🧠 LangChain Groq Search Agent

A simple LangChain-based AI agent powered by Groq using the openai/gpt-oss-120b model, with real-time web search via Tavily.

This repository provides everything needed to install, configure, and run the agent locally.

🚀 Features

• Groq-powered LLM (openai/gpt-oss-120b)
• LangChain agent
• Real-time web search using Tavily
• Easy setup with requirements.txt

⚙️ Requirements

• Python 3.9+
• Groq API key
• Tavily API key

🔧 Installation

1. Clone the repository

git clone https://github.com/Sujit224/langchain-groq-search-agent
cd langchain-groq-search-agent

2. Create a virtual environment

python -m venv venv
source venv/bin/activate      # macOS / Linux
venv\Scripts\activate         # Windows

3. Install dependencies

pip install -r requirements.txt

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🔑 Environment Variables

Create a .env file in the project root:

LANGCHAIN_AGENT_KEY=your_groq_api_key_here
TAVILY_API_KEY=your_tavily_api_key_here

⚠️ Do not commit API keys to GitHub.

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▶️ Usage

Run the agent: python main.py Enter a query when prompted.

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🧠 Model Used

Provider: Groq Model: openai/gpt-oss-120b Temperature: 0.3

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🔍 Search Capability

This agent uses Tavily to fetch real-time information from the web when needed.

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📝 Notes

The model has a knowledge cutoff (June 2024) Web search is used to retrieve up-to-date information Output quality depends on search availability