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chore: import upstream snapshot with attribution
2026-07-13 13:36:38 +08:00

36 lines
827 B
Python

"""
Canonical OpenAI starter example for the instructor library.
Demonstrates how to use `instructor.from_provider()` with OpenAI to extract
structured data from natural language into a Pydantic model.
Usage:
export OPENAI_API_KEY=your-api-key
python examples/openai/run.py
"""
import instructor
from pydantic import BaseModel, Field
class UserInfo(BaseModel):
"""Extracted user information."""
name: str = Field(description="The user's full name")
age: int = Field(description="The user's age in years")
client = instructor.from_provider("openai/gpt-4o-mini")
user = client.chat.completions.create(
response_model=UserInfo,
messages=[
{
"role": "user",
"content": "Extract: Jason is 25 years old.",
}
],
)
print(user.model_dump_json(indent=2))