Google Vertex AI and Landbot integration
How to connect Google Vertex AI and Landbot
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 Landbot integration
Create custom Google Vertex AI and Landbot 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.
These 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 Landbot
Get channel data
Returns channel data of a specified channel ID.
List channels
Returns your channels data.
Create hook
Creates a message hook for the specified channel
Delete hook
Deletes a specific message hook from a channel
List WhatsApp templates
Returns your WhatsApp templates data.
List whatsapp templates
Returns whatsapp templates to send with more than one channel.
Opt out customer
Delete opt-ins of a specific customer.
Send template
Sends template message to a specific customer.
Delete customer
Deletes a specified customer by ID.
Get customer data
Returns data of a specified customer ID.
List customers
Returns a list of all customers.
Send WhatsApp template
Sends a WhatsApp template to a specified customer.
Send image
Sends an image to a specified customer.
Send location
Sends a location to a specified customer.
Send text
Sends a text message to a specified customer.
Archive customer
Archives a specified customer by ID.
Unarchive customer
Unarchives a specified customer by ID.
Archive customer
Archives a specific customer.
Assign bot to customer
Assigns a specific customer to a specific bot.
Assign customer to agent
Assigns :customer_id to :agent_id
Assign customer to self
Assigns :customer_id to you
Block customer
Blocks :customer_id
Delete customer
Delete customer :customer_id
Send image
Sends an image message to a specific customer by customer_id.
Send location
Sends a location message to a specific customer by customer_id.
Send text message
Sends a text message to a specified customer.
Unarchive customer
Unarchives a specified customer.
Unassign customer
Unassigns a specified customer.
Unblock customer
Unblocks a specified customer.
Delete field
Deletes field :field_name from customer with id :customer_id
Create customer
Create a new customer entry.
Read customer
Read specific customer details by token.
Update customer
Update details for an existing customer by token.
Read customer
Read customer information based on customer token.
Update customer
Update customer details based on customer token.
Create customer field
Creates a new customer field.
Delete customer field
Deletes a specified customer field.
Create message hook
Creates a new message hook for a specific channel.
Change field value
Changes the value of a specified field for a customer.
Get data
Get data of a specific agent by ID.
Send message
Send a message to a customer with a given token.
Send messages
Send messages to the specified webhook URL.
To set up Landbot 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 Landbot to query the data you need using the API endpoint URLs you provide.
These 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 Landbot official documentation to get a full list of all API endpoints and verify the scraped ones!
Google Vertex AI and Landbot 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
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