🚀 Transform Your AI Workflow with Async AI Agents | Run AI at the Speed of Thought
Learn how to process thousands of AI tasks while you sleep with near-zero code changes! Make any AI task async and 10x faster than traditional implementations.
Star the repo: https://github.com/MervinPraison/Prai...
Documentation: https://docs.praison.ai/features/async
Code: https://mer.vin/2025/01/async-ai-agents/
✨ What You'll Learn:
How to implement asynchronous AI agents
Step-by-step guide to parallel task processing
Creating efficient search and summary agents
Performance optimization techniques
🛠️ Requirements:
OpenAI API Key
Python environment
Basic understanding of async programming
📦 Packages Used:
PraisonAI
DuckDuckGo-Search
AsyncIO
💻 Resources:
OpenAI API: https://platform.openai.com
🔑 Key Features:
Automatic retry handling
Smart queue management
Non-blocking operations
Parallel task processing
Efficient resource utilization
💡 Use Cases:
Batch processing AI tasks
Parallel web searches
Content aggregation
Data analysis
Research automation
🔴 Common Issues Solved:
API timeouts
Rate limiting errors
Blocking API calls
Manual error handling
Sequential processing bottlenecks
0:00 - Introduction to async AI agents
0:48 - What is asynchronous execution pattern
1:27 - Creating a Search tool demo
2:21 - Getting started with PraisonAI setup
3:31 - Step 1: Creating async Search tool
4:20 - Step 2: Creating AI agents
4:53 - Step 3: Creating tasks
6:32 - Step 4: Starting the agents
7:42 - Summary of implementation steps
8:00 - Demo execution and results
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⚠️ Disclaimer: This video is for educational purposes. Make sure to follow API providers' terms of service and rate limits.
❓ Questions? Drop them in the comments below!
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