Updated: GAS Library - UtlApp
UtlApp was updated to v1.0.3.
-
v1.0.3 (February 5, 2024)
- Methods of addQueryParameters was updated.
You can see the detail information here https://github.com/tanaikech/UtlApp
v1.0.3 (February 5, 2024)
You can see the detail information here https://github.com/tanaikech/UtlApp
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.
v1.2.2 (January 30, 2024)
ExcelApp. When the inserted image had no data, an error occurred. This issue was removed.You can see the detail information here https://github.com/tanaikech/DocsServiceApp
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.
This report explores using the Gemini Pro API with Google Apps Script to achieve flexible data categorization.
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.
v1.0.2 (January 25, 2024)
You can see the detail information here https://github.com/tanaikech/UtlApp
Gemini API unlocks semantic search for Google Apps Script, boosting its power beyond automation. This report explores the result of attempting the semantic search using Gemini Pro API with Google Apps Script.
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 a result for attempting the semantic search using Gemini Pro API with Google Apps Script.
Google Apps Script automates tasks (even offline) and builds web apps using spreadsheets as databases. This report presents a basic dining reservation system to illustrate key aspects of web app development with Apps Script, HTML, and Javascript.
Google Apps Script is one of the powerful automation tools for achieving the automation process. When Google Apps Script can be used for the situation, even when users are away from their computers, automation can continue thanks to cloud computing. Also, Google Apps Script can manage Google Spreadsheet with Google Spreadsheet service and quickly deploy Web Apps with HTML and Javascript with minimal coding. Ref1 Ref2 When Google Spreadsheet is used as a database and the Web Apps are used as the user interface, various web applications can be created. In this report, in order to help understand the key aspects of building web applications with Google Apps Script, I would like to introduce a simple web application. Here, as a sample, the dining reservation system created by Google Apps Script, HTML, and Javascript is implemented as a web application.
Google Apps Script is one of the strong tools with cloud computing, and it is very useful for various situations. Google Apps Script can be run by various methods. This report introduces how to execute Google Apps Script.
Recently, generative AI has given a lot of new users a chance to use Google Apps Script. If this report helps the users develop applications using Google Apps Script, I’m glad.
Published: January 6, 2024
Kanshi Tanaike
At Stackoverflow, a lot of people post questions and answers to the questions every day. There are various tags in Stackoverflow. A lot of discussions are performed at each tag. Their discussions bring important information and are very useful for a lot of people. As one of the tags, there is “google-apps-script”. I sometimes discuss the questions with that tag. When we see the discussions, we notice that the discussions have changed and progressed over time, because “Google Apps Script” which is the origin of the tag is updated. This report thinks this change is the trend of the tag of “google-apps-script”. This trend includes the number of questions, questioners, answerers, and tags added to the tag of “google-apps-script”. The trend of the tag of “google-apps-script” is deeply related to the progression of Google Apps Script and the various applications for Google Apps Script.
Registered Application Name: Workspace & Gemini AI Orchestration Engine
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.
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.
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.
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).