SUTRA-V2 is here

Mar 17, 2025

Get started with a FREE SUTRA API key and unlock the power of SUTRA's multilingual AI models for your apps and services.

We are excited to roll out the SUTRA V2 API, bringing a host of new features, improved efficiency, and expanded compatibility. As part of this update, the SUTRA V1 API will be deprecated on March 22, 2025, at 11:55 PM PST.

What’s New in SUTRA V2?

OpenAI Specification Compatibility – The V2 API is fully aligned with OpenAI’s API specifications, making integration seamless for developers and enterprises.
Image Input – Now supports image processing, enabling applications in image analysis, captioning, and visual search.
File Input – (Coming soon) Upload and process files in various document formats to extract insights and automate workflows.
Streaming Mode – Real-time response streaming continues to be supported, ensuring faster interactions.
Faster Performance – To enhance speed and reduce latency, dedicated servers in India, the USA, Korea, and Japan (coming soon) provide optimized response times for users in these regions.

Getting Started with SUTRA V2 API

SUTRA is a powerful family of multilingual AI models developed by Two Platforms. Designed with a dual-transformer architecture, it combines Mixture of Experts (MoE) and dense model techniques to deliver high-performance multilingual AI capabilities for over 50 languages. SUTRA V2 powers a range of applications, including conversational AI, search, and advanced reasoning.

Making Your First API Call

The SUTRA API follows an OpenAI-compatible format, allowing easy adoption using existing OpenAI SDKs.

Base URL: https://api.two.ai/v2/chat/completions

API Key: Request API Key

API DocS: https://docs.two.ai

Once you have your API key, use the following examples to get started:

cURL Example

curl -X POST "https://api.two.ai/v2/chat/completions" \
  -H "Authorization: Bearer $SUTRA_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Accept: text/event-stream" \
  -d '{
  "model": "sutra-v2",
  "messages": [
    {"role": "user", "content": "मुझे मंगल ग्रह के बारे में 5 पैराग्राफ दीजिए"}
  ]
}

Python Example

import os
from openai import OpenAI

url = 'https://api.two.ai/v2'

client = OpenAI(base_url=url, api_key=os.environ.get("SUTRA_API_KEY"))

stream = client.chat.completions.create(
    model='sutra-v2',
    messages=[{"role": "user", "content": "मुझे मंगल ग्रह के बारे में 5 पैराग्राफ दीजिए"}],
    max_tokens=1024,
    temperature=0,
    stream=True
)

for chunk in stream:
    if len(chunk.choices) > 0:
        content = chunk.choices[0].delta.content
        finish_reason = chunk.choices[0].finish_reason
        if content and finish_reason is None:
            print(content, end='', flush=True)

Key Resources & Next Steps

Explore the API Reference for more details.
Test SUTRA’s Tokenizer on Hugging Face.
Find sample applications and use cases on our GitHub repository.

Tech @ TWO

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PUBLISHED

Mar 17, 2025

PUBLISHED

Mar 17, 2025

PUBLISHED

Mar 17, 2025

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