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BlocksBasics
AI SDK Gemini Flash Text
AI SDK Gemini Flash Text
Generate text and analyze market research using Google's Gemini 2.5 Flash. Includes interactive charts and data visualization.
Use this when you want to set up Google's Gemini 2.5 Flash provider in the AI SDK for a fast, low-cost text chat or completion UI.
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Problems solved
Technical challenges this implementation handles out of the box.
- Generate streaming text with Gemini Flash through the AI SDK
- Demonstrate Google provider setup for text generation
- Ship a minimal Flash text chat or completion UI
Use cases
Products and workflows this pattern is designed to support.
- Low-latency text assistants
- Cost-sensitive chat prototypes
- Gemini Flash onboarding demos
- Streaming completion playgrounds
Compare with
Similar patterns, and when each one is the better fit.
Generate Image (Google Gemini)FreeUse this when you are on Google Gemini and need a starting point for prompt-to-image generation with results shown in a simple UI.
AI SDK Nano Banana ImageGenerate images using Gemini 3.1 Flash Lite Image with prompt optimization. Includes style adaptation and customizable parameters.
Gemini Structured OutputFreeUse this when your app runs on Gemini and you want typed JSON from a prompt via generateText with Output.object, delivered all at once.
Generate TextFreeUse this when you need a minimal API route that calls an AI Gateway model with generateText and returns one finished plain text response.
Setup
Requirements, wiring steps, and what this pattern adds to your project.
Getting started
Pick how you want to pull this pattern in. Then wire env vars and routes the same way.
- 1
Download → Next.js app
Use Download → Next.js app in the preview toolbar. You get a zip scaffold (Pro downloads rewrite preview `/view/.../api/*` paths to `/api/*` automatically).
- 2
Extract the zip and install dependencies
Unzip the archive, then run `pnpm install` (or npm / yarn) in the project folder.
- 3
Fill .env.local
The download includes .env.local placeholders when needed. Add real values for: GOOGLE_AI_API_KEY.
- 4
Customize the agent and tool files
Adapt prompts, tools, and stop conditions in the generated project for your product.
- 5
Run the app and open the pattern route
Run `pnpm dev`, open the setup/checklist page if present, then navigate to the generated pattern route and verify responses.
Environment variables
GOOGLE_AI_API_KEYGet key
Capabilities
AI SDK APIs
generateTextgenerateObjecttoolProviders
Gemini
External services
Upstash
Files added
6 files
app/page.tsxapp/layout.tsxcomponents/chart.tsxapp/actions.tsxlib/rate-limit.tsREADME.md
Dependencies
11 total
npm packages
8AISDKUpstashlucide-reactmotionNext.jsReactrechartsZod
Registry components
badgecardchart
Critical files
1 file
app/actions.tsxMulti-step AI research pipeline: first uses generateText with Gemini 2.5 Flash + Google Search tool, then uses generateObject to structure results into analysis, chartData, metrics, and sources.
Requirements
- Complexity
- Beginner
- Setup time
- ~20 minutes
- Node
- 24+
- Memory
- 512MB
Upstash Redis for rate limiting
