README.md

Bootcamp - Building, Deploying and Scaling Agentic AI Systems

This repository contains all examples discussed during the bootcamp.

Project Structure

• script_1.py - Simple LangChain chat example with prompt template and langfuse tracing
• example.env - Template for environment variables
• pyproject.toml - Project dependencies and configuration

Browser

The Chrome browser is recommended.

Prerequisites

Install

Python

• Installation steps: https://www.python.org/downloads/
• Recommended: Python 3.11 - 3.13. This version is required for optimal compatibility with LangChain.

uv package manager

• Installation steps: https://docs.astral.sh/uv/getting-started/installation/
• Recommended: Latest Version. Standalone Installer.

git

• Installation steps: https://git-scm.com/install
• Recommended: Latest Version.

Visual Studio Code

• Installation steps: https://code.visualstudio.com/docs/setup/setup-overview
• Recommended: Latest Version. No additional components, extensions or AI features needed.

Set up LLM API Keys

You'll need a Google API key (Free Tier). If you don’t have a Google API key, you can sign up here: https://aistudio.google.com/api-keys

This would later be set in .env file as:

GOOGLE_API_KEY="..."

Setup Langfuse

Create a Langfuse account and API key here:

1. Signup here: https://us.cloud.langfuse.com/auth/sign-in?targetPath=%2F
2. Create a new organization - Bootcamp
3. Create a new project - Day1
4. Go to Settings -> Under Project Settings -> API Keys -> Create new API Keys -> Create API Keys -> Copy the .env content

This would later be set in .env file as:

LANGFUSE_SECRET_KEY="sk-lf-..."
LANGFUSE_PUBLIC_KEY="pk-lf-..."
LANGFUSE_BASE_URL="https://us.cloud.langfuse.com"

Bootcamp Repository Setup

Clone the repo

git clone https://github.com/nsbisht/Bootcamp_Repository.git

Create .env file

cd Bootcamp_Repository
cp example.env .env

Open in VS Code

1. Open VS Code
2. File -> Open Folder -> Navigate and select Bootcamp_Repository -> Open

Add Google API key

Add in .env file:

GOOGLE_API_KEY="..."

API key for Langfuse Tracing

Add in .env file:

LANGFUSE_SECRET_KEY="sk-lf-..."
LANGFUSE_PUBLIC_KEY="pk-lf-..."
LANGFUSE_BASE_URL="https://us.cloud.langfuse.com"

Open Terminal in VS Code

At the top,

Terminal -> New Terminal

Create virtual environment and install dependencies

uv sync

Running the Scripts

Run the basic LangChain example

uv run script_1.py

Troubleshooting

Import errors

If you encounter import errors, ensure all dependencies are installed:

uv sync

API key issues

• Verify your .env file contains valid API keys
• Ensure there are no extra spaces around the = sign
• Check that the .env file is in the project root directory

Langfuse tracing not working

• Verify all three Langfuse environment variables are set correctly
• Check your project settings in the Langfuse dashboard
• Ensure you're using the correct region URL (US: https://us.cloud.langfuse.com)

Version issues

Check your version:

python --version
uv --version
git --version