If you're looking to create an Arabic-speaking agent using free or free-tier providers, Groq TTS is a great option since it supports Arabic speech synthesis. Here’s a friendly walkthrough to help you get started: 1. Groq TTS Integration: Groq offers TTS support for Arabic with models like

playai-tts-arabic

and voices such as "Nasser-PlayAI" and "Amira-PlayAI." You can follow the Groq TTS integration guide to set everything up with LiveKit. 2. LiveKit's Agents Framework: Use LiveKit’s Python-based Agents framework to build your conversational AI application smoothly. 3. Implementation Steps: ◦ First, install the Groq plugin by running:

pip install "livekit-agents[groq]~=1.0"

◦ Next, grab a Groq API key from the Groq Console and add it to your

.env

file as

GROQ_API_KEY

. ◦ Then, set up your

AgentSession

with the right Groq TTS model and voice. Here’s an example:

from livekit.plugins import groq

session = AgentSession(
    tts=groq.TTS(
        model="playai-tts-arabic",
        voice="Nasser-PlayAI",
    ),
    # ... other configurations (STT, LLM, etc.)
)

1. Free-Tier Considerations: Groq supports Arabic TTS, but it’s not clearly mentioned if there’s a free tier for this feature. You might want to reach out to Groq directly to double-check. 2. Alternative Options: If Groq doesn’t offer a free tier for Arabic TTS, no worries! You can explore other providers like ElevenLabs or Spitch, which may have free-tier options for Arabic speech synthesis. If you have any questions or need a hand with any of these steps, just let me know—I’m here to help! Sources: examples/other/kokoro_tts.py | Groq TTS integration guide | LiveKit Docs | pipeline-tts/elevenlabs_tts.py