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Introduction

Our platform allows you to integrate our Hmodels (baby1, daddy1, mommy1) into your projects using OpenAI Compatibility. You can interact with these models using the official openai package.

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Generate an API Key

Before you start, you need to generate an API key from our platform. To do so, visit:

👉 Generate an API Key

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Base URL

All requests must be sent to:

https://api.humiris.ai/api/openai/v1

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Installing the OpenAI Package

If you haven’t installed it yet, add the OpenAI package to your project:

Python:

pip install openai

JavaScript (Node.js):

npm install openai

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Using OpenAI Compatibility

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Sending a Request to a Model

Here is an example of how to interact with the baby1 basic model using Python and JavaScript. Find an verview of all available AI models on Hmodels here 👉 Hmodels.

# Python Example
import openai

openai.api_key = "your_api_key"
openai.api_base = "https://api.humiris.ai/api/openai/v1"

response = openai.ChatCompletion.create(
    model="codiris-v1-preview",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain the theory of relativity."}
    ]
)

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

// JavaScript Example
import OpenAI from "openai";

const openai = new OpenAI({
  apiKey: "your_api_key",
  baseURL: "https://api.humiris.ai/api/openai/v1",
});

async function run() {
  const response = await openai.chat.completions.create({
    model: "daddy1",
    messages: [
      { role: "system", content: "You are a helpful assistant." },
      { role: "user", content: "Explain the theory of relativity." },
    ],
  });
  console.log(response.choices[0].message.content);
}
run();

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Other Useful Parameters

The API supports several options to customize the model’s responses.

ParameterDescription
modelName of the model used (daddy1 or daddy1-adv).
messagesList of messages to structure the conversation.
temperatureControls response creativity (0 = deterministic, 1 = highly creative).
max_tokensMaximum number of tokens in the response.

Example with Advanced Parameters:

# Python Example
import os
import openai

openai.api_key = "your_api_key"
openai.api_base = "https://api.humiris.ai/api/openai/v1"
response = openai.ChatCompletion.create(
    model="daddy1",
    messages=[
        {"role": "system", "content": "You are an expert in quantum physics."},
        {"role": "user", "content": "Explain the tunnel effect."}
    ],
    temperature=0.7,
    max_tokens=200
)

// JavaScript Example
import OpenAI from "openai";

const openai = new OpenAI({
  apiKey: "your_api_key",
  baseURL: "https://api.humiris.ai/api/openai/v1",
});
const response = await openai.chat.completions.create({
  model: "daddy1",
  messages: [
    { role: "system", content: "You are an expert in quantum physics." },
    { role: "user", content: "Explain the tunnel effect." },
  ],
  temperature: 0.7,
  max_tokens: 200,
});