Genkit Dart is an open-source framework by Google that brings provider-agnostic AI integration to Dart and Flutter developers. It provides a unified interface for multiple AI providers (Gemini, Claude, GPT, local models), typed flows with schema-based structured output via the schemantic package, tool calling, streaming, and a local Developer UI for testing. The guide covers all core concepts including flows, plugins, multimodal input, and three Flutter architecture patterns (client-side, remote models, server-side flows). It culminates in building LensID, a real-time item identification app that captures camera photos and returns structured AI analysis using Gemini's multimodal capabilities.
Table of contents
Table of ContentsPrerequisitesWhat Is Genkit?Why Genkit Dart Changes Everything for Flutter DevelopersCore ConceptsEvery AI Provider Supported by Genkit DartFlows: The Heart of GenkitType Safety with SchemanticTool CallingStreaming ResponsesMultimodal InputStructured OutputThe Developer UIRunning Genkit in Flutter: Three Architecture PatternsDeploymentObservability and TracingBuilding a Real-Time Item Identification AppScreenshotsArchitectural DiagramWhere Genkit Dart Is HeadedConclusionReferencesSort: