Using Eden AI for Free LLM API calls

Learn how to navigate the dashboard, use sandbox API to test, and then use production API stay within the $1 credit limit.

May 21, 2024 By Kappa Labs

In this guide, we'll learn how to effectively utilize the Eden AI platform for free LLM API call. Upon signing in or signing up on edenai.run, you'll be greeted with a dashboard displaying a $1 credit. This credit can be used for production API. You can use sandbox API purposes, allowing you to generate dummy results and test your solutions seamlessly.

Exploring Text Generation with Eden AI

Navigate to the generative section within the platform and select the desired model, such as Gemini Pro, to initiate the text generation process. Utilize the provided API in either Python or JavaScript to test and generate text outputs based on your requirements. Whether you need a narrative flow for real estate or any other content, this platform offers a straightforward approach to text generation.

Let's get started.

So, you go to edenai.run, and sign in

Go to Eden AI

Step #3: This will display the dashboard. There is a $1 credit available. You have access to both the production API and sandbox API. These can be used to generate dummy results and test your solutions. — This will display the dashboard. There is a $1 credit available. You have access to both the production API and sandbox API. These can be used to generate dummy results and test your solutions.

Step #4: Click "Generative" from the sidebar — Click "Generative" from the sidebar

Step #5: Then Click "Text Generation" — Then Click "Text Generation"

Here is your API in Python or JavaScript.

Step #6: Here is your API SDK - you can use Python or JS depending on your choice of server. — Here is your API SDK - you can use Python or JS depending on your choice of server.

Sure, here is the revised text: Provide me with a narrative flow

Type "Cmd + A"

Type "Test"

Sure, I'll use this model.

Type "Give me a narrative flow for a real estate brochure. "

Step #13: Click "All Mistral" — Click "All Mistral"

Step #14: Click "select a model for each provider" — Click "select a model for each provider"

Step #15: Click "google : gemini - pro" — Click "google : gemini - pro"

Maybe Gemini Pro.

I will proceed with generating.

Step #17: Click "O Generate" — Click "O Generate"

Here is the output you can render or send to the front end. This is the associated cost.

Step #18: Click "$ 0.0037" — Click "$ 0.0037"

Make sure you stay under the $1 limit by avoiding exceeding it. You can also make dummy calls in the sandbox to ensure you don't go over the limit. That's all.

You have everything you need here.

Using Eden AI for Free LLM API calls

Learn how to navigate the dashboard, use sandbox API to test, and then use production API stay within the $1 credit limit.

May 21, 2024 By Kappa Labs

Exploring Text Generation with Eden AI

Let's get started.

So, you go to edenai.run, and sign in

Go to Eden AI

Here is your API in Python or JavaScript.

Sure, here is the revised text: Provide me with a narrative flow

Type "Cmd + A"

Type "Test"

Sure, I'll use this model.

Type "Give me a narrative flow for a real estate brochure. "

Maybe Gemini Pro.

I will proceed with generating.

Here is the output you can render or send to the front end. This is the associated cost.

Make sure you stay under the $1 limit by avoiding exceeding it. You can also make dummy calls in the sandbox to ensure you don't go over the limit. That's all.

You have everything you need here.