developing-genkit-dart

Build AI agents with tool calling in Dart by using the Genkit Dart SDK to define custom tools, configure middleware, and expose reusable generative workflows. This connects external model providers directly to your application logic.

LLM integration in Flutter works by initializing Genkit, configuring plugins, and defining schemas to generate text, structured outputs, and streaming responses. This provides a reliable framework for connecting generative models to your UI.

The best way to structure Genkit flows for Dart generative AI is by defining schema definitions and middleware integration within your workflows. This ensures reliable text generation, embeddings, and streaming responses across different model connections.

Yes, you can use Genkit Dart with external model providers like Gemini by configuring the appropriate plugins during Genkit initialization. This enables MCP connections and allows your AI agents to interact with external services.

Yes, you need to configure plugins during Genkit initialization to enable streaming responses and embeddings in Dart. Proper plugin configuration and schema definitions are required to connect and interact with external model providers.