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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 / C2-E3

C2-E3: Appointment confirmation texts

easyAppointment management· Helen Cho

What this task measures

The caller is on the line with Straus Dermatology for one locked request: Appointment confirmation texts. They keep repeating that ask through a waitlist offer, a callback, or a different errand. We included it as an easy appointment management case because calendar writes are a core front-desk job, and they fail in characteristic ways: the wrong visit moves, identity is skipped, or a cancel becomes a reschedule. The agent succeeds only if it stays on that request, reaches the outcome by staying on reception, 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 $0.040

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Audio

Speech Audio

Agent Audio

Tool Calls

Errors

0:000:100:200:300:400:501:00
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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.

All three gates matched, so the conversation counts as a pass.

1. Tools

Expected versus actual tool calls on this conversation.

Expected

Actual

  • 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. Extra: 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

stay on reception

Actual path

stay on reception

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 when they send appointment confirmation texts, how many days before the visit they start. You are not booking, moving, or cancelling anything, and you do not want a text sent to you on this call. Once you have the rule, thank them and end the call. Do not ask to book, reschedule, or cancel. Do not ask to add insurance, for a callback, to speak to a person, a bill, a payment, the patient portal, a waitlist, financing, or the street, floor, or suite. If they offer to text you now, decline. Do not ask them to text you an appointment confirmation.

Caller traits

full_name
Helen Cho