Problems / AI products, medium

Travel agent: airline partner overloaded

A travel agent books flights through an airline’s agent over A2A, which handles 15 tasks at once.

Free to open. Runs in your browser, no sign-up.

Your goals

Success ≥ 95% of tasks, p99 ≤ 90 s.

5 requests a second for 45 seconds: 100% task (writes).

What each component does in this design, and what calls it. The simulator mimics each one from these settings.

Component	Its job here	Settings
Load balancerLoad balancer	Traffic enters here.Calls Agent API.Layer 4 balancers route by IP and port; layer 7 balancers read HTTP and can route by path or header.	–
Agent APIApp service	Load balancer forwards to it.Calls Agent orchestrator.Little's law: throughput ≈ concurrency ÷ latency. 200 slots at 50 ms serve about 4,000 req/s.	3 replicas × 500 slots · timeout 180 s
Agent orchestratorAgent orchestrator	Agent API calls it.Calls Model, Airline agent (A2A).An agent loops: think, call a tool, read the result, repeat until done.	400 slots · 2 steps
ModelLLM endpoint	Agent orchestrator calls it.Latency has two parts: time to the first token, then a steady stream of tokens per second.	300 streams
Airline agent (A2A)A2A agent endpoint	Agent orchestrator calls it.Agent-to-agent protocols let agents from different teams or vendors hand work to each other.	15 slots · 100,000 calls/min

Try it first. Open one hint at a time if you get stuck.

Hint 1

Delegated tasks in flight = rate × duration.

Hint 2

Find the red card first, then its capacity: slots ÷ seconds per request.

One way to solve it

Give the partner agent more capacity (or add a second airline).