Files
AI/참고/instructor-main/examples/caching/lru.py

45 lines
1011 B
Python
Raw Normal View History

2026-05-12 19:40:31 +09:00
import instructor
from openai import OpenAI
from pydantic import BaseModel
import functools
client = instructor.from_openai(OpenAI())
class UserDetail(BaseModel):
name: str
age: int
@functools.lru_cache
def extract(data):
return client.chat.completions.create(
model="gpt-3.5-turbo",
response_model=UserDetail,
messages=[
{"role": "user", "content": data},
],
)
def test_extract():
import time
start = time.perf_counter()
model = extract("Extract jason is 25 years old")
assert model.name.lower() == "jason"
assert model.age == 25
print(f"Time taken: {time.perf_counter() - start}")
start = time.perf_counter()
model = extract("Extract jason is 25 years old")
assert model.name.lower() == "jason"
assert model.age == 25
print(f"Time taken: {time.perf_counter() - start}")
if __name__ == "__main__":
test_extract()
# Time taken: 0.9267581660533324
# Time taken: 1.2080417945981026e-06