Integrations / Azure OpenAI
Azure OpenAI
Azure OpenAI — per-request token usage pulled from the tenant's Log Analytics workspace (diagnostic settings). The only major cloud exposing provider-side per-request token logs. Spend-only connector for the AI Platform Spend Governance feature.
What Telara does
Capability matrix
Before you connect
Prerequisites
Vendor setup
Get the credential
In Telara
Connect in Telara
Azure AD app registration (client-credentials flow) with the Log Analytics Reader role on the workspace receiving the Azure OpenAI resource's diagnostic logs. Prerequisite: enable Diagnostic Settings on each Azure OpenAI resource (RequestResponse + Trace categories — the per-request token fields) routed to that workspace. workspace_id is the Log Analytics workspace GUID.
In Telara, open Settings → Integrations, choose this connector, and complete the fields Telara shows.
- Tenant Id
- Client ID
- Client secret
- Workspace Id
Spend
What gets measured
Resolution: Per request.
Attribution: Matched to people by email.
How far back vendor history goes is not published uniformly for this connector.
- input_tokenstokens
- output_tokenstokens
- api_requestsrequests
Sync
Freshness & sync
Spend connectors refresh on the vendor pull cadence declared in the catalog. Indexing lag is not published for this connector.
Data handling
Permissions & data handling
Telara has not published a permission list for this connector yet. Treat the vendor consent screen as the source of truth until this page lists scopes.
This catalog entry does not declare extra semantic-search exclusions.
After connect
Verify it worked
This connector does not declare a credential probe yet. A saved connection means Telara stored the credential, not that the vendor accepted it.
Honesty

