"""
Slide 81: Slide 21
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-081/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 81 ===
// examples/streaming.py:1-18

  cfg = {"configurable": {"thread_id": "user-42"}}

  # 1. Stream model tokens as they arrive
> for token, meta in agent.stream(
>     {"messages": "..."}, cfg,
>     stream_mode="messages",
  ):
      print(token.content, end="", flush=True)

  # 2. Stream state updates per node
  for chunk in agent.stream(
>     {"messages": "..."}, cfg,
>     stream_mode="updates",
> ):
      print(chunk)  # {"model": {...}, "tools": {...}}

  # 3. Subagent streams are surfaced as
  #    {"subagent": {"name": "researcher", "chunk": ...}}

// note: snippet has 18 lines, card fits ~16