Quick Start

Introduction

The Quick Start guide is designed to help users or developers quickly begin using the 4EVER AI RPC API by covering model costs with API keys. Whether you prefer using curl commands or the OpenAI SDK, this guide will walk you through the necessary steps to integrate and utilize the API effectively.

Getting Started

To get started with 4EVERLAND AI RPC API, follow these simple steps:

1. Obtain your API key from 4EVER AI RPC.

2. Review the Request documentation to familiarize yourself with all possible parameters and endpoints.

3. Choose your preferred method of integration: using curl commands or the OpenAI SDK.

API Example

Below is an example of how to make a request using the AI RPC:

typescript

fetch("https://ai.api.4everland.org/api/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${YOUR_API_KEY}`,
    "HTTP-Referer": `${YOUR_SITE_URL}`, // Optional
    "X-Title": `${YOUR_SITE_NAME}`, // Optional
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "google/gemini-pro-1.5",//choose a model
    "messages": [
      {"role": "user", "content": "What is the meaning of life?"},
    ],
    "top_p:" 1, //Optional parameter
    "temperature:" 1, //Optional parameter
    "repetition_penalty:" 1, //Optional parameter
  })
});

Python

import requests
import json
response = requests.post(
  url="https://ai.api.4everland.org/api/v1/chat/completions",
  headers={
    "Authorization": f"Bearer {YOUR_API_KEY}",
    "HTTP-Referer": f"{YOUR_SITE_URL}", # Optional
    "X-Title": f"{YOUR_APP_NAME}", # Optional
  },
  data=json.dumps({
    "model": "google/gemini-pro-1.5", # Optional
    "messages": [
      {"role": "user", "content": "What is the meaning of life?"}
    ]
    "top_p": 1, # Optional parameter
    "temperature": 1, # Optional parameter
    "frequency_penalty": 0, # Optional parameter
  })
)

Shell

curl --location 'https://ai.api.4everland.org/api/v1/chat/completions' \
--header 'authorization: Bearer $YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
    "model": "google/gemini-pro-1.5",
    "messages": [
        {
            "role": "user",
            "content": "what'\''s the meaning of life"
        }
    ],
    "top_p":1,
    "temperature": 1,
    "frequency_penalty":0,
    "presence_penalty":0,
    "repetition_penalty":1,
    "top_k":0
}'

Open AI

You can also use 4EVERLAND AI RPC with OpenAI's client API:

python

import openai
openai.api_base = "https://ai.api.4everland.org/api/v1"
openai.api_key = $YOUR_API_KEY
response = openai.ChatCompletion.create(
  model="openai/gpt-3.5-turbo",
  messages=[...],
  headers={
    "HTTP-Referer": $YOUR_SITE_URL, # Optional
    "X-Title": $YOUR_APP_NAME, # Optional
  },
)
reply = response.choices[0].message

To stream with Python, see this example from OpenAI.

typescript

import OpenAI from "openai"
const openai = new OpenAI({
  baseURL: "https://ai.api.4everland.org/api/v1",
  apiKey: $YOUR_API_KEY,
  defaultHeaders: {
    "HTTP-Referer": $YOUR_SITE_URL, // Optional
    "X-Title": $YOUR_SITE_NAME, // Optional
  },
  // dangerouslyAllowBrowser: true,
})
async function main() {
  const completion = await openai.chat.completions.create({
    model: "openai/gpt-3.5-turbo",
    messages: [
      { role: "user", content: "Say this is a test" }
    ],
  })
  console.log(completion.choices[0].message)
}
main()

If you have any questions, please join our Discord server, or send us an email at [email protected].

Remember, innovation and creativity are at your fingertips with 4EVER AI RPC API. Start exploring today!