Add README

README.md

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+# Search Engine Tool Agent
+
+A conversational AI chatbot built with **Streamlit** and **LangChain** that can search the web, Wikipedia, and Arxiv to answer your questions.
+
+## Features
+
+- **Multi-tool agent** powered by LangChain's ReAct architecture
+- **DuckDuckGo Search** for general web queries
+- **Wikipedia** for encyclopedic knowledge
+- **Arxiv** for scientific papers and research
+- **Chat interface** with conversation history
+- **Transparent reasoning** — expandable steps show the agent's thinking process and tool calls
+
+## Tech Stack
+
+- **Streamlit** — Web UI and chat interface
+- **LangChain / LangGraph** — Agent orchestration and tool management
+- **OpenAI GPT** — Language model (easily swappable with Groq/Ollama)
+- **LangSmith** — Optional tracing and monitoring
+
+## Setup
+
+### 1. Clone the repository
+
+```bash
+git clone https://github.com/ftn03/SearchEngineToolAgent.git
+cd SearchEngineToolAgent
+```
+
+### 2. Install dependencies
+
+```bash
+pip install -r requirements.txt
+```
+
+### 3. Configure environment variables
+
+Copy the example file and fill in your API keys:
+
+```bash
+cp .env.example .env
+```
+
+Required keys:
+
+| Variable | Description |
+|---|---|
+| `OPENAI_API_KEY` | OpenAI API key (for GPT models) |
+| `GROQ_API_KEY` | Groq API key (optional, for Llama/Qwen models) |
+| `LANGCHAIN_API_KEY` | LangSmith API key (optional, for tracing) |
+| `LANGCHAIN_PROJECT` | LangSmith project name (optional) |
+
+### 4. Run the app
+
+```bash
+streamlit run app.py
+```
+
+The app will open at `http://localhost:8501`.
+
+## How It Works
+
+1. The user asks a question in the chat input
+2. The LangChain agent decides which tool(s) to use
+3. Each step is displayed with expandable details (reasoning, tool calls, tool results)
+4. The final answer is displayed in the chat and saved to conversation history
+
+## Switching LLM Providers
+
+Edit `app.py` to swap the model. Examples:
+
+```python
+# OpenAI
+llm = ChatOpenAI(model="gpt-5-nano-2025-08-07", streaming=True)
+
+# Groq (Llama)
+llm = ChatGroq(model="llama-3.3-70b-versatile", streaming=True)
+```