"""
Slide 80: Slide 20
Section 3: Deep Agents
Source: slides/section3-deepagents/section3.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-080/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 80 ===
// examples/hitl.py:1-23

  from langchain.agents.middleware import HumanInTheLoopMiddleware
  from deepagents import create_deep_agent
  from langgraph.checkpoint.memory import InMemorySaver
  from langgraph.types import Command

  agent = create_deep_agent(
      model="openai:gpt-4.1",
      checkpointer=InMemorySaver(),
>     middleware=[HumanInTheLoopMiddleware(
>         interrupt_on={
>             "execute":   True,    # bash -- always ask
>             "write_file": True,   # disk writes -- always ask
>             "task":      False,   # subagents -- run unattended
>         },
      )],
  )

  cfg = {"configurable": {"thread_id": "user-42"}}
  try:
      agent.invoke({"messages": "deploy to staging"}, cfg)
  except InterruptedError:
      decision = ask_user("Approve execute()?")   # your UI
      agent.invoke(Command(resume=decision), cfg)

// note: snippet has 23 lines, card fits ~15