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To use Instructor to generate structured outputs, you need to wrap the OpenAI client with both Instructor and Braintrust. It’s important that you call Braintrust’s wrap_openai first, because it uses low-level usage info and headers returned by the OpenAI call to log metrics to Braintrust.
trace-instructor.py
import instructor
from braintrust import init_logger, load_prompt, wrap_openai

logger = init_logger(project="Your project name")

def run_prompt(text: str):
    # Replace with your project name and slug
    prompt = load_prompt("Your project name", "Your prompt name")

    # wrap_openai will make sure the client tracks usage of the prompt.
    client = instructor.patch(wrap_openai(OpenAI()))

    # Render with parameters
    return client.chat.completions.create(**prompt.build(input=text), response_model=MyResponseModel)