EnghouseAI Engine Settings

These settings configure the connection to the EnghouseAI servers that will handle AI processing. You will need to supply the credentials to an EnghouseAI service-based account (i.e. machine-to-machine) that represents your QMS server . User based accounts (i.e. username/password) are no longer supported.

  1. Enable EnghouseAI Analysis – check this box to enable and configure the EnghouseAI engine.

  2. EnghouseAI Server List – select from the list of EnghouseAI servers already defined in your configuration, or click the Add (pencil) icon to create a new server. Only one EnghouseAI server may be selected at a time.

    1. EnghouseAI Server parameters:

      1. ClientId – enter the client identifier representing the QMS application in the EnghouseAI OpenID authentication flow.

      2. Client Secret - enter the client secret representing the QMS application in the EnghouseAI OpenID authentication flow

      3. Token Endpoint – enter the full URL of the token endpoint of the EnghouseAI OpenID authentication service. e.g. https://[servername]/auth/realms/[tenantname]/protocol/openid-connect/token

      4. Agent Evaluation Endpoint – enter the full URL of the agent evaluation endpoint of the EnghouseAI service, e.g. https://[tenantname].vecko.com/cqc

      5. Call Summary Endpoint – enter the full URL of the agent evaluation endpoint of the EnghouseAI service. e.g. https://[tenantname].vecko.com/summarization

      6. Sentiment Endpoint – enter the full URL of the sentiment endpoint of the EnghouseAI service. e.g. https://[tenantname].vecko.com/sentiment

Note: In a multi-tenant QMS system, this configuration section can be found in the Manage Tenants section instead as the settings are specific to each tenant.

See Also:

General Settings