Tutorial
Generative AI
8 min reading

How to use intelligent chats like ChatGPT with Python

Summarize this article with:

summary
  • The first step to getting started with Chat is to install Python's requests package, that will allow you to call Eden AI API.
  • To use LLM chats, you'll need to create an account on Eden AI for free.
  • Once you have imported packages on Python and got your API key, you will be able to use LLM chats.
  • We offer a unified API for all providers: simple and standard to use, with a quick switch between providers and an access to the specific features of each provider.
  • With Eden AI's standardized API and ready-to-use code examples, most developers can integrate the feature in under an hour.

In this tutorial, you will learn how to use Intelligent Chat API in 5 minutes using Python. Eden AI provides an easy and developer-friendly API that allows you to use LLM chats.

What is Intelligent Chat? 

Intelligent chat systems, like ChatGPT, are powered by advanced AI language models, such as large language models (LLMs). LLM chat systems go beyond traditional chatbots by leveraging sophisticated algorithms and massive language models to understand natural language, context, and user intent, enabling them to generate relevant and coherent responses.

Intelligent Chat API result on Eden AI

With their ability to handle diverse topics and styles, LLM chat systems like ChatGPT provide versatility for interactive chat experiences. Developers can further customize their behavior by employing chat system actions, which provide explicit instructions or constraints to align with specific goals or desired behaviors. This level of customization makes LLM chat systems suitable for a wide range of applications and use cases.

Get Started with Intelligent Chat API

The first step to getting started with Chat is to install Python's requests package, that will allow you to call Eden AI API.

Next, you'll need to install Python's JSON package in order to read and print the result of the API request.

How to use Intelligent Chat API with Python

1. Get a Chat API Key on Eden AI

To use LLM chats, you'll need to create an account on Eden AI for free. Then, you will be able to get your API key directly from the homepage with free credits offered by Eden AI.

Eden AI platform - Get your API key

2. Let’s use LLM chats

Once you have imported packages on Python and got your API key, you will be able to use LLM chats. You can access the list of Chat engines available on Eden AI to help you choose the provider that best suits your project and needs.

Here is the Python script you need to write in your notebook:

For example, we called two different Chat engines. Eden AI API will then return in its JSON response results of those providers.

Once the request is done, you will be able to get the result with this print:

Here is an example of a Intelligent Chat API response:

Benefits of using Chat API with Eden AI

Using Intelligent Chat with Eden AI API is quick and easy.

Multiple AIs in one API - Eden AI
Multiple AIs in one API - Eden AI

Save time and cost

We offer a unified API for all providers: simple and standard to use, with a quick switch between providers and an access to the specific features of each provider.

Easy to integrate

The JSON output format is the same for all suppliers thanks to Eden AI's standardisation work. The response elements are also standardised thanks to Eden AI's powerful matching algorithms.

Customization

With Eden AI you have the possibility to integrate a third party platform: we can quickly develop connectors. To go further and customize your Intelligent Chat request with specific parameters, check out our documentation.

FAQ — use intelligent chats like ChatGPT

You need an API key from your chosen AI provider. Eden AI lets you access multiple providers with a single key, removing the need for separate vendor accounts.
Any language that supports HTTP requests works — Python, JavaScript, PHP, Ruby, Go, and more. Ready-to-use code snippets are available for the most common languages.
Most developers complete a basic integration in under an hour using standardized API endpoints and ready-to-use code examples.
Implement exponential backoff for rate limit errors and use try-catch blocks for network failures. Eden AI's built-in fallback routing automatically redirects requests if a provider is unavailable.
Eden AI supports GDPR-compliant provider filtering and does not store or reuse your data, ensuring compliance with European privacy regulations.

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