Build Your First AI Agent
Congratulations! You've built your first AI agent
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🎉
You Did It!
You've successfully built and tested your first AI agent. This is the foundation for creating more complex agentic systems.
📋 Quick Reference Checklist
1. Install LangChain
pip install langchain openai
2. Define Tools
Use @tool decorator with clear descriptions
3. Initialize LLM
Choose GPT-4 for reasoning, GPT-3.5 for speed
4. Create Agent
Use create_react_agent for ReAct pattern
5. Test Thoroughly
Try simple and complex queries
6. Monitor Usage
Track tokens and costs in production
⚠️ Common Issues & Solutions
❌ Agent not calling tools
✅ Make tool descriptions more specific and relevant
❌ Wrong tool selected
✅ Add examples in tool docstrings
❌ High token usage
✅ Reduce prompt length or use streaming
❌ Slow responses
✅ Use GPT-3.5-turbo or cache common queries
🚀 Next Steps
- →Add more tools - file operations, API calls, database queries
- →Implement memory - let your agent remember past conversations
- →Try other frameworks - AutoGPT, BabyAGI, CrewAI
- →Build a multi-agent system - agents that collaborate
- →Deploy to production - add error handling, monitoring, rate limiting
📚 Learn More
• LangChain Docs: python.langchain.com
• ReAct Paper: Understanding the reasoning + action pattern
• OpenAI Cookbook: Agent examples and best practices
• Community: LangChain Discord, Reddit r/LangChain