feat: solution for 'Экзамен: Самокорректирующийся агент'
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"""
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A minimal LangGraph agent implementation.
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This module defines a simple LangGraph that demonstrates how to create a graph,
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add nodes, and execute it. The graph consists of a single node that appends a
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message to the state and then ends the execution.
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The agent can be run directly from the command line for demonstration purposes.
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"""
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from dataclasses import dataclass, field
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from typing import List, Dict, Any
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# Import LangGraph components
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try:
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from langgraph.graph import StateGraph, END
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except ImportError as exc:
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raise ImportError(
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"langgraph is not installed. Please add 'langgraph' to your requirements.txt "
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"and run 'pip install -r requirements.txt'."
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) from exc
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@dataclass
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class AgentState:
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"""
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The state that flows through the graph.
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Attributes
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----------
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messages : List[str]
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A list of messages that the agent accumulates during execution.
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"""
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messages: List[str] = field(default_factory=list)
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class LangGraphAgent:
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"""
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A simple LangGraph agent that demonstrates basic graph construction and execution.
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"""
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def __init__(self) -> None:
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"""
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Initialize the graph and define its nodes and edges.
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"""
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self.graph = StateGraph(AgentState)
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# Add nodes
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self.graph.add_node("start", self._start_node)
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self.graph.add_node("end", self._end_node)
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# Define the entry point and transitions
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self.graph.set_entry_point("start")
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self.graph.add_edge("start", "end")
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self.graph.add_edge("end", END)
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# Compile the graph into a runnable function
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self._graph_fn = self.graph.compile()
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def _start_node(self, state: AgentState) -> AgentState:
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"""
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The starting node of the graph.
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It appends a greeting message to the state's messages list.
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"""
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state.messages.append("Hello from LangGraph!")
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return state
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def _end_node(self, state: AgentState) -> AgentState:
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"""
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The ending node of the graph.
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Currently, it performs no additional processing.
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"""
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return state
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def run(self, initial_state: Dict[str, Any] | None = None) -> AgentState:
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"""
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Execute the graph starting from the provided initial state.
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Parameters
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----------
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initial_state : dict or None
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Optional dictionary to initialize the AgentState. If None, an empty state
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is used.
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Returns
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-------
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AgentState
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The final state after graph execution.
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"""
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if initial_state is None:
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initial_state = {}
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# Convert dict to AgentState
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state = AgentState(**initial_state)
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final_state = self._graph_fn(state)
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return final_state
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if __name__ == "__main__":
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"""
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Example usage of the LangGraphAgent.
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Running this script will instantiate the agent, execute the graph, and print
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the resulting state.
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"""
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agent = LangGraphAgent()
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result = agent.run()
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print("Final state messages:", result.messages)
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