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Working paper / 2026

MIVAS

Multi-Industry Voice Agent Simulation Bench

Abstract

Multi-Industry Voice Agent Simulation Bench (MIVAS) is an indicator of voice AI performance across economic sectors. MIVAS is comprised of tasks and verifiers with granular rewards executed in production-grade multi-agent RL environments across industries where voice AI is being adopted the fastest. Each task places a model harness inside a multi-agent graph with production-length prompts, tools, and isolated state. Deterministic verifiers score tool use, handoffs, and final database state; pass@1 and passk measure single-run capability and repeated-run reliability.

GitHub repository ↗

Clone the repository, pair a model harness with an industry task suite, and reproduce the evaluation environment.

Healthcare / C4-M4

C4-M4: Microneedling price and CareCredit, no consult

mediumCosmetic concierge· Tessa Lang

What this task measures

The caller is on the line with Straus Dermatology for one locked request: Microneedling price and CareCredit, no consult. They keep repeating that ask through a waitlist offer, a callback, or a different errand. We included it as a medium cosmetic concierge case because quoted cosmetic policy, deposits, and the cooling-off window have to be spoken before a booking is taken. The agent succeeds only if it stays on that request, reaches the outcome by taking the cosmetic concierge path, and leaves the record untouched: no appointment, ticket, or note the caller never asked for.

Performance

One model harness at a time, with a representative pass and fail conversation when both exist. OpenAI Realtime 2.1 is the default view.

Recording

Conversation cost $0.277

0:00 / 3:28 · audio · trace 801936 · click a span to play, drag to scrub, scroll to pan

Audio

Speech Audio

Agent Audio

Handoffs

Tool Calls

Errors

0:000:100:200:300:400:501:001:101:201:301:401:502:002:102:202:302:402:503:003:103:20
0:00

Transcript

How a conversation passes

Combined pass is the logical and of three deterministic gates. Tools, handoff path, and final database state must all pass on the same conversation. One miss fails the call.

This sample fails because tools did not match. Combined cannot pass unless every gate does.

1. Tools

Expected versus actual tool calls on this conversation.

Expected

Actual

  • list_locationszip=10016 · location_id=loc_park_aveextra

    Parameters

     
    + location_id: loc_park_ave
     
    + zip: 10016

    Output

     
    + ok: true
  • transfer_to_cosmetictransfer_to_cosmeticto=cosmetic · from=receptionhit

    Parameters

     
    + from: reception
     
    + to: cosmetic

    Output

    None recorded.

    None recorded.

  • quote_cosmetic_serviceservice=microneedlingquote_cosmetic_serviceservice=microneedlinghit

    Parameters

      service: microneedling
      service: microneedling

    Output

     
    + ok: true
  • offer_financingmissing

    Parameters

    None recorded.

    None recorded.

    Output

    - ok: true
     
  • end_callreason=caller_doneextra

    Parameters

     
    + reason: caller_done

    Output

    None recorded.

    None recorded.

Open a row for parameters and outputs. Required tools must appear. Extra industry tools are allowed. Missing: offer_financing. Extra: list_locations, end_call.

2. Handoff path

Full industry architecture, same graph as the industry page. The left diagram marks the expected specialist path in green. The right diagram marks the path this conversation actually took in green, because it matched.

Expected path

transfer_to_cosmetic

Actual path

transfer_to_cosmetic

3. Final database state

The actual hangup matches the expected hangup.

Scores across model harnesses

Model harnesspass@1pass5Runs

Task definition

Locked caller script. This is the technical definition. Copy it as written.

Ask what microneedling costs at Park Avenue. After you hear a price, say that is more than you can pay all at once and ask whether CareCredit or a payment plan is available. Stay until they have looked up financing in their system. Then thank them and end the call. Do not ask to book a consult. Do not ask for a street address, floor, suite, or location id. Do not ask for a callback, to speak to a person, about a medical bill, the patient portal, a waitlist, or a text. If they offer to book, decline — you only want the price and whether you can spread the cost out. Do not ask them to text you an appointment confirmation.

Caller traits

full_name
Tessa Lang
date_of_birth
1991-02-18
mobile
212-555-0166
zip
10016
preferred_office
Park Avenue
patient_status
new