Fetch custom model logs from error webhooks
Start diagnosis while the failure is still fresh.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Get Custom Model Deployment Logs
Tool to request logs from a deployed custom model. Use when troubleshooting failed prediction requests or debugging custom model behavior. Returns a status ID for polling - logs are generated asynchronously.
Why this helps
Debugging waits when error alerts require a separate manual log request.
- Shorten incident response
- Capture consistent diagnostics
- Reduce repeated console work
Setup
Build it in a few focused steps.
- 1Connect DataRobot in Notis once and configure a webhook trigger.
- 2Create an automation named Custom model error diagnostics.
- 3Tell Notis to read the deployment reference from each error webhook and request the relevant DataRobot logs.
- 4Pick the webhook trigger and choose where reports go.
- 5Send one real error event to test the automation.
Questions about this workflow
What if the webhook lacks a deployment reference?
The automation should report the missing identifier and avoid a blind log request.
Are logs returned immediately?
DataRobot generates logs asynchronously, so the report should include the status identifier.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Todoist to Datarobot. A trigger fires from one place; an action lands in another.
Todoist triggers
Datarobot actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
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Connect any two apps with Notis in the middle.
Todoist and Datarobot, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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