Why AI Models Don't Need Tool Calling (And Why RooCode Proves It)

To try everything Brilliant has to offer—free—for a full 30 days, visit https://brilliant.org/GosuCoder/ . You’ll also get 20% off an annual premium subscription. 00:00 - Introduction: Local Models and Tool Calling 00:34 - Demystifying Tool Calling: API vs. Text Tags 01:50 - How API-Based Function Calling Works 03:40 - Pros of Structured API-Based Calls 04:56 - Why Framework Tool Calls Slow You Down 05:52 - Alternative Method: Tag-Based Tool Calls 06:30 - RooCode’s XML Tagging Approach Explained 08:50 - Live Demo: My Production Tag-Based System 11:39 - Comparing Tag-Based vs API-Based Methods 12:36 - Latency vs Tokens: Key Trade-Offs 13:02 - Reliability & Tool Call Errors Explained 13:53 - Avoiding Vendor Lock-In with Tag-Based Calls 14:16 - Quick Sponsor Break 15:14 - Top Reasons to Use Tag-Based Tool Calling 16:00 - Downsides & Challenges of Tag-Based Approach 17:25 - Final Thoughts & Your Opinion RooCode is amazing, in this video I attempt to explain how it does its tool calling, and how it compares to using it via the OpenAI client. My Links 🔗 👉🏻 Subscribe: https://www.youtube.com/@GosuCoder 👉🏻 Twitter/X: https://x.com/GosuCoder 👉🏻 LinkedIn: https://www.linkedin.com/in/adamwilliamlarson/ 👉🏻 Discord: https://discord.gg/YGS4AJ2MxA My computer specs GPU: 7900xtx CPU: 7800x3d RAM: DDR5 6000Mhz Media/Sponsorship Inquiries ✅ [email protected] This video was sponsored by Brilliant