September 12, 2025 - Gemini for Google Cloud · API and references · Send feedback · The AI-powered assistant for Google Cloud. REST Resource: v1 · REST Resource: v1.projects · REST Resource: v1.projects.locations · REST Resource: v1.projects.locations.cod...

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5 days ago - The specific steps vary depending on the tool (for example, Gemini CLI, VS Code with Gemini Code Assist, or Cursor) but generally involve updating a configuration file for your tool to include the server URL (https://developerknowledge.googleapis.com/mcp) and the necessary authentication method. You can authenticate using Application Default Credentials (ADC) or an API key from your Google Cloud project.

6 days ago - Connect to the Gemini Live API using the Gen AI SDK to build a real-time multimodal application with a Python backend.

5 days ago - Replace GOOGLE_CLOUD_PROJECT_ID with your Google Cloud project ID. Use the generateContent method to send a request to the Gemini API.

5 days ago - To use Gemini on Gemini Enterprise Agent Platform, authenticate by using a Google Cloud API key or application default credentials.

April 29, 2026 - from google.auth import default import google.auth.transport.requests import openai # TODO(developer): Update and un-comment below lines # project_id = "PROJECT_ID" # location = "us-central1" # Programmatically get an access token credentials, _ = default(scopes=["https://www.googleapis.com/auth/cloud-platform"]) credentials.refresh(google.auth.transport.requests.Request()) # OpenAI Client client = openai.OpenAI( base_url=f"https://{location}-aiplatform.googleapis.com/v1/projects/{project_id}/locations/{location}/endpoints/openapi", api_key=credentials.token, ) response = client.chat.completions.create( model="google/gemini-2.0-flash-001", messages=[{"role": "user", "content": "Why is the sky blue?"}], ) print(response)

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May 18, 2026 - Gemini Enterprise Agent Platform offers a comprehensive ecosystem of enterprise ready features and services for building and deploying generative AI applications backed by the Google Cloud ...

To provide an integrated assistance experience, Gemini for Google Cloud is embedded in many Google Cloud products. API reference documentation for Cloud AI Companion can be found at https://docs.cloud.google.com/gemini/docs/api/reference/rest.

August 12, 2025 - The key is the prompt sent to the Gemini API. It instructs the model to perform multiple tasks on a single video frame. This leverages Gemini's powerful multimodal capabilities. ... When a defect is found, Gemini doesn't just flag it; it provides quantitative data (e.g., length of a scratch). This data can be used to calculate a severity score based on weighted parameters like defect size, type, and location, removing human subjectivity from the process. ... This second Cloud Run service acts on the data from the inspection service.

2 weeks ago - The Agent Platform API lets you manage Agent Platform resources in Google Cloud.

Firebase AI Logic also integrates with other products in Google's Firebase developer platform (like Cloud Firestore and Firebase Remote Config), while also giving you streamlined access to the tools, workflows, and scale offered through Google Cloud. You can choose a "Gemini API" provider, either the Vertex AI Gemini API or the Gemini Developer API, which also provides a no-cost tier.

1 week ago - Build real-time voice applications and agents with the Live API. ... Connect Gemini to the world through built-in tools like Google Search, URL Context, Google Maps, Code Execution and Computer Use.

December 20, 2023 - Getting Started with Gemini AI API via Google Cloud Code Application Templates The Gemini Model is available to all developers and I wanted to share with you one way via which you can test out the …

1 week ago - API keys provide access to the Gemini API, but their security characteristics differ. The Gemini API is transitioning from standard API keys to authorization keys to improve security: Standard API keys: Associate requests with a Google Cloud project for billing and quota purposes.

April 23, 2026 - Requires active Google Cloud credentials and Agent Platform API enabled. IMPORTANT: Agent Platform (full name Gemini Enterprise Agent Platform) was previously named "Vertex AI" and many web resources use the legacy branding.

5 days ago - GOOGLE_CLOUD_PROJECT="GOOGLE_CLOUD_PROJECT" MODEL_ID="gemini-3.5-flash" GOOGLE_CLOUD_LOCATION="GOOGLE_CLOUD_LOCATION" # Must be 'us' or 'eu' # Explicitly use the .rep. hostname for multi-region endpoints API_ENDPOINT="https://aiplatform.${GOOGLE_CLOUD_LOCATION}.rep.googleapis.com" curl -X POST \ -H "Authorization: Bearer $(gcloud auth print-access-token)" \ -H "Content-Type: application/json" \ "${API_ENDPOINT}/v1/projects/${GOOGLE_CLOUD_PROJECT}/locations/${GOOGLE_CLOUD_LOCATION}/publishers/google/models/${MODEL_ID}:generateContent" \ -d '{ "contents": { "role": "user", "parts": { "text": "Explain how AI works in a few words" } } }'

Activate the Gemini API for your Google Cloud project through the API Library in the Cloud Console.

2 days ago - A config-driven, REST-first API for building autonomous agents inside a fully managed sandbox.