Fullstack-Multi-Agent-LLM-App-with-CrewAI

An advanced Fullstack-Multi-Agent LLM Application using CrewAI

Goal

To find blog articles and youtube video interviews talking about selected technologies in the selected business areas.

The goal is to create a crew of agents for every request the user sends us. In other words, each time a user request a task (online research about some technology in some business area), we want to create a separate crew of agents to do that.

Use Case:

Find youtube video interviews and blog posts about Generative AI in the customer service area.

How to run?

STEPS:

Project repo: https://github.com/

STEP 01- Create a Poetry environment after opening the repository

In terminal:

cd project_name
pyenv local 3.11.4
poetry install
poetry shell

Create a .env file in the root directory and here is where you will add your confidential api keys. Remember to include:

OPENAI_API_KEY=your_openai_api_key
YOUTUBE_API_KEY=CopyYourApiKeyHere
LANGCHAIN_TRACING_V2=true 
LANGCHAIN_ENDPOINT=https://api.smith.langchain.com 
LANGCHAIN_API_KEY=your_langchain_api_key 
LANGCHAIN_PROJECT=your_project_name
SERPER_API_KEY=yourApiKey

Open 2 terminal windows:

In one, start the backend. In the second, start the front (check how to run that under frontend section)

Now,

cd backend
python api.py

FrontEnd

The Next.js project bootstrapped with create-next-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Inter, a custom Google Font.

Learn More

To learn more about Next.js, take a look at the following resources:

• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

# In second terminal, start the frontend.
 cd frontend
 npm run dev
 See the app in http://localhost:3000.

Techstack Used:

• Python
• Next.js(React,Javascript)
• CrewAI(LangChain)
• Flask backend (python)
• Postman
• Vercel

Final UI