livekit-plugins-azure

import os from livekit.agents import AgentSession, JobContext from livekit.plugins import azure async def my_azure_agent(ctx: JobContext): # Ensure AZURE_SPEECH_KEY and AZURE_SPEECH_REGION are set in your environment # e.g., via a .env file or directly as environment variables. speech_key = os.environ.get('AZURE_SPEECH_KEY', '') speech_region = os.environ.get('AZURE_SPEECH_REGION', '') if not speech_key or not speech_region: print("Error: AZURE_SPEECH_KEY and AZURE_SPEECH_REGION environment variables must be set.") return session = AgentSession( ctx, stt=azure.STT( speech_key=speech_key, speech_region=speech_region ), tts=azure.TTS( speech_key=speech_key, speech_region=speech_region, voice="en-US-JennyNeural" # Specify a voice for TTS ) # You would typically add an LLM (e.g., from livekit.plugins.openai) here # llm=openai.responses.LLM.with_azure(...) ) print("LiveKit Agent session initialized with Azure Speech STT and TTS.") # Example: Make the agent say something immediately # await session.easy_reply("Hello, I am an AI agent powered by Azure Speech.") # This is where your agent's main logic would run # await session.run()