├── README.md
├── api.py
├── main.py
├── requirements.txt
└── sample.env


/README.md:
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 1 | # LiveKit-AI-Voice-Assitant
 2 | 
 3 | # 💻 Launch Your Software Development Career Today!  
 4 | 
 5 | 🎓 **No degree? No problem!** My program equips you with everything you need to break into tech and land an entry-level software development role.  
 6 | 
 7 | 🚀 **Why Join?**  
 8 | - 💼 **$70k+ starting salary potential**  
 9 | - 🕐 **Self-paced:** Complete on your own time  
10 | - 🤑 **Affordable:** Low risk compared to expensive bootcamps or degrees
11 | - 🎯 **45,000+ job openings** in the market  
12 | 
13 | 👉 **[Start your journey today!](https://techwithtim.net/dev)**  
14 | No experience needed—just your determination. Future-proof your career and unlock six-figure potential like many of our students have!  
15 | 


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/api.py:
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 1 | import enum
 2 | from typing import Annotated
 3 | from livekit.agents import llm
 4 | import logging
 5 | 
 6 | logger = logging.getLogger("temperature-control")
 7 | logger.setLevel(logging.INFO)
 8 | 
 9 | 
10 | class Zone(enum.Enum):
11 |     LIVING_ROOM = "living_room"
12 |     BEDROOM = "bedroom"
13 |     KITCHEN = "kitchen"
14 |     BATHROOM = "bathroom"
15 |     OFFICE = "office"
16 | 
17 | 
18 | class AssistantFnc(llm.FunctionContext):
19 |     def __init__(self) -> None:
20 |         super().__init__()
21 | 
22 |         self._temperature = {
23 |             Zone.LIVING_ROOM: 22,
24 |             Zone.BEDROOM: 20,
25 |             Zone.KITCHEN: 24,
26 |             Zone.BATHROOM: 23,
27 |             Zone.OFFICE: 21,
28 |         }
29 | 
30 |     @llm.ai_callable(description="get the temperature in a specific room")
31 |     def get_temperature(
32 |         self, zone: Annotated[Zone, llm.TypeInfo(description="The specific zone")]
33 |     ):
34 |         logger.info("get temp - zone %s", zone)
35 |         temp = self._temperature[Zone(zone)]
36 |         return f"The temperature in the {zone} is {temp}C"
37 | 
38 |     @llm.ai_callable(description="set the temperature in a specific room")
39 |     def set_temperature(
40 |         self,
41 |         zone: Annotated[Zone, llm.TypeInfo(description="The specific zone")],
42 |         temp: Annotated[int, llm.TypeInfo(description="The temperature to set")],
43 |     ):
44 |         logger.info("set temo - zone %s, temp: %s", zone, temp)
45 |         self._temperature[Zone(zone)] = temp
46 |         return f"The temperature in the {zone} is now {temp}C"
47 | 


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/main.py:
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 1 | import asyncio
 2 | 
 3 | from dotenv import load_dotenv
 4 | from livekit.agents import AutoSubscribe, JobContext, WorkerOptions, cli, llm
 5 | from livekit.agents.voice_assistant import VoiceAssistant
 6 | from livekit.plugins import openai, silero
 7 | from api import AssistantFnc
 8 | 
 9 | load_dotenv()
10 | 
11 | 
12 | async def entrypoint(ctx: JobContext):
13 |     initial_ctx = llm.ChatContext().append(
14 |         role="system",
15 |         text=(
16 |             "You are a voice assistant created by LiveKit. Your interface with users will be voice. "
17 |             "You should use short and concise responses, and avoiding usage of unpronouncable punctuation."
18 |         ),
19 |     )
20 |     await ctx.connect(auto_subscribe=AutoSubscribe.AUDIO_ONLY)
21 |     fnc_ctx = AssistantFnc()
22 | 
23 |     assitant = VoiceAssistant(
24 |         vad=silero.VAD.load(),
25 |         stt=openai.STT(),
26 |         llm=openai.LLM(),
27 |         tts=openai.TTS(),
28 |         chat_ctx=initial_ctx,
29 |         fnc_ctx=fnc_ctx,
30 |     )
31 |     assitant.start(ctx.room)
32 | 
33 |     await asyncio.sleep(1)
34 |     await assitant.say("Hey, how can I help you today!", allow_interruptions=True)
35 | 
36 | 
37 | if __name__ == "__main__":
38 |     cli.run_app(WorkerOptions(entrypoint_fnc=entrypoint))
39 | 


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/requirements.txt:
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1 | livekit-agents>=0.8.7
2 | livekit-plugins-openai>=0.8.1
3 | livekit-plugins-silero>=0.6.4
4 | python-dotenv~=1.0


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/sample.env:
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1 | LIVEKIT_URL=""
2 | LIVEKIT_API_SECRET=""
3 | LIVEKIT_API_KEY=""
4 | OPENAI_API_KEY=""


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