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Client error '404 Not Found' for url '<https://api...
# ask-ai
a
Client error '404 Not Found' for url 'https://api.openai.com/v1/' how to solve htis? using the package "livekit-agents[deepgram,openai,silero]>=1.1.0",
t
Thanks for reaching out, jrcks67. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
The 404 Not Found error for the URL 
<https://api.openai.com/v1/>
when using the 
livekit-agents[deepgram,openai,silero]>=1.1.0
package typically occurs because the OpenAI Realtime API endpoint and connection protocol are not correctly configured. To resolve this, you need to ensure: • The base URL for the OpenAI Realtime API should include the 
/realtime
endpoint and use a WebSocket connection via the 
wss://
protocol rather than 
https://
. • The API key is set correctly either as an environment variable (
OPENAI_API_KEY
) or passed explicitly. • You use the appropriate client setup, for example:
Copy code
from livekit.plugins import openai

realtime_model = openai.realtime.RealtimeModel(
    model="gpt-4o-realtime-preview"
)
The package will convert the base URL automatically to 
<wss://api.openai.com/v1/realtime?model=gpt-4o-realtime-preview>
internally. Also, ensure your package is up to date:
Copy code
pip install --upgrade "livekit-agents[deepgram,openai,silero]>=1.1.0"
If you are using Azure OpenAI, you should configure it with the Azure-specific parameters. Additional troubleshooting steps include verifying that your network allows WebSocket connections and that your API key has the correct permissions. This approach resolves the 404 error caused by incorrect REST endpoint usage instead of the required WebSocket endpoint for OpenAI Realtime API. Sources: README.md | OpenAI STT integration guide | LiveKit Docs
a
we dont get an option to set this up even The base URL for the OpenAI Realtime API should include the 
/realtime
endpoint and use a WebSocket connection via the 
wss://
protocol rather than 
https://
.
t
Hey there! I totally get that setting up WebSocket connections can feel a bit tricky. Good news: you don't actually need to manually set the full realtime endpoint URL. The OpenAI Realtime API connection is super flexible - you can just use the 
base_url
parameter when initializing the 
RealtimeModel
. Here's a cool behind-the-scenes detail: the package has this smart 
process_base_url
function that automatically converts your base URL (like `https://api.openai.com/v1`) into the right WebSocket URL (`wss://api.openai.com/v1/realtime?model=gpt-4`). It even adds the 
/realtime
path and switches to a secure WebSocket protocol - how neat is that? Let me show you an example:
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from livekit.plugins.openai import realtime

realtime_model = realtime.RealtimeModel(
    model="gpt-4",
    base_url="<https://api.openai.com/v1>",
    api_key="your-api-key"
)
See? No need to wrestle with complex URL settings. Just provide the base REST URL and your API key, and you're all set! Pro tip for Azure OpenAI users: this 
base_url
method works perfectly for you too, just use your Azure endpoint URL. Sources: tests/test_config.py | Azure OpenAI Realtime API and LiveKit | LiveKit Docs
a
we arent using stt we are only using tts and llm
t
Hey there! If you're just working with Text-to-Speech (TTS) and Large Language Model (LLM) components using 
livekit-agents[deepgram,openai,silero]>=1.1.0
without Speech-to-Text (STT), good news – you won't need any extra complicated setup. • Feel free to simply skip adding STT to your 
AgentSession
configuration. • Go ahead and set up your LLM and TTS plugins like you normally would – maybe OpenAI for LLM and a cool TTS option like Silero or OpenAI TTS. • Just a friendly tip: double-check that your LLM output plays nicely with your TTS input requirements. From what I can tell, there aren't any special quirks or roadblocks when you're leaving STT out of the mix. Sources: livekit-agents/livekit/agents/voice/agent.py
a
httpx.HTTPStatusError: Client error '404 Not Found' for url 'https://api.openai.com/v1/'
t
Hey there! I totally get how frustrating those pesky API errors can be. So, you're seeing a 
httpx.HTTPStatusError: 404 Not Found
when trying to connect to OpenAI? No worries, I can help you sort this out! The issue is actually pretty simple - when you're working with OpenAI's real-time API, you'll need to use a WebSocket URL that starts with 
wss://
. Think of it like speaking a specific "language" that the API understands. Here's what a correct endpoint looks like: 
<wss://api.openai.com/v1/realtime?model=gpt-4>
To fix this, when you're setting up your OpenAI Realtime client in 
livekit-agents
, just make sure you set the 
base_url
parameter right. Check out this example:
Copy code
realtime_model = RealtimeModel(
    model="gpt-4",
    base_url="<https://api.openai.com/v1>",
    api_key="your-api-key"
)
The cool part? The package will automatically convert your base URL to the correct WebSocket format, so you'll dodge that 404 error completely. Pretty neat, right? 😊
a
can you give me the docs for the samne>
t
Hey there! Let me help you navigate the tricky world of configuring the 
base_url
in the OpenAI 
RealtimeModel
. I know these technical details can be a bit confusing, so I'll break it down in a friendly way. 1. Think of the 
base_url
like the main entrance to the OpenAI API. You'll want to use the root endpoint, without the 
/realtime
path. For example: 
<https://api.openai.com/v1>
2. Don't worry about the WebSocket magic – the package will handle converting this to the right URL behind the scenes. 3. A quick heads up: avoid adding 
/realtime
manually. That'll just lead to some annoying 404 errors, and we definitely want to avoid those! 4. If you're using Azure OpenAI, no stress! Just set your 
base_url
to your Azure endpoint and use 
RealtimeModel.with_azure()
for the specific Azure settings. Here's a simple example for standard OpenAI setup:
Copy code
model = RealtimeModel(
    model="gpt-4",
    base_url="<https://api.openai.com/v1>",
    api_key="your-api-key"
)
And for my Azure friends:
Copy code
model = RealtimeModel.with_azure(
    azure_deployment="your-deployment",
    base_url="<https://your-azure-endpoint.openai.azure.com>"
)
Trust me, this setup will keep those pesky 404 errors at bay and make your realtime endpoint work smoothly. You've got this!
a
we are using a simple stt llm tts pipeline? somewhere within the libarary the openai base url initialization is failing either because we have set it incorectly in our code.
t
Hey there! I totally understand you're dealing with a tricky 404 error. Would you mind sharing the code snippet where you set up your OpenAI client or 
RealtimeModel
in your speech-to-text, language model, and text-to-speech workflow? I'd love to take a look and help you figure out what might be causing the issue. Sometimes these configuration details can be sneaky! 😊
a
# Create and start the agent session agent_session = AgentSession( vad=silero.VAD.load( min_silence_duration=0.3, min_speech_duration=0.2 ), stt=deepgram.STT( model="nova-2", api_key=os.getenv("DEEPGRAM_API_KEY") ), tts=lk_openai.TTS( model="tts-1", voice="alloy", speed=1.1 ), llm=lk_openai.LLM( model="gpt-4o-mini", )
t
Hey there! Thanks for reaching out about this. I totally get how frustrating 404 errors can be. Would you mind sharing a bit more about how you've set up your OpenAI clients? If you could walk me through the details of initializing your 
LLM
and 
TTS
clients—especially how you're handling the API key and whether you've configured any 
base_url
settings—that would help us get to the bottom of this together. I'm here to help!
a
from livekit.plugins import deepgram, silero from livekit.plugins import openai as lk_openai
t
Hey there! I totally get that you're running into a tricky 404 error, and I want to help you troubleshoot. Could you share the full details of how you've set up your OpenAI LLM and TTS components? I'd love to see your code for initializing everything, including any API keys or base URL settings, and how you're creating the AgentSession. The more details you can provide, the better we can track down what might be causing the issue.
a
that is handled by the livekit agents libary i have only defined it here and have env variables required as mentioned in the doc agent_session = AgentSession( vad=silero.VAD.load( min_silence_duration=0.3, min_speech_duration=0.2 ), stt=deepgram.STT( model="nova-2", api_key=os.getenv("DEEPGRAM_API_KEY") ), tts=lk_openai.TTS( model="tts-1", voice="alloy", speed=1.1 ), llm=lk_openai.LLM( model="gpt-4o-mini", ) )
t
Hey there! I totally understand how frustrating a 404 error can be. Let's troubleshoot this together and get things working smoothly. Here are a few things we can check: • Double-check that your 
OPENAI_API_KEY
is set up correctly and can be accessed by your runtime environment. • Make sure you're running the latest version of 
livekit-agents[deepgram,openai,silero]
(version 1.1.0 or newer) which has some important fixes for base URL processing. • If you've got any custom environment settings or proxy configurations, take a quick look to make sure they aren't causing any connection hiccups. The LiveKit library should handle the WebSocket endpoint conversion behind the scenes. If you're still seeing issues after checking these things, it might be worth reaching out to the LiveKit team for a deeper dive. I'm here if you need any more help!
a
which has some important fixes for base URL processing. can you give me details of these?
t
Hey there! I totally understand your frustration. The current documentation is a bit light on the details about base URL processing fixes in livekit-agents version 1.1.0. No worries, though – I'm here to help! If you could share any specific error messages or describe the challenges you're experiencing with base URL handling, I'll do my best to walk you through and find a solution together. 😊
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