gpt-4

Last updated 12 hours ago

gpt-4

This documentation is valid for the following list of our models:

gpt-4

Model Overview

The model represents a significant leap forward in conversational AI technology. It offers enhanced understanding and generation of natural language, capable of handling complex and nuanced dialogues with greater coherence and context sensitivity. This model is designed to mimic human-like conversation more closely than ever before.

How to Make a Call

Setup You Can’t Skip

: Visit the Apilaplas API website and create an account (if you don’t have one yet). : After logging in, navigate to your account dashboard and generate your API key. Ensure that key is enabled on UI.

Copy the code example

At the bottom of this page, you'll find that shows how to structure the request. Choose the code snippet in your preferred programming language and copy it into your development environment.

Modify the code example

Replace <YOUR_LAPLASAPI_KEY> with your actual Apilaplas API key from your account. Insert your question or request into the content field—this is what the model will respond to.

^_(Optional) Adjust other optional parameters if needed

Only model and messages are required parameters for this model (and we’ve already filled them in for you in the example), but you can include optional parameters if needed to adjust the model’s behavior. Below, you can find the corresponding , which lists all available parameters along with notes on how to use them.

Run your modified code

Run your modified code in your development environment. Response time depends on various factors, but for simple prompts it rarely exceeds a few seconds.

If you need a more detailed walkthrough for setting up your development environment and making a request step by step — feel free to use our .

API Schema

Code Example (Python)

import requests

response = requests.post(
    "https://api.apilaplas.com/v1/chat/completions",
    headers={
        "Content-Type":"application/json", 

        # Insert your LAPLAS API Key instead of <YOUR_LAPLASAPI_KEY>:
        "Authorization":"Bearer <YOUR_LAPLASAPI_KEY>",
        "Content-Type":"application/json"
    },
    json={
        "model":"gpt-4",
        "messages":[
            {
                "role":"user",

                # Insert your question for the model here, instead of Hello:
                "content":"Hello"
            }
        ]
    }
)

data = response.json()
print(data)

Response

{'id': 'chatcmpl-BKKWkzVpUFHEDbw7MlOsqBIbm9Vi2', 'object': 'chat.completion', 'choices': [{'index': 0, 'finish_reason': 'stop', 'logprobs': None, 'message': {'role': 'assistant', 'content': 'Hello! How can I assist you today?', 'refusal': None, 'annotations': []}}], 'created': 1744185166, 'model': 'gpt-4-0613', 'usage': {'prompt_tokens': 504, 'completion_tokens': 1260, 'total_tokens': 1764, 'prompt_tokens_details': {'cached_tokens': 0, 'audio_tokens': 0}, 'completion_tokens_details': {'reasoning_tokens': 0, 'audio_tokens': 0, 'accepted_prediction_tokens': 0, 'rejected_prediction_tokens': 0}}, 'system_fingerprint': None}

Previousgpt-3.5-turbo Nextgpt-4-preview

Last updated 12 hours ago

This documentation is valid for the following list of our models:

gpt-4

Model Overview

How to Make a Call

Setup You Can’t Skip

Copy the code example

At the bottom of this page, you'll find that shows how to structure the request. Choose the code snippet in your preferred programming language and copy it into your development environment.

Modify the code example

Replace <YOUR_LAPLASAPI_KEY> with your actual Apilaplas API key from your account. Insert your question or request into the content field—this is what the model will respond to.

^_(Optional) Adjust other optional parameters if needed

Run your modified code

Run your modified code in your development environment. Response time depends on various factors, but for simple prompts it rarely exceeds a few seconds.

If you need a more detailed walkthrough for setting up your development environment and making a request step by step — feel free to use our .

API Schema

Code Example (Python)

import requests

response = requests.post(
    "https://api.apilaplas.com/v1/chat/completions",
    headers={
        "Content-Type":"application/json", 

        # Insert your LAPLAS API Key instead of <YOUR_LAPLASAPI_KEY>:
        "Authorization":"Bearer <YOUR_LAPLASAPI_KEY>",
        "Content-Type":"application/json"
    },
    json={
        "model":"gpt-4",
        "messages":[
            {
                "role":"user",

                # Insert your question for the model here, instead of Hello:
                "content":"Hello"
            }
        ]
    }
)

data = response.json()
print(data)

Response

{'id': 'chatcmpl-BKKWkzVpUFHEDbw7MlOsqBIbm9Vi2', 'object': 'chat.completion', 'choices': [{'index': 0, 'finish_reason': 'stop', 'logprobs': None, 'message': {'role': 'assistant', 'content': 'Hello! How can I assist you today?', 'refusal': None, 'annotations': []}}], 'created': 1744185166, 'model': 'gpt-4-0613', 'usage': {'prompt_tokens': 504, 'completion_tokens': 1260, 'total_tokens': 1764, 'prompt_tokens_details': {'cached_tokens': 0, 'audio_tokens': 0}, 'completion_tokens_details': {'reasoning_tokens': 0, 'audio_tokens': 0, 'accepted_prediction_tokens': 0, 'rejected_prediction_tokens': 0}}, 'system_fingerprint': None}