Function calling (also known as tool calling) provides a powerful and flexible way for OpenAI models to interface with external systems and access data outside their training data. This guide shows how …

Instead of just generating text responses, LLMs can understand when to call specific functions and provide the necessary parameters to execute real-world actions.

Function calling is the ability to reliably connect LLMs to external tools to enable effective tool usage and interaction with external APIs. LLMs like GPT-4 and GPT-3.5 have been fine-tuned to detect when a …

Define tool functions as callback functions to be called when model requests them in response. Normally, these functions would either retrieve data from a database, or call another API endpoint, or …

Apr 16, 2025 · With Semantic Kernel, we simplify the process of using function calling by automatically describing your functions and their parameters to the model and then handling the back-and-forth …

Mar 26, 2024 · In programming, function calling is when you ask a program to run a specific block of code that you've defined elsewhere. It's like giving a command to execute a particular task, and it …

2 days ago · Function calling, also known as tool use, provides the LLM with definitions of external tools (for example, a get_current_weather function).

Nov 24, 2025 · Function calling has 3 primary use cases: Augment Knowledge: Access information from external sources like databases, APIs, and knowledge bases. Extend Capabilities: Use external tools …

Oct 9, 2025 · It connects LLMs to real applications – Function calling is what turns an LLM from a text generator into a real problem-solver that powers tools, automations, and agents. For all their …

May 31, 2025 · In modern software development and AI integrations, two terms are becoming increasingly important: Function Calling and Tool Calling. While they may sound similar, they refer to …