agent_errors Error events.
agent_subagents Sub-agent calls.
agent_catalogue Agents seen in the transcripts.
agent_performance Latency / performance signals.

Consumption contract (Fabric only)

Table Holds
credit_consumption_tenant Tenant-level message-credit consumption.
credit_consumption_agent Per-agent message-credit consumption.
credit_consumption_user Per-user message-credit consumption.

The PPAC message-credit pages are Fabric-only. On the Dataverse (Direct) build the Credit Consumption page ships hidden and unpopulated — do not expect credit analysis on that path.

Retention

Dataverse retains conversation transcripts for approximately 30 days. For historical analysis beyond that window, use the Fabric build, which lands transcripts into the Lakehouse before the retention window closes.