How does OCNORA authenticate with Google Notebooks?

With a stored OAuth 2.0 credential, shaped {"client_id", "client_secret", "refresh_token"}. A connection test can check it when you add it.

What can I automate with Google Notebooks?

6 typed operations, each with a reference page listing its config fields and the shapes it emits.

What if the Google Notebooks operation I need is not listed?

Where Google Notebooks has an HTTP API, call it from the HTTP node with the same credential, or describe the step to the AI builder, which asks our team for a typed node when one is missing.

Are there templates that use Google Notebooks?

Not yet. Start from a blank workflow, or describe the workflow to Build with AI.

How are Google Notebooks calls controlled?

Every call and every run step is audited, runs count against the execution budget, and Workflow Health pre-flights the workflow when you save it.

Google Notebooks

Google CloudOAuth 2.0Connection test available

Notebooks API is used to manage notebook resources in Google Cloud (Google OAuth2).

OCNORA ships 6 typed Google Notebooks operations. Each node has a schema-driven form, input and output tables beside its settings, and is pre-flighted by Workflow Health before your first real run.

Ask about Google Notebooks Google Notebooks API docs ↗

Before you connect Google Notebooks

Authentication: OAuth 2.0
Credential: {"client_id", "client_secret", "refresh_token"}
Connection test: Available: the stored credential can be checked against the provider when you add it. This is not a record that a test was run or passed.

What you can do with Google Notebooks

Operations, grouped by what they do to your data.

Create and send 1

Create Instance

Read and search 3

Update 1

Update Instance

Delete and cancel 1

Delete Instance

A sample Google Notebooks workflow

1
A core trigger
Start the run from a chat, form, manual, schedule, webhook, workflow trigger — no Google Notebooks trigger is needed.
2
Get Configvertex_notebooks.get_config
Returns various configuration parameters.
3
Create Instancevertex_notebooks.create_instance
Creates a new Instance in a given project and location.

An outline built from this provider’s node contracts, not a recorded run. Each step’s output fields are available to the next in the field picker.

Every node below has a reference page: what it does, the connection it needs, its config fields with types, constraints and examples, and the shapes it emits.

Operations 6