Build a multi-agent AI news assistant using Open AI swarm and Llama...

Build a multi-agent AI news assistant using Open AI swarm and Llama 3.2 running locally on your computer (100% free and open source):

1. Install and import necessary Libraries

@getreflex for building the web app in Python
@OpenAI Swarm for multi-agent orchestration
@ollama for running llama 3.2 locally

Also:

• Load environment variables
• Initialize Swarm client
• Install and run Llama 3.2 using Ollama

2. Create News Search Function

The News Search Agent queries DuckDuckGo for the latest news on a given topic, returning up to three articles with their titles, URLs, and summaries.

3. Create 3 different agents:

• The News Search Agent will search for news.
• The News Synthesis Agent will review various sources, extract key themes, and construct a unified narrative.
• The News Summary Agent will provide concise summaries.

4. Let's define the State [Backend]

The State class handles the application's workflow, from topic initialization to news processing. It resets states, processes news with search, synthesis, and summary agents asynchronously, and manages errors efficiently.

5. Let’s Build the Frontend (UI)

The news_page function creates a user-friendly interface with:

• A topic input field for entering news topics.
• A "Process News" button with a loading indicator.
• A results section to display the summary and copy it to the clipboard.

6. Finally setup the app

Initializes the Reflex app and adds the main page to it, making the app functional and ready to run.

7. Here is working Application demo using Reflex

The code for the app is Open Source, Find the GitHub repo below:

Check out the code and give it a star if you like it!

github.com/Sumanth077/new…

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