OpenAI
Enhance your projects with the latest OpenAI models
This section explains how to obtain an api key from openAI and configure it in a Graphext team. This allows you to use the OpenAI API in your Graphext projects, with most notable steps like prompt_ai, which allow for inferring knowledge and enriching datasets using LLMs.
Steps
There are two steps to this process:
Get the key from openAI
Navigate to OpenAI - API Keys and generate a new key. Depending on your permissions, you may ask your manager/employer to enable them for you.
This should open a screen like this:
Towards the top right corner you’ll see a “Create Secret Key” button. Click it, and you’ll be asked for a name. This name can be anything you want. It’s purpose it’s to identify it uniquely, helping you know which keys are spending most.
Once you’ve created the key, you’ll be able to copy it and use it in Graphext.
Once the key is created, you will not be able to see it again. Make sure to save it in a secure place, like a password manager.
If you lose it, no worries. Just delete it from the panel and create a new one.
Use the key in Graphext
Within Graphext, OpenAI keys are team-scoped. This means that if you or anyone in a team sets up an OpenAI key, all members of the team will be able to use it.
This also means that for new teams, a key will have to be setup.
To use the key in Graphext, follow these steps:
Navigate to your desired team
Go to any team you want to enable the openAI integration on.
Add a new integration
Click on the “ADD INTEGRATION” button, towards the top center of the page. If you already have integrations setup, this button will display how many you have enabled.
Go to API Keys
Towards the top left corner, you’ll see an “API Keys” section.
Click Add API Key
Towards the top left corner you’ll see an “Add API Key” button.
Click on the Open AI icon
Click on the “Open AI” icon to input your openAI key.
Input your API Key
Input the key in the “Open AI Key” field.
The “name” field compulsory. It serves as a unique identifier to use in your Graphext projects, like in the Recipe or the Wizard. A good rule of thumb is to name it after whatever you’re going to use it for.
In this case, since it’s going to help me analyze some tweets, I’ll name it gpt-tweets. I could name it whatever I want, like tweets-analyzer, or tweets.
Keep in mind that there cannot be two integrations within the same team that have the same name.
Like that, you can now use the immensely powerful capabilities of LLMs in Graphext!
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