from typing import List, Optional

def intent_detection(
    text: str,
    model: str,
    candidate_intents: Optional[List[str]] = None,
    custom_instructions: str = "",
    use_llm: bool = True
) -> str:
    if not text or not text.strip():
        return "Please enter input text."
    if use_llm:
        return _intent_detection_with_llm(text, model, candidate_intents, custom_instructions)
    else:
        return _intent_detection_with_traditional(text, model, candidate_intents)

from llms import LLM

def _intent_detection_with_llm(
    text: str,
    model: str,
    candidate_intents: Optional[List[str]],
    custom_instructions: str
) -> str:
    try:
        llm = LLM(model=model)
        if candidate_intents:
            prompt = (
                f"Classify the intent of the following text from this list: {', '.join(candidate_intents)}.\n"
                f"Return ONLY the best intent name.\n"
                + (f"{custom_instructions}\n" if custom_instructions else "")
                + f"Text: {text}\nIntent:"
            )
        else:
            prompt = (
                f"Detect the intent of the following text.\n"
                f"Return ONLY the intent name, do not explain.\n"
                + (f"{custom_instructions}\n" if custom_instructions else "")
                + f"Text: {text}\nIntent:"
            )
        result = llm.generate(prompt)
        return result.strip()
    except Exception as e:
        print(f"Error in LLM intent detection: {str(e)}")
        return "Oops! Something went wrong. Please try again later."


def _intent_detection_with_traditional(
    text: str,
    model: str,
    candidate_intents: Optional[List[str]]
) -> str:
    # TODO: Implement traditional model inference
    return "[Traditional model intent detection not implemented yet]"