Connect Databricks and AgentX to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New conversation arrives
Start a workflow for each new conversation received by the selected AgentX agent.
Get recent messages
Retrieves messages from the selected conversation posted in the last few minutes.
Get recent agents
Returns agents created within the selected time window, newest first.
Fetch recent agent messages
Retrieve the agent's messages from the selected conversation that were sent recently.
Do thisActions
Action is the task that follows automatically within your Databricks integrations.
Create Cluster
Creates a new Databricks cluster for processing tasks.
Create a Directory
Create a directory by a path.
Delete a Job
This action deletes a job by ID.
Create a Repo
Creates a repo in the workspace and links it to the remote Git repo specified.
Delete Repo
Delete a Repo
Start a conversation
Create a new chat with the selected agent so you can send messages and get responses.
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Frequently Asked Questions
To start, connect both your Databricks and AgentX accounts to viaSocket. Once connected, you can set up a workflow where an event in Databricks triggers actions in AgentX (or vice versa).
Absolutely. You can customize how Databricks data is recorded in AgentX. This includes choosing which data fields go into which fields of AgentX, setting up custom formats, and filtering out unwanted information.
The data sync between Databricks and AgentX typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Databricks and AgentX. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Databricks
Databricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.
Learn MoreAbout AgentX
AgentX is a versatile platform designed to streamline and enhance your workflow with powerful automation and integration capabilities.
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