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PatternsAgent 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
Install from the preview toolbar
Copy the install command above and run it in your project — Pro patterns include a short-lived token.
- 2
Add environment variables to .env.local
OPENAI_API_KEY
- 3
Customize the agent and tool files
Adapt prompts, tools, and stop conditions for your product — Copy for AI in the toolbar helps seed that work.
- 4
Run your dev server and open the pattern route
Install dependencies if needed, then start the app 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
