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# /// script
# requires-python = ">=3.9"
# dependencies = [
# "anthropic",
# ]
#
# [tool.uv.sources]
# anthropic = { path = "../", editable = true }
# ///
import pydantic
import anthropic
class Order(pydantic.BaseModel):
product_name: str
price: float
quantity: int
client = anthropic.Anthropic()
prompt = """
Extract the product name, price, and quantity from this customer message:
"Hi, I’d like to order 2 packs of Green Tea for 5.50 dollars each."
"""
parsed_message = client.beta.messages.parse(
model="claude-sonnet-4-5",
messages=[{"role": "user", "content": prompt}],
max_tokens=1024,
output_format=Order,
)
print(parsed_message.parsed_output) # Order(product_name='Green Tea', price=5.5, quantity=2)
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