
Connectors / AI · HTTP Connector
Automate Google Vertex AI with Tray.ai
Generate content, create an endpoint and create a batch prediction job in Google Vertex AI.
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What can you do with Google Vertex AI on Tray.ai?
Google Vertex AI is Google Cloud's service for running Gemini and other models, with tuning, batch prediction, and model deployment. Tray.ai connects to Google Vertex AI through the HTTP Connector, so your workflows can call the Google Vertex AI API alongside the rest of your stack.
- Connects through
- HTTP Connector
- Authentication
- OAuth 2.0
- Base URL
- https://aiplatform.googleapis.com
What the Google Vertex AI API covers
6 resources and 22 documented actions, each one a call the HTTP Connector can make from a Tray.ai workflow.
Publisher models
- Generate content
- Stream generated content
- Count tokens
- Embed content
Endpoints
- Create an endpoint
- List endpoints
- Deploy a model
- Get predictions
- Undeploy a model
Batch prediction jobs
- Create a batch prediction job
- List batch prediction jobs
- Cancel a batch prediction job
Tuning jobs
- Create a tuning job
- List tuning jobs
- Cancel a tuning job
Cached contents
- Create cached content
- List cached contents
- Delete cached content
Datasets
- Create a dataset
- Import data
- Export data
- List datasets
Checked against Google Vertex AI's own documentation on 2026-10-22
How Tray.ai makes this work
Google Vertex AI plugs into the whole Tray.ai platform
Intelligent Integration
Integrate and automate across 700+ connectors with visual workflows, error handling, and observability.
Learn more →Agent Builder
Build AI agents that read, write, and take action in Google Vertex AI — with guardrails, audit, and human-in-the-loop.
Learn more →Agent Gateway for MCP
Expose Google Vertex AI actions as governed MCP tools — observable, rate-limited, authenticated.
Learn more →More ai apps on Tray.ai
Dedicated connectors and other apps Tray.ai reaches in the same category. See every ai connector →
Frequently asked questions
What can a Tray.ai workflow do in Google Vertex AI?
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The Google Vertex AI API documents 22 actions across 6 resources (Publisher models, Endpoints, Batch prediction jobs, Tuning jobs, Cached contents, Datasets). For example: Generate content; Create an endpoint; Create a batch prediction job. A workflow can make any documented call through the HTTP Connector.
How does Tray.ai authenticate with Google Vertex AI?
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The Google Vertex AI API uses OAuth 2.0. You save it once as a Tray.ai authentication, and the HTTP Connector adds it to every request.
See Google Vertex AI working against your stack.
We'll walk through a tailored demo with your systems plugged in.
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