Build Social Network Argentic AI Data Agents using Python and FastAPI
Build Social Network Argentic AI Data Agents using Python and FastAPI
From Concept to Deployment with Python and FastAPI
About the Book
Discover how to build a complete multi-agent AI application that searches and analyzes content across social media and web platforms like Facebook, Reddit, LinkedIn, Mastodon, Quora, Pinterest, Tumblr, and more. This book walks you step by step through designing, implementing, and orchestrating AI agents in Python, integrating sentiment analysis, and presenting results in a clean, interactive dashboard using FastAPI, HTMX, and Tailwind CSS.
Whether you are a Python developer, AI enthusiast, or software engineer, you'll learn how to create a scalable and maintainable system for real-time data aggregation and analysis.
Bonus:The book comes with the complete Python application, so you can follow along, run the agents, and experiment with your own keywords and dashboards immediately.
About the Author
Table of Contents
- Part I: Introduction & Fundamentals
- Chapter 1: Why Multi-Agent AI?
- Chapter 2: Application Architecture
- Chapter 3: Tools and Technologies
- Part II: Building Your Agents
- Chapter 4: Sentiment Analysis
- Chapter 5: Disqus Agent
- Chapter 6: Facebook Agent
- Chapter 7: LinkedIn Agent
- Chapter 8: Mastodon Agent
- Chapter 9: Pinterest & StumbleUpon
- Chapter 10: Quora Agent
- Chapter 11: Reddit Agent
- Chapter 12: Tumblr Agent
- Part III: Orchestration & Dashboard
- Chapter 13: AgentRegistry & Unified Interface
- Chapter 14: Backend API with FastAPI
- Chapter 15: Frontend Dashboard with HTMX & Tailwind
- Chapter 16: Real-Time Search & Results Aggregation
- Part IV: Deployment & Advanced Topics
- Chapter 17: Running Locally & Testing
- Chapter 18: Deployment Options
- Chapter 19: Scaling Multi-Agent Systems
- Chapter 20: Next Steps & Extensions
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