Genkit MCP

# War and Peace Context Caching Test Application This sample application demonstrates the use of **context caching** with Google's Gemini models via the Google Generative AI plugin in Genkit. The focus is on analyzing content from large texts like _War and Peace_. ## Features - **Dynamic Content Loading**: Supports loading text from files or fetching default content online. - **Context Caching**: Reuses previously cached content to optimize performance. - **Flexible Query Handling**: Allows default and user-defined queries. ## Installation Ensure you have the necessary dependencies installed. ### Prerequisites - **Node.js** version 20 or higher - **npm** or **pnpm** for package management ### Install Dependencies ```bash npm install ``` or ```bash pnpm install ``` ## Scripts The following scripts are available: - **`build`**: Compile TypeScript files. - **`build:watch`**: Watch for changes and recompile TypeScript files. - **`start`**: Run the compiled application. - **`dev`**: Start the application in development mode with environment variable setup. - **`genkit:dev`**: Run the application with `GENKIT_ENV=dev`. ## Configuration This application uses the Google Generative AI plugin for Genkit. Ensure you have a valid API key for the Gemini API. ### API Key Setup You can configure the API key in two ways: 1. **Environment Variable**: ```bash export GOOGLE_GENAI_API_KEY=your_api_key_here ``` 2. **Inline Configuration** (for testing only, not recommended for production): ```ts googleAI({ apiKey: yourKey }); ``` ## Usage ### Running the Application To start the application: ```bash npm run dev ``` or ```bash pnpm dev ``` ### Sample Flow The application defines a `warAndPeaceFlow` for analyzing _War and Peace_. You can either provide a local text file path or use the default content fetched online. Example: ```ts const defaultQuery = "Describe Pierre Bezukhov's transformation throughout the novel."; ``` ### Output The output will be generated by the model based on the provided context and query. ## Dependencies - **@genkit-ai/googleai**: Provides the interface for Google Gemini models. - **genkit**: Framework for integrating generative models. - **typescript**: TypeScript support for the application. - **cross-env**: Cross-platform environment variable setup. ## License This project is licensed under the ISC License. --- **Note**: Ensure your API key is managed securely in production environments. Avoid embedding sensitive information directly in your codebase.