add models.py
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"""
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Shared data structures for the Planning Agent.
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The module contains a TypedDict that represents the state used by LangGraph.
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It is imported in ``main.py`` to keep type hints consistent across files.
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"""
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from typing import List, TypedDict
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class PlanningState(TypedDict):
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"""State of the planning agent.
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Attributes:
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task: The original natural‑language description.
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plan: Optional list of steps produced by the LLM.
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current_step: Index of the next step to execute.
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results: Accumulated textual results for each executed step.
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"""
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task: str
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plan: List[str] | None
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current_step: int
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results: List[str]
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