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| from enum import Enum | |
| from typing import Any, Optional | |
| from pydantic import BaseModel, Field | |
| class TaskType(str, Enum): | |
| SUMMARIZATION = "summarization" | |
| QUESTION_ANSWERING = "question_answering" | |
| CODE_ANALYSIS = "code_analysis" | |
| INFORMATION_EXTRACTION = "information_extraction" | |
| class TextInput(BaseModel): | |
| content: str = Field(description="The text content to analyze") | |
| source_type: Optional[str] = Field(default=None, description="Type of source") | |
| metadata: dict[str, Any] = Field(default_factory=dict, description="Additional metadata") | |
| class OverviewObservation(BaseModel): | |
| task_id: str | |
| task_type: TaskType | |
| task_name: str | |
| task_description: str | |
| difficulty: str = "medium" | |
| input_text: str | |
| question: Optional[str] = None | |
| code_language: Optional[str] = None | |
| expected_output: Optional[str] = None | |
| max_steps: int = 10 | |
| class AnalysisResult(BaseModel): | |
| summary: Optional[str] = None | |
| answer: Optional[str] = None | |
| explanation: Optional[str] = None | |
| extracted_info: Optional[dict[str, Any]] = None | |
| confidence: float = 0.0 | |
| class OverviewAction(BaseModel): | |
| analysis: AnalysisResult | |
| submit: bool = False |