> ## Documentation Index
> Fetch the complete documentation index at: https://docs.humiris.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Python

> Humiris AI is a library that allows developers to seamlessly integrate Mixture of AI Basic and Advanced into their applications. This library is designed to simplify the process of adding Mixture of AI features and functionalities, making it accessible for developers of all levels.

<Info>
  **Prerequisite**: To install the Humiris AI library, you can use pip, the
  Python package manager. Ensure you have Python 3.6 or later installed on your
  system.
</Info>

**Install Humiris**
Open your terminal or command prompt and run the following command:

```bash pip theme={null}
pip install humiris_ai
```

<Info>
  **Prerequisite**: At this step you will need your Mixture Apikey to continue.{" "}
  <a href="https://platform.humiris.ai/api-key">How to get my Moai Apikey</a> ?
</Info>

**Importing the Library**

After installation, you can import the Humiris library into your Python project:

```python theme={null}
import humiris_ai
```

**Basic Usage**

```python theme={null}
from humiris_ai import BasicMoAi, MessageType, BasicPayload

# Initialize the MoAi with your API key
moai = BasicMoAi(api_key='your_api_key')

# Create a payload for the AI service
messages = [
    MessageType(role='system', content='You are a helpful assistant that answers questions about technology.'),
    MessageType(role='user', content='What is the diference between a microprocessor and a central processing unit?')
]

payload = BasicPayload(
    mix_tuning_id='exampleId',
    messages=messages,
    temperature=0.7,
    max_tokens=150
)

# Call the AI service
response = moai.use_basic_mixtuning(payload)
print(response)
```

**Advanced Usage**

```python theme={null}
from humiris_ai import AdvancedMoAi, MessageType, AdvancedPayload

# Initialize the MoAi with your API key
moai = AdvancedMoAi(api_key='your_api_key')

# Create a payload for the AI service
messages = [
    MessageType(role='system', content='You are a helpful assistant that answers questions about technology.'),
    MessageType(role='user', content='What is the diference between a microprocessor and a central processing unit?')
]

payload = AdvancedPayload(
    advanced_mix_tuning_id='exampleId',
    messages=messages,
    temperature=0.7,
    max_tokens=150
)

# Call the AI service
response = moai.use_advanced_mixtuning(payload)
print(response)
```

**Support**
For any questions or issues, please contact Hilario Houmey at [h.hilario@humiris.ai](mailto:h.hilario@humiris.ai).