genkit▌

Unified AI SDK for Dart enabling code generation, structured outputs, tools, flows, and agents. \n \n Provides core APIs for generation, tool definition, flow orchestration, embeddings, and streaming with a single interface \n Includes 8+ plugins for LLM providers (Google Gemini, Anthropic Claude, OpenAI GPT), Firebase AI, Model Context Protocol, Chrome browser integration, and HTTP server hosting via Shelf \n Built-in CLI with local development UI for flow execution, tracing, model experimentat

Ensure the genkit CLI is available.

Build AI-powered Node.js/TypeScript applications with Genkit flows, tools, and multi-model support. \n \n Genkit is provider-agnostic; supports Google AI, OpenAI, Anthropic, Ollama, and other LLM providers via plugins \n Define flows with type-safe schemas using Zod, execute generation requests, and compose multi-step AI workflows in TypeScript \n Requires Genkit CLI v1.29.0+; recent major API changes mean you must consult genkit docs:read and common-errors.md for current patterns, not prior kno

Type-safe AI workflows with flows, agents, RAG, and multi-model support across TypeScript, Go, and Python. \n \n Supports Gemini, OpenAI, Anthropic, Ollama, and Vertex AI with pluggable model providers; deploy to Firebase Cloud Functions or Cloud Run \n Define type-safe flows with Zod schemas for inputs/outputs; includes streaming, tool calling, and agentic loops with auto-execution \n Built-in RAG with vector database integrations (Pinecone, pgvector, Firestore, Chroma, LanceDB) and retrieval-a