Google Vertex AI and Trengo integration
How to connect Google Vertex AI and Trengo
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 Trengo integration
Create custom Google Vertex AI and Trengo 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!
Supported API Endpoints for Trengo
List all tickets
Retrieve a list of all tickets.
Create a ticket
Create a new ticket in the system.
Assign a ticket
Assign an existing ticket to a user.
Close a ticket
Close an existing ticket.
Reopen a ticket
Reopen a previously closed ticket.
List all messages
Retrieve a list of all messages associated with tickets.
Delete a ticket
Remove a specific ticket.
List all tickets
Retrieve a list of all tickets.
Assign ticket
Assign a ticket to a user.
Close ticket
Close an existing ticket.
Reopen ticket
Reopen a previously closed ticket.
Delete ticket
Delete a specific ticket.
List contacts
Retrieve a list of all contacts.
Create a contact
Create a new contact in the system.
Delete a contact
Remove a specific contact.
List contacts
Retrieve a list of all contacts.
Create a profile
Create a new profile in the system.
List profiles
Retrieve a list of all profiles.
List profiles
Retrieve a list of all profiles.
Import text message
Import a text message into the system.
List all voip calls
Retrieve a list of all VoIP calls made.
Get a voip call
This endpoint retrieves details of a specific voip call.
List all help centers
Retrieve a list of all help centers available.
Create a help center
This endpoint creates a new help center.
List all quick replies
Retrieve a list of all quick replies created.
Create a quick reply
This endpoint creates a new quick reply.
List all labels
Retrieve a list of all labels.
Create a label
Create a new label.
Delete a label
Remove a specific label.
List all users
Retrieve a list of all users.
Create a user
This endpoint creates a new user.
Create a category
This endpoint creates a new category.
Get category
Retrieve a specific category.
Update category
Update an existing category.
Create an article
This endpoint creates a new article.
List articles
Retrieve a list of all articles.
Get article
Retrieve a specific article.
Update article
Update an existing article.
Create a custom field
This endpoint creates a new custom field.
Create a webhook
This endpoint creates a new webhook.
List all webhooks
Retrieve a list of all webhooks set up in the system.
Create a ticket result
This endpoint creates a new ticket result.
Create a contact group
This endpoint creates a new contact group.
Create a team
This endpoint creates a new team.
Send a message
This endpoint sends a message.
List all help centers
Retrieve a list of all help centers.
Get help center
Retrieve a specific help center.
Update help center
Update an existing help center.
List blocks
Retrieve a list of all blocks.
Get block
Retrieve a specific block.
Create block
Create a new block.
Create section
Create a new section.
Update section
Update an existing section.
To set up Trengo 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 Trengo 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 Trengo official documentation to get a full list of all API endpoints and verify the scraped ones!
Google Vertex AI and Trengo 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
FAQ
Can Google Vertex AI connect with Trengo?
Can I use Google Vertex AI’s API with n8n?
Can I use Trengo’s API with n8n?
Is n8n secure for integrating Google Vertex AI and Trengo?
How to get started with Google Vertex AI and Trengo integration in n8n.io?
Looking to integrate Google Vertex AI and Trengo in your company?
The world's most popular workflow automation platform for technical teams including
Why use n8n to integrate Google Vertex AI with Trengo
Build complex workflows, really fast
