Question 1

How to set up Genkit Dart with Flutter for an AI app?

Accepted Answer

Start by adding the genkit package from pub.dev to your Flutter project's dependencies, then install provider plugins like genkit_google_genai. Configure API keys in your environment and follow the documentation for initializing flows and handling responses.

Question 2

Genkit Dart vs direct API calls to OpenAI: which is better?

Accepted Answer

Genkit Dart is better for multi-provider support, type safety, and agentic workflows, but for simple, single-provider tasks, direct API calls might be lighter and faster to implement without the framework overhead.

Question 3

Can I use Genkit Dart for building AI-powered backend services?

Accepted Answer

Yes, Genkit Dart includes shelf HTTP server integration and middleware, allowing you to create server-side AI applications in Dart, though it's limited to the Dart ecosystem for backend development.

Question 4

What are the costs of using Genkit Dart with different AI providers?

Accepted Answer

Genkit Dart itself is free and open-source, but you pay for the AI providers you use, such as Google AI's Gemini, Anthropic's Claude, or OpenAI's GPT models, based on their respective pricing tiers and usage.

Question 5

How does error handling work in Genkit Dart?

Accepted Answer

The type-safe client library includes comprehensive error handling for API failures, network issues, and invalid responses, with detailed error types that help in debugging production issues efficiently.

Question 6

Is Genkit Dart production-ready for mobile apps?

Accepted Answer

While it offers production-ready features like streaming and error handling, its 'Preview' status means you should test thoroughly for stability, especially in mobile environments where updates might introduce breaking changes.

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