livekit--agents
wehub-resource-sync
65 行
1.8 KiB
Python
65 行
1.8 KiB
Python
import logging
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from dotenv import load_dotenv
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from livekit.agents import (
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Agent,
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AgentServer,
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AgentSession,
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JobContext,
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cli,
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room_io,
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)
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from livekit.plugins import xai
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# uncomment lines 18 and 66-68 to enable Krisp background voice/noise cancellation
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# from livekit.plugins import noise_cancellation
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logger = logging.getLogger("agent")
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load_dotenv(".env.local")
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class Assistant(Agent):
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def __init__(self) -> None:
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super().__init__(
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instructions="""You are a helpful voice AI assistant. The user is interacting with you via voice, even if you perceive the conversation as text.
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You eagerly assist users with their questions by providing information from your extensive knowledge.
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Your responses are concise, to the point, and without any complex formatting or punctuation including emojis, asterisks, or other symbols.
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You are curious, friendly, and have a sense of humor.""",
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)
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server = AgentServer()
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@server.rtc_session()
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async def my_agent(ctx: JobContext):
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ctx.log_context_fields = {
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"room": ctx.room.name,
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}
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session = AgentSession(
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llm=xai.realtime.RealtimeModel(voice="ara"),
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tools=[xai.realtime.XSearch(), xai.realtime.WebSearch()],
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preemptive_generation=True,
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)
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await session.start(
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agent=Assistant(),
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room=ctx.room,
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room_options=room_io.RoomOptions(
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audio_input=room_io.AudioInputOptions(
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# noise_cancellation=lambda params: noise_cancellation.BVCTelephony()
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# if params.participant.kind == rtc.ParticipantKind.PARTICIPANT_KIND_SIP
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# else noise_cancellation.BVC(),
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),
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),
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)
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await ctx.connect()
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if __name__ == "__main__":
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cli.run_app(server)
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