structured_outputs.py — anthropic-sdk-python Source File

Architecture documentation for structured_outputs.py, a python file in the anthropic-sdk-python codebase. 2 imports, 0 dependents.

File python 2 imports 1 classes

Entity Profile

Dependency Diagram

graph LR
  7cd3a254_17f6_7e3a_8041_dda9d5646798["structured_outputs.py"]
  21de8837_7dae_989e_fdbb_1415c0770d90["pydantic"]
  7cd3a254_17f6_7e3a_8041_dda9d5646798 --> 21de8837_7dae_989e_fdbb_1415c0770d90
  d10c5377_2939_0f0b_cc44_8759393f2853["anthropic"]
  7cd3a254_17f6_7e3a_8041_dda9d5646798 --> d10c5377_2939_0f0b_cc44_8759393f2853
  style 7cd3a254_17f6_7e3a_8041_dda9d5646798 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

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.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)