Google Vertex AI and Harvest integration

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How to connect Google Vertex AI and Harvest

Build your own Google Vertex AI and Harvest integration

Create custom Google Vertex AI and Harvest 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

POST	Generate content	This endpoint generates content based on the input provided. `/vertex-ai/generative-ai/docs/model-reference/inference`

POST	Call function	This endpoint allows for calling functions as part of the generative tasks. `/vertex-ai/generative-ai/docs/model-reference/function-calling`

POST	Ground content	This endpoint grounds the content to ensure relevance and context. `/vertex-ai/generative-ai/docs/model-reference/grounding`

GET	List API errors	This endpoint retrieves potential API errors that can occur during requests. `/vertex-ai/generative-ai/docs/model-reference/api-errors`

POST	Generate text embeddings	This endpoint generates embeddings for given text inputs. `/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api`

POST	Generate multimodal embeddings	This endpoint generates embeddings that leverage multiple modalities. `/vertex-ai/generative-ai/docs/model-reference/multimodal-embeddings-api`

POST	Generate and edit images	This endpoint is used for generating and editing images based on input specifications. `/vertex-ai/generative-ai/docs/model-reference/imagen-api`

GET	Use code completions	API for generating code completion suggestions. `/vertex-ai/generative-ai/docs/model-reference/code-completion`

GET	Perform batch predictions	API for executing batch predictions on data. `/vertex-ai/generative-ai/docs/model-reference/batch-prediction-api`
POST	Batch prediction	API for performing batch prediction. `/vertex-ai/generative-ai/docs/model-reference/batch-prediction-api`

GET	Tune models	API for tuning machine learning models. `/vertex-ai/generative-ai/docs/model-reference/tuning`
POST	Tuning model parameters	API for tuning model parameters. `/vertex-ai/generative-ai/docs/model-reference/tuning`

GET	Rapid evaluation	API for quickly evaluating model performance. `/vertex-ai/generative-ai/docs/model-reference/evaluation`
POST	Evaluate model performance	API for rapid evaluation of models. `/vertex-ai/generative-ai/docs/model-reference/evaluation`

GET	Use LlamaIndex	API for accessing the LlamaIndex for retrieval-augmented generations. `/vertex-ai/generative-ai/docs/model-reference/rag-api`

GET	Manage extensions	API for managing custom extensions. `/vertex-ai/generative-ai/docs/model-reference/extension`
POST	Manage extensions	API for handling extensions. `/vertex-ai/generative-ai/docs/model-reference/extension`

GET	Count tokens	API for counting tokens in text inputs. `/vertex-ai/generative-ai/docs/model-reference/count-tokens`

GET	Use reasoning engine	API for performing reasoning tasks. `/vertex-ai/generative-ai/docs/model-reference/reasoning-engine`
POST	Utilize reasoning engine	API for using the reasoning engine capabilities. `/vertex-ai/generative-ai/docs/model-reference/reasoning-engine`

GET	Use MedLM API	API for accessing medical language models. `/vertex-ai/generative-ai/docs/model-reference/medlm`
POST	Access MedLM	API for accessing MedLM functionality. `/vertex-ai/generative-ai/docs/model-reference/medlm`

POST	Generate and edit images	API for generating and editing images. `/vertex-ai/generative-ai/docs/model-reference/code-completion`

POST	Access LlamaIndex	API for accessing LlamaIndex functionality. `/vertex-ai/generative-ai/docs/model-reference/rag-api`

POST	Count tokens	API for counting tokens in text. `/vertex-ai/generative-ai/docs/model-reference/count-tokens`

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 here

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!

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Harvest supported actions

Create	Create a client
Delete	Delete a client
Get	Get data of a client
Get Many	Get data of many clients
Update	Update a client

Get	Retrieves the company for the currently authenticated user

Create	Create a contact
Delete	Delete a contact
Get	Get data of a contact
Get Many	Get data of many contacts
Update	Update a contact

Create	Create an estimate
Delete	Delete an estimate
Get	Get data of an estimate
Get Many	Get data of many estimates
Update	Update an estimate

Create	Create an expense
Delete	Delete an expense
Get	Get data of an expense
Get Many	Get data of many expenses
Update	Update an expense

Create	Create an invoice
Delete	Delete an invoice
Get	Get data of an invoice
Get Many	Get data of many invoices
Update	Update an invoice

Create	Create a project
Delete	Delete a project
Get	Get data of a project
Get Many	Get data of many projects
Update	Update a project

Create	Create a task
Delete	Delete a task
Get	Get data of a task
Get Many	Get data of many tasks
Update	Update a task

Create via Duration	Create a time entry via duration
Create via Start and End Time	Create a time entry via start and end time
Delete	Delete a time entry
Delete External Reference	Delete a time entry’s external reference
Get	Get data of a time entry
Get Many	Get data of many time entries
Restart	Restart a time entry
Stop	Stop a time entry
Update	Update a time entry

Create	Create a user
Delete	Delete a user
Get	Get data of a user
Get Many	Get data of many users
Me	Get data of authenticated user
Update	Update a user

Google Vertex AI and Harvest 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

AI

Harvest

Harvest is a time-tracking system that helps you track time across your projects, invoicing, reports, etc. It is easy to use, an empowers you with relevant, intelligent insights and analytics.

Related categories

Productivity

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Google Vertex AI and Harvest integration

How to connect Google Vertex AI and Harvest

Create a new workflow and add the first step

Build your own Google Vertex AI and Harvest integration

Supported API Endpoints for Google Vertex AI

Harvest supported actions