"""大语言模型工厂：支持 OpenAI 兼容的云端 API、Anthropic 兼容 API 和本地 Ollama。"""

import os
from dotenv import load_dotenv

load_dotenv()


def get_llm():
    backend = os.getenv("LLM_BACKEND", "cloud")
    if backend == "local":
        from langchain_ollama import ChatOllama

        model = os.getenv("LOCAL_LLM_MODEL", "qwen2.5-coder:7b")
        return ChatOllama(model=model, temperature=0.1)

    provider = os.getenv("LLM_PROVIDER", "openai")
    if provider == "anthropic":
        from langchain_anthropic import ChatAnthropic

        return ChatAnthropic(
            model=os.getenv("LLM_MODEL", "claude-sonnet-4-6"),
            api_key=os.getenv("OPENAI_API_KEY"),
            base_url=os.getenv("OPENAI_BASE_URL", "https://api.anthropic.com"),
            temperature=0.1,
        )
    else:
        from langchain_openai import ChatOpenAI

        return ChatOpenAI(
            model=os.getenv("LLM_MODEL", "gpt-4o"),
            api_key=os.getenv("OPENAI_API_KEY"),
            base_url=os.getenv("OPENAI_BASE_URL", "https://api.openai.com/v1"),
            temperature=0.1,
        )


def get_llm_for_correction():
    return get_llm()