from pydantic import BaseModel, Field


class PresetConfig(BaseModel):
    """API预设配置"""

    name: str = Field(..., description="预设名称（唯一标识）")
    api_base: str = Field(..., description="API基础地址")
    api_key: str = Field(..., description="API密钥")
    model_name: str = Field(..., description="模型名称")
    max_tokens: int = Field(2048, description="最大响应token数")
    temperature: float = Field(0.7, description="生成温度（0-2]")
    proxy: str = Field("", description="HTTP代理服务器")
    support_mcp: bool = Field(False, description="是否支持MCP")
    support_image: bool = Field(False, description="是否支持图片输入")

class MCPServerConfig(BaseModel):
    """MCP服务器配置"""
    command: str | None = Field(None, description="stdio模式下MCP命令")
    args: list[str] | None = Field([], description="stdio模式下MCP命令参数")
    env: dict[str, str] | None = Field({}, description="stdio模式下MCP命令环境变量")
    url: str | None = Field(None, description="sse模式下MCP服务器地址")

    # 额外字段
    friendly_name: str | None = Field(None, description="MCP服务器友好名称")
    addtional_prompt: str | None = Field(None, description="额外提示词")

class ScopedConfig(BaseModel):
    """LLM Chat Plugin配置"""

    api_presets: list[PresetConfig] = Field(
        ..., description="API预设列表（至少配置1个预设）"
    )
    history_size: int = Field(20, description="LLM上下文消息保留数量")
    past_events_size: int = Field(10, description="触发回复时发送的群消息数量")
    request_timeout: int = Field(30, description="API请求超时时间（秒）")
    default_preset: str = Field("off", description="默认使用的预设名称")
    random_trigger_prob: float = Field(
        0.05, ge=0.0, le=1.0, description="随机触发概率（0-1]"
    )
    default_prompt: str = Field(
        "你的回答应该尽量简洁、幽默、可以使用一些语气词、颜文字。你应该拒绝回答任何政治相关的问题。",
        description="默认提示词",
    )
    mcp_servers: dict[str, MCPServerConfig] = Field({}, description="MCP服务器配置")


class Config(BaseModel):
    llmchat: ScopedConfig