# Stable (Foundry classic)
pip install openai azure-identity azure-ai-projects==1.0.0

# Preview (Foundry new)
pip install --pre azure-ai-projects azure-identity openai

from azure.ai.projects import AIProjectClient
from azure.identity import DefaultAzureCredential

project = AIProjectClient(
    endpoint="https://<resource-name>.services.ai.azure.com/api/projects/<project-name>",
    credential=DefaultAzureCredential(),
)

# List connections
connections = project.connections.list()
for connection in connections:
    print(f"Connection: {connection.name}")

# Get project properties
properties = project.properties.get()
print(f"Project: {properties.name}")

# Get OpenAI client from project
models = project.get_openai_client(api_version="2024-10-21")

# Create chat completion
response = models.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": "You are a helpful assistant"},
        {"role": "user", "content": "Explain quantum computing in simple terms"},
    ],
)

print(response.choices[0].message.content)

from openai import OpenAI
from azure.identity import DefaultAzureCredential, get_bearer_token_provider

token_provider = get_bearer_token_provider(
    DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default"
)

client = OpenAI(
    base_url="https://<resource-name>.openai.azure.com/openai/v1/",
    api_key=token_provider,
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": "You are a helpful assistant"},
        {"role": "user", "content": "What is the speed of light?"}
    ]
)

print(response.choices[0].message.content)

from azure.ai.contentsafety import ContentSafetyClient
from azure.identity import DefaultAzureCredential

client = ContentSafetyClient(
    endpoint="https://<resource-name>.cognitiveservices.azure.com/",
    credential=DefaultAzureCredential()
)

result = client.analyze_text(
    text="Sample text to analyze"
)
print(result)