AI is priced separately from minutes, on its own cards, per million tokens.
The five dimensions
On a realtime speech-to-speech call, audio output is usually the largest
single line. A price card that leaves it at zero understates every bill.
Who pays
Set per credential:
byo — the tenant’s own key. The provider bills them directly. FireTone
records the counts and no amount, because there is nothing for you to charge.rated — your key. Priced against the cards and added to their bill.
Matching
A price is matched on provider and model, with an empty model acting as a
wildcard for that provider. An exact model beats the wildcard; a newer effective
date beats an older one.
No match means no amount — recorded as unpriced, never as zero. A zero would
assert the tokens were free.
Approximate amounts
Where a provider does not itemise audio, the charge is flagged as approximate
and the audio is priced at the text rate. Google’s realtime API is the case this
exists for: it reports two counts and no split at all.
A virtual agent in a meeting
An agent sitting in a conference room as a default member holds one realtime
session for the whole meeting and is charged like any AI call: every minute
it listens is audio input, and every reply it produces is output — including
replies nobody heard because the room had not addressed it (the seat records
how many, as replies_unheard). The minutes at the end are one text
completion by the agent’s own provider on the organisation’s key for it,
recorded as a charge of kind minutes against the session at the text
model’s price on the same billing mode. It appears in the charges, not yet
on the AI report, which reads conversations.