genkitlisted

# Firebase Genkit ## When to use this skill - **AI workflow orchestration**: Building multi-step AI pipelines with type-safe inputs/outputs - **Flow-based APIs**: Wrapping LLM calls into deployable HTTP endpoints - **Tool calling / agents**: Equipping models with custom tools and implementing agentic loops - **RAG pipelines**: Retrieval-augmented generation with vector databases (Pinecone, pgvector, Firestore, Chroma, etc.) - **Multi-agent systems**: Coordinating multiple specialized AI agents - **Streaming responses**: Real-time token-by-token output for chat or long-form content - **Firebase/Cloud Run deployment**: Deploying AI functions to Google Cloud - **Prompt management**: Managing prompts as versioned `.prompt` files with Dotprompt --- ## Installation & Setup ### Step 1: Install the Genkit CLI ```bash # npm (recommended for JavaScript/TypeScript) npm install -g genkit-cli # macOS/Linux binary curl -sL cli.genkit.dev | bash ``` ### Step 2: Create a TypeScript project ```bash mkdir my-genkit-app && cd my-genkit-app npm init -y npm pkg set type=module npm install -D typescript tsx npx tsc --init mkdir src && touch src/index.ts ``` ### Step 3: Install Genkit core and a model plugin ```bash # Core + Google AI (Gemini) — free tier, no credit card required npm install genkit @genkit-ai/google-genai # Or: Vertex AI (requires GCP project) npm install genkit @genkit-ai/vertexai # Or: OpenAI npm install genkit genkitx-openai # Or: Anthropic (Claude) npm install gen