Moved menu and coffee shop samples into top level samples folder

samples/js-coffee-shop/README.md

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+## Running the sample
+
+```bash
+npm i
+genkit start
+```

samples/js-coffee-shop/package.json

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+{
+  "name": "coffee-shop",
+  "version": "1.0.0",
+  "description": "Samples for a coffeeshop",
+  "main": "lib/index.js",
+  "scripts": {
+    "start": "node lib/index.js",
+    "compile": "tsc",
+    "build": "npm run build:clean && npm run compile",
+    "build:clean": "rm -rf ./lib",
+    "build:watch": "tsc --watch",
+    "build-and-run": "npm run build && node lib/index.js"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "dependencies": {
+    "@genkit-ai/ai": "~0.5.0-rc.11",
+    "@genkit-ai/core": "~0.5.0-rc.11",
+    "@genkit-ai/dotprompt": "~0.5.0-rc.11",
+    "@genkit-ai/flow": "~0.5.0-rc.11",
+    "genkitx-chromadb": "~0.5.0-rc.11",
+    "@genkit-ai/dev-local-vectorstore": "~0.5.0-rc.11",
+    "@genkit-ai/firebase": "~0.5.0-rc.11",
+    "@genkit-ai/googleai": "~0.5.0-rc.11",
+    "genkitx-ollama": "~0.5.0-rc.11",
+    "genkitx-pinecone": "~0.5.0-rc.11",
+    "@genkit-ai/evaluator": "~0.5.0-rc.11",
+    "@genkit-ai/vertexai": "~0.5.0-rc.11",
+    "zod": "^3.22.4"
+  },
+  "devDependencies": {
+    "typescript": "^5.3.3"
+  }
+}

samples/js-menu/README.md

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+## Menu Understanding Sample Application
+
+This sample demonstrates an application that can understand a restaurant menu and answer relevant questions about the items on the menu.
+
+There are 5 iterations of this sample application, growing in complexity and demonstrating utilization of many different Genkit features.
+
+To test each one out, open the Developer UI and exercise the prompts and flows. Each step contains one or more `example.json` files which you can use as inputs.
+
+### Prerequisites
+
+This example uses Vertex AI for language models and embeddings.
+
+### Prompts and Flows
+
+1. This step shows how to define prompts in code that can accept user input to their templates.
+2. This step illustrates how to wrap your llm calls and other application code into flows with strong input and output schemas.
+   It also adds an example of tool usage to load the menu from a data file.
+3. This step adds session history and supports a multi-turn chat with the model.
+4. This step ingests the menu items into a vector database and uses retrieval to include releveant menu items in the prompt.
+5. This step illustrates how to combine models with different modalities. It uses a vision model to ingest the menu items from a photograph.
+
+## Running the sample
+
+```bash
+npm i
+genkit start
+```

samples/js-menu/data/menu.json

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+[
+  {
+    "title": "Mozzarella Sticks",
+    "price": 8,
+    "description": "Crispy fried mozzarella sticks served with marinara sauce."
+  },
+  {
+    "title": "Chicken Wings",
+    "price": 10,
+    "description": "Crispy fried chicken wings tossed in your choice of sauce."
+  },
+  {
+    "title": "Nachos",
+    "price": 12,
+    "description": "Crispy tortilla chips topped with melted cheese, chili, sour cream, and salsa."
+  },
+  {
+    "title": "Onion Rings",
+    "price": 7,
+    "description": "Crispy fried onion rings served with ranch dressing."
+  },
+  {
+    "title": "French Fries",
+    "price": 5,
+    "description": "Crispy fried french fries."
+  },
+  {
+    "title": "Mashed Potatoes",
+    "price": 6,
+    "description": "Creamy mashed potatoes."
+  },
+  {
+    "title": "Coleslaw",
+    "price": 4,
+    "description": "Homemade coleslaw."
+  },
+  {
+    "title": "Classic Cheeseburger",
+    "price": 12,
+    "description": "A juicy beef patty topped with melted American cheese, lettuce, tomato, and onion on a toasted bun."
+  },
+  {
+    "title": "Bacon Cheeseburger",
+    "price": 14,
+    "description": "A classic cheeseburger with the addition of crispy bacon."
+  },
+  {
+    "title": "Mushroom Swiss Burger",
+    "price": 15,
+    "description": "A beef patty topped with sautéed mushrooms, melted Swiss cheese, and a creamy horseradish sauce."
+  },
+  {
+    "title": "Chicken Sandwich",
+    "price": 13,
+    "description": "A crispy chicken breast on a toasted bun with lettuce, tomato, and your choice of sauce."
+  },
+  {
+    "title": "Pulled Pork Sandwich",
+    "price": 14,
+    "description": "Slow-cooked pulled pork on a toasted bun with coleslaw and barbecue sauce."
+  },
+  {
+    "title": "Reuben Sandwich",
+    "price": 15,
+    "description": "Thinly sliced corned beef, Swiss cheese, sauerkraut, and Thousand Island dressing on rye bread."
+  },
+  {
+    "title": "House Salad",
+    "price": 8,
+    "description": "Mixed greens with your choice of dressing."
+  },
+  {
+    "title": "Caesar Salad",
+    "price": 9,
+    "description": "Romaine lettuce with croutons, Parmesan cheese, and Caesar dressing."
+  },
+  {
+    "title": "Greek Salad",
+    "price": 10,
+    "description": "Mixed greens with feta cheese, olives, tomatoes, cucumbers, and red onions."
+  },
+  {
+    "title": "Chocolate Lava Cake",
+    "price": 8,
+    "description": "A warm, gooey chocolate cake with a molten chocolate center."
+  },
+  {
+    "title": "Apple Pie",
+    "price": 7,
+    "description": "A classic apple pie with a flaky crust and warm apple filling."
+  },
+  {
+    "title": "Cheesecake",
+    "price": 8,
+    "description": "A creamy cheesecake with a graham cracker crust."
+  }
+]

samples/js-menu/package.json

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+{
+  "name": "menu",
+  "version": "1.0.0",
+  "description": "Samples for a menu understanding app",
+  "main": "lib/index.js",
+  "scripts": {
+    "start": "node lib/index.js",
+    "compile": "tsc",
+    "build": "npm run build:clean && npm run compile",
+    "build:clean": "rm -rf ./lib",
+    "build:watch": "tsc --watch",
+    "build-and-run": "npm run build && node lib/index.js"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "dependencies": {
+    "@genkit-ai/ai": "~0.5.0-rc.11",
+    "@genkit-ai/core": "~0.5.0-rc.11",
+    "@genkit-ai/dotprompt": "~0.5.0-rc.11",
+    "@genkit-ai/flow": "~0.5.0-rc.11",
+    "@genkit-ai/dev-local-vectorstore": "~0.5.0-rc.11",
+    "@genkit-ai/firebase": "~0.5.0-rc.11",
+    "@genkit-ai/evaluator": "~0.5.0-rc.11",
+    "@genkit-ai/vertexai": "~0.5.0-rc.11",
+    "zod": "^3.22.4"
+  },
+  "devDependencies": {
+    "typescript": "^5.3.3"
+  }
+}

samples/js-menu/src/01/example.json

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+{
+  "input": {
+    "question": "Which of your burgers would you recommend for someone like me who loves bacon?"
+  }
+}

samples/js-menu/src/01/prompts.ts

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+/**
+ * Copyright 2024 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+import { definePrompt } from '@genkit-ai/ai';
+import { GenerateRequest } from '@genkit-ai/ai/model';
+import { defineDotprompt } from '@genkit-ai/dotprompt';
+import { geminiPro } from '@genkit-ai/vertexai';
+import { MenuQuestionInput, MenuQuestionInputSchema } from '../types';
+
+// Define a prompt to handle a customer question about the menu.
+// This prompt uses definePrompt directly.
+
+export const s01_vanillaPrompt = definePrompt(
+  {
+    name: 's01_vanillaPrompt',
+    inputSchema: MenuQuestionInputSchema,
+  },
+  async (input: MenuQuestionInput): Promise<GenerateRequest> => {
+    const promptText = `
+    You are acting as a helpful AI assistant named "Walt" that can answer 
+    questions about the food available on the menu at Walt's Burgers.
+    Customer says: ${input.question}
+    `;
+
+    return {
+      messages: [{ role: 'user', content: [{ text: promptText }] }],
+      config: { temperature: 0.3 },
+    };
+  }
+);
+
+// Define another prompt which uses the Dotprompt library
+// that also gives us a type-safe handlebars template system,
+// and well-defined output schemas.
+
+export const s01_staticMenuDotPrompt = defineDotprompt(
+  {
+    name: 's01_staticMenuDotPrompt',
+    model: geminiPro,
+    input: { schema: MenuQuestionInputSchema },
+    output: { format: 'text' },
+  },
+  `
+You are acting as a helpful AI assistant named "Walt" that can answer 
+questions about the food available on the menu at Walt's Burgers. 
+Here is today's menu:
+
+- The Regular Burger $12
+  The classic charbroiled to perfection with your choice of cheese
+
+- The Fancy Burger $13
+  Classic burger topped with bacon & Blue Cheese
+
+- The Bacon Burger $13
+  Bacon cheeseburger with your choice of cheese.
+
+- Everything Burger $14
+  Heinz 57 sauce, American cheese, bacon, fried egg & crispy onion bits
+
+- Chicken Breast Sandwich $12
+  Tender juicy chicken breast on a brioche roll.
+  Grilled, blackened, or fried
+
+Our fresh 1/2 lb. beef patties are made using choice cut
+brisket, short rib & sirloin. Served on a toasted
+brioche roll with chips. Served with lettuce, tomato & pickles. 
+Onions upon request. Substitute veggie patty $2
+
+Answer this customer's question, in a concise and helpful manner,
+as long as it is about food.
+
+Question:
+{{question}} ?
+`
+);

samples/js-menu/src/02/example.json

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+{
+  "question": "I'd like to try something spicy. What do you recommend?"
+}

samples/js-menu/src/02/flows.ts

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+/**
+ * Copyright 2024 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+import { defineFlow } from '@genkit-ai/flow';
+import { AnswerOutputSchema, MenuQuestionInputSchema } from '../types';
+import { s02_dataMenuPrompt } from './prompts';
+
+// Define a flow which generates a response from the prompt.
+
+export const s02_menuQuestionFlow = defineFlow(
+  {
+    name: 's02_menuQuestion',
+    inputSchema: MenuQuestionInputSchema,
+    outputSchema: AnswerOutputSchema,
+  },
+  async (input) => {
+    return s02_dataMenuPrompt
+      .generate({
+        input: { question: input.question },
+      })
+      .then((response) => {
+        return { answer: response.text() };
+      });
+  }
+);