From c2687b66b5878279fc788eb5d1afabd4b34514c9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=D0=9A=D0=B8=D1=80=D0=B8=D0=BB=D0=BB=20=D0=A0=D0=BE=D0=BC?=
 =?UTF-8?q?=D0=B0=D0=BD=D0=BE=D0=B2?= <kirilinka320@gmail.com>
Date: Fri, 5 Jun 2026 12:37:29 +0000
Subject: [PATCH] Update README.md

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-# task-6a1d75dbfd30e81cf3126b09
+# Research Brief Generator
 
-Повторный экзамен: Исследовательский бриф (план → шаги → сводка)
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+This project implements a **LangGraph** based agent that, given a research topic, produces a short research brief. The workflow is:
+
+1. **Outline** – The LLM generates a 4–5 point outline.
+2. **Research** – For each outline point a single Tavily web search is performed and a concise note is produced.
+3. **Synthesize** – All notes are combined into a ½–1 page brief.
+
+The agent uses:
+- **OpenAI** (ChatOpenAI) for LLM calls.
+- **TavilySearch** for real‑time web queries.
+- **LangGraph** for stateful flow control.
+
+## Prerequisites
+
+- Python 3.10+
+- An OpenAI API key (set `OPENAI_API_KEY`).
+- A Tavily API key (set `TAVILY_API_KEY`).
+
+Both keys can be stored in a `.env` file in the project root.
+
+## Installation
+
+```bash
+pip install -r requirements.txt
+```
+
+## Usage
+
+```bash
+python -m src.cli "Explain to a student the difference between tool and resource in MCP."
+```
+
+The script will print the outline, each research step with notes, and the final brief.
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