Google Vertex AI and Onfleet integration
How to connect Google Vertex AI and Onfleet
Create a new workflow and add the first step
In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Build your own Google Vertex AI and Onfleet integration
Create custom Google Vertex AI and Onfleet workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Supported API Endpoints for Google Vertex AI
Generate content
This endpoint generates content based on the input provided.
Call function
This endpoint allows for calling functions as part of the generative tasks.
Ground content
This endpoint grounds the content to ensure relevance and context.
List API errors
This endpoint retrieves potential API errors that can occur during requests.
Generate text embeddings
This endpoint generates embeddings for given text inputs.
Generate multimodal embeddings
This endpoint generates embeddings that leverage multiple modalities.
Generate and edit images
This endpoint is used for generating and editing images based on input specifications.
Use code completions
API for generating code completion suggestions.
Perform batch predictions
API for executing batch predictions on data.
Batch prediction
API for performing batch prediction.
Tune models
API for tuning machine learning models.
Tuning model parameters
API for tuning model parameters.
Rapid evaluation
API for quickly evaluating model performance.
Evaluate model performance
API for rapid evaluation of models.
Use LlamaIndex
API for accessing the LlamaIndex for retrieval-augmented generations.
Manage extensions
API for managing custom extensions.
Manage extensions
API for handling extensions.
Count tokens
API for counting tokens in text inputs.
Use reasoning engine
API for performing reasoning tasks.
Utilize reasoning engine
API for using the reasoning engine capabilities.
Use MedLM API
API for accessing medical language models.
Access MedLM
API for accessing MedLM functionality.
Generate and edit images
API for generating and editing images.
Access LlamaIndex
API for accessing LlamaIndex functionality.
Count tokens
API for counting tokens in text.
To set up Google Vertex AI integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Google Vertex AI to query the data you need using the API endpoint URLs you provide.
See the example hereThese API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Google Vertex AI official documentation to get a full list of all API endpoints and verify the scraped ones!
Onfleet supported actions
Create
Create a new Onfleet admin
Delete
Delete an Onfleet admin
Get Many
Get many Onfleet admins
Update
Update an Onfleet admin
Add Tasks
Add task at index (or append)
Get
Get container information
Update Tasks
Fully replace a container's tasks
Create
Create a new destination
Get
Get a specific destination
Create
Create a new Onfleet hub
Get Many
Get many Onfleet hubs
Update
Update an Onfleet hub
Get My Organization
Retrieve your own organization's details
Get Delegatee Details
Retrieve the details of an organization with which you are connected
Create
Create a new Onfleet recipient
Get
Get a specific Onfleet recipient
Update
Update an Onfleet recipient
Clone
Clone an Onfleet task
Complete
Force-complete a started Onfleet task
Create
Create a new Onfleet task
Delete
Delete an Onfleet task
Get
Get a specific Onfleet task
Get Many
Get many Onfleet tasks
Update
Update an Onfleet task
Auto-Dispatch
Automatically dispatch tasks assigned to a team to on-duty drivers
Create
Create a new Onfleet team
Delete
Delete an Onfleet team
Get
Get a specific Onfleet team
Get Many
Get many Onfleet teams
Get Time Estimates
Get estimated times for upcoming tasks for a team, returns a selected driver
Update
Update an Onfleet team
Create
Create a new Onfleet worker
Delete
Delete an Onfleet worker
Get
Get a specific Onfleet worker
Get Many
Get many Onfleet workers
Get Schedule
Get a specific Onfleet worker schedule
Update
Update an Onfleet worker
Google Vertex AI and Onfleet integration details
Google Vertex AI
Google Vertex AI is a unified machine learning platform that enables developers to build, deploy, and manage models efficiently. It provides a wide range of tools and services, such as AutoML and datasets, to accelerate the deployment of AI solutions.
Related categories
Other integrations with Onfleet
FAQ
Can Google Vertex AI connect with Onfleet?
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