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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.
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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
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 filesapp/page.tsxapp/layout.tsxcomponents/chart.tsxapp/actions.tsxlib/rate-limit.tsREADME.md
Dependencies
11 totalnpm packages
8AISDKUpstashlucide-reactmotionNext.jsReactrechartsZod
Registry components
badgecardchart
Critical files
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
