SUTRA Reasoning Capabilities

This guide dives into SUTRA-R0’s reasoning capabilities, designed for structured thinking and complex decision-making across domains like finance, healthcare, and customer service. SUTRA-R0 excels in multi-step problem-solving and nuanced analysis.

🧠 Reasoning Overview

SUTRA-R0, built with a logical reasoning layer, outperforms models like DeepSeek-R1-32B and OpenAI-o1-mini in multilingual tasks (e.g., Hindi: 81.44, Gujarati: 79.39). Its structured reasoning framework supports enterprise applications by interpreting complex scenarios and generating actionable insights.

📦 Step 1: Install Dependencies

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

🔐 Step 2: Initialize SUTRA Client

from openai import OpenAI

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

💬 Step 3: Reasoning Example

response = client.chat.completions.create(
    model="sutra-r0",
    messages=[
        {"role": "system", "content": "You are a reasoning expert. Break down the query into logical steps."},
        {"role": "user", "content": "If a contract states 'Party A is liable unless Party B notifies within 7 days,' who is liable if notice is given on day 8?"}
    ],
    max_tokens=1024,
    temperature=0.7
)
print(response.choices[0].message.content)

🌟 Use Cases

• Financial Services: Risk assessment and market trend analysis.
• Healthcare: Medical data analysis and diagnostic support.
• Customer Service: Intelligent response recommendations for complex inquiries.

🛠 Troubleshooting

• Invalid API Key: Verify your key at https://developer.two.ai.
• Model Not Found: Use sutra-r0. SUTRA-V1 was deprecated on March 22, 2025.
• Incomplete Responses: Increase max_tokens or refine the prompt for clarity.

📎 Resources

• SUTRA API
• SUTRA GitHub Repository
• ChatSUTRA