If you want to create a website-rag service that will run in every room: 
meshagent service create --name "website-rag" --image docker.io/meshagent/sample-website-rag:0.0.31 --env="MESHAGENT_PORT=8090" --port "num=8090 type=meshagent.callable liveness=/ path=/agent participant_name=website-rag"
If you want to test the website-rag with a single room: 
meshagent service test --room my-room --name "website-rag" --image docker.io/meshagent/sample-website-rag:0.0.31 --env="MESHAGENT_PORT=8090" --port "num=8090 type=meshagent.callable liveness=/ path=/agent participant_name=website-rag"
Here is the website-rag service code if you want to create your own app: 
from meshagent.api import RequiredToolkit, RequiredSchema
from meshagent.agents.schemas.document import document_schema
from meshagent.tools.document_tools import (
    DocumentAuthoringToolkit,
    DocumentTypeAuthoringToolkit,
)
from meshagent.agents.chat import ChatBot
from meshagent.openai import OpenAIResponsesAdapter
from meshagent.agents.indexer import RagToolkit, SiteIndexer
from meshagent.api.services import ServiceHost

import asyncio

service = ServiceHost()


@service.path("/agent")
class RagChatBot(ChatBot):
    def __init__(self):
        super().__init__(
            name="meshagent.chatbot.website_rag",
            title="Website RAG chatbot",
            description="an simple chatbot that does rag, pair with an indexer",
            llm_adapter=OpenAIResponsesAdapter(
                model="gpt-4o-mini", parallel_tool_calls=None
            ),
            rules=[
                "after performing a rag search, do not include citations",
                "output document names MUST have the extension .document, automatically add the extension if it is not provided",
                "after opening a document, display it, before writing to it",
            ],
            requires=[
                RequiredSchema(name="document"),
                RequiredToolkit(
                    name="ui", tools=["ask_user", "display_document", "show_toast"]
                ),
                RequiredToolkit(
                    name="meshagent.markitdown", tools=["markitdown_from_file"]
                ),
            ],
            toolkits=[
                DocumentAuthoringToolkit(),
                DocumentTypeAuthoringToolkit(
                    schema=document_schema, document_type="document"
                ),
                RagToolkit(table="index"),
            ],
            labels=["chatbot", "rag"],
        )


@service.path("/indexer")
class SampleSiteIndexer(SiteIndexer):
    def __init__(self):
        super().__init__(
            name="meshagent.site_indexer",
            title="site indexer",
            description="indexes a site using firecrawl, pair with a RAG chatbot",
            labels=["tasks", "rag"],
        )


asyncio.run(service.run())