"""Get the LLM client."""
from enum import Enum
from cognee.infrastructure.llm import get_llm_config

# Define an Enum for LLM Providers
class LLMProvider(Enum):
    OPENAI = "openai"
    OLLAMA = "ollama"
    ANTHROPIC = "anthropic"
    CUSTOM = "custom"

def get_llm_client():
    """Get the LLM client based on the configuration using Enums."""
    llm_config = get_llm_config()

    provider = LLMProvider(llm_config.llm_provider)

    if provider == LLMProvider.OPENAI:
        if llm_config.llm_api_key is None:
            raise ValueError("LLM API key is not set.")

        from .openai.adapter import OpenAIAdapter

        return OpenAIAdapter(
            api_key = llm_config.llm_api_key,
            endpoint = llm_config.llm_endpoint,
            api_version = llm_config.llm_api_version,
            model = llm_config.llm_model,
            transcription_model = llm_config.transcription_model,
            streaming = llm_config.llm_streaming,
        )

    elif provider == LLMProvider.OLLAMA:
        if llm_config.llm_api_key is None:
            raise ValueError("LLM API key is not set.")

        from .generic_llm_api.adapter import GenericAPIAdapter
        return GenericAPIAdapter(llm_config.llm_endpoint, llm_config.llm_api_key, llm_config.llm_model, "Ollama")

    elif provider == LLMProvider.ANTHROPIC:
        from .anthropic.adapter import AnthropicAdapter
        return AnthropicAdapter(llm_config.llm_model)

    elif provider == LLMProvider.CUSTOM:
        if llm_config.llm_api_key is None:
            raise ValueError("LLM API key is not set.")

        from .generic_llm_api.adapter import GenericAPIAdapter
        return GenericAPIAdapter(llm_config.llm_endpoint, llm_config.llm_api_key, llm_config.llm_model, "Custom")

    else:
        raise ValueError(f"Unsupported LLM provider: {provider}")