> ## Documentation Index
> Fetch the complete documentation index at: https://docs.movoice.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Non english prompts

# Prompts for Non-English

Creating effective agents in languages other than English requires specific prompting strategies.

## 1. Language Instruction

Even if you are prompting in English, clearly state the output language.

* *"Prompt Example*: 'You are an assistant. You must speak only in **Odia**. Do not use English words unless they are technical terms with no Odia equivalent.'"

## 2. Transliteration vs. Native Script

Most LLMs (like GPT-4) understand both Native Script (e.g., नमस्ते ) and Transliterated text (e.g., "Namaste").

* **Tip**: Provide examples in the Native Script within your prompt to ensure the LLM understands the correct formal/informal tone of that specific culture.

## 3. Cultural Nuance

Languages carry cultural weight.

* If prompting for a Japanese agent, instruct it on the level of politeness (Keigo).
* If for a Hindi agent, specify if it should be formal ("Aap") or semi-formal ("Tum").

## 4. Testing for ASR Accuracy

Non-English speech recognition can be sensitive to "Hinglish" or "Odia-English" mixing.

* Instruct your agent to be "Robust to code-switching" if you expect your users to mix languages naturally.

## Recommended Providers

For the best results in non-English (especially Indian) languages, use **Sarvam AI** for both ASR and TTS.