efd69cc134
- Introduced a new chat endpoint for handling user messages and generating responses. - Added models for chat message requests and responses. - Implemented a conversation store to manage chat history. - Integrated memory layer for retrieving presentation context. - Created tools for accessing presentation outlines and searching slides. - Updated dependencies to include jsonschema for validation. - Enhanced the API router to include the new chat functionality.
20 lines
504 B
Python
20 lines
504 B
Python
import uuid
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from typing import Optional
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from pydantic import BaseModel, ConfigDict, Field
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class ChatMessageRequest(BaseModel):
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presentation_id: uuid.UUID
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message: str = Field(min_length=1, max_length=8000)
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conversation_id: Optional[uuid.UUID] = None
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model_config = ConfigDict(extra="forbid")
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class ChatMessageResponse(BaseModel):
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conversation_id: uuid.UUID
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response: str
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tool_calls: list[str] = Field(default_factory=list)
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model_config = ConfigDict(extra="forbid")
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