Agentic AI

Function Calling

Function calling is a standardized protocol through which an LLM generates structured function calls instead of free text. The model recognizes which function is needed and delivers parameters in the correct JSON format. IJONIS uses function calling as a building block for reliable AI agents in production environments.

Why does this matter?

Function calling makes AI agents reliable enough for production use. Instead of parsing unstructured text responses, your systems receive exact, machine-readable calls. This eliminates parsing errors and enables safe AI integration into business-critical workflows like procurement, invoice verification, or CRM maintenance.

How IJONIS uses this

We implement function calling via the OpenAI standard with LangChain abstractions and Pydantic validation. Every function receives a typed schema, automatic parameter checking, and retry logic — so your agents work stably even with unexpected inputs.

Frequently Asked Questions

What is the difference between function calling and tool calling?
Function calling is the protocol — the technical standard by which an LLM generates structured calls. Tool calling is the broader concept of an agent using external tools. Function calling is the most common implementation of tool calling.
Do all LLMs support function calling?
Not all, but all leading models: GPT-4, Claude, Gemini, and Mistral Large natively support function calling. Open-source models like Llama can also learn function calling through specialized fine-tuning.

Want to learn more?

Find out how we apply this technology for your business.