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- Introduce BaseAsTokenCounter and EstimatedAsTokenCounter for token estimation - Add AsMsgStat and AsBlockStat schema for message statistics tracking - Implement FileIO class with read/write/append/edit operations - Create file utility functions for safe async file reading and truncation - Add MemorySearch component for semantic search in memory files - Register new component types in ComponentEnum and update imports - Add constants for default host, port, and truncation limits - Create BaseService abstract base class for service implementations - Implement BaseStep with component accessors and lifecycle management - Add proper __all__ exports for all new modules and components
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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