SUTRA-V2 Guide

Welcome to the Build with SUTRA-V2 guide — designed to help developers harness the power of SUTRA-V2 for multilingual conversational AI, complex reasoning, and structured problem-solving.

🔍 What is SUTRA-V2?

SUTRA-V2 is our multilingual AI model designed for instruction execution and conversational intelligence across 50+ languages. Trained on a diverse blend of proprietary and open-access datasets, it excels in handling complex tasks with high accuracy. With deep proficiency across Latin, Indic, and Far Eastern languages, SUTRA-V2 delivers natural, context-aware responses, making it a powerful solution for global enterprises, multilingual assistants, and cross-language AI applications.

SUTRA-V2 is an advanced multilingual AI model optimized Multi-step logical inference, Structured problem-solving, Deep contextual analysis and High-performance conversational AI across 50+ languages. Following are some example scenarios where SUTRA-V2 is ideal choice.

ScenarioExample
Legal AnalysisInterpret complex legal documents and policies
Business IntelligenceAnalyze market trends and strategic decisions
Scientific ReasoningEvaluate cause-effect relationships in research
Multilingual Q&AAnswer queries in 50+ languages with high accuracy

Quickstart in Python

SUTRA-V2's API is fully compatible with OpenAI’s specifications, supporting seamless integration for developers. To begin using the SUTRA-V2 API, install the required package:

# SUTRA models are OpenAI API compatible
!pip install -qU openai

Authenticate with your API key:

from openai import OpenAI

client = OpenAI(
    base_url='https://api.two.ai/v2',
    api_key="YOUR_SUTRA_API_KEY"
)

Make a basic completion request:

response = client.chat.completions.create(
    model='sutra-v2',
    messages=[
        {"role": "user", "content": "Tell me about artificial intelligence in 3 sentences."}
    ],
    max_tokens=1024,
    temperature=0.7
)

print(response.choices[0].message.content)

Streaming Response Example

stream = client.chat.completions.create(
    model='sutra-v2',
    messages=[
        {"role": "user", "content": "Write a short story about a robot who discovers emotions."}
    ],
    max_tokens=1024,
    temperature=0.7,
    stream=True
)

for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end='', flush=True)

Multilingual Support Example

def multilingual_response(prompt, lang):
    print(f"[{lang}] {prompt}")
    response = client.chat.completions.create(
        model='sutra-v2',
        messages=[{"role": "user", "content": prompt}],
        max_tokens=1024,
        temperature=0.7
    )
    print(response.choices[0].message.content)

multilingual_response("नमस्ते, आप कैसे हैं?", "Hindi")
multilingual_response("¿Qué es la inteligencia artificial?", "Spanish")
ParameterPurposeRecommended for V2
temperatureControls randomness0.7 for balanced output
max_tokensLimits response length512–1024
presence_penaltyReduces repetition0.0–0.6

API Access (cURL)

curl -X POST https://api.two.ai/v2/chat/completions \
-H "Authorization: Bearer $SUTRA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
  "model": "sutra-v2",
  "messages": [
    {"role": "user", "content": "Explain how blockchain improves supply chain transparency."}
  ]
}'

Troubleshooting

  • Invalid API Key: Verify your API key and ensure it’s correctly set in your environment or Colab secret.
  • Rate Limit Exceeded: Upgrade your plan or reduce request frequency.
  • Empty Response: Increase max_tokens or refine your prompt for clarity.

Models Overview

SUTRA-R0 Guide

On this page

🔍 What is SUTRA-V2?
Quickstart in Python
Streaming Response Example
Multilingual Support Example
Recommended Parameters
API Access (cURL)
Troubleshooting