Tanzu Platform SaaS

About Tanzu Intelligent Assist

Last Updated February 19, 2025

Tanzu Intelligent Assist provides an AI-based natural language interface to help you perform your tasks on Tanzu Platform. You can enter questions in the chat window to help you go to relevant Tanzu Platform services, query the graph database to work with the data directly, run entire workflows, and ask questions that are not specific to your connected environments.

How you can use Tanzu Intelligent AssistDescription
Navigating Tanzu PlatformDo you need to jump to a particular page in the UI?

Ask Intelligent Assist to take you there. For example, you can ask, Take me to the Kubernetes configuration page.

Generating schema-aware GraphQLAll assets and information in Tanzu Platform are accessible through the public GraphQL API. If you need help generating the GraphQL for direct or programmatic use, just ask TIA! For example, you can ask, Show me all EC2 instances in US-East2 with a public IP address.
Querying for information and managing your resourcesDo you want to find out what is going on in one of your clusters or other resources?

Enter a natural language question, for example, Show me applications in region us-west-2.

Intelligent Assist constructs a GraphQL query, runs the query on the database, and returns the results in the Intelligent Assist pane.

You can go from the query results to view the relevant applications. Because Tanzu Platform is an API-first platform, Intelligent Assist performs your commands by turning your requests for change into GraphQL mutations that run the workflows. All without leaving the Intelligent Assist pane or requiring deep GraphQL knowledge.

Using the Intelligent Assist for self-service learningIf you ask general questions that are not specific to your environment, Intelligent Assist will query various knowledge sources.

If your query is Tanzu-related, for example, What is a Tanzu Space Capability? or How does a Capability compare to a Profile?, the results are first based on what the Tanzu generative AI retrieves and constructs from Tanzu sources.

If the Tanzu sources can’t answer your question or if the query is not Tanzu-specific, for example, What is a Kubernetes cluster?, the results are derived from a Large Language Model (LLM) knowledge base. Any limitations in the response may be due to the data that was used to train the LLM.

Understanding how Intelligent Assist handles the data

Tanzu Intelligent Assist is an AI system. As such, some answers may be inaccurate, incomplete, or inconsistent. You should validate important responses. As an AI machine learning system, your feedback helps to train the system. By using thumbs up, thumbs down, and any text input as feedback, you help ensure better responses over time.

Tanzu Intelligent Assist shares data with third parties for processing. Therefore, do not share any personal information with the system.