Tool Calling is like your assistant making a quick phone call to an expert to get something done. Think of it as a bridge that connects your chatbot or AI assistant to an external service, like booking an appointment, fetching the weather, or even ordering a pizza.
It’s a way to extend the assistant's brainpower by pulling in data or performing actions outside of its own capabilities. When the assistant recognizes that it needs extra help, it triggers a "tool" to do the heavy lifting.
Tool Calling works in a few simple steps:
Here’s where Tool Calling shines:
At its core, Tool Calling is all about well-structured communication. Here’s the gist:
Define the Tool: A tool has a name, type, and the parameters it needs. It also includes messages that the assistant uses to talk to the user during the tool call.
Example:
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Fetches weather data for a location",
"parameters": {
"type": "object",
"properties": {
"location": { "type": "string" }
},
"required": ["location"]
}
},
"messages": [
{
"type": "request-start",
"content": "Let me grab the weather info for you."
},
{
"type": "request-complete",
"content": "Here's the weather for your location."
},
{
"type": "request-failed",
"content": "Sorry, I couldn't get the weather right now."
}
]
}