EuroSTEMPeers2025_workshop

Welcome to the EuroSTEMPeers 2025 hands-on beginner-level workshop on Agentic AI!
This session aims to demystify language model agents by walking participants through how to build simple, modular agents using LangGraph — an open-source Python framework for creating multi-agent workflows.

🧠 LangGraph Agentic AI Workshop

Hosted by TeamVPE at BioMed X Institute

Welcome to the hands-on workshop on Agentic AI with LangGraph! This session is hosted by TeamVPE at the BioMed X Institute, proudly supported by Sanofi.

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🎯 Workshop Goals

By the end of this workshop, you'll be able to:

• Understand the LangGraph framework for building stateful LLM agents
• Create and manage agent state and tool-calling workflows
• Use OpenAI or NVIDIA NIMs as your LLM backend
• Build a ReAct-style reasoning loop with tools
• Visualize LangGraph agent flows
• Extend agents with tools for:
  • 🧮 Math calculation
  • 📊 Matplotlib plotting
  • 🌍 Language translation
  • 📄 PDF Q&A pipeline
  • 🎨 DALL·E image generation

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🧱 What You'll Build

You will implement several progressively advanced agents:

1. Echo agent using LangGraph
2. LLM-powered assistant (OpenAI or NVIDIA NIM)
3. ReAct agent with intermediate memory and reasoning
4. Multi-tool agent with tool routing and control flow
5. PDF reasoning agent that can download, extract, and answer questions from papers
6. Image generation agent using DALL·E 3

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🧰 Prerequisites

• Python 3.12+
• Jupyter Notebook environment (e.g. Anaconda, VS Code, Colab)
• One of the following API keys:
  • OpenAI API Key
  • NVIDIA NIM API Key

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🚀 Installation

Install required libraries with:

pip install langgraph langchain openai matplotlib pymupdf graphviz pydot requests

You’ll also need to install:

• langchain_nvidia_ai_endpoints (if using NVIDIA NIMs)
• IPython (if not included in your environment)

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🔐 API Key Setup

You can either:

• Set environment variables (OPENAI_API_KEY or NVIDIA_API_KEY)
• Or paste the key directly into the notebook (demo-friendly)

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📚 Topics Covered

Section	Highlights
✅ Basics	LangGraph setup, Echo agent
🧠 LLMs	OpenAI/NVIDIA NIM integration
🔁 ReAct	Reasoning + tool invocation
🔧 Tools	Calculator, plot generator, translator
📄 PDFs	Download, extract, and answer
🎨 Vision	Image generation with DALL·E
📊 Visualization	Flowchart of LangGraph workflows

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🧑‍🔬 About the Project

This workshop is part of the AIAgents4Pharma initiative — an open-source toolkit for enabling biomedical researchers and pharma professionals to interact with complex data through intelligent, language-powered agents.

👉 Explore more: VirtualPatientEngine/AIAgents4Pharma

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📎 Attribution

Developed by TeamVPE, AI research team at BioMed X Institute. Sponsored by Sanofi.

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🧑‍💻 Get Started

Launch the Jupyter Notebook and start from:

!pip install -q langgraph langchain openai

Then follow the steps to build your first intelligent agent!