May 27, 2026 - The following sample code uses version 1 of the Agent Platform API. This sample code shows how to prompt the Gemini 2.5 Flash model to generate text. The function returns the output to Apps Script's execution log.

March 20, 2026 - It is used to build client libraries, ... This service provides the following discovery documents: https://aiplatform.googleapis.com/$discovery/rest?version=v1...

May 22, 2026 - This section provides a brief overview of the Vertex AI SDK for Python. You can also reference the notebooks in vertex-ai-samples for examples. All publicly available SDK features can be found in the google/cloud/aiplatform directory. Under the hood, Vertex SDK builds on top of GAPIC, which stands for Google API CodeGen.

May 7, 2026 - curl \ -X POST \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $(gcloud auth print-access-token)" \ "${API_ENDPOINT}/v1/projects/${GOOGLE_CLOUD_PROJECT}/locations/${GOOGLE_CLOUD_LOCATION}/publishers/google/models/${MODEL_ID}:${GENERATE_CONTENT_API}" -d \ $'{ "contents": { "role": "user", "parts": { "text": "Explain how AI works in a few words" } } }' The model returns a response. Note that the response is generated in sections with each section separately evaluated for safety. When you use a regional API endpoint (for example, us-central1), the region from the endpoint URL determines where the request is processed.

This API supports gRPC. See the RPC reference for this API, which provides a generic description of the types, methods, and fields generated for a gRPC library.

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If you want to customize the Google authentication options you can pass them as options to the createGoogleVertex function, for example: ... The Google Cloud project ID that you want to use for the API calls. It uses the GOOGLE_VERTEX_PROJECT environment variable by default.

April 22, 2026 - API quickstart Get started in Agent Studio Get an API key ... Learn about the different tools and services you can use to build agents with Agent Platform. ... The Agent Development Kit (ADK) is a modular, model-agnostic framework designed to make building and deploying complex AI agents feel just like standard software development.

├── notebooks │ ├── official - Notebooks demonstrating use of each Vertex AI service │ │ ├── automl │ │ ├── custom │ │ ├── ... │ ├── community - Notebooks contributed by the community │ │ ├── model_garden │ │ ├── ... ├── community-content - Sample code and tutorials contributed by the community ├── docs - Deep-dive documentation and advanced setup guides └── skills - Suite of AI Agent "Skills" for Vertex AI ├── README.md # Developer guide for Vertex AI skills ├── vertex-ai/ # Primary router fo

You can also start testing Gemini on Agent Platform with an API key. ... Learn how to create text prompts for handling any number of tasks with Agent Platform's generative AI support.

https://aiplatform.googleapis.com/$discovery/rest?version=v1beta1 · A service endpoint is a base URL that specifies the network address of an API service. One service might have multiple service endpoints.

March 27, 2026 - Navigate to the Vertex AI section of your Cloud Console and click Enable Vertex AI API.

June 27, 2025 - Models from leading AI providers integrated into the platform, such as Anthropic Claude, Grok, and Mistral AI. Support for a wide range of open-weights models like DeepSeek, Llama, and Qwen.

For example, increasing max_output_tokens is essential for longer model responses. To make a model more deterministic, lowering the temperature parameter reduces randomness, with values near 0 minimizing variability. Capabilities and parameter defaults for each model is shown in the Vertex ...

May 27, 2026 - This page explains how to use Google Apps Script's Vertex AI advanced service (which connects to the Agent Platform API) to prompt the Gemini 2.5 Flash model to generate text.