API Guides & TutorialsChat Completion

Chat Completions Overview

Sarvam AI provides powerful chat completion APIs designed to build intelligent conversational AI experiences, with native support for Indian languages and deep contextual reasoning.

Our Chat Completion APIs currently support the following chat model:

Sarvam-M

Sarvam-M is a 24B parameter, open-weights language model built for multilingual, hybrid-reasoning in a text-only format.

Features

Hybrid Thinking Mode
  • Supports both “think” and “non-think” modes
  • Think mode for complex logical reasoning
  • Non-think mode for efficient conversations
  • Ideal for mathematical and coding tasks
Advanced Indic Skills
  • Post-trained on Indian languages
  • Native English proficiency
  • Authentic Indian cultural values
  • Rich understanding of local context
Superior Reasoning Capabilities
  • Outperforms similar-sized models
  • Strong performance on coding tasks
  • Excellent mathematical reasoning
  • Advanced problem-solving abilities
Seamless Chatting Experience
  • Full Indic script support
  • Romanized language support
  • Multilingual conversation handling
  • Natural language understanding

Code Examples

1from sarvamai import SarvamAI
2
3client = SarvamAI(
4    api_subscription_key="YOUR_SARVAM_API_KEY",
5)
6response = client.chat.completions(messages=[
7    {"role": "user", "content": "Hey, what is the capital of India?"}
8])
9print(response)
Key Considerations
  • Maximum context length: 4096 8192

  • Temperature range: 0 to 2

    • Non-thinking mode: 0.2 (recommended)
    • Thinking mode: 0.5 (recommended)
  • Top-p range: 0 to 1

  • Reasoning effort options: low, medium, high

    • Setting any value enables thinking mode
    • Higher values increase reasoning depth
  • Enable wiki_grounding for factual queries

Check out our detailed API Reference to explore Chat Completion and all available options.