"""
Slide 116: Auto-tracing LangChain + метаданные
Section 5: Экосистема
Source: slides/section5-ecosystem/slide-06.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-116/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 116 ===
from langchain_openai import ChatOpenAI
from langchain_core.prompts import ChatPromptTemplate

prompt = ChatPromptTemplate.from_template("Tell a joke about {topic}")
model = ChatOpenAI(model="gpt-4o-mini")
chain = prompt | model

# auto-tracing: invoke/batch/stream автоматически создают Run
# с input, output, token usage, latency.
result = chain.invoke(
    {"topic": "databases"},
    config={
        "run_name": "joke_chain",            # имя в UI
        "tags": ["prod", "experiment-v3"],   # фильтр в UI
        "metadata": {                        # любые поля
            "user_id": "u_123",
            "request_id": "req_abc",
        },
    },
)