fix: bug

app/config.py

@@ -5,7 +5,7 @@ from pydantic_settings import BaseSettings, SettingsConfigDict
 class Settings(BaseSettings):
     model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore")
 
-    app_name: str = "X2WeChat Studio"
+    app_name: str = "AI发糕"
     openai_api_key: str | None = Field(default=None, alias="OPENAI_API_KEY")
     openai_base_url: str | None = Field(default=None, alias="OPENAI_BASE_URL")
     openai_model: str = Field(default="gpt-4.1-mini", alias="OPENAI_MODEL")
@@ -24,6 +24,11 @@ class Settings(BaseSettings):
         alias="OPENAI_MAX_OUTPUT_TOKENS",
         description="单次模型输出 token 上限；通义等长文 JSON 需足够大",
     )
+    openai_image_model: str = Field(
+        default="gpt-image-1",
+        alias="OPENAI_IMAGE_MODEL",
+        description="用于海报生成的图像模型",
+    )
     openai_source_max_chars: int = Field(default=5000, alias="OPENAI_SOURCE_MAX_CHARS")
     ai_soft_accept: bool = Field(
         default=True,
@@ -44,6 +49,21 @@ class Settings(BaseSettings):
         alias="WECHAT_THUMB_IMAGE_PATH",
         description="本地封面图路径（容器内），将自动上传为永久素材；不配则使用内置灰底图上传",
     )
+    poster_image_size: str = Field(
+        default="1024x1536",
+        alias="POSTER_IMAGE_SIZE",
+        description="AI 海报生成尺寸（OpenAI images.generate size）",
+    )
+    poster_max_images: int = Field(
+        default=6,
+        alias="POSTER_MAX_IMAGES",
+        description="单次自动生成海报上限（首段跳过后生效）",
+    )
+    poster_upload_max_bytes: int = Field(
+        default=950000,
+        alias="POSTER_UPLOAD_MAX_BYTES",
+        description="上传微信 uploadimg 前压缩目标字节数，预留余量避免超 1MB 限制",
+    )
 
     im_webhook_url: str | None = Field(default=None, alias="IM_WEBHOOK_URL")
     im_secret: str | None = Field(default=None, alias="IM_SECRET")