43 lines
1.8 KiB
Python
43 lines
1.8 KiB
Python
from pydantic import Field
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore")
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app_name: str = "X2WeChat Studio"
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openai_api_key: str | None = Field(default=None, alias="OPENAI_API_KEY")
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openai_base_url: str | None = Field(default=None, alias="OPENAI_BASE_URL")
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openai_model: str = Field(default="gpt-4.1-mini", alias="OPENAI_MODEL")
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openai_timeout: float = Field(
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default=120.0,
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alias="OPENAI_TIMEOUT",
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description="HTTP 等待模型单轮响应的最长时间（秒）。通义长文 JSON 建议 120~180",
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)
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openai_max_retries: int = Field(
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default=0,
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alias="OPENAI_MAX_RETRIES",
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description="OpenAI SDK 自动重试次数。为避免单次请求被重试拉长，默认 0。",
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)
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openai_max_output_tokens: int = Field(
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default=8192,
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alias="OPENAI_MAX_OUTPUT_TOKENS",
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description="单次模型输出 token 上限；通义等长文 JSON 需足够大",
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)
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openai_source_max_chars: int = Field(default=5000, alias="OPENAI_SOURCE_MAX_CHARS")
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ai_soft_accept: bool = Field(
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default=True,
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alias="AI_SOFT_ACCEPT",
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description="质检未通过时仍输出模型洗稿正文（mode=ai，quality_notes 记录问题），仅模型完全失败时用保底稿",
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)
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wechat_appid: str | None = Field(default=None, alias="WECHAT_APPID")
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wechat_secret: str | None = Field(default=None, alias="WECHAT_SECRET")
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wechat_author: str = Field(default="AI 编辑部", alias="WECHAT_AUTHOR")
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im_webhook_url: str | None = Field(default=None, alias="IM_WEBHOOK_URL")
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im_secret: str | None = Field(default=None, alias="IM_SECRET")
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settings = Settings()
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