# @core-ai/google-genai

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Google GenAI provider package for `@core-ai/core-ai`.

## Installation

```bash
npm install @core-ai/core-ai @core-ai/google-genai zod
```

## Usage

```ts
import { generate } from '@core-ai/core-ai';
import { createGoogleGenAI } from '@core-ai/google-genai';

const google = createGoogleGenAI({ apiKey: process.env.GOOGLE_API_KEY });
const model = google.chatModel('gemini-3-flash');

const result = await generate({
    model,
    messages: [{ role: 'user', content: 'Hello!' }],
});

console.log(result.content);
```

## Image generation

`imageModel()` supports Gemini native image models and dedicated Imagen models:

```ts
import { generateImage } from '@core-ai/core-ai';

const result = await generateImage({
    model: google.imageModel('gemini-2.5-flash-image'),
    prompt: 'A watercolor robot in a mountain cabin at sunrise',
    size: '1024x1024',
});

console.log(result.images[0]?.base64);
```

Gemini model IDs use native multimodal generation and return base64 image
data. Imagen model IDs such as `imagen-4.0-generate-001` use the dedicated
Imagen API and also support generating multiple images with `n`.