Turn Ably event payloads into useful visuals
Make event data easier to scan with a Python summary or chart generated when you ask for it.
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
Raw event payloads are difficult to scan, so useful patterns get buried in logs and message text.
- Summarize event fields in a readable form.
- Generate and save a chart without opening a local notebook.
- Run the same visualization on demand.
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 payload location, the question to answer, and the chart or summary to save.
- 4Choose notis_webhook as the trigger and select where run reports should go.
- 5Test with one real payload and inspect the saved output.
Questions about this workflow
Can this run for every Ably event automatically?
No Ably event trigger is listed for this workflow. A Notis webhook request starts each run.
What if the payload has no timestamp or category?
The analysis can only use fields that are present or supplied by you. Include any needed context in your instruction.
Will a chart appear inline?
The Python code should save chart files instead of using plt.show(). You can retrieve saved files from the sandbox with the Get File action.
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
Save your first hour today.
7-day trial of any paid plan, with 20$ of usage included.
No card. Works with personal or business Codeinterpreter.