import os
import openai
from pydantic import BaseModel
import instructor

client = openai.OpenAI(
    base_url="https://api.together.xyz/v1",
    api_key=os.environ["TOGETHER_API_KEY"],
)


# By default, the patch function will patch the ChatCompletion.create and ChatCompletion.acreate methods. to support response_model parameter
client = instructor.patch(client, mode=instructor.Mode.TOOLS)


# Now, we can use the response_model parameter using only a base model
# rather than having to use the OpenAISchema class
class UserExtract(BaseModel):
    name: str
    age: int


user: UserExtract = client.chat.completions.create(
    model="mistralai/Mixtral-8x7B-Instruct-v0.1",
    response_model=UserExtract,
    messages=[
        {"role": "user", "content": "Extract jason is 25 years old"},
    ],
)  # type: ignore

print(user.model_dump_json(indent=2))
{
    "name": "Jason",
    "age": 25,
}