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40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
"""Define the state structures for the agent."""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Any
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.services.streaming_service import StreamingService
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@dataclass
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class State:
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"""Defines the dynamic state for the agent during execution.
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This state tracks the database session and the outputs generated by the agent's nodes.
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See: https://langchain-ai.github.io/langgraph/concepts/low_level/#state
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for more information.
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"""
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# Runtime context (not part of actual graph state)
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db_session: AsyncSession
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# Streaming service
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streaming_service: StreamingService
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chat_history: list[Any] | None = field(default_factory=list)
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reformulated_query: str | None = field(default=None)
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# Using field to explicitly mark as part of state
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answer_outline: Any | None = field(default=None)
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further_questions: Any | None = field(default=None)
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# Temporary field to hold reranked documents from sub-agents for further question generation
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reranked_documents: list[Any] | None = field(default=None)
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# OUTPUT: Populated by agent nodes
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# Using field to explicitly mark as part of state
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final_written_report: str | None = field(default=None)
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