developing-genkit-go

Build AI applications in Go with generation, structured output, streaming, tool calling, and flows across model providers.

• Core features include text and data generation, prompt templates, tool definition with interrupts, and streaming support across Google AI, Vertex AI, Anthropic, OpenAI, and Ollama
• Define flows for tracing, observability, and HTTP deployment via genkit.Handler; test flows directly from the CLI or Developer UI
• Use middleware for cross-cutting concerns: built-in Retry, Fallback, ToolApproval, Filesystem, and Skills compose via ai.WithUse
• Pass the *Genkit instance explicitly to all SDK functions; use .prompt files with Handlebars templating for complex prompts and struct tags for structured output quality