3b682069d3
- Backend: ChatMessageRequest accepts upload_ids, endpoint fetches images from S3, base64-encodes them, passes to Claude as multimodal content blocks (vision API) - Backend: add download_file() to storage_service for fetching from S3 - Frontend: handleSend collects completed upload IDs from pendingUploads and includes them in the sendChatMessage API call - Frontend: prefill handler passes upload IDs from dashboard nav state - Enables paste-screenshot → AI-sees-it flow end-to-end Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
72 lines
1.7 KiB
Python
72 lines
1.7 KiB
Python
"""Pydantic schemas for standalone AI assistant chat."""
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from typing import Optional, Any, Literal
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from uuid import UUID
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from datetime import datetime
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from pydantic import BaseModel, Field
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from app.schemas.copilot import SuggestedFlow
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class ChatCreateRequest(BaseModel):
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"""Empty body — creates a new blank conversation."""
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pass
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class ChatMessageRequest(BaseModel):
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message: str = Field(..., min_length=1, max_length=8000)
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upload_ids: list[UUID] = Field(default_factory=list, max_length=10)
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class ChatMessageResponse(BaseModel):
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content: str
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suggested_flows: list[SuggestedFlow] = []
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class ChatListResponse(BaseModel):
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id: UUID
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title: str
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message_count: int
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pinned: bool
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created_at: datetime
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updated_at: datetime
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model_config = {"from_attributes": True}
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class ChatDetailResponse(BaseModel):
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id: UUID
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title: str
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messages: list[dict[str, Any]]
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message_count: int
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pinned: bool
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created_at: datetime
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updated_at: datetime
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model_config = {"from_attributes": True}
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class ChatUpdateRequest(BaseModel):
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title: Optional[str] = Field(None, min_length=1, max_length=255)
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pinned: Optional[bool] = None
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class RetentionSettingsResponse(BaseModel):
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chat_retention_days: Optional[int]
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chat_retention_max_count: Optional[int]
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class RetentionSettingsUpdate(BaseModel):
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chat_retention_days: Optional[int] = Field(None, ge=1, le=365)
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chat_retention_max_count: Optional[int] = Field(None, ge=10, le=10000)
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class ConcludeChatRequest(BaseModel):
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outcome: Literal["resolved", "escalated", "paused"]
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notes: Optional[str] = Field(None, max_length=2000)
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class ConcludeChatResponse(BaseModel):
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summary: str
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outcome: str
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concluded_at: datetime
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