Applying Gemini Pro API to Flexible Templates using Google Apps Script

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Applying Gemini Pro API to Flexible Templates using Google Apps Script

Abstract

New “semantic search” features in Gemini API help find desired information within its corpora. While using these features with Google Apps Script was complex, a new library simplifies the process. This report proposes using this library with Gemini-generated content to automate template processes in Google Docs and Slides, creating a more flexible workflow.

Introduction

The semantic search opens up a new wind for finding the expected values. Recently, the APIs for managing corpora have been added to Gemini API. Ref When the corpora of Gemini API is used, the semantic search can be effectively achieved. Ref However, when the corpora are tried to be used with Google Apps Script, the script is complicated cumbersome. To address this challenge, I have created a library for managing the corpora using Google Apps Script. Ref With this library, managing corpora becomes effortless, requiring only straightforward scripts.

Convert Contact URL to Resource Name for People API using Google Apps Script

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Convert Contact URL to Resource Name for People API using Google Apps Script

This is a sample script for converting a contact URL of “person/c###” to a resource name “people/c###” for People API using Google Apps Script.

When you open each contact at Contacts with your browser, you can see the URL like https://contacts.google.com/person/c###################.

Here, you might have a situation where you are required to retrieve the resource name for People API from this URL. But, in the current stage, person/c################### cannot be directly used as the resource name people/c###################. In this report, I would like to introduce a sample script for converting from person/c################### to people/c###################.

Semantic Search using Corpus of Gemini API with Google Apps Script

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Semantic Search using Corpus of Gemini API with Google Apps Script

Description

In the current stage, v1beta of Gemini API can use the corpora. Ref When the corpora are used, the values can be searched with the semantic search. In the current stage, 5 corpora can be created in a single project. And, each corpus can have 10,000 documents and 1,000,000 chunks. In this report, I would like to introduce a method for achieving the semantic search using the corpora with Google Apps Script.

Flexible Labeling for Gmail using Gemini Pro API with Google Apps Script Part 2

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Flexible Labeling for Gmail using Gemini Pro API with Google Apps Script Part 2

Description

I have published “Flexible Labeling for Gmail using Gemini Pro API with Google Apps Script” on December 19, 2023. Today, I published “Categorization using Gemini Pro API with Google Apps Script”.

In this report, as part 2, I would like to introduce 2 sample scripts for flexible labeling for Gmail using the semantic search and the function calling of Gemini Pro API with Google Apps Script.

Categorization using Gemini Pro API with Google Apps Script

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Categorization using Gemini Pro API with Google Apps Script

Abstract

This report explores using the Gemini Pro API with Google Apps Script to achieve flexible data categorization.

Introduction

The recent release of the LLM model Gemini as an API on Vertex AI and Google AI Studio opens a world of possibilities. Ref and Ref I believe Gemini API significantly expands the potential of Google Apps Script and paves the way for diverse applications. In this report, I present the flexible categorization of data using Gemini Pro API with Google Apps Script.

Google OAuth Verification & Application Privacy Policy

Registered Application Name: Workspace & Gemini AI Orchestration Engine

Application Purpose & Core Functionality:

This web page serves as the official homepage and privacy compliance interface for the application "Workspace & Gemini AI Orchestration Engine". This specialized developer utility is designed to research, benchmark, and optimize advanced integrations between Google Workspace services, the Google Apps Script API, and Gemini AI models (via Google Vertex AI / Gemini API endpoints).

The application facilitates automated multi-agent scaffolding, programmatic script deployment, project resource management, and structural analysis of Google Apps Script projects. It allows developers and autonomous AI agents (operating via Model Context Protocol / MCP) to securely evaluate execution performance, implement high-performance batch requests, and test agent-to-agent (A2A) workflows within a controlled and structured environment.

Google User Data Policy Compliance Statements:

1. Data Access & Specific Usage

Our application explicitly requests access to specific Google user accounts through OAuth scopes required strictly for interacting with the Google Apps Script API and Google Workspace endpoints. This access is utilized solely to execute user-initiated or agent-orchestrated programmatic operations—such as creating, modifying, deploying, or benchmarking script projects and executing automated workflows. No background automated extraction occurs without explicit session initiation.

2. Data Storage & Zero-Retention Policy

Adhering to a strict Zero-Retention Model, this application does not store, log, or persist any personal data, OAuth tokens, script source codes, or Google account configurations on any external server, database, or persistent storage medium. All data processing and API responses are handled entirely in-memory or securely on the client side within the active session context, ensuring complete cryptographic transient isolation.

3. Data Sharing & Third-Party Non-Disclosure

We maintain absolute data privacy. No data accessed via Google OAuth scopes is shared, sold, rented, or transferred to third-party entities, advertising networks, or data brokers. All data transmissions are strictly point-to-point, encrypted in transit using industry-standard protocols, and limited entirely to the direct channel between the execution environment and Google's official API gateways.

For inquiries regarding this developer application, technical benchmarks, or verification compliance, please refer to the official documentation and repositories linked on this homepage (tanaikech.github.io).