追踪 Instructor 应用

export LANGSMITH_API_KEY=<your-api-key>
# 对于链接到多个工作区的 LangSmith API 密钥，请设置 LANGSMITH_WORKSPACE_ID 环境变量以指定要使用的工作区。
export LANGSMITH_WORKSPACE_ID=<your-workspace-id>

from openai import OpenAI
from langsmith import wrappers

client = wrappers.wrap_openai(OpenAI())

import instructor

client = instructor.patch(client)

from pydantic import BaseModel


class UserDetail(BaseModel):
    name: str
    age: int


user = client.chat.completions.create(
    model="gpt-5.4-mini",
    response_model=UserDetail,
    messages=[
        {"role": "user", "content": "Extract Jason is 25 years old"},
    ]
)

# 您可以使用 `name` 关键字参数自定义运行名称
@traceable(name="Extract User Details")
def my_function(text: str) -> UserDetail:
    return client.chat.completions.create(
        model="gpt-5.4-mini",
        response_model=UserDetail,
        messages=[
            {"role": "user", "content": f"Extract {text}"},
        ]
    )

my_function("Jason is 25 years old")