chore: import upstream snapshot with attribution
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from typing import List, Literal, Optional
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from pydantic import BaseModel, Field
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from enums.tone import Tone
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from enums.verbosity import Verbosity
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class GeneratePresentationRequest(BaseModel):
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content: str = Field(..., description="The content for generating the presentation")
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slides_markdown: Optional[List[str]] = Field(
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default=None, description="The markdown for the slides"
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)
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instructions: Optional[str] = Field(
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default=None, description="The instruction for generating the presentation"
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)
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tone: Tone = Field(default=Tone.DEFAULT, description="The tone to use for the text")
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verbosity: Verbosity = Field(
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default=Verbosity.STANDARD, description="How verbose the presentation should be"
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)
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web_search: bool = Field(default=False, description="Whether to enable web search")
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n_slides: Optional[int] = Field(
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default=None,
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description="Number of slides to generate. If omitted, model auto-detects slide count.",
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)
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language: Optional[str] = Field(
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default=None,
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description="Language for the presentation. If omitted, model auto-detects language.",
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)
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template: str = Field(
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default="general", description="Template to use for the presentation"
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)
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include_table_of_contents: bool = Field(
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default=False, description="Whether to include a table of contents"
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)
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include_title_slide: bool = Field(
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default=True, description="Whether to include a title slide"
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)
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files: Optional[List[str]] = Field(
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default=None, description="Files to use for the presentation"
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)
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export_as: Literal["pptx", "pdf"] = Field(
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default="pptx", description="Export format"
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)
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trigger_webhook: bool = Field(
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default=False, description="Whether to trigger subscribed webhooks"
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)
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