"""
Slide 46: Slide 19
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-046/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 46 ===
  from langgraph.types import interrupt, Command
  from langgraph.graph import StateGraph, START, END
  from langgraph.checkpoint.memory import InMemorySaver
  from typing_extensions import TypedDict
  class State(TypedDict):
      question: str
      approved: bool
  def ask(state: State):
      # interrupt() -- пауза. Возвращает значение из Command(resume=...)
>     answer = interrupt({"question": "Approve sending this message?"})
      return {"approved": answer == "yes"}
  g = StateGraph(State)
  g.add_node("ask", ask)
  g.add_edge(START, "ask")
  g.add_edge("ask", END)
  app = g.compile(checkpointer=InMemorySaver())
> cfg = {"configurable": {"thread_id": "approval-1"}}
> app.invoke({"question": "send email", "approved": False}, cfg)   # пауза
> result = app.invoke(Command(resume="yes"), cfg)                  # resume
  print(result["approved"])  # -> True

// note: snippet has 20 lines, card fits ~18