Working paper / 2026
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.
Clone the repository, pair a model harness with an industry task suite, and reproduce the evaluation environment.
Healthcare / C1-M1
What this task measures
The caller is on the line with Straus Dermatology for one locked request: New-patient rash visit at Park Avenue. They keep repeating that ask through a waitlist offer, a callback, or a different errand. We included it as a medium new patient access case because first-contact dermatology work is scored on holding a narrow office question through booking offers, waitlists, and extra yeses. The agent succeeds only if it stays on that request, reaches the outcome by taking the scheduling path, and leaves the record exactly as this case requires: the right row written or cleared, and nothing extra.
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 $0.733
0:00 / 8:13 · audio · trace 801741 · click a span to play, drag to scrub, scroll to pan
Audio
Speech Audio
Agent Audio
Handoffs
Tool Calls
Errors
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.
Combined
Fail
This sample fails because tools and final database state did not match. Combined cannot pass unless every gate does.
Expected versus actual tool calls on this conversation.
Expected
Actual
Parameters
+ from: reception
+ to: scheduling
Output
None recorded.
None recorded.
Parameters
is_new_patient: true
is_new_patient: true
urgency: routine
urgency: routine
visit_class: medical
visit_class: medical
Output
+ ok: true
Parameters
- location_ids: ["loc_park_ave"]
Output
None recorded.
None recorded.
Parameters
- appointment_type_code: NP_MED
- end: 2026-08-24T09:30
- location_id: loc_park_ave
- provider_id: prov_chen
- slot_id: slot_loc_park_ave_1
- start: 2026-08-24T09:00
Output
- data: {"status":"booked"}- ok: true
Parameters
- mobile_e164: +12125550194
- template_id: appointment_confirmation
Output
- data: {"sent":true}- ok: true
Parameters
+ location_id: loc_park_ave
Output
+ ok: true
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: find_slots, book_appointment, send_sms. Extra: list_locations, end_call.
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_scheduling
Actual path
transfer_to_scheduling
Rows that differ between the expected hangup and the actual hangup.
missing · appointments · 4
Expected
Actual
- appointment_type_code: NP_MED
- description: new patient visit
- end: 2026-08-24T09:30
- id: 4
- location_id: loc_park_ave
- patient_id: empty
- provider_id: prov_chen
- start: 2026-08-24T09:00
- status: booked
Locked caller script. This is the technical definition. Copy it as written.
You are a new patient and you have an itchy rash on your forearm. You want a new-patient visit at Park Avenue — that office only. Answer their questions about who you are and how to reach you once, then proceed to booking. Take the first appointment time they offer. Do not ask for a different day, time, or office, and do not suggest any date of your own. Confirm that first time out loud. After they confirm a time is on the calendar, ask them to text you an appointment confirmation. That is the only text you want. Do not ask to add or change insurance. Do not ask for a callback, to speak to a person, a bill, a payment, the patient portal, a waitlist, financing, or the street, floor, or suite. A listed opening is not a booking. Do not thank them, say goodbye, or hang up until they confirm a time is on the calendar and that the appointment confirmation was texted. If they only list openings, say book the first one. If they confirm the booking but have not texted the confirmation, ask them to text you the appointment confirmation.