Keep registered model version details visible
Get a recurring, readable review of the model version details Databricks returns, including status and source location.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Get Model Version
Retrieves metadata, status, and configuration for a registered model version.
Why this helps
Model version context can be difficult to pick back up after switching between product and analytics work.
- Keep specified model version details in a recurring report.
- Summarize status and source location alongside metadata.
- Make it easier to resume model review work.
Setup
Build it in a few focused steps.
- 1Connect Ai ml api and Databricks once in the Notis portal.
- 2Create an automation and tell Notis which registered model version to review and what details to summarize.
- 3Pick a recurring schedule and choose where run reports should go.
- 4Test with one real model version and review the report.
Questions about this workflow
What details are available?
Databricks can return metadata, status, source location, and configuration for the specified registered model version.
Does the workflow update the model version?
No. It retrieves and summarizes the version details.
Can it compare a version with an earlier state?
A prior state or baseline must be supplied for a comparison.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Ai ml api to Databricks. A trigger fires from one place; an action lands in another.
Ai ml api triggers
Databricks actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Add Member to Security Group
Adds a user or group to a Databricks security group.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Delete Custom LLM Agent
Irreversibly deletes a custom LLM agent and all its associated data.
Create Databricks App
Creates a Databricks app in the workspace.
Delete Databricks App
Deletes a Databricks app and its associated service principal.
Deploy Databricks App
Deploys an app from workspace source code and provisions its compute resources.
Get Databricks App Details
Retrieves an app’s configuration, deployment status, resources, and metadata.
Get Databricks App Permission Levels
Lists the permission levels available for an app.
Get Databricks App Permissions
Retrieves who can access an app and their permission levels.
Connect any two apps with Notis in the middle.
Ai ml api and Databricks, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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