Announcing Anthropic Support¶
A special shoutout to Shreya for her contributions to the anthropic support. As of now, all features are operational with the exception of streaming support.
For those eager to experiment, simply patch the client with ANTHROPIC_JSON
, which will enable you to leverage the anthropic
client for making requests.
Missing Features
Just want to acknowledge that we know that we are missing partial streaming and some better re-asking support for XML. We are working on it and will have it soon.
from pydantic import BaseModel
from typing import List
import anthropic
import instructor
# Patching the Anthropics client with the instructor for enhanced capabilities
anthropic_client = instructor.from_openai(
create=anthropic.Anthropic().messages.create,
mode=instructor.Mode.ANTHROPIC_JSON
)
class Properties(BaseModel):
name: str
value: str
class User(BaseModel):
name: str
age: int
properties: List[Properties]
user_response = anthropic_client(
model="claude-3-haiku-20240307",
max_tokens=1024,
max_retries=0,
messages=[
{
"role": "user",
"content": "Create a user for a model with a name, age, and properties.",
}
],
response_model=User,
) # type: ignore
print(user_response.model_dump_json(indent=2))
"""
{
"name": "John",
"age": 25,
"properties": [
{
"key": "favorite_color",
"value": "blue"
}
]
}
We're encountering challenges with deeply nested types and eagerly invite the community to test, provide feedback, and suggest necessary improvements as we enhance the anthropic client's support.