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Sleeping
| from enum import Enum | |
| from typing import Any, Dict, List, Optional | |
| from pydantic import BaseModel | |
| class CodeEnum(int, Enum): | |
| SUCCESS = 0 | |
| class ContentItem(BaseModel): | |
| type: str | |
| resource_id: Optional[str] | |
| data: str | |
| class InputMessage(BaseModel): | |
| role: str | |
| content: List[ContentItem] | |
| class ChatRequest(BaseModel): | |
| agent_id: str | |
| messages: List[InputMessage] | |
| kwargs: Dict[str, Any] = {} | |
| class CallbackMessage(BaseModel): | |
| role: str | |
| type: str | |
| content: str | |
| class Usage(BaseModel): | |
| prompt_tokens: int | |
| output_tokens: int | |
| class ContentStatus(str, Enum): | |
| INCOMPLETE = "incomplete" # the conversation content is not yet complete | |
| END_BLOCK = "end_block" # a single conversation has ended, but the overall result is not finished | |
| END_ANSWER = "end_answer" # the overall return is complete | |
| class ChatResponse(BaseModel): | |
| agent_id: str | |
| code: int | |
| error_info: str | |
| took: int | |
| content_status: ContentStatus | |
| message: CallbackMessage | |
| usage: Usage | |
| class RunningInfo(BaseModel): | |
| agent_id: str | |
| progress: str | |
| message: Optional[str] | |
| class DataMemorize(BaseModel): | |
| content: List[ContentItem] | |
| class ContentStatus(str, Enum): | |
| INCOMPLETE = "incomplete" # the conversation content is not yet complete | |
| END_BLOCK = "end_block" # a single conversation has ended, but the overall result is not finished | |
| END_ANSWER = "end_answer" # the overall return is complete | |
| class InteractionType(int, Enum): | |
| DEFAULT = 0 | |
| INPUT = 1 | |
| class MessageType(str, Enum): | |
| TEXT = "text" | |
| IMAGE_URL = "image_url" | |
| IMAGE_BASE64 = "image_base64" | |