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TemplatesAgent Patterns
Parallel Processing Pattern
Parallel Processing Pattern
Process content with multiple AI agents running simultaneously. Demonstrates concurrent analysis for faster results.
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Problems solved
Technical challenges this implementation handles out of the box.
- Run multiple generateText analyses concurrently with Promise.all
- Fan out content review across specialized perspectives
- Aggregate parallel agent results into one response
Use cases
Products and workflows this pattern is designed to support.
- Multi-perspective document review
- Business intelligence content analysis
- QA review that scores several dimensions at once
- Decision-support briefs from concurrent agents
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: OPENAI_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
OPENAI_API_KEYGet key
Capabilities
AI SDK APIs
generateTextProviders
OpenAI
Files added
7 filesapp/page.tsxapp/layout.tsxlib/actions.tscomponents/parallel-processing-demo.tsxlib/schema.tslib/rate-limit.tsREADME.md
Dependencies
9 totalnpm packages
6AISDKUpstashlucide-reactNext.jsReactZod
Registry components
buttoncardempty
Critical files
lib/actions.tsServer action implementing concurrent multi-perspective analysis. Runs 3 parallel generateText calls using Promise.all. Demonstrates the fan-out/fan-in pattern for parallel AI processing.
Requirements
- Complexity
- Intermediate
- Setup time
- ~10 minutes
- Node
- 24+
- Memory
- 512MB
