Import custom func demo from Next 24

ai/custom_func_vertex/Code.js

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+/**
+ * Passes a prompt and a data range to Gemini AI.
+ * 
+ * @param {range} range The range of cells.
+ * @param {string} prompt The text prompt as a string or single cell reference.
+ * @return The Gemini response.
+ * @customfunction
+ */
+function gemini(range,prompt) {
+  prompt = `For the table of data: ${range}, Answer the following: ${prompt}. Do not use formatting. Remove all markdown.`
+  return getAiSummary(prompt);
+}

ai/custom_func_vertex/README.md

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+# Google Sheets Custom Function with AI Studio
+
+## Project Description
+
+Google Sheets Custom Function to be used as a bound Apps Script project with a Google Sheets Spreadsheet.
+
+## Prerequisites
+
+* Google Cloud Project (aka Standard Cloud Project for Apps Script) with billing enabled
+
+## Set up your environment
+
+1. Create a Cloud Project
+   1. Enable the Vertex AI API
+   1. Create a Service Account and grant the role Service Account Token Creator Role
+   1. Create a private key with type JSON. This will download the JSON file for use in the next section.
+1. Open an Apps Script Project bound to a Google Sheets Spreadsheet
+   1. From Project Settings, change project to GCP project number of Cloud Project from step 1
+   1. Add a Script Property. Enter `model_id` as the property name and `gemini-pro` as the value. 
+   1. Add a Script Property. Enter `project_location` as the property name and `us-central-1` as the value. 
+   1. Add a Script Property. Enter `service_account_key` as the property name and paste the JSON key from the service account as the value. 
+1. Add OAuth2 v43 Apps Script Library using the ID `1B7FSrk5Zi6L1rSxxTDgDEUsPzlukDsi4KGuTMorsTQHhGBzBkMun4iDF`.
+1. Add the project code to Apps Script
+
+## Usage
+
+Insert a custom function in Google Sheets, passing a range and a prompt as parameters
+
+Example: 
+
+```
+=gemini(A1:A10,"Extract colors from the product description")
+```

ai/custom_func_vertex/aiVertex.js

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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
+
+    https://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.
+*/
+
+const VERTEX_AI_LOCATION = PropertiesService.getScriptProperties().getProperty('project_location');
+const MODEL_ID = PropertiesService.getScriptProperties().getProperty('model_id');
+const SERVICE_ACCOUNT_KEY = PropertiesService.getScriptProperties().getProperty('service_account_key');
+
+/**
+ * Packages prompt and necessary settings, then sends a request to
+ * Vertex API. Returns the response as an JSON object extracted from the
+ * Vertex API response object.
+ *
+ * @param prompt - String representing your prompt for Gemini AI.
+ */
+function getAiSummary(prompt) {
+
+  const request = {
+    "contents": [{
+      "role": "user",
+      "parts": [{
+        "text": prompt
+      }]
+    }],
+    "generationConfig": {
+      "temperature": 0.1,
+      "maxOutputTokens": 2048,
+    },
+    "safetySettings": [
+      {
+        "category": "HARM_CATEGORY_HARASSMENT",
+        "threshold": "BLOCK_NONE"
+      },
+      {
+        "category": "HARM_CATEGORY_HATE_SPEECH",
+        "threshold": "BLOCK_NONE"
+      },
+      {
+        "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+        "threshold": "BLOCK_NONE"
+      },
+      {
+        "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
+        "threshold": "BLOCK_NONE"
+      }
+    ]
+  };
+
+  const credentials = credentialsForVertexAI();
+
+  const fetchOptions = {
+    method: 'post',
+    headers: {
+      'Authorization': `Bearer ${credentials.accessToken}`
+    },
+    contentType: 'application/json',
+    muteHttpExceptions: true,
+    payload: JSON.stringify(request)
+  }
+
+  const url = `https://${VERTEX_AI_LOCATION}-aiplatform.googleapis.com/v1/projects/${credentials.projectId}/`
+  + `locations/${VERTEX_AI_LOCATION}/publishers/google/models/${MODEL_ID}:generateContent`
+
+  const response = UrlFetchApp.fetch(url, fetchOptions);
+
+  const payload = JSON.parse(response);
+  const text = payload.candidates[0].content.parts[0].text
+
+  return text
+}
+
+/**
+ * Gets credentials required to call Vertex API using a Service Account.
+ * Requires use of Service Account Key stored with project
+ * 
+ * @return {!Object} Containing the Cloud Project Id and the access token.
+ */
+function credentialsForVertexAI() {
+  const credentials = SERVICE_ACCOUNT_KEY;
+  if (!credentials) {
+    throw new Error("service_account_key script property must be set.");
+  }
+
+  const parsedCredentials = JSON.parse(credentials);
+
+  const service = OAuth2.createService("Vertex")
+    .setTokenUrl('https://oauth2.googleapis.com/token')
+    .setPrivateKey(parsedCredentials['private_key'])
+    .setIssuer(parsedCredentials['client_email'])
+    .setPropertyStore(PropertiesService.getScriptProperties())
+    .setScope("https://www.googleapis.com/auth/cloud-platform");
+  return {
+    projectId: parsedCredentials['project_id'],
+    accessToken: service.getAccessToken(),
+  }
+}

ai/custom_func_vertex/appsscript.json

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+{
+  "timeZone": "America/Los_Angeles",
+  "dependencies": {
+    "libraries": [{
+      "userSymbol": "OAuth2",
+      "libraryId": "1B7FSrk5Zi6L1rSxxTDgDEUsPzlukDsi4KGuTMorsTQHhGBzBkMun4iDF",
+      "version": "43"
+    }]
+  },
+  "exceptionLogging": "STACKDRIVER",
+  "runtimeVersion": "V8"
+}