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Simulations let you check how an assistant behaves before a real caller does. Define a caller persona and a goal, and an LLM plays that caller against your assistant — either a fast text conversation or a real voice call — while a second LLM judges the result against the criteria you set.

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Where to find it

Open an assistant, select the Test button in the header, and choose Simulations. The panel opens next to the editor, so you can adjust the prompt and rerun a test without leaving the page.

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Creating a test

Select New test and step through:
1

Start

Begin blank, or apply a persona Milian suggested — see Generate with Milian below.
2

Details

Name the test and write the caller’s persona (identity and personality) in plain text.
3

Goal

Describe what the caller is trying to accomplish, for example: “Your primary objective is to book a consultation for next week.”
4

Judge

Choose Chat or Voice mode, add the success criteria the judge should check, optionally list tools the assistant is expected to call, and set the maximum number of caller turns (up to 20, default 12).
Select Generate with Milian instead of starting from a blank test. Milian proposes a batch of ready-made personas and success criteria for the assistant — review them and create the ones you want with one click.

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Chat vs. voice

  • Chat — a fast, text-only conversation between the caller LLM and your assistant. No call is placed, and it’s the cheaper way to iterate on a prompt.
  • Voice — places a real call: a simulated caller with a synthesized voice talks to your assistant over the same path a live call takes, so the whole speech pipeline gets exercised. It takes longer than chat, costs more, and shows up in History like any other call; pick the caller’s voice when you switch to this mode.

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Creating a test from a real call

Open a finished call in History and select Create Simulation Test. Famulor writes a persona, goal, and default success criteria (accurate information, professional tone, proper resolution or routing) from that call’s transcript and analysis, saves them as a new test, and takes you to that assistant’s Simulations panel — review and edit it there before the first run. It’s the fastest way to turn a real conversation that went wrong into a regression test. See Post-call analysis.

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Running tests and reading results

Run one test at a time, or select Run all to work through every test in order. Each run reports:
  • a pass or fail per success criterion, with the judge’s reasoning;
  • the full transcript, labeled Caller / Assistant;
  • tool calls made during the run, checked against anything you marked as an expected tool;
  • for voice runs, a latency breakdown — end-to-end, time to first LLM token, time to first spoken audio, speech-recognition latency, and perceived response time — plus a View call link to the resulting call in History.
Simulations is text- or audio-based conversation testing, not a validator for your prompt’s wording alone — the caller LLM can improvise within the persona and goal you set, so a test result reflects how the conversation actually unfolds.

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Availability and cost

Simulations is a plan feature. If it isn’t included, the panel says Simulation testing is not in your plan — compare plans under Settings → Plan. Every workspace member can open the panel and read past runs; creating, editing, and running tests is limited to workspace owners and admins. Simulations cost extra credits: every message in the run’s transcript is charged at your workspace’s Call simulator message rate — both in chat and in voice mode. Your current rate is listed on the Usage page under the credit rates, and each run appears there as a Simulation run transaction. Famulor checks your balance before a run starts and only charges for the messages actually produced. A voice run additionally consumes normal voice time for the call itself, since it exercises the full speech pipeline.

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API & MCP