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Integration Service activities

Create a Conversation Message

Create a Conversation Message activity in the Databricks connector.

Project compatibility​

Windows | Cross-platform

Overview​

DescriptionAPI MethodAPI Path
Send a follow-up question to an existing Genie conversation. Requires space_id, conversation_id and content; Genie answers in the context of earlier turns.POST/genie_message_create/{space_id}/{conversation_id}

Input​

ParameterDescriptionData Type
Space Id *ID of the Genie space. For example, 01f0a1b2c3d4e5f6a7b8c9d0e1f2a3b4.string
Conversation Id *ID of the Genie conversation. For example, 01f0a1b2c3d4e5f6a7b8c9d0e1f2a3b4.string
Message Content *Natural-language question to send to the Genie space. For example, Now break that down by region..string

* Required parameter.

Output​

ParameterDescriptionData Type
ContentThe content of the Genie message.string
Conversation IDID of the Genie conversation.string
Message IDID of the Genie message.string
IDUnique identifier of the returned record.string
Space IDID of the Genie space.string
StatusSUBMITTED, FETCHING_METADATA, ASKING_AI, EXECUTING_QUERY, COMPLETED, FAILED, CANCELLED.string
AttachmentsGenie response attachments (text answer and/or generated SQL query).array
Query ResultResult of the SQL query that Genie generated for the message.object
ConversationThe Genie conversation that contains the message.object
MessageThe Genie message, including its content and status.object
Created TimestampTime the message was created, as a Unix timestamp in milliseconds.integer
Note:

You might see variations in the output depending on where you run the activity. In API workflows and Maestro Flow, a single response object containing all the fields is returned. In RPA workflows, not all fields are exposed, but you can still retrieve them from the exposed response object.

  • Project compatibility​
  • Overview​
  • Input​
  • Output​

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