Google Vertex AI and Passslot integration
How to connect Google Vertex AI and Passslot
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 Passslot integration
Create custom Google Vertex AI and Passslot 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 Passslot
List passes
Returns descriptions of all created Wallet passes
List passes by type
Returns descriptions of all Wallet passes for a given Pass Type ID
Show pass
Downloads a given Wallet pass (.
Show pass URL
Returns a short link to the Wallet pass
Show pass JSON
Returns the full Wallet pass description of the given pass
Email pass
Sends a given Wallet pass to an email address
Push pass
Sends a push update to a given Wallet pass
Delete pass
Deletes the pass
Show pass values
Returns the placeholder values of the Wallet pass
Update pass values
Updates the placeholder values values of the Wallet pass
Update pass value
Updates the value of a single placeholder of the Wallet pass
List pass images
Returns all images of the Wallet pass (template images not included)
Delete pass images
Deletes all images of the Wallet pass (template images not included)
Show pass status
Get the status of the Wallet pass
Update pass status
Updates the status the Wallet pass
Create pass from template
Creates a pass from the pass templates with values.
Create pass from template by name
Creates a pass from the pass template with the given name using the supplied values.
List template images
Returns all images of the pass template.
Show template image by type
Returns all images with the given type of the pass template.
Show template image by type and resolution
Returns the image with the given type and resolution of the pass template.
Show template actions
Returns the pass template actions.
Show template branding settings
Returns the pass template branding settings.
Delete template
Delete a specific template by its ID.
To set up Passslot 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 Passslot 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 Passslot official documentation to get a full list of all API endpoints and verify the scraped ones!
Google Vertex AI and Passslot 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.
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FAQ
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