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48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
"""Define the configurable parameters for the agent."""
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from __future__ import annotations
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from dataclasses import dataclass, fields
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from enum import Enum
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from langchain_core.runnables import RunnableConfig
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class SearchMode(Enum):
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"""Enum defining the type of search mode."""
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CHUNKS = "CHUNKS"
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DOCUMENTS = "DOCUMENTS"
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class ResearchMode(Enum):
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"""Enum defining the type of research mode."""
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QNA = "QNA"
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REPORT_GENERAL = "REPORT_GENERAL"
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REPORT_DEEP = "REPORT_DEEP"
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REPORT_DEEPER = "REPORT_DEEPER"
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@dataclass(kw_only=True)
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class Configuration:
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"""The configuration for the agent."""
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# Input parameters provided at invocation
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user_query: str
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num_sections: int
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connectors_to_search: list[str]
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user_id: str
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search_space_id: int
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search_mode: SearchMode
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research_mode: ResearchMode
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document_ids_to_add_in_context: list[int]
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@classmethod
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def from_runnable_config(
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cls, config: RunnableConfig | None = None
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) -> Configuration:
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"""Create a Configuration instance from a RunnableConfig object."""
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configurable = (config.get("configurable") or {}) if config else {}
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_fields = {f.name for f in fields(cls) if f.init}
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return cls(**{k: v for k, v in configurable.items() if k in _fields})
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