Firebase Genkit¶

What it is¶

Firebase Genkit is an open-source framework from the Google Firebase team designed to help app developers build full-stack, AI-powered applications. It focuses on integrating generative AI features using familiar patterns and paradigms from the Firebase ecosystem.

What problem it solves¶

It reduces the friction of building production-ready AI apps by providing a unified interface for LLMs, a streamlined tool-calling system, and built-in observability for debugging and performance tracking. It is specifically designed to work seamlessly with serverless architectures like Firebase Cloud Functions and Cloud Run.

Where it fits in the stack¶

Category: Frameworks / Full-Stack AI Framework

Typical use cases¶

AI-Powered Mobile/Web Apps: Adding features like chatbots, content generation, or data summarization to Firebase apps.
Serverless AI Backends: Running AI logic in Cloud Functions for Firebase or Google Cloud Run.
RAG for App Data: Integrating vector search and document retrieval using Firestore or other vector stores.
Agentic App Logic: Using Genkit "Flows" to orchestrate complex multi-step AI tasks.

Strengths¶

App Developer Centric: Uses paradigms and tooling familiar to mobile and web developers.
Unified API: Support for Gemini, OpenAI, Ollama, DeepSeek, and more.
Developer Experience (DX): Includes a local Developer UI for testing prompts, flows, and tool calls in real-time.
Observability: Built-in support for traces, logs, and token usage metrics.
Seamless Firebase Integration: Works out-of-the-box with Firebase Auth, Firestore, and Cloud Functions.

Limitations¶

Language Support: Currently supports JavaScript/TypeScript and Go, with Python support in development.
Ecosystem Focus: While open-source, it is optimized for the Google Cloud/Firebase stack.

Getting started¶

Installation¶

npm install -g genkit

Initialize Project¶

genkit init

Basic Flow Example (TypeScript)¶

import { defineFlow, run } from '@genkit-ai/flow';
import { generate } from '@genkit-ai/ai';
import { gemini15Flash } from '@genkit-ai/googleai';

export const myFlow = defineFlow(
  { name: 'myFlow', inputSchema: z.string() },
  async (input) => {
    const response = await generate({
      model: gemini15Flash,
      prompt: `Tell me a joke about ${input}`,
    });
    return response.text();
  }
);

Sources / references¶

Contribution Metadata¶

Last reviewed: 2026-05-08
Confidence: high