from openai import OpenAI

client = OpenAI(
    base_url="https://ai.nahcrof.com/v1",
    api_key="api-key-here"
)
response = client.chat.completions.create(
    model="MODEL-FROM-LIST",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

from openai import OpenAI

client = OpenAI(
    base_url="https://ai.nahcrof.com/v1",
    api_key="api-key-here"
)

response = client.chat.completions.create(
    model="MODEL-FROM-LIST",
    messages=[
        {"role": "user", "content": "Howdy there! How are you?"}
    ],
    stream=True  # Enable streaming
)

for chunk in response:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
print()

from openai import OpenAI

client = OpenAI(
    base_url="https://ai.nahcrof.com/v1",
    api_key="api-key-here"
)

response = client.chat.completions.create(
    model="MODEL-FROM-LIST",
    messages=[
        {"role": "user", "content": "Howdy there! How are you?"}
    ],
    stream=True  # Enable streaming
)

for chunk in response:
    try:
        if chunk.choices and chunk.choices[0].delta.reasoning_content:
            print(chunk.choices[0].delta.reasoning_content, end="", flush=True)
    except AttributeError:
        pass
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
print()

from openai import OpenAI
import json

client = OpenAI(
    base_url="https://ai.nahcrof.com/v1",
    api_key="api-key-here"
)

tools = [{ # tootally original example
    "type": "function",
    "function": {
        "name": "get_horoscope",
        "description": "Get today's horoscope for an astrological sign.",
        "parameters": {
            "type": "object",
            "properties": {
                "sign": {
                    "type": "string",
                    "description": "An astrological sign like Taurus or Aquarius",
                },
            },
            "required": ["sign"],
            "additionalProperties": False,
        },
        "strict": True,
    },
}]

def get_horoscope(sign):
    return f"{sign}: Next Tuesday you will befriend a baby otter."

messages = [
    {"role": "user", "content": "What is my horoscope? I am an Aquarius."}
]

stream = client.chat.completions.create(
    model="MODEL-FROM-LIST",
    messages=messages,
    tools=tools,
    stream=True
)

for chunk in stream:
    delta = chunk.choices[0].delta

    if delta.content:
        print(delta.content, end="", flush=True)

    if delta.tool_calls:
        for tc in delta.tool_calls:
            print(f"\nTool call: {tc.function.name}")
            if tc.function.arguments:
                print(f"Args: {tc.function.arguments}")

from openai import OpenAI

client = OpenAI(
    base_url="https://ai.nahcrof.com/v1",
    api_key="api-key-here"
)

response = client.chat.completions.create(
    model="llama-4-scout", # vision models are labeled in the pricing page with the (vision) tag
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "What is in this image?"},
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://files.nahcrof.com/file/crofai-black.png",
                    },
                },
            ],
        }
    ],
    stream=True
)

for chunk in response:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
print()