Python Integration

pip install openai

from openai import OpenAI
 
# Initialize the client with the MakeHub endpoint
client = OpenAI(
    api_key="YOUR_MAKEHUB_API_KEY",  # Replace with your MakeHub API key
    base_url="https://api.makehub.ai/v1"  # MakeHub endpoint
)
 
# Example completion request
response = client.chat.completions.create(
    model="meta/llama-3-70b-instruct",  # Model available on MakeHub
    messages=[
        {"role": "system", "content": "You are a helpful AI assistant."},
        {"role": "user", "content": "Explain how machine learning works in simple terms."}
    ]
)
 
# Display the response
print(response.choices[0].message.content)

from openai import OpenAI
 
# Initialize the client with the MakeHub endpoint
client = OpenAI(
    api_key="YOUR_MAKEHUB_API_KEY",
    base_url="https://api.makehub.ai/v1"
)
 
# Example streaming request
stream = client.chat.completions.create(
    model="meta/llama-3-70b-instruct",
    messages=[
        {"role": "system", "content": "You are a helpful AI assistant."},
        {"role": "user", "content": "Write a short poem about artificial intelligence."}
    ],
    stream=True
)
 
# Display the response as it arrives
for chunk in stream:
    if chunk.choices[0].delta.content is not None:
        print(chunk.choices[0].delta.content, end="", flush=True)
print()

from openai import OpenAI
 
# Initialize the client with the MakeHub endpoint
client = OpenAI(
    api_key="YOUR_MAKEHUB_API_KEY",
    base_url="https://api.makehub.ai/v1"
)
 
# Define available tools
tools = [
    {
        "type": "function",
        "function": {
            "name": "get_weather",
            "description": "Get the current weather for a given location",
            "parameters": {
                "type": "object",
                "properties": {
                    "location": {
                        "type": "string",
                        "description": "The city and country, e.g. 'Paris, France'"
                    }
                },
                "required": ["location"]
            }
        }
    }
]
 
# Example request with function calling
response = client.chat.completions.create(
    model="openai/gpt-4o",  # A model supporting function calling
    messages=[
        {"role": "user", "content": "What's the weather like in Paris today?"}
    ],
    tools=tools
)
 
# Display the response
print(response.choices[0].message.content)
print(response.choices[0].message.tool_calls)