Compare Ably presence counts with your capacity limit
Turn available presence counts into a quick capacity check using the threshold your team defines.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
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.
Why this helps
A count alone does not say whether a channel is near its practical limit unless the limit is known and compared.
- Compare supplied counts with a user-provided threshold.
- Show remaining headroom in a compact report.
- Run a targeted check when a decision is needed.
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 presence count source and provide the capacity threshold to compare against.
- 4Choose notis_webhook as the trigger and select where run reports should go.
- 5Test with one real count and a known threshold.
Questions about this workflow
Does Ably provide a recommended capacity threshold?
This workflow does not assume a threshold. Supply the limit your team wants to use.
Can the analysis see presence counts directly?
It can use data made accessible through your connected Ably access or supplied with the request. State the source in your instruction.
Can it forecast future capacity?
A forecast requires historical counts and a suitable method. Make the history available and ask for that analysis explicitly.
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.
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.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
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.
Get File
Get a file from the sandbox and returns the file. the files should be read from /home/user folder.
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.
Upload File
Upload a file to the sandbox environment. the files should be uploaded to the /home/user folder.
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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