Audio Q&A

import os

from perceptron import Client, audio

client = Client(
    provider="perceptron",
    api_key=os.environ["PERCEPTRON_API_KEY"],
)
messages = [{
    "role": "user",
    "content": [
        audio("delivery-discussion.wav"),
        {"type": "text", "text": (
            "What reason is stated for the delivery delay? What new date, if any, "
            "do the speakers agree on? Distinguish an agreed date from a suggestion. "
            "Answer using only the recording. If the reason or date is not stated "
            "or cannot be heard clearly, say so."
        )},
    ],
}]
response = client.chat.completions.create(
    model="perceptron-mk1.5",
    messages=messages,
    reasoning_effort="none",
    max_completion_tokens=1024,
)
choice = response.choices[0]
if choice.finish_reason != "stop" or choice.message.tool_calls:
    raise RuntimeError(f"Expected a completed audio answer, got: {choice.finish_reason}")
answer = choice.message.content or ""
print(answer)

messages.extend([
    choice.message.to_dict(),
    {"role": "user", "content": (
        "Recheck the recording and quote the short phrases that support your "
        "answer about the reason and date. Mark unclear words as [unclear]. "
        "If your earlier answer is not supported, correct it."
    )},
])
follow_up = client.chat.completions.create(
    model="perceptron-mk1.5",
    messages=messages,
    reasoning_effort="none",
    max_completion_tokens=1024,
)
choice = follow_up.choices[0]
if choice.finish_reason != "stop" or choice.message.tool_calls:
    raise RuntimeError(f"Expected a completed follow-up, got: {choice.finish_reason}")
print(choice.message.content or "")