Media Summary: OpenAI recently released the WebRTC interface for their realtime API. It supports Learn how to let your AI agent interact with your website or app using Download the AI model guide to learn more → Learn more about

Client Side Tool Calling With - Detailed Analysis & Overview

OpenAI recently released the WebRTC interface for their realtime API. It supports Learn how to let your AI agent interact with your website or app using Download the AI model guide to learn more → Learn more about Learn how to build a real-time voice agent that listens to your commands and draws on your screen using OpenAI's Realtime API ... Full Step-by-step tutorial for Programmatic Hey everyone, In this video, we are going to understand that what is the difference between

OpenAi's Realtime API is awesome. If you haven't tied it, you should. You can play with it here: ... Today I'm showing you MCP in action — not theory. We'll build and run a Model Context Protocol Large Language Models (LLMs) can interact with external data sources via

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Client Side Tool Calling with the OpenAI WebRTC Realtime API
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Tool Calling VS MCP in AI Agents | Model Context Protocol Explained
Add Real‑Time Data to Your Agent – Server Webhook Tools Explained
Tool Calling Is Not Just Plumbing for AI Agents — Roy Derks
How LLM Tool Calling Works
OpenAI Realtime client/server session handling tool calling
Agents 2: Model Context Protocol (MCP) + LangChain + Ollama — Build a Tool-Calling Client & Server
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Client Side Tool Calling with the OpenAI WebRTC Realtime API

Client Side Tool Calling with the OpenAI WebRTC Realtime API

OpenAI recently released the WebRTC interface for their realtime API. It supports

Give Your Agent Control of the UI – Client Tools & Front-End Actions Explained

Give Your Agent Control of the UI – Client Tools & Front-End Actions Explained

Learn how to let your AI agent interact with your website or app using

What is Tool Calling? Connecting LLMs to Your Data

What is Tool Calling? Connecting LLMs to Your Data

Download the AI model guide to learn more → https://ibm.biz/BdGide Learn more about

Building Voice Agent That Can Draw | Client Side Tool Calling With OpenAI Realtime API

Building Voice Agent That Can Draw | Client Side Tool Calling With OpenAI Realtime API

Learn how to build a real-time voice agent that listens to your commands and draws on your screen using OpenAI's Realtime API ...

How To Do Call Forwarding With ElevenLabs Conversational AI

How To Do Call Forwarding With ElevenLabs Conversational AI

I also show you how to use

Anthropic killed Tool calling

Anthropic killed Tool calling

Full Step-by-step tutorial for Programmatic

Tool Calling VS MCP in AI Agents | Model Context Protocol Explained

Tool Calling VS MCP in AI Agents | Model Context Protocol Explained

Hey everyone, In this video, we are going to understand that what is the difference between

Add Real‑Time Data to Your Agent – Server Webhook Tools Explained

Add Real‑Time Data to Your Agent – Server Webhook Tools Explained

07:10 – Preview of client

Tool Calling Is Not Just Plumbing for AI Agents — Roy Derks

Tool Calling Is Not Just Plumbing for AI Agents — Roy Derks

Tool calling

How LLM Tool Calling Works

How LLM Tool Calling Works

I also explain how

OpenAI Realtime client/server session handling tool calling

OpenAI Realtime client/server session handling tool calling

OpenAi's Realtime API is awesome. If you haven't tied it, you should. You can play with it here: ...

Agents 2: Model Context Protocol (MCP) + LangChain + Ollama — Build a Tool-Calling Client & Server

Agents 2: Model Context Protocol (MCP) + LangChain + Ollama — Build a Tool-Calling Client & Server

Today I'm showing you MCP in action — not theory. We'll build and run a Model Context Protocol

Tool Calling with LangChain

Tool Calling with LangChain

Large Language Models (LLMs) can interact with external data sources via