"""
配置文件 - API Keys 和模型设置
"""
import os
from dotenv import load_dotenv

load_dotenv()

# API 配置
ANTHROPIC_API_KEY = os.getenv("ANTHROPIC_API_KEY", "")
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", "")
AIHUBMIX_API_KEY = os.getenv("AIHUBMIX_API_KEY", "sk-yd8Tik0nFW5emKYcBdFc433b7c8b4dC182848f76819bBe73")
DEEPSEEK_API_KEY = os.getenv("DEEPSEEK_API_KEY", "")
SILICONFLOW_API_KEY = os.getenv("SILICONFLOW_API_KEY", "")

# LLM Providers Configuration
LLM_PROVIDERS = {
    "AIHubMix": {
        "base_url": "https://aihubmix.com/v1",
        "api_key_var": "AIHUBMIX_API_KEY",
        "default_model": "gpt-4o"
    },
    "DeepSeek": {
        "base_url": "https://api.deepseek.com",
        "api_key_var": "DEEPSEEK_API_KEY",
        "default_model": "deepseek-chat"
    },
    "SiliconFlow": {
        "base_url": "https://api.siliconflow.cn/v1",
        "api_key_var": "SILICONFLOW_API_KEY",
        "default_model": "deepseek-ai/DeepSeek-V3" # SiliconFlow often uses full path
    },
    "OpenAI": {
        "base_url": "https://api.openai.com/v1",
        "api_key_var": "OPENAI_API_KEY",
        "default_model": "gpt-4o"
    },
    "Custom": {
        "base_url": "http://localhost:8000/v1",
        "api_key_var": "CUSTOM_API_KEY",
        "default_model": "local-model"
    }
}

# AIHubMix 配置 (Legacy, keeping for backward compatibility if needed, but main logic will use LLM_PROVIDERS)
AIHUBMIX_BASE_URL = "https://aihubmix.com/v1"

# 模型配置
DEFAULT_MODEL = "gpt-4o"  # AIHubMix 支持的模型
LLM_PROVIDER = "aihubmix"  # 默认使用 AIHubMix

# 支持的模型列表
AVAILABLE_MODELS = {
    # OpenAI
    "gpt-4o": "GPT-4o (OpenAI)",
    "gpt-4o-mini": "GPT-4o Mini (OpenAI)",
    "gpt-4-turbo": "GPT-4 Turbo (OpenAI)",
    
    # Anthropic
    "claude-3-5-sonnet-20241022": "Claude 3.5 Sonnet (Anthropic)",
    "claude-3-opus-20240229": "Claude 3 Opus (Anthropic)",
    "claude-3-haiku-20240307": "Claude 3 Haiku (Anthropic)",
    
    # Google
    "gemini-1.5-pro": "Gemini 1.5 Pro (Google)",
    "gemini-1.5-flash": "Gemini 1.5 Flash (Google)",
    "gemini-2.0-flash-exp": "Gemini 2.0 Flash Exp (Google)",
    
    # DeepSeek
    "deepseek-chat": "DeepSeek V3 (DeepSeek)",
    "deepseek-reasoner": "DeepSeek R1 (DeepSeek)",
    "deepseek-coder": "DeepSeek Coder (DeepSeek)",
    "deepseek-v2.5": "DeepSeek V2.5 (DeepSeek)",
    "deepseek-coder-v2": "DeepSeek Coder V2 (DeepSeek)",
    
    # Meta
    "llama-3.3-70b-instruct": "Llama 3.3 70B (Meta)",
    "llama-3.1-405b-instruct": "Llama 3.1 405B (Meta)",
    
    # Alibaba
    "qwen-2.5-72b-instruct": "Qwen 2.5 72B (Alibaba)",
    "qwen-plus": "Qwen Plus (Alibaba)",
    "qwen-turbo": "Qwen Turbo (Alibaba)",
    
    # Mistral
    "mistral-large-latest": "Mistral Large (Mistral)",
    
    # Perplexity
    "llama-3.1-sonar-huge-128k-online": "Sonar Huge Online (Perplexity)",
}

# 辩论配置
MAX_DEBATE_ROUNDS = 3  # 最大辩论轮数
MAX_AGENTS = 6  # 最大参与 Agent 数量

# 支持的输出语言
SUPPORTED_LANGUAGES = ["Chinese", "English", "Japanese", "Spanish", "French", "German"]

# 研究模式模型角色配置
RESEARCH_MODEL_ROLES = {
    "expert_a": {
        "name": "Expert A (Analyst)",
        "default_model": "gpt-4o",
        "description": "负责初步分析，提出核心观点和方案"
    },
    "expert_b": {
        "name": "Expert B (Critique)",
        "default_model": "gemini-1.5-pro", 
        "description": "负责批判性分析，指出潜在问题和漏洞"
    },
    "expert_c": {
        "name": "Expert C (Synthesizer)",
        "default_model": "claude-3-5-sonnet-20241022",
        "description": "负责综合各方观点，生成最终决策方案"
    }
}

# 决策类型
DECISION_TYPES = {
    "product": "产品方案",
    "business": "商业决策", 
    "tech": "技术选型",
    "personal": "个人规划"
}