Genkit Dart is an AI SDK for Dart that provides a unified interface for code generation, structured outputs, tools, flows, and AI agents.

If you need help with initializing Genkit (), Generation (), Tooling (), Flows (), Embeddings (), streaming, or calling remote flow endpoints, please load the core framework reference: references/genkit.md

The Genkit CLI provides a local development UI for running Flow, tracing executions, playing with models, and evaluating outputs.

check if the user has it installed:

curl -sL cli.genkit.dev | bash # Native CLI
# OR
npm install -g genkit-cli # Via npm

Usage: Wrap your run command with to attach the Genkit developer UI and tracing:

genkit start -- dart run main.dart

Genkit relies on a large suite of plugins to perform generative AI actions, interface with external LLMs, or host web servers.

When asked to use any given plugin, always verify usage by referring to its corresponding reference below. You should load the reference when you need to know the specific initialization arguments, tools, models, and usage patterns for the plugin:

genkit_google_genai

genkit_anthropic

genkit_openai

genkit_middleware

filesystem

skills

toolApproval

genkit_mcp

genkit_chrome

genkit_shelf

genkit_firebase_ai

Whenever you define schemas mapping inside of Tools, Flows, and Prompts, you must use the schemantic library. To learn how to use schemantic, ensure you read references/schemantic.md for how to implement type safe generated Dart code. This is particularly relevant when you encounter symbols like , , or classes with the prefix. Genkit Dart uses schemantic for all of its data models so it's a CRITICAL skill to understand for using Genkit Dart.