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Notis

Start each month with a fresh Ably analysis workspace

Prepare a clean Python environment for your monthly review without rebuilding the setup by hand.

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

Monthly reviews lose time when the analysis environment must be recreated from scratch each time.

  • Start a clean sandbox at the start of each cycle.
  • Reduce setup steps for recurring analysis.
  • Keep monthly review runs consistent.

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 the workspace files or starter setup the monthly review needs.
  • 4Choose notis_cron as the trigger and select where run reports should go.
  • 5Test with one real example and confirm the sandbox is ready.

Questions about this workflow

Will the new sandbox include prior files?

Create Sandbox creates a sandbox environment. If prior files are needed, specify how they will be made available.

Does it run the monthly analysis too?

This action creates the sandbox. Use Execute Code in a workflow when Python analysis must run.

Can the schedule be monthly?

Choose a recurring schedule in Notis that matches the monthly timing you need.

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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