langchain-sarvamcloud 0.1.0

Integration package connecting Sarvam AI APIs and LangChain

langchain-sarvamcloud

This package contains the LangChain integration for Sarvam AI — India's sovereign AI platform with comprehensive support for 22+ Indian languages.

Features

• Chat completions (ChatSarvam) — Tool calling, streaming, reasoning_effort control
• Speech-to-Text (SarvamSTT, SarvamBatchSTT) — 23 languages, REST + batch async
• Text-to-Speech (SarvamTTS) — 11 languages, 30+ voices
• Translation (SarvamTranslator) — 22 languages, style modes, code-mixed output
• Transliteration (SarvamTransliterator) — Script conversion (Devanagari ↔ Roman)
• Language Detection (SarvamLanguageDetector) — Identify language and script
• Document Intelligence (SarvamDocumentIntelligence) — OCR/digitization for PDFs

Installation

pip install -U langchain-sarvamcloud

Setup

Get your API subscription key from dashboard.sarvam.ai and set:

export SARVAM_API_KEY="your-api-key"

Usage

Chat

from langchain_sarvamcloud import ChatSarvam

model = ChatSarvam(model="sarvam-105b", temperature=0.2)
response = model.invoke("हिंदी में मेरा परिचय दो।")
print(response.content)

Translation

from langchain_sarvamcloud import SarvamTranslator

translator = SarvamTranslator(model="sarvam-translate:v1")
result = translator.translate(
    "Hello, how are you?",
    source_language_code="en-IN",
    target_language_code="hi-IN",
    mode="formal",
)
print(result["translated_text"])

Speech-to-Text

from langchain_sarvamcloud import SarvamSTT

stt = SarvamSTT(model="saaras:v3")
with open("audio.wav", "rb") as f:
    result = stt.transcribe(f, language_code="hi-IN")
print(result["transcript"])

Document Intelligence

from langchain_sarvamcloud import SarvamDocumentIntelligence

loader = SarvamDocumentIntelligence(
    file_paths=["document.pdf"],
    language="hi-IN",
    output_format="md",
)
docs = loader.load()
print(docs[0].page_content)

Models

Model	Context Window	Tool Calling	Notes
sarvam-105b	128K tokens	Yes	Flagship (default)
sarvam-105b-32k	32K tokens	Yes	Short-context variant
sarvam-30b	32K tokens	Yes	Balanced
sarvam-30b-16k	16K tokens	Yes	Short-context variant
sarvam-m	8K tokens	No	Legacy 24B

All chat models are free to use (no per-token cost).

Supported Languages

22+ Indian languages including: Hindi (hi-IN), Tamil (ta-IN), Telugu (te-IN), Bengali (bn-IN), Kannada (kn-IN), Malayalam (ml-IN), Gujarati (gu-IN), Marathi (mr-IN), Punjabi (pa-IN), Odia (od-IN), and more.