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benchmark-agents

Benchmark AI agents on Vercel with Workflow DevKit and AI Gateway.

246|42|Updated Mar 4, 2026
Search Tags:#testing#ai#orchestration#vercel#benchmark#dev-toolkit
One-click install
npx skills add https://github.com/vercel-labs/vercel-plugin --skill benchmark-agents
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: benchmark-agents
Source: https://github.com/vercel-labs/vercel-plugin/tree/main/.claude/skills/benchmark-agents
Command: npx skills add https://github.com/vercel-labs/vercel-plugin --skill benchmark-agents

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a rigorous testing framework to ensure Vercel's advanced AI platform features, like the Workflow DevKit and AI Gateway, function correctly under demanding conditions.

Core Features & Use Cases

  • End-to-End Evaluation: Covers the full cycle from setup to release, verifying skill injection and platform capabilities.
  • Complex Scenario Testing: Designed to stress-test multi-agent orchestration and complex system integrations.
  • Use Case: Developers can use this Skill to validate that new AI SDK features are correctly integrated and perform as expected within complex, multi-system Vercel projects before they are released.

Quick Start

Launch a new benchmark evaluation session for the 'doc-qa-agent' scenario.

Frequently Asked Questions about benchmark-agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I stress-test multi-agent orchestration on the Vercel AI platform?▼

How can I benchmark Vercel AI Gateway performance for complex builds?

How can I benchmark Vercel AI Gateway performance for complex builds?▼

You can benchmark Vercel AI Gateway performance by running advanced agent evaluations that stress-test skill injection for complex builds. This ensures new SDK features are correctly integrated and perform as expected within multi-system projects before release.

What is the best way to validate skill injection in a multi-agent workflow?▼

Does this benchmarking tool support end-to-end evaluations for AI SDK features?

Does this benchmarking tool support end-to-end evaluations for AI SDK features?▼

Yes, this benchmarking tool supports end-to-end evaluations for AI SDK features. It facilitates the complete evaluation loop from initial setup through release, verifying that skill injection and complex system integrations perform as expected.

When do I need to run a benchmark evaluation session for AI agents?▼

You need to run a benchmark evaluation session for AI agents when validating new platform features within complex, multi-system Vercel projects. It ensures advanced features like the Workflow DevKit function correctly under demanding conditions before release.

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