> ## Documentation Index > Fetch the complete documentation index at: https://mintlify.com/firebase/genkit/llms.txt > Use this file to discover all available pages before exploring further. # Examples and Samples > Explore Genkit examples and sample applications across JavaScript, Go, and Python Genkit provides a comprehensive collection of examples and sample applications to help you get started and learn different features of the framework. ## Interactive Examples Play with AI sample apps with visualizations of the Genkit code that powers them, at no cost to you. Explore interactive examples in your browser ## Sample Applications by Language ### JavaScript/TypeScript Samples The JavaScript samples demonstrate various Genkit features and use cases: #### Basic Samples Simple "AI barista" demonstrating basic LLM usage Getting started with Google's Gemini models Using OpenAI models with Genkit Various prompting patterns and techniques #### Intermediate Samples Progressive restaurant menu app with 5 iterations: * Basic prompts with templates * Flows with strong schemas and tools * Multi-turn chat with session history * Vector database and RAG * Vision model for photo menu ingestion RPG character generation with structured output Full-stack chatbot with JavaScript frontend and multi-model support Angular application with streaming AI responses #### Advanced Samples Multi-agent architecture with routing: * **RoutingAgent**: Main entry point and router * **AttendanceAgent**: Specialized for absence/tardy reporting * **GradesAgent**: Manages academic performance queries Demonstrates agent handoff, specialized tools, and separation of concerns ### Go Samples The Go SDK includes extensive samples covering various capabilities: #### Basic Go Samples * **basic**: Simple text generation * **basic-prompts**: Working with prompt templates * **basic-structured**: Structured output generation * **anthropic**: Using Anthropic Claude models * **coffee-shop**: AI barista example in Go #### Model Integration Samples * **gemini**: Google Gemini integration * **cache-gemini**: Context caching with Gemini * **code-execution-gemini**: Server-side code execution * **imagen**: Image generation with Imagen * **imagen-gemini**: Combined image and text generation * **compat\_oai**: OpenAI-compatible API integration (Anthropic, Custom, OpenAI) #### Advanced Go Samples * **flow-sample1**: Building flows * **formats**: Output formatting examples * **intermediate-interrupts**: Human-in-the-loop workflows * **durable-streaming**: Streaming with durability * **durable-streaming-firestore**: Streaming with Firestore backend * **firebase-retrievers**: Firebase vector search integration * **files-api-vision**: Vision with Files API * **menu**: Restaurant menu understanding (Go port) #### MCP (Model Context Protocol) Samples * **mcp-client**: MCP client implementation * **mcp-server**: MCP server with client example * **mcp-ception**: Advanced MCP patterns * **mcp-git-pr-explainer**: GitHub PR analysis using MCP Browse the complete Go samples directory ### Python Samples (Alpha) Python samples are organized by category with consistent structure: #### Model Provider Samples * **provider-google-genai-hello**: Gemini with Google AI * **provider-google-genai-vertexai-hello**: Gemini with Vertex AI * **provider-google-genai-code-execution**: Server-side code execution * **provider-google-genai-context-caching**: Context caching for long prompts * **provider-google-genai-vertexai-image**: Imagen image generation * **provider-google-genai-media-models-demo**: TTS, Veo, Lyria, Imagen, editing * **provider-anthropic-hello**: Claude models * **provider-amazon-bedrock-hello**: AWS Bedrock (Claude, Llama, Nova) * **provider-microsoft-foundry-hello**: Azure AI Foundry + Application Insights * **provider-ollama-hello**: Local models with Ollama * **provider-compat-oai-hello**: OpenAI-compatible APIs * **provider-deepseek-hello**: DeepSeek V3 and R1 * **provider-xai-hello**: Grok models * **provider-cloudflare-workers-ai-hello**: Cloudflare Workers AI * **provider-mistral-hello**: Mistral models * **provider-huggingface-hello**: HuggingFace Inference API * **provider-cohere-hello**: Cohere models and embeddings * **provider-vertex-ai-model-garden**: Third-party models via Model Garden * **provider-vertex-ai-rerank-eval**: Rerankers and evaluators * **provider-vertex-ai-vector-search-bigquery**: BigQuery with vectors * **provider-vertex-ai-vector-search-firestore**: Firestore with vectors * **provider-firestore-retriever**: Firestore vector search * **provider-checks-hello**: Google Checks AI safety guardrails * **provider-observability-hello**: Sentry, Honeycomb, Datadog, Grafana, Axiom #### Framework Feature Samples * **framework-context-demo**: Context propagation through flows * **framework-dynamic-tools-demo**: Dynamic tool registration * **framework-evaluator-demo**: Custom evaluators and RAGAS * **framework-format-demo**: Output formatting and schemas * **framework-middleware-demo**: Custom retry and logging middleware * **framework-prompt-demo**: Dotprompt features (picoschema, roles, media, variants, helpers) * **framework-realtime-tracing-demo**: Real-time tracing visualization * **framework-restaurant-demo**: Restaurant ordering with tools and RAG * **framework-tool-interrupts**: Human-in-the-loop tool approval #### Web Framework Samples * **web-endpoints-hello**: FastAPI, Litestar, Quart, gRPC endpoints * **web-fastapi-bugbot**: AI code reviewer with streaming SSE * **web-flask-hello**: Flask HTTP endpoints * **web-multi-server**: Multiple Genkit servers (Litestar, Starlette) * **web-short-n-long**: ASGI deployment with long-running flows Browse the complete Python samples directory with detailed README ## Running Samples ### JavaScript/TypeScript ```bash theme={null} cd samples/ npm install export GEMINI_API_KEY=your_api_key # or other provider key npm run genkit:dev ``` Access the Developer UI at [http://localhost:4000](http://localhost:4000) ### Go ```bash theme={null} cd go/samples/ go mod tidy export GOOGLE_GENAI_API_KEY=your_api_key genkit start -- go run . ``` Access the Developer UI at [http://localhost:4000](http://localhost:4000) ### Python ```bash theme={null} cd py/samples/ ./run.sh # Starts DevUI and runs with hot reload ``` Each Python sample includes a `run.sh` script with automatic dependency installation and hot reloading. ## Try in Cloud IDEs ### IDX (Google) Try JavaScript samples in Google's Cloud-Based IDE: Try in IDX ### Firebase Studio Skip local setup entirely and try Genkit using Firebase Studio: Open in Firebase Studio ## Sample Categories ### By Complexity * **Basic**: Simple single-feature demonstrations (coffee-shop, basic prompts, simple generation) * **Intermediate**: Multi-feature integration (menu app, chatbot, character generator, streaming) * **Advanced**: Complex architectures (multi-agent systems, RAG pipelines, MCP integration) ### By Feature * **Text Generation**: coffee-shop, gemini, openai, prompts * **Structured Output**: character-generator, basic-structured, formats * **Tool Calling**: menu (step 2+), schoolAgent, framework-dynamic-tools-demo * **Chat/Sessions**: chatbot, angular, framework-restaurant-demo * **RAG**: menu (step 4), framework-restaurant-demo * **Multimodal**: menu (step 5), files-api-vision, imagen samples, media-models-demo * **Streaming**: angular, chatbot, durable-streaming, fastapi-bugbot * **Multi-Agent**: schoolAgent * **Evaluation**: framework-evaluator-demo, vertex-ai-rerank-eval ## Contributing Examples We welcome new examples! See our [Contributing Guide](/resources/contributing) for guidelines on: * Example structure and naming conventions * Documentation requirements * Testing and validation * Submitting pull requests ## Additional Resources Community-contributed samples and examples Official Genkit documentation Ask questions and share your examples Get help and connect with other developers