Virtual Agent and NLU Workbench integration
Virtual Agent administrators can access and update their NLU models from within the Virtual Agent Designer user interface.
Integration setup tasks, roles, and details
As Virtual Agent administrators create and configure their conversation topics, they must first create their NLU model and its associated intents in the NLU Workbench. This action requires they use the NLU Workbench and the admin or nlu_admin role.
- Enable NLU.
- Select the NLU service provider.
- If using language-specific NLU models, enable the languages for those models.
- In Topic Properties, select the NLU model, the NLU intent, and the topic switching behavior.
- For input controls used in the topic flow, set the NLU properties for entity extraction.
Optionally, admins can activate Dialog Acts to enable Virtual Agent to respond flexibly when users make a modification in mid-conversation. Currently available response types are Modify, Affirm, and Negate, based on the last 5 exchanges in the conversation. Dialog Acts can be configured for English only, in Topic Properties. For more information see Dialog Acts for Virtual Agent.
- Update NLU intent utterances.
- Train, test, and publish the NLU model.
For more information, see Natural Language Understanding (NLU) topic discovery in Virtual Agent.
Publishing topics from Virtual Agent
When your model is published in the NLU Workbench, it's ready to use in Virtual Agent Designer. When editing a topic, click the Properties tab to select a model and intent to map to that topic.
When you click Publish, the model and intent are mapped to that topic and published seamlessly.
- Model isn't trained, or training is in progress.
- The last trained model is already published with a VA topic.
- The intent is not enabled in the model.