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:
Obtain your API key from 4EVER AI RPC.
Review the Request documentation to familiarize yourself with all possible parameters and endpoints.
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
Copy 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
Copy 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
Copy 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
Copy 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
Copy 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 ()
Remember, innovation and creativity are at your fingertips with 4EVER AI RPC API. Start exploring today !
Last updated 3 months ago