Before you start working with OpenCode, you'll need to fulfill the following prerequisites regarding your current system and working environment: Python 3.11 or higher for the sample project A modern terminal emulator You also need an AI provider account. In this guide, you'll use Google AI Studio to get a free Gemini API key. The free Gemini tier lets you follow along without any additional costs. However, you can also use Anthropic, OpenAI, or GitHub Copilot if you already have subscriptions to those services.
I am really excited about this post as it's one of the most powerful changes I've seen to Google's Gemini APIs in quite some time. For a while now it's been really easy to perform searches against a document, or a group of documents. You would upload the file (or files), ask your questions, and that was all you needed.
Introduced August 26 and also identified as "Nano Banana," Gemini 2.5 Flash Image enables developers to maintain character for consistency, make targeted transformations using natural language, and use Gemini knowledge to generate and edit images. The model is available via the Gemini API and Google AI Studio for developers and Vertex AI for enterprise. To assist with building with Gemini 2.5 Flash Image, Google has made updates to Google AI Studio's build mode.
As a reminder, these typically fall into two categories: cbr - A RAR file of scanned images cbz - A zip file of scanned images This week I was wondering - given that GenAI tools are pretty good at understanding images - how well could a GenAI system take a set of images, in order, and understand the context of the story behind them. I decided to give it a shot and honestly, I'm pretty impressed by the results.