"""
Slide 94: Slide 8
Section 4: Open SWE
Source: slides/section4-openswe/section4.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-094/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 94 ===
// open_swe/sandbox/__init__.py:1-12

  from open_swe.sandbox import (
      ModalBackend,
      DaytonaBackend,
      RunloopBackend,
      LangSmithBackend,
  )

  # Modal (Python-first, GPU)
  backend = ModalBackend(
      token_id="..."
      token_secret="..."
  )

// examples/my_internal_backend.py:1-11

  # свой backend: devbox-пул
  from open_swe.sandbox import (
      SandboxBackend,
  )
>  
  class MyInternalBackend(SandboxBackend):
      def execute(self, cmd):
>         return self._run(cmd)
>  
      def read_file(self, p):
>         return self._fetch(p)

// examples/my_internal_backend.py:1-16

  # свой backend: devbox-пул
  from open_swe.sandbox import (
      SandboxBackend,
  )

  class MyInternalBackend(
      SandboxBackend
  ):
      def __init__(self, conn):
          self.conn = conn
>  
>     def execute(self, cmd):
>         return self._run(cmd)
>  
>     def read_file(self, p):
>         return self._fetch(p)

// note: snippet has 16 lines, card fits ~15