"""
Slide 63: Slide 3
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-063/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 63 ===
// examples/hello.py:1-14

  # One import, one call -- you get:
  #  - write_todos planning tool
  #  - ls / read_file / write_file / edit_file
  #  - glob, grep, execute (bash)
  #  - task tool for subagents
  #  - summarization middleware

  from deepagents import create_deep_agent
>  
> agent = create_deep_agent(
>     model="openai:gpt-4.1",
>     tools=[my_tool],
>     system_prompt="...",
> )

// note: snippet has 14 lines, card fits ~10