"""
Slide 48: Slide 21
Section 2: LangGraph 1.0
Source: slides/section2-langgraph/section2.pptx

Сгенерировано автоматически из slide-NN.js / sectionN.pptx.
Паттерн провайдера скопирован из
bro-js/agents/teacher/assistant/src/angry_teacher/llm.py.

Запуск:
  cd langchain-evolution-deck
  cp .env.example .env   # заполни OPENAI_API_KEY
  python examples/slide-048/script.py
"""
import os
from dotenv import load_dotenv
from langchain_openai import ChatOpenAI

load_dotenv()

llm = ChatOpenAI(
    # model="openrouter/free",
    # model="qwen/qwen3.5-35b-a3b",
    model="openai/gpt-oss-20b",
    # model="nvidia/nemotron-3-nano",
    # model="qwen/qwen3.5-9b",
    base_url="https://llm.brojs.ru/v1",
    # base_url="https://api.minimax.io/v1",
    # base_url="http://0.0.0.0:8090/v1",
    # base_url="https://openrouter.ai/api/v1",
    # api_key=os.getenv("MINIMAX_API_KEY"),
    api_key=(os.getenv("OPENAI_API_KEY") or "").strip() or None,
    temperature=0.7,
    stream_usage=True,
)


# === Code from slide 48 ===
  # Узел review -- маршрутизация по ответу человека
  from langgraph.types import interrupt, Command
  from typing_extensions import TypedDict
  class State(TypedDict):
      plan: str
      executed: bool
  def plan(state: State):
      return {"plan": "step-A; step-B; step-C"}
> def review(state: State) -> Command:
>     # interrupt() возвращает ответ из Command(resume=...)
>     decision = interrupt({"plan": state["plan"]})
>     if decision == "approve":
>         return Command(goto="execute")
>     if decision == "abort":
>         return Command(goto=END)
      return Command(goto="plan")  # перепланировать
  def execute(state: State):
      return {"executed": True}