I want to create a dynamic ai agent in python using rest apis and store that configuration in databse\

Thanks for reaching out, Abdul. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

I will make a request in which my paylaod is defined like llm, stt, tts. And when created i want to store the agent configuration and next time when i need that agant i simply use it. no need to create from start.

To create and store an AI agent configuration in Python with components like LLM, STT, and TTS, and reuse it later without recreating it, I've got you covered! Let me walk you through this in a friendly, step-by-step way. 1. Persist the Configuration: Think of this like saving a recipe so you don't have to start from scratch every time. You'll want to use a storage system—like a database or file storage—to keep your agent's setup. Here's a cool example of saving a vector index:

# Check if storage already exists
PERSIST_DIR = THIS_DIR / "retrieval-engine-storage"
if not PERSIST_DIR.exists():
    # Load the documents and create the index
    documents = SimpleDirectoryReader(THIS_DIR / "data").load_data()
    index = VectorStoreIndex.from_documents(documents)
    # Store it for later
    index.storage_context.persist(persist_dir=PERSIST_DIR)
else:
    # Load the existing index
    storage_context = StorageContext.from_defaults(persist_dir=PERSIST_DIR)
    index = load_index_from_storage(storage_context)

2. Define the Agent Class: This is where you'll set up your agent with all its cool components. It's like assembling your dream team of AI capabilities:

class RetrievalAgent(Agent):
    def __init__(self, index: VectorStoreIndex):
        super().__init__(
            instructions="You are a voice assistant created by LiveKit...",
            vad=silero.VAD.load(),
            stt=deepgram.STT(),
            llm=openai.LLM(),
            tts=openai.TTS(),
        )
        self.index = index

3. Reuse the Configuration: Now comes the magic—you can easily bring back your agent's setup without rebuilding everything from scratch. This saves you time and computing power! Need more details or have a specific scenario in mind? I'm here to help you navigate this AI configuration journey. Just give me a shout! 😊 Sources: GitHub::livekit::agents | examples/voice_agents/llamaindex-rag/query_engine...

like in elevenlabs after creating agent i get the webhook where i can connect. but in live kit how i can do that.

Hey there! I want to make sure I understand exactly what you're trying to do with your LiveKit webhook. Are you wanting to set it up to receive events or to trigger actions with your agent? And would you like some help walking through the configuration or integration steps? Just let me know, and I'll be happy to guide you through the process! 😊

Want to create a livekit agnet. and in return it should give me some url where i can connect and chat. and it should be running 24/7 so when even i want i can connect to it

I don't have the answer you're looking for. You could also try asking your question: • in one of the other Slack channels or • to https://deepwiki.com/livekit/livekit_composite which is trained on all LiveKit source code If you find the answer, please post it here to help others!