Update README.md
This commit is contained in:
@@ -1,3 +1,34 @@
|
||||
# task-6a1d75dbfd30e81cf3126b09
|
||||
# Research Brief Generator
|
||||
|
||||
Повторный экзамен: Исследовательский бриф (план → шаги → сводка)
|
||||
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.
|
||||
Reference in New Issue
Block a user