#29- OpenAI Agent SDK Tools Calls with MongoDB

Mastering OpenAI Agent Tools & MongoDB: Persistent Memory for AI Agents (AI for Everyone #29)

Welcome to Lecture 29 of our "AI for Everyone" series!

In this deep dive, we're going hands-on with the OpenAI Agent SDK to truly understand and implement Tools Calls with MongoDB. This is crucial for building powerful, intelligent AI agents that can interact with external services and maintain persistent memory.

You'll learn:

- How to set up and configure the OpenAI Agent SDK.

- Defining and implementing custom tools for your AI agents.

- Making effective tool calls to interact with external APIs and services.

- Integrating MongoDB to provide long-term memory and data storage for your AI agents.

- Best practices for managing AI agent memory and context using MongoDB Atlas.

- Solving common challenges with OpenAI agent tool calling errors and data persistence.

Whether you're building a customer support agent, a research assistant, or automating complex workflows, mastering tool calls with a robust database like MongoDB is essential. Get ready to supercharge your AI agent development!

Chapters:

- Introduction to OpenAI Agent SDK & MongoDB Integration

- Understanding AI Agent Tools and Function Calling

- Setting up MongoDB for Persistent AI Agent Memory

- Implementing Custom Tool Calls with OpenAI Agents

- Storing & Retrieving Agent Conversations in MongoDB

- Debugging Common Tool Call Issues

- Real-World Use Cases & Next Steps

- Q&A / Conclusion

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Видео #29- OpenAI Agent SDK Tools Calls with MongoDB канала Naveed Sarwar