chat

name	chat
description	Write correct Sarvam AI chat-completion code (Sarvam-105B, Sarvam-30B) — OpenAI-compatible API, streaming, reasoning mode, and the content=None gotcha. Use this skill when building chatbots, Q&A, agents, or Indic LLM features in Python or JS/TS. For a live completion in chat via MCP, use sarvam-mcp instead.
license	Apache-2.0
metadata	{"author":"sarvam-ai","version":"3.2"}

Chat Completions — Sarvam AI

Live in-chat completion → sarvam-mcp (sarvam_tools_llm_complete). This skill = SDK code.

[!IMPORTANT] Auth: api-subscription-key header — NOT Authorization: Bearer. Base URL: https://api.sarvam.ai/v1

Models

Model	Context	Best For
sarvam-105b	128K	Complex reasoning, coding, agentic workflows
sarvam-30b	64K	Real-time chat, voice agents, conversational AI

The fixed-context variants (sarvam-105b-32k, sarvam-30b-16k) are retired — base models serve their full context window directly.

Quick Start (Python)

from sarvamai import SarvamAI
client = SarvamAI()

response = client.chat.completions(
    model="sarvam-30b",
    messages=[{"role": "user", "content": "भारत की राजधानी क्या है?"}]
)
print(response.choices[0].message.content)

Streaming (Python)

for chunk in client.chat.completions(
    model="sarvam-30b",
    messages=[{"role": "user", "content": "Write a poem about India"}],
    stream=True
):
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

Quick Start (JavaScript/TypeScript)

import { SarvamAIClient } from "sarvamai";

const client = new SarvamAIClient({ apiSubscriptionKey: "YOUR_SARVAM_API_KEY" });

const response = await client.chat.completions({
    model: "sarvam-30b",
    messages: [{ role: "user", content: "भारत की राजधानी क्या है?" }]
});
console.log(response.choices[0].message.content);

OpenAI-Compatible (both languages)

from openai import OpenAI
client = OpenAI(api_key="your-key", base_url="https://api.sarvam.ai/v1")
response = client.chat.completions.create(model="sarvam-30b", messages=[...])

Gotchas

Gotcha	Detail
SDK method	Python: client.chat.completions(...), JS: client.chat.completions({...}) — no .create() in either. OpenAI SDK uses .create() as usual.
JS constructor	new SarvamAIClient({ apiSubscriptionKey: "..." }) — NOT SarvamAI(). Key is passed explicitly.
content can be None	Models produce reasoning_content before content. If max_tokens is too low, reasoning consumes the budget, finish_reason is "length", and content is None. Omit max_tokens, set 500+, or disable reasoning with reasoning_effort=None. Check reasoning_content as fallback.
reasoning_effort	Thinking is on by default at "low". Values: "low"|"medium"|"high", or None to disable reasoning entirely. NOT thinking=True. Reasoning tokens count toward completion tokens and billing.

Full Docs

Fetch detailed parameters, tool calling, streaming, and examples from:

• https://docs.sarvam.ai/llms.txt — comprehensive docs index
• Chat Completion Guide
• Model Specs
• Rate Limits