Gemini API Enterprise Integration Guide

Guides you to correctly use the Gemini API in an enterprise Agent Platform environment (formerly Vertex AI / Gemini Enterprise Agent Platform) with the unified Google Gen AI SDK. It covers setup, authentication (ADC or Express Mode API key), client initialization, and model selection for Python, JS/TS, Go, Java, and C#/.NET with clear directives; it keeps you from falling back on deprecated old SDKs and legacy models.

When to use it: when you'll run Gemini in an enterprise environment; when Vertex AI, Google Cloud, or Agent Platform is explicitly mentioned; or when you'll integrate one of the capabilities like text generation, multimodal understanding, function calling, structured JSON output, context caching, embeddings, the Live Realtime API, or Batch Prediction.

What it produces: Markdown output with runnable code samples and a step-by-step integration guide — the correct SDK/model matrix, environment-variable-based authentication setup, language-specific client initialization patterns, a structured-output example using response_schema, and a pre-production checklist. Requires active Google Cloud credentials and an enabled Agent Platform API.