from datetime import datetime from typing import Literal from pydantic import BaseModel, ConfigDict, Field from pydantic.alias_generators import to_camel class AiChatRequestModel(BaseModel): """ AI对话请求模型 """ model_config = ConfigDict(alias_generator=to_camel) session_id: str | None = Field(default=None, description='会话ID') model_id: int = Field(description='模型ID') message: str = Field(description='用户消息') is_reasoning: bool | None = Field(default=None, description='本次是否开启深度思考') images: list[str] | None = Field(default=None, description='图片URL列表') class AiChatConfigModel(BaseModel): """ AI对话配置模型 """ model_config = ConfigDict(alias_generator=to_camel) chat_config_id: int | None = Field(default=None, description='配置主键') user_id: int | None = Field(default=None, description='用户ID') temperature: float | None = Field(default=None, description='默认温度') add_history_to_context: Literal['0', '1'] | None = Field(default=None, description='是否添加历史记录') num_history_runs: int | None = Field(default=3, description='历史记录条数') system_prompt: str | None = Field(default=None, description='系统提示词') metrics_default_visible: Literal['0', '1'] | None = Field(default=None, description='默认显示指标') vision_enabled: Literal['0', '1'] | None = Field(default=None, description='是否开启视觉') image_max_size_mb: int | None = Field(default=None, description='图片最大大小(MB)') create_time: datetime | None = Field(default=None, description='创建时间') update_time: datetime | None = Field(default=None, description='更新时间') class AiChatSessionBaseModel(BaseModel): """ AI对话会话基础模型 """ model_config = ConfigDict(alias_generator=to_camel) session_id: str = Field(description='会话ID') session_title: str | None = Field(default=None, description='会话标题') session_type: str | None = Field(default=None, description='会话类型') user_id: str | None = Field(default=None, description='用户ID') created_at: datetime | None = Field(default=None, description='创建时间') updated_at: datetime | None = Field(default=None, description='更新时间') class ModelInfoModel(BaseModel): """ 对话会话数据模型-模型信息模型 """ model_config = ConfigDict(alias_generator=to_camel) id: str | None = Field(default=None, description='模型ID') name: str | None = Field(default=None, description='模型名称') provider: str | None = Field(default=None, description='模型提供者') temperature: float | None = Field(default=None, description='模型温度') class AgentDataModel(BaseModel): """ 对话会话数据模型-智能体数据模型 """ model_config = ConfigDict(alias_generator=to_camel) model: ModelInfoModel | None = Field(default=None, description='模型信息') agent_id: str | None = Field(default=None, description='智能体ID') class SessionMetricsModel(BaseModel): """ 对话会话数据模型-会话指标模型 """ model_config = ConfigDict(alias_generator=to_camel) cost: float | None = Field(default=None, description='成本(元)') timer: float | None = Field(default=None, description='运行时长(秒)') duration: float | None = Field(default=None, description='运行时长(秒)') input_tokens: int | None = Field(default=None, description='输入Token数量') total_tokens: int | None = Field(default=None, description='总Token数量') output_tokens: int | None = Field(default=None, description='输出Token数量') provider_metrics: dict | None = Field(default=None, description='提供者指标') reasoning_tokens: int | None = Field(default=None, description='推理Token数量') cache_read_tokens: int | None = Field(default=None, description='缓存读取Token数量') additional_metrics: dict | None = Field(default=None, description='其他指标') audio_input_tokens: int | None = Field(default=None, description='音频输入Token数量') audio_total_tokens: int | None = Field(default=None, description='音频总Token数量') cache_write_tokens: int | None = Field(default=None, description='缓存写入Token数量') audio_output_tokens: int | None = Field(default=None, description='音频输出Token数量') time_to_first_token: float | None = Field(default=None, description='到第一个Token的时间(秒)') class SessionDataModel(BaseModel): """ 对话会话数据模型 """ model_config = ConfigDict(alias_generator=to_camel) session_state: dict | None = Field(default=None, description='会话状态') session_metrics: SessionMetricsModel | None = Field(default=None, description='会话指标') class MessageMetrics(BaseModel): """ 对话消息模型-消息指标模型 """ model_config = ConfigDict(alias_generator=to_camel) input_tokens: int | None = Field(default=None, description='输入Token数量') total_tokens: int | None = Field(default=None, description='总Token数量') output_tokens: int | None = Field(default=None, description='输出Token数量') reasoning_tokens: int | None = Field(default=None, description='推理Token数量') duration: float | None = Field(default=None, description='运行时长(秒)') time_to_first_token: float | None = Field(default=None, description='到第一个Token的时间(秒)') class ChatMessageModel(BaseModel): """ 对话消息模型 """ model_config = ConfigDict(alias_generator=to_camel) id: str | None = Field(default=None, description='消息ID') role: str | None = Field(default=None, description='角色') content: str | None = Field(default=None, description='内容') images: list[str] | None = Field(default=None, description='图片列表') metrics: MessageMetrics | None = Field(default=None, description='Token使用统计') created_at: datetime | None = Field(default=None, description='创建时间') from_history: bool | None = Field(default=None, description='是否来自历史记录') reasoning_content: str | None = Field(default=None, description='推理/思考内容') stop_after_tool_call: bool | None = Field(default=None, description='是否在工具调用后停止') class AiChatSessionModel(AiChatSessionBaseModel): """ AI对话会话模型 """ model_config = ConfigDict(alias_generator=to_camel) agent_id: str | None = Field(default=None, description='智能体ID') session_data: SessionDataModel | None = Field(default=None, description='会话数据') agent_data: AgentDataModel | None = Field(default=None, description='智能体数据') messages: list[ChatMessageModel] | None = Field(default=None, description='消息列表')