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Google GenAI plugin for Genkit\n\nThis plugin provides a unified interface to connect with Google's generative AI models, offering access through both the **Gemini Developer API** and **Vertex AI**. It is a replacement for the previous `googleAI` and `vertexAI` plugins.\n\nOfficial documentation:\n\n- [Genkit + Gemini Developer API](https://genkit.dev/docs/integrations/google-genai/)\n- [Genkit + Vertex AI](https://genkit.dev/docs/integrations/vertex-ai/)\n\n## Installation\n\n```bash\nnpm i --save @genkit-ai/google-genai\n```\n\n## Configuration\n\nThis unified plugin exports two main initializers:\n\n- `googleAI`: Allows access to models via the Gemini Developer API using API key authentication.\n- `vertexAI`: Allows access to models via Google Cloud Vertex AI. Authentication can be done via Google Cloud Application Default Credentials (ADC) or a simpler API Key for Express Mode.\n\nYou can configure one or both in your Genkit setup depending on your needs.\n\n### Using the Gemini Developer API (`googleAI`)\n\nIdeal for quick prototyping and access to models available in Google AI Studio.\n\n**Authentication:** Requires a Google AI API Key, which you can get from [Google AI Studio](https://aistudio.google.com/apikey). You can provide this key by setting the `GEMINI_API_KEY` or `GOOGLE_API_KEY` environment variables, or by passing it in the plugin configuration.\n\n```typescript\nimport { genkit } from 'genkit';\nimport { googleAI } from '@genkit-ai/google-genai';\n\nconst ai = genkit({\n  plugins: [\n    googleAI(),\n    // Or with an explicit API key:\n    // googleAI({ apiKey: 'your-api-key' }),\n  ],\n});\n```\n\n### Using Vertex AI (`vertexAI`)\n\nSuitable for applications leveraging Google Cloud's AI infrastructure.\n\n**Authentication Methods:**\n\n-   **Application Default Credentials (ADC):** The standard method for most Vertex AI use cases, especially in production. It uses the credentials from the environment (e.g., service account on GCP, user credentials from `gcloud auth application-default login` locally). This method requires a Google Cloud Project with billing enabled and the Vertex AI API enabled.\n-   **Vertex AI Express Mode:** A streamlined way to try out many Vertex AI features using just an API key, without needing to set up billing or full project configurations. This is ideal for quick experimentation and has generous free tier quotas. [Learn More about Express Mode](https://cloud.google.com/vertex-ai/generative-ai/docs/start/express-mode/overview).\n\n```typescript\nimport { genkit } from 'genkit';\nimport { vertexAI } from '@genkit-ai/google-genai';\n\nconst ai = genkit({\n  plugins: [\n    // Using Application Default Credentials (Recommended for full features)\n    vertexAI({ location: 'us-central1' }), // Regional endpoint\n    // vertexAI({ location: 'global' }),      // Global endpoint\n\n    // OR\n\n    // Using Vertex AI Express Mode (Easy to start, some limitations)\n    // Get an API key from the Vertex AI Studio Express Mode setup.\n    // vertexAI({ apiKey: process.env.VERTEX_EXPRESS_API_KEY }),\n  ],\n});\n```\n\n*Note: When using Express Mode, you do not provide `projectId` and `location` in the plugin config.*\n\n### Using Both Google AI and Vertex AI\n\nYou can configure both plugins if you need to access models or features from both services.\n\n```typescript\nimport { genkit } from 'genkit';\nimport { googleAI, vertexAI } from '@genkit-ai/google-genai';\n\nconst ai = genkit({\n  plugins: [\n    googleAI(),\n    vertexAI()\n  ],\n});\n```\n\n## Usage Examples\n\nAccess models and embedders through the configured plugin instance (`googleAI` or `vertexAI`).\n\n### Text Generation (Gemini)\n\n**With `googleAI`:**\n```typescript\nimport { genkit } from 'genkit';\nimport { googleAI } from '@genkit-ai/google-genai';\n\nconst ai = genkit({\n  plugins: [googleAI()],\n});\n\nconst response = await ai.generate({\n  model: googleAI.model('gemini-2.5-flash'),\n  prompt: 'Tell me something interesting about Google AI.',\n});\n\nconsole.log(response.text());\n```\n\n**With `vertexAI`:**\n```typescript\nimport { genkit } from 'genkit';\nimport { vertexAI } from '@genkit-ai/google-genai';\n\nconst ai = genkit({\n  plugins: [vertexAI()],\n});\n\nconst response = await ai.generate({\n  model: vertexAI.model('gemini-2.5-pro'),\n  prompt: 'Explain Vertex AI in simple terms.',\n});\n\nconsole.log(response.text());\n```\n\n### Text Embedding\n\n**With `googleAI`:**\n```typescript\nimport { genkit } from 'genkit';\nimport { googleAI } from '@genkit-ai/google-genai';\n\nconst ai = genkit({\n  plugins: [googleAI()],\n});\n\nconst embeddings = await ai.embed({\n  embedder: googleAI.embedder('gemini-embedding-001'),\n  content: 'Embed this text.',\n});\n```\n\n**With `vertexAI`:**\n```typescript\nimport { genkit } from 'genkit';\nimport { vertexAI } from '@genkit-ai/google-genai';\n\nconst ai = genkit({\n  plugins: [vertexAI()],\n});\n\nconst embeddings = await ai.embed({\n  embedder: vertexAI.embedder('text-embedding-005'),\n  content: 'Embed this text.',\n});\n```\n\n### Image Generation (Imagen)\n\n**With `googleAI`:**\n```typescript\nimport { genkit } from 'genkit';\nimport { googleAI } from '@genkit-ai/google-genai';\n\nconst ai = genkit({\n  plugins: [googleAI()],\n});\n\nconst response = await ai.generate({\n  model: googleAI.model('imagen-3.0-generate-002'),\n  prompt: 'A beautiful watercolor painting of a castle in the mountains.',\n});\n\nconst generatedImage = response.media();\n```\n\n**With `vertexAI`:**\n```typescript\nimport { genkit } from 'genkit';\nimport { vertexAI } from '@genkit-ai/google-genai';\n\nconst ai = genkit({\n  plugins: [vertexAI()],\n});\n\nconst response = await ai.generate({\n  model: vertexAI.model('imagen-3.0-generate-002'),\n  prompt: 'A beautiful watercolor painting of a castle in the mountains.',\n});\n\nconst generatedImage = response.media();\n```\n\n### Music Generation (Lyria - Vertex AI Only)\n\n```typescript\nimport { genkit } from 'genkit';\nimport { vertexAI } from '@genkit-ai/google-genai';\n\nconst ai = genkit({\n  plugins: [vertexAI()],\n});\n\nconst response = await ai.generate({\n  model: vertexAI.model('lyria-002'),\n  prompt: 'A relaxing, instrumental piano track.',\n});\n\nconst generatedAudio = response.media();\n```\n\n## Key Differences\n\n-   **`googleAI`**: Easier setup for smaller projects, great for prototyping with Google AI Studio. Uses API keys.\n-   **`vertexAI`**: Enterprise-ready, integrates with Google Cloud IAM and other Vertex AI services. Offers a broader range of models and features like Lyria, fine-tuning, and more robust governance. Vertex AI Express Mode provides a low-friction entry point using an API key.\n\nChoose the interface based on your project's scale, infrastructure, and feature requirements.\n\n## Feedback\n\nThe sources for this package are in the main [Genkit](https://github.com/firebase/genkit) repo. Please file issues and pull requests against that repo.\n\n## Links\n\n-  **Documentation:** [https://genkit.dev/docs/plugins/google-genai/](https://genkit.dev/docs/plugins/google-genai)\n-   **Source Code:** [https://github.com/firebase/genkit/tree/main/js/plugins/google-genai](https://github.com/firebase/genkit/tree/main/js/plugins/google-genai)\n-   **Google AI Studio:** [https://aistudio.google.com/](https://aistudio.google.com/)\n-   **Vertex AI:** [https://cloud.google.com/vertex-ai](https://cloud.google.com/vertex-ai)\n-   **Vertex AI Express Mode:** [https://cloud.google.com/vertex-ai/generative-ai/docs/start/express-mode/overview](https://cloud.google.com/vertex-ai/generative-ai/docs/start/express-mode/overview)\n\n## License\n\nApache-2.0","users":{}}