Review queue progress and logs once a day
Get a focused digest of requests that may need attention instead of repeatedly checking each queue.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Get Queue Request Status With Logs
Tool to retrieve the current status of a queued request with detailed logging information. Use when you need to monitor a queued request's progress and access execution logs for debugging or tracking purposes. Logs include timestamps, severity levels, and detailed messages about request processing.
Why this helps
Scattered request checks make it hard to remember which queued work needs follow-up.
- Consolidate request status review into a daily routine.
- Include execution logs that help explain stalled work.
- Tie follow-up attention to open TypeSafe work.
Setup
Build it in a few focused steps.
- 1Connect TypeSafe and Fal.ai to Notis once through the portal.
- 2Create an automation in the portal or by asking Notis conversationally.
- 3Use one instruction asking Notis to review open TypeSafe work, retrieve detailed logs for its Fal.ai requests, and highlight cases that need follow-up.
- 4Set a daily schedule and pick the channel for run reports.
- 5Test with one open item that has a Fal.ai request reference.
Questions about this workflow
How is this different from a basic status check?
It retrieves detailed status information with execution logs for tracking or debugging.
Can it find a request with no reference?
Not reliably. The TypeSafe work or available context needs to identify the relevant Fal.ai request.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link TypeSafe to Fal.ai. A trigger fires from one place; an action lands in another.
TypeSafe triggers
Fal.ai actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Cancel Queue Request
Tool to cancel a queued or in-progress request in fal.ai's queue system. Use when you need to stop a request before it completes. Note that cancellation only succeeds if the request hasn't started processing; if already completed, returns an error status. Even with successful cancellation, the request may still execute if it was near the front of the queue.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Estimate Pricing
Tool to estimate pricing for fal.ai model endpoints. Use when you need to calculate expected costs for API calls or unit-based usage across one or more endpoints.
Get JWKS for Webhook Verification
Tool to retrieve public keys for webhook signature verification. Returns a JSON Web Key Set containing ED25519 public keys. Use when you need to verify webhook signatures from fal.ai. The keys are cacheable but should be refreshed at least every 24 hours.
Get Models
Tool to discover and search fal.ai model endpoints. Use when you need to list all models, find specific models by ID, or search by category/query. Supports pagination and optional expansion of OpenAPI schemas.
Get Model Pricing
Tool to retrieve unit pricing for model endpoints. Returns pricing information including unit price, billing unit, and currency. Use when you need to check costs for specific fal.ai models.
Get Queue Request Result
Tool to retrieve the final result of a completed queue request. Use when you need to get the output of a model request that was submitted to the queue and has finished processing. Only works after request status transitions to COMPLETED.
Get Queue Request Status With Logs
Tool to retrieve the current status of a queued request with detailed logging information. Use when you need to monitor a queued request's progress and access execution logs for debugging or tracking purposes. Logs include timestamps, severity levels, and detailed messages about request processing.
Check Queue Request Status
Tool to check the status of a queued request in fal.ai. Use when you need to monitor the progress of an async request. Returns different information based on status: queue position when IN_QUEUE, logs when IN_PROGRESS or COMPLETED.
Connect any two apps with Notis in the middle.
TypeSafe and Fal.ai, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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