from __future__ import annotations from typing import Literal from pydantic import BaseModel, Field class EmailData(BaseModel): subject: str body: str class ClassifyRequest(BaseModel): email_data: EmailData provider: Literal["openai", "anthropic"] | None = None model: str | None = None base_url: str | None = None api_key: str | None = Field(default=None, exclude=True) temperature: float | None = None id: str | None = None internetMessageId: str | None = None conversationId: str | None = None bodyPreview: str | None = None receivedDateTime: str | None = None sentDateTime: str | None = None hasAttachments: bool | None = None importance: str | None = None isRead: bool | None = None from_address: str | None = None class ClassificationDetails(BaseModel): summary: str | None = None suggested_title: str | None = None suggested_notes: str | None = None deadline: str | None = None people: list[str] = Field(default_factory=list) organizations: list[str] = Field(default_factory=list) attachments_referenced: list[str] = Field(default_factory=list) next_steps: list[str] = Field(default_factory=list) key_points: list[str] = Field(default_factory=list) source_signals: list[str] = Field(default_factory=list) dedupe_key: str | None = None class DedupeResult(BaseModel): status: Literal["new", "duplicate", "updated"] seen_count: int = 1 matched_on: Literal["none", "id", "conversation", "fingerprint"] = "none" message_id: str | None = None conversation_id: str | None = None fingerprint: str class ClassificationResult(BaseModel): needs_action: bool category: Literal["action_required", "question", "fyi", "newsletter", "promotional", "automated", "alert", "uncategorized"] priority: Literal["high", "medium", "low"] task_description: str | None = None reasoning: str confidence: float details: ClassificationDetails | None = None dedupe: DedupeResult | None = None