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genkit-dart

Build type-safe Dart applications with a unified interface for text generation and tool calling.

155|26|Updated May 13, 2025
Search Tags:#ai#llm#sdk#agent#dart#generative ai
One-click install
npx skills add https://github.com/genkit-ai/genkit-dart --skill genkit-dart
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: genkit-dart
Source: https://github.com/genkit-ai/genkit-dart/tree/main/skills/genkit-dart
Command: npx skills add https://github.com/genkit-ai/genkit-dart --skill genkit-dart

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive framework for building AI-powered applications using Dart, simplifying complex AI tasks like text generation, tool integration, and agentic workflows.

Core Features & Use Cases

  • Unified AI Interface: Interact with various LLMs (Google, Anthropic, OpenAI) through a single API.
  • Tooling & Flows: Define and use custom tools, and orchestrate complex AI logic into reusable flows.
  • Developer Experience: Integrates with the Genkit CLI for local development, tracing, and debugging.
  • Use Case: Develop a Dart application that uses an LLM to summarize user feedback, categorize it, and then trigger specific actions based on the sentiment.

Quick Start

Initialize Genkit with the Google AI plugin and generate text using the Gemini 2.5 Flash model.

Frequently Asked Questions about genkit-dart

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build AI apps in Dart with multiple LLM providers?▼

You can build AI apps in Dart using a type-safe SDK that provides a unified interface for text generation and tool calling across multiple LLM providers like Google, Anthropic, and OpenAI via plugins.

What's the best way to orchestrate agentic workflows in Dart?▼

The best way to orchestrate agentic workflows in Dart is using a framework that lets you define custom tools and orchestrate complex AI logic into reusable flows with structured output.

Can I use the Genkit CLI for local development and tracing with Dart?▼

Yes, you can use the Genkit CLI for local development, tracing, and debugging AI-powered Dart applications built with the SDK.

Does the Dart AI SDK support structured output and tool calling?▼

Yes, the Dart AI SDK supports structured output and tool calling, enabling you to trigger specific actions based on LLM-generated categorization and sentiment analysis.

Do I need schematic to define data models for AI workflows in Dart?▼

Yes, you need schemantic for data model definitions when building AI-powered applications in Dart to ensure type-safe structured output and tool integration.

Are there limitations when building generative AI applications in Dart?▼

A limitation of building generative AI applications in Dart is that you must rely on specific plugins for LLM provider compatibility and require the schemantic package for data modeling.

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