Get up and running with Forii. You’ll make your first inference request before the page finishes loading.
Step 1: Get your API key
Sign up at app.forii.in
Navigate to Dashboard → API Keys
Click Create New Key
Copy the key — it starts with forii_sk_ and is shown only once
Your free tier includes ₹50 in credits — enough for thousands of inference calls. No credit card needed to start.
Step 2: Install the SDK Forii is OpenAI-compatible. Use the official OpenAI SDK — no Forii SDK needed.
No installation needed. cURL is pre-installed on macOS and Linux.
Step 3: Make your first request import os from openai import OpenAI client = OpenAI( base_url = "https://api.forii.in/inference/v1" , api_key = os.environ[ "FORII_API_KEY" ], ) response = client.chat.completions.create( model = "forii/deepseek-v3" , messages = [ { "role" : "system" , "content" : "You are a helpful assistant." }, { "role" : "user" , "content" : "Explain quantum computing in simple terms" }, ], temperature = 0.7 , max_tokens = 512 , ) print (response.choices[ 0 ].message.content) print ( f " \n Tokens: { response.usage.total_tokens } " )
import OpenAI from "openai" ; const client = new OpenAI ({ apiKey: process . env . FORII_API_KEY , baseURL: "https://api.forii.in/inference/v1" , }); const response = await client . chat . completions . create ({ model: "forii/deepseek-v3" , messages: [ { role: "system" , content: "You are a helpful assistant." }, { role: "user" , content: "Explain quantum computing in simple terms" }, ], temperature: 0.7 , max_tokens: 512 , }); console . log ( response . choices [ 0 ]. message . content ); console . log ( ` \n Tokens: ${ response . usage . total_tokens } ` );
curl https://api.forii.in/inference/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $FORII_API_KEY " \ -d '{ "model": "forii/deepseek-v3", "messages": [ {"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "Explain quantum computing in simple terms"} ], "temperature": 0.7, "max_tokens": 512 }'
Step 4: Stream a response stream = client.chat.completions.create( model = "forii/deepseek-v3" , messages = [{ "role" : "user" , "content" : "Tell me a story" }], stream = True , ) for chunk in stream: if chunk.choices[ 0 ].delta.content: print (chunk.choices[ 0 ].delta.content, end = "" )
const stream = await client . chat . completions . create ({ model: "forii/deepseek-v3" , messages: [{ role: "user" , content: "Tell me a story" }], stream: true , }); for await ( const chunk of stream ) { process . stdout . write ( chunk . choices [ 0 ]?. delta ?. content || "" ); }
What’s next?
Chat Completions Full reference for all completion modes — streaming, structured outputs, function calling.
Models Browse available models, context windows, and pricing.
Pricing INR pricing, credits system, and plans — frontier models at 30% lower cost.
