v1.0.2 (May 7, 2024)
parts was added. From this version, you can select one of q, jsonSchema, and parts.systemInstruction can be used.toolConfig was added to the request body.You can see the detail information here https://github.com/tanaikech/GeminiWithFiles
v1.0.6 (May 4, 2024)
You can see the detail information here https://github.com/tanaikech/UtlApp
This script demonstrates how to insert an animated GIF over cells in a Google Sheet using Google Apps Script.
I recently received a request to create a Google Apps Script for inserting animated GIFs into cells on a Google Sheet. I previously published a sample script on my blog on June 6, 2017. Ref In that script, the animation GIF was inserted using a public link. This new script leverages data URLs, which simplifies the process for using GIFs stored in Google Drive. Since this approach might be helpful to others, I’m sharing it here.
v1.0.1 (May 2, 2024)
response_mime_type got to be able to be used for controlling the output format. RefYou can see the detail information here https://github.com/tanaikech/GeminiWithFiles
This report explores controlling output formats for the Gemini API. Traditionally, prompts dictated the format. A new property, “response_mime_type”, allows specifying the format (e.g., JSON) directly. Testing confirms this property improves control over output format, especially for complex JSON schemas. The recommended approach is to combine a detailed JSON schema with “response_mime_type” for clear and consistent outputs.
This is a Google Apps Script library for Gemini API with files.
A new Google Apps Script library called GeminiWithFiles simplifies using Gemini, a large language model, to process unstructured data like images and PDFs. GeminiWithFiles can upload files, generate content, and create descriptions from multiple images at once. This significantly reduces workload and expands possibilities for using Gemini.
Recently, Gemini, a large language model from Google AI, has brought new possibilities to various tasks by enabling the use of unstructured data as structured data. This is particularly significant because a vast amount of information exists in unstructured formats like text documents, images, and videos.
A new Google Apps Script library, “GeminiWithFiles”, simplifies using the powerful Gemini 1.5 AI model. It lets users directly upload files for content generation or create descriptions for many images at once, making it much faster than prior methods. This is helpful for tasks involving large amounts of text or images.
Recently, Gemini, a family of Google’s most capable AI models, has revolutionized various tasks by allowing unstructured data to be used as structured data. This breakthrough is particularly impactful for tasks involving large amounts of text or images.
v1.0.1 (April 22, 2024)
setTextStyle is used after setLinkUrl, the style of the hyperlink is removed while the link is kept. So, it is required to set setLinkUrl after setTextStyle.You can see the detail information here https://github.com/tanaikech/RichTextAssistant
v1.0.5 (April 16, 2024)
You can see the detail information here https://github.com/tanaikech/UtlApp
Consolidate scattered cell references (A1Notation) in Google Sheets for efficiency. This script helps select cells by background color or update values/formats, overcoming limitations of large range lists.
When working with Google Spreadsheets, there might be a scenario where you need to process scattered A1Notations (cell addresses in the format “A1”). This could involve selecting cells with specific background colors, updating cell values, or modifying cell formats.
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).