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 …

4 days ago · 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 …

Function calling empowers LLMs to trigger backend functions via structured JSON, enabling seamless AI integration with applications. Automate workflows and more!

5 days ago · Function calling enables AI models to interact with external systems, access real-time information, and perform actions beyond their training data. This comprehensive guide covers …

Function calling is an important ability for building LLM-powered chatbots or agents that need to retrieve context for an LLM or interact with external tools by converting natural language into API calls.

Feb 28, 2026 · Function calling lets a large language model suggest actions — not just write text. Instead of replying with a sentence, the model can return structured JSON that says: Which function …

Feb 27, 2026 · Learn how to implement function calling with Microsoft Foundry Agents. Define functions, handle requests, and execute custom code for AI-powered workflows. (classic)

Just like the tools of an Agent, function-calling gives the model the capacity to take an action on its environment. However, the function calling capacity is learned by the model, and relies less on …

May 6, 2025 · Function calling is a capability that enables LLMs to go beyond simple text generation by interacting with external tools and real-world applications.

Function calling is a model capability in which the model chooses a named function or tool and outputs structured arguments (typically in JSON format) according to a defined schema, so that the …