""" Slide 75: Slide 15 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-075/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 75 === // examples/virtual_fs.py:1-9 # Inspect the virtual filesystem after a run: result = agent.invoke({"messages": "Summarize repo"}) > > files = result.get("files", {}) > for path, doc in files.items(): > print(f"{path}: {len(doc.get('content', []))} bytes") # /repo/src/main.py: 421 bytes # /repo/README.md: 1804 bytes