llama4

1. Get your API key

   Create a key in the ShareAI Console, then save it as an environment variable on your server.

   Create API key↗
   Environment variable

   export SHAREAI_API_KEY="your-api-key"

2. Choose your endpoint

   Send a POST request with your API key in the Authorization header.

   POSThttps://api.shareai.now/api/v1/chat/completions

3. Make your first request

   The request below uses your selected tag. Run it on your server to keep your API key private.

   cURL

   curl --request POST 'https://api.shareai.now/api/v1/chat/completions' \
     --header "Authorization: Bearer ${SHAREAI_API_KEY}" \
     --header 'Content-Type: application/json' \
     --data-raw '{
     "model": "meta/llama4:17b-maverick-128e-instruct-q8_0",
     "messages": [
       {
         "role": "user",
         "content": "Hello!"
       }
     ],
     "stream": false
   }'

   Python

   import json
   import os
   import urllib.request
   
   payload = json.loads("{\n  \"model\": \"meta/llama4:17b-maverick-128e-instruct-q8_0\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Hello!\"\n    }\n  ],\n  \"stream\": false\n}")
   request = urllib.request.Request("https://api.shareai.now/api/v1/chat/completions",
       data=json.dumps(payload).encode(),
       headers={
           "Authorization": f"Bearer {os.environ['SHAREAI_API_KEY']}",
           "Content-Type": "application/json",
       },
       method="POST",
   )
   with urllib.request.urlopen(request) as response:
       print(json.load(response))

   TypeScript

   const response = await fetch("https://api.shareai.now/api/v1/chat/completions", {
     method: 'POST',
     headers: {
       Authorization: `Bearer ${process.env.SHAREAI_API_KEY}`,
       'Content-Type': 'application/json',
     },
     body: JSON.stringify({
       "model": "meta/llama4:17b-maverick-128e-instruct-q8_0",
       "messages": [
         {
           "role": "user",
           "content": "Hello!"
         }
       ],
       "stream": false
     }),
   });
   if (!response.ok) throw new Error(await response.text());
   console.log(await response.json());

Open a tag to see its specifications and API examples.