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RecaptchaLLM
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import os
from adapter import *



HF_TOKEN = os.getenv("HUGGINGFACEHUB_API_TOKEN")
PRIVATE_DATASET_REPO = "Chris1/recaptcha_datasets"

PROMPT_TYPES = {
    "Binary per tile (yes/no)": 1,
    "Multiclass per tile (class name)": 2,
}

MODEL_PROVIDERS = [
    "Manual",
    BaseAdapter.OPENAI,
    BaseAdapter.ANTHROPIC, 
    BaseAdapter.GEMINI, 
    BaseAdapter.MISTRAL,   
    BaseAdapter.GROK,
]

MISTRAL_MODELS = ['mistral-medium-latest']

GROK_MODELS = [
    'grok-4-0709',
    'grok-4-fast-reasoning'
]

ANTHROPIC_MODELS = [
'claude-4-opus-20250514', 
'claude-opus-4-1-20250805',
'claude-opus-4-5-20251101',
'claude-sonnet-4-5-20250929',
'claude-haiku-4-5-20251001',
'claude-4-sonnet-20250514']

GEMINI_MODELS = [
'gemini-1.0-pro',
'gemini-1.5-pro',
'gemini-1.5-flash',
'gemini-1.5-pro-002',
'gemini-2.0-flash',
'gemini-2.0-flash-lite',
'gemini-2.5-flash',
'gemini-2.5-pro',
'gemini-3-pro-preview'
]

OPENAI_MODELS = [
'gpt-4o-2024-11-20',
'gpt-4o-mini-2024-07-18',
'gpt-4.5-preview-2025-02-27',
'gpt-4.1-2025-04-14',
'gpt-5.1',
'gpt-5-2025-08-07',
'gpt-5-mini-2025-08-07',
'gpt-5-nano-2025-08-07'
]


MODEL_PROVIDERS = {
    BaseAdapter.OPENAI : OPENAI_MODELS ,
    BaseAdapter.ANTHROPIC : ANTHROPIC_MODELS, 
    BaseAdapter.GEMINI : GEMINI_MODELS, 
    BaseAdapter.MISTRAL : MISTRAL_MODELS, 
    BaseAdapter.GROK : GROK_MODELS,
    #BaseAdapter.COHERE : [],
    #BaseAdapter.TOGETHER : []  
}

MODEL_ADAPTERS = {
    BaseAdapter.OPENAI : OPENAI_MODELS ,
    BaseAdapter.ANTHROPIC : ANTHROPIC_MODELS, 
    BaseAdapter.GEMINI : GEMINI_MODELS, 
    BaseAdapter.MISTRAL : MISTRAL_MODELS, 
    BaseAdapter.GROK : GROK_MODELS,
    #BaseAdapter.COHERE : [],
    #BaseAdapter.TOGETHER : []  
}




# -----------------------------
# Prompt Builders & Parsers
# -----------------------------

def build_prompt_3(category: str) -> str:
    return (
        "Select the images which are of the category '" + category + "' "
        "from left to right, top to bottom, indexed 1 to 9. "
        "Return only the valid numbers separated by spaces or commas."
    )


def build_prompt_1(category: str) -> str:
    return "Is the object in the image a '" + category + "'? Answer with yes or no only."


def build_prompt_2(categories: List[str]) -> str:
    cats = ", ".join(categories)
    return (
        "Predict the category of the provided image among the set of categories: "
        + cats + ". Return exactly and only the class name."
    )