Intermediate ⏱️ 7 min

πŸŽ“ What is Function Calling?

Enabling LLMs to interact with external tools and APIs through structured function definitions

What is Function Calling?

Function Calling (also called Tool Use) allows language models to request execution of predefined functions with structured arguments. Instead of generating text responses, the model outputs structured function calls that your code can execute.

How It Works

  1. Define Functions: Describe available tools with names, descriptions, and parameter schemas
  2. User Query: Send user message with function definitions
  3. Model Response: Model returns function name + arguments (not the result!)
  4. Execute: Your code runs the function
  5. Return Result: Send result back to model for final response

Example Flow

User: "What's the weather in Tokyo?"
    ↓
Model: {"function": "get_weather", "args": {"location": "Tokyo"}}
    ↓
Your Code: calls real weather API β†’ "25Β°C, sunny"
    ↓
Model: "The weather in Tokyo is 25Β°C and sunny."

Defining Functions

functions = [{
    "name": "get_weather",
    "description": "Get current weather for a location",
    "parameters": {
        "type": "object",
        "properties": {
            "location": {
                "type": "string",
                "description": "City name"
            },
            "unit": {
                "type": "string",
                "enum": ["celsius", "fahrenheit"]
            }
        },
        "required": ["location"]
    }
}]

Common Use Cases

Use CaseExample Functions
Data Retrievalsearch_database, get_user_info
Actionssend_email, create_ticket
Calculationscalculate_price, convert_currency
External APIsget_weather, search_web

Provider Comparison

ProviderFeature NameMultiple Calls
OpenAIFunction Calling / ToolsYes (parallel)
AnthropicTool UseYes
GoogleFunction CallingYes
Open SourceVaries by modelDepends

Best Practices

  1. Clear descriptions: Help model understand when to use each function
  2. Validate arguments: Never trust model output blindly
  3. Handle errors: Return useful error messages to model
  4. Limit scope: Only expose necessary functions
  5. Test edge cases: Model may call wrong function

Parallel Function Calling

Modern APIs support multiple simultaneous calls:

User: "What's the weather in Tokyo and Paris?"
Model: [
    {"function": "get_weather", "args": {"location": "Tokyo"}},
    {"function": "get_weather", "args": {"location": "Paris"}}
]

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