Add function sample for server-side Remote Config + Vertex AI Gemini API

Node/remote-config-server-with-vertex/README.md

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+# Use server-side Remote Config with Cloud Functions and Vertex AI
+
+This Cloud Function (`generateWithVertex`) demonstrates how to generate text
+using Google's Vertex AI Gemini API. It uses
+the Firebase Admin SDK for Node.js and Remote Config to manage model parameters,
+safety settings, and feature flags.
+
+## Setting up the sample
+
+Follow the [User server-side Remote Config with Cloud Functions and Vertex AI
+guide](https://firebase.google.com/docs/remote-config/solution-server) to:
+
+* Set up your Firebase project.
+* Enable required APIs and SDKs.
+* Configure IAM permissions.
+* Test your function in the Firebase emulator.
+* Deploy your function.
+
+Important:  Vertex AI and Cloud Functions require a billing account. Review
+[Vertex AI pricing](https://cloud.google.com/vertex-ai/pricing) and
+[Cloud Functions pricing](https://firebase.google.com/pricing) before running
+this function. If you're new to Firebase and Google Cloud, check to see if
+you're eligible for a
+[$300 credit](https://firebase.google.com/support/faq#pricing-free-trial) and
+a Free Trial Cloud Billing account.
+
+## Next steps
+
+Learn more about Remote Config server implementations at
+[Use Remote Config in server
+environments](https://firebase.google.com/docs/remote-config/server).

Node/remote-config-server-with-vertex/firebase.json

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+{
+  "functions": {
+    "codebase": "remote-config-server-with-vertex"
+  }
+}

Node/remote-config-server-with-vertex/functions/index.js

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+// [START remote_config_server_vertex_init]
+const { onRequest } = require("firebase-functions/v2/https");
+const logger = require("firebase-functions/logger");
+
+const { initializeApp } = require("firebase-admin/app");
+const { VertexAI } = require('@google-cloud/vertexai');
+const { getRemoteConfig } = require("firebase-admin/remote-config");
+
+// Set and check environment variables.
+const project = process.env.GCLOUD_PROJECT;
+
+// Initialize Firebase.
+const app = initializeApp();
+// [END remote_config_server_vertex_init]
+
+// [START remote_config_server_vertex_default_values]
+// Define default (fallback) parameter values for Remote Config.
+const defaultConfig = {
+
+  // Default values for Vertex AI.
+  model_name: "gemini-1.5-flash-preview-0514",
+  generation_config: [{
+    "stopSequences": [], "temperature": 0.7,
+    "maxOutputTokens": 64, "topP": 0.1, "topK": 20
+  }],
+  prompt: "I'm a developer who wants to learn about Firebase and you are a \
+    helpful assistant who knows everything there is to know about Firebase!",
+  safety_settings: [{
+    "category":
+      "HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT",
+    "threshold": "HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE"
+  }],
+  location: 'us-central1',
+
+  // Disable Vertex AI Gemini API access for testing.
+  vertex_enabled: false
+};
+// [END remote_config_server_vertex_default_values]
+
+// [START remote_config_server_vertex_create_function]
+// Export the function.
+exports.generateWithVertex = onRequest(async (request, response) => {
+
+  try {
+
+    // Set up Remote Config.
+    const rc = getRemoteConfig(app);
+
+    // Get the Remote Config template and assign default values.
+    const template = await rc.getServerTemplate({
+      defaultConfig: defaultConfig
+    });
+
+    // Add the template evaluation to a constant.
+    const config = template.evaluate();
+
+    // Obtain values from Remote Config.
+    const textModel = config.getString("model_name") ||
+        defaultConfig.model_name;
+    const textPrompt = config.getString("prompt") || defaultConfig.prompt;
+    const generationConfig = config.getString("generation_config") ||
+        defaultConfig.generation_config;
+    const safetySettings = config.getString("safety_settings") ||
+        defaultConfig.safety_settings;
+    const location = config.getString("location") ||
+        defaultConfig.location;
+    const vertexEnabled = config.getBoolean("is_vertex_enabled") ||
+        defaultConfig.vertex_enabled;
+// [END remote_config_server_vertex_create_function]
+
+// [START remote_config_server_vertex_function_logic]
+  // Allow user input.
+  const userInput = request.query.prompt || '';
+
+  // Instantiate Vertex AI.
+    const vertex_ai = new VertexAI({ project: project, location: location });
+    const generativeModel = vertex_ai.getGenerativeModel({
+      model: textModel,
+      safety_settings: safetySettings,
+      generation_config: generationConfig,
+    });
+
+    // Create the chat; append user input to Remote Config-defined prompt.
+    const chat = generativeModel.startChat();
+    const chatInput = textPrompt + " " + userInput;
+
+    if (!chatInput) {
+      return res.status(400).send('Missing text prompt');
+    }
+    // If vertexEnabled isn't true, do not send queries to Vertex AI.
+    if (vertexEnabled !== true) {
+      response.status(200).send({
+        message: "Vertex AI call skipped. Vertex is not enabled."
+      });
+      return;
+    }
+
+    console.log("\nRunning with model ", textModel, ", prompt: ", textPrompt,
+      ", generationConfig: ", generationConfig, ", safetySettings: ",
+      safetySettings, " in ", location, "\n");
+
+    const result = await chat.sendMessageStream(chatInput);
+    response.writeHead(200, { 'Content-Type': 'text/plain' });
+
+    for await (const item of result.stream) {
+      const chunk = item.candidates[0].content.parts[0].text;
+      console.log("Received chunk:", chunk);
+      response.write(chunk);
+    }
+
+    response.end();
+
+  } catch (error) {
+    console.error(error);
+    response.status(500).send('Internal server error');
+  }
+});
+// [END remote_config_server_vertex_function_logic]
+

Node/remote-config-server-with-vertex/functions/package.json

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+{
+  "name": "functions",
+  "description": "Cloud Functions for Firebase",
+  "scripts": {
+    "serve": "firebase emulators:start --only functions",
+    "shell": "firebase functions:shell",
+    "start": "npm run shell",
+    "deploy": "firebase deploy --only functions",
+    "logs": "firebase functions:log"
+  },
+  "engines": {
+    "node": "18"
+  },
+  "main": "index.js",
+  "dependencies": {
+    "@google-cloud/vertexai": "^1.1.0",
+    "firebase-admin": "^12.1.0",
+    "firebase-functions": "^4.3.0"
+  },
+  "devDependencies": {
+    "firebase-functions-test": "^3.1.0"
+  },
+  "private": true
+}