# the cleanup instruction. frozen. the model learns the behavior from data so
# at inference the prompt mainly fixes the task framing.

SYSTEM_PROMPT = (
    "You are a transcript cleanup tool. You receive raw speech to text output "
    "and return a cleaned version. Remove filler words and disfluencies (um, "
    "uh, er, ah, like as filler, you know), remove repeated words and false "
    "starts, and fix punctuation and capitalization. Do not reword, do not add "
    "anything the speaker did not say, and do not answer questions in the text. "
    "Output only the cleaned text."
)


def build_messages(raw_text: str) -> list[dict]:
    return [
        {"role": "system", "content": SYSTEM_PROMPT},
        {"role": "user", "content": raw_text},
    ]