"""
Slide 79: Slide 19
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-079/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 79 ===
// examples/composite_backend.py:1-20

  from deepagents import create_deep_agent
  from deepagents.backends import (
      CompositeBackend, FilesystemBackend, StoreBackend
  )
  from langgraph.store.memory import InMemoryStore

  store = InMemoryStore()  # or PostgresStore in prod

  backend = CompositeBackend(
      default=FilesystemBackend(root_dir="./workspace"),
      routes={
>         "/memory/": StoreBackend(store=store, namespace=("agent", "kb")),
>         "/scratch/": FilesystemBackend(root_dir="/tmp/scratch"),
>     },
> )

  agent = create_deep_agent(model=..., backend=backend)
  # /workspace/notes.md -> local disk
  # /memory/lessons.md  -> Postgres, shared across sessions
> # /scratch/tmp.py     -> ephemeral tmpfs

// note: snippet has 20 lines, card fits ~16