structured_outputs_function_calling.py

import os

import azure.identity
import openai
import rich
from dotenv import load_dotenv
from pydantic import BaseModel

# Setup the OpenAI client to use either Azure, OpenAI.com, or Ollama API
load_dotenv(override=True)
API_HOST = os.getenv("API_HOST", "github")

if API_HOST == "azure":
    token_provider = azure.identity.get_bearer_token_provider(
        azure.identity.DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default"
    )
    client = openai.OpenAI(
        base_url=os.environ["AZURE_OPENAI_ENDPOINT"],
        api_key=token_provider,
    )
    MODEL_NAME = os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT"]

elif API_HOST == "ollama":
    client = openai.OpenAI(base_url=os.environ["OLLAMA_ENDPOINT"], api_key="nokeyneeded")
    MODEL_NAME = os.environ["OLLAMA_MODEL"]

elif API_HOST == "github":
    client = openai.OpenAI(base_url="https://models.github.ai/inference", api_key=os.environ["GITHUB_TOKEN"])
    MODEL_NAME = os.getenv("GITHUB_MODEL", "openai/gpt-4o")

else:
    client = openai.OpenAI(api_key=os.environ["OPENAI_KEY"])
    MODEL_NAME = os.environ["OPENAI_MODEL"]


class GetDeliveryDate(BaseModel):
    order_id: str


response = client.chat.completions.create(
    model=MODEL_NAME,
    messages=[
        {"role": "system", "content": "You're a customer support bot. Use the tools to assist the user."},
        {"role": "user", "content": "Hi, can you tell me the delivery date for my order #12345?"},
    ],
    tools=[openai.pydantic_function_tool(GetDeliveryDate)],
)

rich.print(response.choices[0].message.tool_calls[0].function)