# Replicate

{% hint style="info" %}
See the changelog of this Action type [here](https://app.gitbook.com/s/IXj83By4f20oCrZZ0gyP/replicate).
{% endhint %}

{% hint style="warning" %}
Note that this Action is only available in certain Tenants. [Contact us](https://app.gitbook.com/s/cSjT21I4EUhzghjc1rER/) if you need to use it and don't see it in your Tenant.
{% endhint %}

## Overview

This action offers automatic integration with models available on the Replicate platform, whether publicly accessible or privately deployed. This component simplifies accessing and utilizing a wide array of models without manual integration efforts. 

Integrating Onum with replicate.com can offer several benefits, enhancing the platform's capabilities and the value it delivers:

* Access to a Broad Range of Models
* Ease of Model Deployment
* Scalability
* Continuous Model Updates
* Cost-Effective AI Integration
* Rapid Prototyping and Experimentation
* Enhanced Data Privacy and Security

{% hint style="warning" %}
In order to configure this action, you must first link it to a Listener. Go to [Building a Pipeline ](https://docs.onum.com/the-workspace/pipelines/building-a-pipeline)to learn how to link.
{% endhint %}

## Ports <a href="#ports" id="ports"></a>

These are the input and output ports of this Action:

<details>

<summary>Input ports</summary>

* **Default port** - All the events to be processed by this Action enter through this port.

</details>

<details>

<summary>Output ports</summary>

* **Default port** - Events are sent through this port if no error occurs while processing them.
* **Error port** - Events are sent through this port if an error occurs while processing them.

</details>

## Configuration

{% stepper %}
{% step %}
Find **MLReplicate** in the **Actions** tab (under the **Enrichment** group) and drag it onto the canvas. Link it to the required [Listener](https://docs.onum.com/the-workspace/listeners) and [Data sink](https://docs.onum.com/the-workspace/pipelines/data-sinks).
{% endstep %}

{% step %}
To open the configuration, click the Action in the canvas and select **Configuration**.
{% endstep %}

{% step %}
Enter the required parameters:

<table><thead><tr><th width="215">Parameter</th><th>Description</th></tr></thead><tbody><tr><td><strong>Token</strong><mark style="color:red;"><strong>*</strong></mark></td><td>The API token of the model you wish to </td></tr><tr><td><strong>Version</strong><mark style="color:red;"><strong>*</strong></mark></td><td>The version can usually be located by running a command on the machine using Replicate API.</td></tr><tr><td><strong>Input</strong> </td><td>This will be the input IP.</td></tr><tr><td><strong>Output</strong> </td><td>Specify a name for the output event.</td></tr></tbody></table>
{% endstep %}

{% step %}
Click **Save** to complete.
{% endstep %}
{% endstepper %}

### Where to find these values

It is possible to use all the public models from <https://replicate.com/collections/language-models> related to process natural language.

<div data-full-width="false"><figure><img src="https://lh7-us.googleusercontent.com/aondLJf4DYTh5aV0skudDLvSQ44reZASafQAcObi1SBaMQMR1VmRepajkF1aBB8Vz0MJfUr44rEJLQlF9aNC37ga3cW2fi6bW2NFHkL95urricXGFifPaTtMHK8h8e5bSC7aPUfgRaGFwdRNgJqx_WI" alt=""><figcaption></figcaption></figure></div>

To fill in the values, you need to utilize the information about the user and model from Replicate.com and execute a copy/paste. The following image illustrates how to locate the required parameters on the Replicate.com model website.<br>

<figure><img src="https://lh7-us.googleusercontent.com/wFsbX-ERxKxrVjiJkVSFah5YvSKp76poIbqEYZi6gf1FLe9euQAeBRHoBqCcHcE96XIX8CtTAdzeQj0IgDX52HwotXdJUwCUbTT8VmGFNwPmjf7ExKLksFWVfnFBRZPbaam4EZB90uv-kNFlijivC7Y" alt=""><figcaption></figcaption></figure>

Just in case, if the version does not appear, choose the Cog tag and copy the version like in the following picture.&#x20;

<figure><img src="https://lh7-us.googleusercontent.com/KS00OIh4Acb6Fmq5W-zNzlDaX_JQR6vfS9I0JTid5aMu6DWzuTee4k48LBETPttO7GFJVLEhU2gcXIQ6iCZFgVNhjOcK9Gek-hxI7k2_wD2PRt-b3o8Okv2vTYQpNDstLlfMGS9aJe1iM6YJGHB0O_c" alt=""><figcaption></figcaption></figure>

A version identifies every model and requires a set of input parameters.&#x20;