mirror of
https://github.com/agentscope-ai/ReMe.git
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5fc57e7f4e
- Add BaseClient, BaseFileStore, BaseFileWatcher, BaseJob, BaseService, and BaseStep classes - Move component initialization logic from ApplicationContext to Application class - Add logo printing and logging initialization in Application startup - Create client module with base client implementation - Add file store base class with embedding resolution and validation - Implement file watcher base class with watchfiles integration - Add job base class for sequential step execution orchestration - Create service base class for job exposure mechanisms - Refactor BaseStep with LLM workflow execution capabilities - Add case converter utility for naming convention transformations - Update import structure and module organization - Add proper type hints and docstrings across all components - Implement component registry integration for dynamic loading - Add error handling for missing backend configurations
28 lines
998 B
Python
28 lines
998 B
Python
"""Response schema module.
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This module defines the standardized data structure for model output
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responses used throughout the application.
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"""
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from typing import Any
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from pydantic import BaseModel, Field, ConfigDict
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class Response(BaseModel):
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"""Represents a structured response with result, status, and metadata.
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This model provides a consistent interface for returning results
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from operations, LLM calls, and service endpoints.
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Attributes:
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answer: The main response content, typically a string or structured data.
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success: Whether the operation completed successfully.
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metadata: Additional context and diagnostic information.
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"""
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model_config = ConfigDict(extra="allow")
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answer: str | Any = Field(default="", description="Response content or result data")
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success: bool = Field(default=True, description="Operation success status")
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metadata: dict = Field(default_factory=dict, description="Additional context and diagnostics")
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