"""
Slide 122: TypeScript SDK и плюсы/минусы
Section 5: Экосистема
Source: slides/section5-ecosystem/slide-12.js

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-122/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 122 ===
import { Client, traceable } from "langsmith";

const client = new Client();

// @traceable decorator -- точно как в Python
const retrieve = traceable(
  async function retrieve(query: string) {
    return vectorStore.similaritySearch(query, 4);
  },
  { name: "retrieve_docs", runType: "retriever" }
);

// run_on_dataset для eval -- тоже есть
await client.runOnDataset(
  "rag-qa-eval-v1", target,
  { evaluators: [answerMatch] }
);