Create Completion and Chat Completions

from scale_gp import SGPClient

client = SGPClient(api_key=api_key)

model_parameters = ModelParameters(max_tokens=200, temperature=0.5, top_k=1, top_p=1)

completion = client.completions.create(
    model="gpt-4",
    prompt="Why is the sky blue?",
    account_id=account_id,
    model_parameters=model_parameters,
)

chat_model_parameters = ChatModelParameters(max_tokens=200, temperature=0.5, top_k=1, top_p=1)
message = MessageEgpAPIBackendServerAPIModelsEgpModelsUserMessage(role="user", content="What is the capital of Canada?")

chat_completion = client.chat_completions.create(
    model="gpt-4",
    messages=[
        message
    ],  # messages is a list of historical messages in the conversation, with roles usually alternating between user, assistant and system
    account_id=account_id,
    model_parameters=model_parameters,
    instructions="Answer the question like an elementary school teacher.",
)