GPT-5 code

example1.py

import os

import openai
from azure.identity import DefaultAzureCredential, get_bearer_token_provider

client = openai.AzureOpenAI(
    api_version=os.environ["AZURE_OPENAI_VERSION"],
    azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"],
    azure_ad_token_provider=get_bearer_token_provider(DefaultAzureCredential(),
        "https://cognitiveservices.azure.com/.default"),
)

response = client.chat.completions.create(
    model=os.environ["AZURE_OPENAI_DEPLOYMENT"],
    messages=[
        {"role": "user", "content": "Explain beta-reduction in lambda calculus."},
    ],
    reasoning_effort="minimal",
    verbosity="low"
)
print(response.choices[0].message.content)

example2.py

import os

import openai
from azure.identity import DefaultAzureCredential, get_bearer_token_provider
from pydantic import BaseModel

client = openai.AzureOpenAI(
    api_version=os.environ["AZURE_OPENAI_VERSION"],
    azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"],
    azure_ad_token_provider=get_bearer_token_provider(DefaultAzureCredential(),
        "https://cognitiveservices.azure.com/.default"),
)

class MathExplanation(BaseModel):
    steps: list[str]
    answer: int

completion = client.beta.chat.completions.parse(
    model=os.environ["AZURE_OPENAI_DEPLOYMENT"],
    messages=[
        {"role": "system", "content": "You answer math problems."},
        {"role": "user", "content": "What is 23 * 7? Show your steps."},
    ],
    response_format=MathExplanation,
)

message = completion.choices[0].message
if message.refusal:
    print(message.refusal)
else:
    print(message.parsed)

gpt5.py

import os

import azure.identity
import openai
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.AzureOpenAI(
        api_version=os.environ["AZURE_OPENAI_VERSION"],
        azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"],
        azure_ad_token_provider=token_provider,
    )
    MODEL_NAME = os.environ["AZURE_OPENAI_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-5")

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


response = client.chat.completions.create(
    model=MODEL_NAME,
    messages=[
        {"role": "user", "content": "Explain beta-reduction in lambda calculus."},
    ],
    reasoning_effort="minimal",
    verbosity="low"
)
print(response.choices[0].message.content)


class MathExplanation(BaseModel):
    steps: list[str]
    answer: int

completion = client.beta.chat.completions.parse(
    model=MODEL_NAME,
    messages=[
        {"role": "system", "content": "You answer math problems."},
        {"role": "user", "content": "What is 23 * 7? Show your steps."},
    ],
    response_format=MathExplanation,
)

message = completion.choices[0].message
if message.refusal:
    print(message.refusal)
else:
    print(message.parsed)