LoopyLuci Gemini API in Agent Platform
Access Google's most advanced AI models for enterprise use cases using the Gemini API in Agent Platform (formerly Vertex AI).
SDK Installation
| Language | Package | Install Command |
|---|---|---|
| Python | google-genai |
pip install google-genai |
| JS/TS | @google/genai |
npm install @google/genai |
| Go | google.golang.org/genai |
go get google.golang.org/genai |
| Java | com.google.genai:google-genai |
Add to build.gradle or pom.xml |
| C# | Google.GenAI |
dotnet add package Google.GenAI |
Authentication
export GOOGLE_CLOUD_PROJECT='your-project-id'
export GOOGLE_CLOUD_LOCATION='global'
export GOOGLE_GENAI_USE_ENTERPRISE=true
Code Example: Python
from google import genai
client = genai.Client()
response = client.models.generate_content(
model="gemini-3.6-flash",
contents="Explain quantum computing",
)
print(response.text)
Code Example: JavaScript/TypeScript
import { GoogleGenAI } from "@google/genai";
const ai = new GoogleGenAI({ enterprise: { project: "your-project-id", location: "global" } });
const response = await ai.models.generateContent({
model: "gemini-3.6-flash",
contents: "Explain quantum computing"
});
console.log(response.text);
Recommended Models
gemini-3.1-pro-preview— Complex reasoning, coding, research (1M tokens)gemini-3.6-flash— Fast, balanced performance, multimodal (1M tokens)gemini-3.5-flash-lite— High-frequency, lightweight tasks (1M tokens)
Common Pitfalls
- Legacy SDKs: Do NOT use
google-cloud-aiplatform,@google-cloud/vertexai, orgoogle-generativeai— they are deprecated - Model naming: Use correct model names (e.g.,
gemini-3.6-flash, not legacygemini-pro) - Enterprise flag: Set
GOOGLE_GENAI_USE_ENTERPRISE=truefor Agent Platform access
Verification Checklist
- Gen AI SDK installed for the target language
- Environment variables configured (
GOOGLE_CLOUD_PROJECT,GOOGLE_CLOUD_LOCATION) - API enabled:
gcloud services enable aiplatform.googleapis.com - Basic generate_content call succeeds