---
title: GAIA LangGraph Agent
emoji: 🤖
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.31.0
app_file: app.py
pinned: false
hf_oauth: true

---

# GAIA Benchmark Agent with LangGraph

This project implements an agent using the LangGraph framework to solve the GAIA benchmark tasks provided by the Hugging Face Agents Course (Unit 4).

✅ Uses LangChain + LangGraph  
✅ Handles 20 benchmark questions  
✅ Submits answers for scoring via Hugging Face leaderboard

## How to run

1. Clone this repo and push it as a Hugging Face Space (public).
2. Install the dependencies.
3. Launch the Space and log in to Hugging Face.
4. Click "Run Evaluation & Submit All Answers" to evaluate your agent.

## Project files

- `main.py` — Gradio app runner
- `graph_builder.py` — Builds the LangGraph pipeline
- `llm_node.py` — Defines LLM node logic
- `formatter_node.py` — Cleans up answers for exact-match submission
- `api_client.py` — Wraps GAIA API interactions

Good luck!