exa-load-scale

name	exa-load-scale
description	Implement Exa load testing, capacity planning, and scaling strategies. Use when running performance tests, planning capacity for Exa integrations, or designing high-throughput search architectures. Trigger with phrases like "exa load test", "exa scale", "exa capacity", "exa k6", "exa benchmark", "exa throughput".
allowed-tools	Read, Write, Edit, Bash(k6:*), Bash(node:*)
version	1.11.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","exa","testing","performance","scaling"]
compatibility	Designed for Claude Code

Exa Load & Scale

Overview

Load testing and capacity planning for Exa integrations. Key constraint: Exa's default rate limit is 10 QPS. Scaling strategies focus on caching, request queuing, parallel processing within rate limits, and search type selection for latency budgets.

Prerequisites

• k6 load testing tool installed
• Test environment Exa API key (separate from production)
• Redis for result caching

Capacity Reference

Search Type	Typical Latency	Max Throughput (10 QPS)
instant	< 150ms	10 req/s (600/min)
fast	< 425ms	10 req/s (600/min)
auto	300-1500ms	10 req/s (600/min)
neural	500-2000ms	10 req/s (600/min)
deep	2-5s	10 req/s (600/min)

With caching (50% hit rate): Effective throughput doubles to 20 req/s equivalent.

Instructions

Step 1: k6 Load Test Against Your Wrapper

// exa-load-test.js
import http from "k6/http";
import { check, sleep } from "k6";

export const options = {
  stages: [
    { duration: "1m", target: 5 },    // Ramp up to 5 VUs
    { duration: "3m", target: 5 },    // Steady state
    { duration: "1m", target: 10 },   
    { : , :  },   
    { : , :  },    
  ],
  : {
    : [],  
    : [],     
  },
};

 queries = [
  ,
  ,
  ,
  ,
  ,
];

   () {
   query = queries[.(.() * queries.)];

   response = http.(
    ,
    .({ query, :  }),
    {
      : { :  },
      : ,
    }
  );

  (response, {
    :  r. === ,
    :  .(r.).?. > ,
    :  r.. < ,
  });

  ( + .()); 
}