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Jason Liu
38 lines
902 B
Python
38 lines
902 B
Python
import os
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import instructor
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from openai import OpenAI
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from pydantic import BaseModel
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# By default, the patch function will patch the ChatCompletion.create and ChatCompletion.acreate methods. to support response_model parameter
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client = instructor.patch(
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OpenAI(
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base_url="https://api.endpoints.anyscale.com/v1",
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api_key=os.environ["ANYSCALE_API_KEY"],
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),
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mode=instructor.Mode.JSON_SCHEMA,
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)
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# Now, we can use the response_model parameter using only a base model
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# rather than having to use the OpenAISchema class
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class UserExtract(BaseModel):
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name: str
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age: int
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user: UserExtract = client.chat.completions.create(
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model="mistralai/Mixtral-8x7B-Instruct-v0.1",
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response_model=UserExtract,
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messages=[
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{"role": "user", "content": "Extract jason is 25 years old"},
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],
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) # type: ignore
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print(user)
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{
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"name": "Jason",
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"age": 25,
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}
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