Implementation:Openai Openai python Shared Function Definition
| Knowledge Sources | |
|---|---|
| Domains | API_Types, Python |
| Last Updated | 2026-02-15 00:00 GMT |
Overview
Concrete tool for defining a function that the model can call provided by the openai-python SDK.
Description
FunctionDefinition is a Pydantic BaseModel that describes a callable function for the OpenAI function calling feature. It requires a name field (alphanumeric with underscores and dashes, max 64 characters). Optional fields include description (used by the model to determine when and how to call the function), parameters (a FunctionParameters JSON Schema object describing accepted arguments), and strict (a boolean that, when True, enforces strict schema adherence using Structured Outputs).
Usage
Import FunctionDefinition when constructing tool definitions for chat completions or responses API calls that use function calling.
Code Reference
Source Location
- Repository: openai-python
- File: src/openai/types/shared/function_definition.py
Signature
class FunctionDefinition(BaseModel):
name: str
description: Optional[str] = None
parameters: Optional[FunctionParameters] = None
strict: Optional[bool] = None
Import
from openai.types.shared import FunctionDefinition
I/O Contract
Fields
| Name | Type | Required | Description |
|---|---|---|---|
| name | str | Yes | The name of the function. Must be a-z, A-Z, 0-9, underscores or dashes, max 64 characters. |
| description | Optional[str] | No | Description of what the function does, used by the model to choose when and how to call it. |
| parameters | Optional[FunctionParameters] | No | The parameters the function accepts, described as a JSON Schema object. Omitting defines a function with an empty parameter list. |
| strict | Optional[bool] | No | Whether to enable strict schema adherence. When True, the model follows the exact schema in parameters. Only a subset of JSON Schema is supported in strict mode. |
Usage Examples
from openai import OpenAI
from openai.types.shared import FunctionDefinition
client = OpenAI()
# Define a function for the model to call
weather_function = FunctionDefinition(
name="get_weather",
description="Get the current weather for a given location",
parameters={
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "City and state, e.g. San Francisco, CA",
},
"unit": {
"type": "string",
"enum": ["celsius", "fahrenheit"],
},
},
"required": ["location"],
},
strict=True,
)
# Use in a chat completion with tools
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "What's the weather in Paris?"}],
tools=[{"type": "function", "function": weather_function.model_dump()}],
)