"""
Slide 73: Slide 13
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-073/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 73 ===
// examples/subagents.py:1-23

  from deepagents import create_deep_agent

  researcher = {
>     "name": "researcher",
>     "description": "Does deep web research, returns citations",
>     "system_prompt": "You are a research specialist. Always cite sources.",
>     "tools": [web_search],  # optional, can be []
  }

  writer = {
>     "name": "writer",
>     "description": "Polishes prose into a final report",
>     "system_prompt": "You are a writing specialist.",
>     "tools": [],
  }

  agent = create_deep_agent(
      model="openai:gpt-4.1",
>     tools=[],
>     subagents=[researcher, writer],
> )
>  
  agent.invoke({"messages": "Research quantum computing and write a 200-word summary."})

// note: snippet has 23 lines, card fits ~16