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Notis

Snapshot Ably channel presence on a schedule

Create a regular presence review with one scheduled run and a saved Python artifact.

Trigger

Recurring schedule

Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.

Action

Create Sandbox

Create a sandbox to execute python code in a jupyter notebook cell. this is useful for agents to communicate, execute code, see output, read files, write files, etc. it's like you own personal computer, but in the cloud. use /home/user folder to write/read files.

Why this helps

Checking channel presence manually makes recurring operational reviews easy to skip and hard to compare.

  • Start a presence review on a predictable schedule.
  • Keep a timestamped snapshot for later comparison.
  • Reduce manual checks across Ably channels.

Setup

Build it in a few focused steps.

  • 1Connect Ably and Codeinterpreter once in the Notis portal.
  • 2Create an automation in the portal or tell Notis in plain language from any channel.
  • 3Describe which Ably channels to inspect and how the Python snapshot should be saved.
  • 4Choose notis_cron as the trigger and select where run reports should go.
  • 5Test with one real example and verify the saved snapshot.

Questions about this workflow

Does Ably trigger this workflow when presence changes?

No. The workflow uses a recurring Notis schedule because no Ably trigger events are available here.

What does the sandbox contain?

The Create Sandbox action creates an environment where an agent can run Python, read and write files, and work with connected sources according to your instruction.

Can snapshots be compared over time?

Yes, if each run saves its output with a timestamp and the relevant prior snapshots are accessible. Describe those requirements in the instruction.

When this happens · Trigger

Do this · Action

Supported Triggers and Actions

Notis builds workflows that link Ably to Codeinterpreter. A trigger fires from one place; an action lands in another.

Ably triggers

Codeinterpreter actions

Recurring trigger

Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.

TriggerScheduled

Create Sandbox

Create a sandbox to execute python code in a jupyter notebook cell. this is useful for agents to communicate, execute code, see output, read files, write files, etc. it's like you own personal computer, but in the cloud. use /home/user folder to write/read files.

ActionInstant

Webhook trigger

Notis starts this workflow when an external tool or custom backend sends an HTTP request.

TriggerInstant

Execute Code

Execute python code in a sandbox and return any result, stdout, stderr, and error. use /home/user folder to write/read files. try to not use plt.show() as the code is executed remotely. use files for image/chart output instead.

ActionInstant

Get File

Get a file from the sandbox and returns the file. the files should be read from /home/user folder.

ActionInstant

Run Terminal Command

Run a command in the terminal and returns the stdout, stderr, and error code. use /home/user folder to write/read files.

ActionInstant

Upload File

Upload a file to the sandbox environment. the files should be uploaded to the /home/user folder.

ActionInstant

Connect any two apps with Notis in the middle.

Ably and Codeinterpreter, or any other combination from 1,000+ integrations.

When this happens · Trigger

Do this · Action

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