Function Calling

Simon BudziakCTO
Function Calling (also known as "Tool Use" or "Tool Calling") is a critical capability that enables large language models to interact with external systems, APIs, and databases by generating structured requests to invoke predefined functions. This transforms LLMs from pure text generators into action-oriented agents that can read sensors, query databases, send emails, or control software.
Here's how function calling works in practice:
Here's how function calling works in practice:
- 1. Function Definition: The developer provides the model with a schema describing available functions (name, description, parameters). For example:
get_weather(location: string, units: string). - 2. User Query: The user asks a question that requires external data: "What's the weather in Warsaw?"
- 3. Function Selection: The model recognizes it needs external information and generates a structured function call:
get_weather(location="Warsaw", units="celsius"). - 4. External Execution: Your application intercepts this call, executes the actual API request, and returns the result to the model.
- 5. Final Response: The model incorporates the function result into a natural language answer: "It's currently 15°C and partly cloudy in Warsaw."
- Access Real-Time Data: Pull stock prices, flight information, or inventory levels.
- Modify Systems: Create calendar events, update CRM records, or trigger workflows.
- Perform Calculations: Offload complex math, simulations, or specialized computations to deterministic code.
- Multi-Step Reasoning: Chain multiple function calls together to solve complex tasks autonomously.
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