RTCErrorEvent | OpenAI | Page 1

warm shellBOT Feb 20, 2025, 10:53 AM

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Hi @silent parcel. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

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Hmm, I don't know enough to give you a confident answer yet. However, you might find helpful information in the OpenAI Realtime API documentation or the API reference. These resources might provide insights into handling errors related to WebRTC connections.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

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@silent parcel Kapa.ai is still learning and improving, please let me know how I did by reacting below.

silent parcel Feb 20, 2025, 10:54 AM

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@warm shell can u please check this code

📎 message.txt

warm shellBOT Feb 20, 2025, 10:54 AM

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Let me check the knowledge base for you again. One moment! :books:

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I'm here to help with questions related to OpenAI, but I can only provide code or links that are included in the knowledge sources provided. If you have a specific piece of code from the knowledge sources you'd like me to check, please share it, and I'll do my best to assist you. If your code isn't from the knowledge sources, I recommend checking the OpenAI documentation for guidance.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

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@silent parcel Kapa.ai is still learning and improving, please let me know how I did by reacting below.

silent parcel Feb 20, 2025, 10:55 AM

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@warm shell i am using realtime api only here we have voice to voice know we are focusing on chat to chat so please look into my code

warm shellBOT Feb 20, 2025, 10:55 AM

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Let me check the knowledge base for you again. One moment! :books:

#

To implement a chat-to-chat interaction using the OpenAI Realtime API, you can follow the steps outlined in the knowledge sources. Here's a basic example of how you can create a text conversation using the Realtime API:

Create a Conversation Item: You can add a text input to the current conversation using the conversation.item.create client event. This is similar to sending a user message in chat completions.

const event = {
  type: "conversation.item.create",
  item: {
    type: "message",
    role: "user",
    content: [
      {
        type: "input_text",
        text: "What Prince album sold the most copies?",
      }
    ]
  }
};

// WebRTC data channel and WebSocket both have .send()
dataChannel.send(JSON.stringify(event));

event = {
    "type": "conversation.item.create",
    "item": {
        "type": "message",
        "role": "user",
        "content": [
            {
                "type": "input_text",
                "text": "What Prince album sold the most copies?",
            }
        ]
    }
}
ws.send(json.dumps(event))

Generate a Response: After adding the user message to the conversation, send the response.create event to initiate a response from the model. If you want to generate text only, specify that in the response.create client event.

const event = {
  type: "response.create",
  response: {
    modalities: [ "text" ]
  }
};

// WebRTC data channel and WebSocket both have .send()
dataChannel.send(JSON.stringify(event));

event = {
    "type": "response.create",
    "response": {
        "modalities": [ "text" ]
    }
}
ws.send(json.dumps(event))

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Listen for the Response: When the response is completely finished, the server will emit the response.done event. This event will contain the full text generated by the model.

function handleEvent(e) {
  const serverEvent = JSON.parse(e.data);
  if (serverEvent.type === "response.done") {
    console.log(serverEvent.response.output[0]);
  }
}

// Listen for server messages (WebRTC)
dataChannel.addEventListener("message", handleEvent);

These steps should help you set up a chat-to-chat interaction using the Realtime API. For more detailed information, you can refer to the Realtime model capabilities documentation.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@silent parcel Kapa.ai is still learning and improving, please let me know how I did by reacting below.

silent parcel Feb 20, 2025, 11:19 AM

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@warm shell please check this code is this correct // Initiate chat
const initiateChat = async() => {
console.log("initiateChat")
setisTestCall(false)
setisWebCallActive(true);
setisAnimateWebCallBtn(true);
try{
const data = await getRealtimeSessionData();
const pc = new RTCPeerConnection();
pcRef.current = pc;

  const audioContext = new AudioContext();
  const oscillator = audioContext.createOscillator();
  const dst = oscillator.connect(audioContext.createMediaStreamDestination());
  oscillator.start();
  const track = dst.stream.getAudioTracks()[0];
  pc.addTrack(track);

  // Set up data channel
  const dc = pc.createDataChannel("oai-events");
  dc.onopen = () => {
    console.log("Data channel is open");
  };

  dc.onclose = () => {
    console.log("Data channel is closed");
  };

  dc.onerror = (error) => {
    console.error('Data channel error:', error);
  };

  dc.addEventListener("message", (e) => {
    const realtimeEvent = JSON.parse(e.data);
    switch (realtimeEvent.type) {

      case 'response.output_item.done':
        console.log("response.output_item.done")
        console.log(realtimeEvent.item.content)
        if(realtimeEvent.item.content[0].transcript != null){
          setMessages((prevMessages) => [...prevMessages, { 
            message: realtimeEvent.item.content[0].transcript, 
            role: "AI",
            time: new Date().toLocaleTimeString([], {hour: '2-digit', minute: '2-digit'}).replace("AM","").replace("PM","")
          }]);
        }
        break;
    }
  });
  dcRef.current = dc;

warm shellBOT Feb 20, 2025, 11:19 AM

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Let me check the knowledge base for you again. One moment! :books:

#

Based on the knowledge sources provided, your code snippet for initiating a chat using the OpenAI Realtime API with WebRTC seems mostly correct. Here are a few points to consider:

RTCPeerConnection: You are correctly creating a new RTCPeerConnection and adding an audio track. This is consistent with the setup for handling audio with WebRTC as described in the Realtime API with WebRTC guide.
Data Channel: You are setting up a data channel named "oai-events" and handling its open, close, and error events. This aligns with the example provided in the sending and receiving events section.
Handling Messages: You are listening for messages on the data channel and processing events of type response.output_item.done. This is a reasonable approach to handle responses from the Realtime API.

Here is your code snippet with some minor formatting adjustments for clarity:

// Initiate chat
const initiateChat = async () => {
  console.log("initiateChat");
  setisTestCall(false);
  setisWebCallActive(true);
  setisAnimateWebCallBtn(true);
  try {
    const data = await getRealtimeSessionData();
    const pc = new RTCPeerConnection();
    pcRef.current = pc;

    const audioContext = new AudioContext();
    const oscillator = audioContext.createOscillator();
    const dst = oscillator.connect(audioContext.createMediaStreamDestination());
    oscillator.start();
    const track = dst.stream.getAudioTracks()[0];
    pc.addTrack(track);

    // Set up data channel
    const dc = pc.createDataChannel("oai-events");
    dc.onopen = () => {
      console.log("Data channel is open");
    };

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dc.onclose = () => {
console.log("Data channel is closed");
};

dc.onerror = (error) => {
  console.error('Data channel error:', error);
};

dc.addEventListener("message", (e) => {
  const realtimeEvent = JSON.parse(e.data);
  switch (realtimeEvent.type) {
    case 'response.output_item.done':
      console.log("response.output_item.done");
      console.log(realtimeEvent.item.content);
      if (realtimeEvent.item.content[0].transcript != null) {
        setMessages((prevMessages) => [...prevMessages, { 
          message: realtimeEvent.item.content[0].transcript, 
          role: "AI",
          time: new Date().toLocaleTimeString([], {hour: '2-digit', minute: '2-digit'}).replace("AM","").replace("PM","")
        }]);
      }
      break;
  }
});
dcRef.current = dc;

} catch (error) {
console.error("Error initiating chat:", error);
}
};


Make sure that your `getRealtimeSessionData` function is correctly fetching the necessary session data, and that you handle any potential errors in the `try-catch` block. For more detailed guidance, you can refer to the [OpenAI Realtime API documentation](<https://platform.openai.com/docs/guides/realtime-webrtc>).
----------------------
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
----------------------

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@silent parcel Kapa.ai is still learning and improving, please let me know how I did by reacting below.

silent parcel Feb 20, 2025, 11:21 AM

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@warm shell this is my // Get realtime session from open ai
const getRealtimeSessionData = async() => {
try{
const baseURL = import.meta.env.VITE_BASE_API_URL;
const tokenResponse = await fetch(baseURL+"/oa/getRealtimeSession?self=self&agent_id="+agentId,{
headers: {
Authorization: Bearer ${user.token},
"Content-Type": "application/json",
}
});
const data = await tokenResponse.json();
const EPHEMERAL_KEY = data.client_secret.value;
return data;
}catch (error) {
console.error("Error getRealtimeSessionData", error);
}
} u asked is this correct

warm shellBOT Feb 20, 2025, 11:21 AM

#

Let me check the knowledge base for you again. One moment! :books:

#

Your getRealtimeSessionData function is designed to fetch a realtime session from your server, which in turn should be obtaining an ephemeral key from the OpenAI API. Here are a few points to consider:

Endpoint and Authorization: Ensure that the baseURL and the endpoint /oa/getRealtimeSession are correctly set up on your server to handle the request and return the expected data. The server should be using a standard API key to request an ephemeral key from OpenAI, as described in the Creating an ephemeral token guide.
Error Handling: You have a try-catch block to handle errors, which is good practice. Ensure that any errors are logged or handled appropriately to aid in debugging.
Return Value: The function returns the data object, which should contain the client_secret with the ephemeral key. Make sure that your server is correctly returning this structure.

Here's your function with some minor formatting adjustments:

// Get realtime session from OpenAI
const getRealtimeSessionData = async () => {
  try {
    const baseURL = import.meta.env.VITE_BASE_API_URL;
    const tokenResponse = await fetch(`${baseURL}/oa/getRealtimeSession?self=self&agent_id=${agentId}`, {
      headers: {
        Authorization: `Bearer ${user.token}`,
        "Content-Type": "application/json",
      }
    });
    const data = await tokenResponse.json();
    const EPHEMERAL_KEY = data.client_secret.value;
    return data;
  } catch (error) {
    console.error("Error getRealtimeSessionData", error);
  }
};

#

Ensure that your server-side implementation is correctly set up to interact with the OpenAI API and return the necessary data. For more details, you can refer to the OpenAI Realtime API documentation.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@silent parcel Kapa.ai is still learning and improving, please let me know how I did by reacting below.

silent parcel Feb 20, 2025, 11:43 AM

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@warm shell i am getting this error AgentTesting.jsx:190 Data channel error:
RTCErrorEvent {isTrusted: true, error: OperationError: User-Initiated Abort, reason=, type: 'error', target: RTCDataChannel, currentTarget: RTCDataChannel, …}
isTrusted
:
true
bubbles
:
false
cancelBubble
:
false
cancelable
:
false
composed
:
false
currentTarget
:
RTCDataChannel {label: 'oai-events', ordered: true, maxPacketLifeTime: null, maxRetransmits: null, send: ƒ, …}
defaultPrevented
:
false
error
:
OperationError: User-Initiated Abort, reason=
eventPhase
:
0
returnValue
:
true
srcElement
:
RTCDataChannel {label: 'oai-events', ordered: true, maxPacketLifeTime: null, maxRetransmits: null, send: ƒ, …}
target
:
RTCDataChannel {label: 'oai-events', ordered: true, maxPacketLifeTime: null, maxRetransmits: null, send: ƒ, …}
timeStamp
:
20161.300000071526
type
:
"error"
[[Prototype]]
:
RTCErrorEvent

warm shellBOT Feb 20, 2025, 11:43 AM

#

Let me check the knowledge base for you again. One moment! :books:

#

The error you're encountering, RTCErrorEvent with an OperationError: User-Initiated Abort, suggests that the data channel was closed or aborted by the user or application logic. This can happen for several reasons, such as:

Explicit Abort: If your application logic includes a mechanism to abort the connection, such as calling abort() on an AbortController associated with the data channel, this could trigger the error.
Connection Closure: The data channel might be closing due to the peer connection being closed. Ensure that the peer connection remains open for the duration of the data channel's use.
Error Handling: Check if there are any conditions in your code that might lead to the data channel being closed prematurely, such as error handling logic that closes the connection on certain conditions.

To troubleshoot this issue, consider the following steps:

Review Application Logic: Ensure that there are no unintended calls to abort or close the data channel or peer connection.
Check Network Conditions: Network instability can sometimes lead to connection issues. Ensure that the network conditions are stable.
Debugging: Add more logging around the data channel and peer connection lifecycle to identify where the abort might be initiated.

For more detailed guidance, you can refer to the OpenAI Realtime API documentation and ensure that your implementation aligns with the recommended practices. If the issue persists, reviewing the server-side logic that interacts with the OpenAI API might also be helpful.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@silent parcel Kapa.ai is still learning and improving, please let me know how I did by reacting below.

silent parcel Feb 20, 2025, 11:47 AM

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@warm shell initiateChat
AgentTesting.jsx:265 Data channel not ready. Current state: undefined
(anonymous) @ @sentry_react.js?v=fbf2af06:6267
sendTextInput @ AgentTesting.jsx:265
callCallback2 @ chunk-RY6NLCXT.js?v=fbf2af06:3674
sentryWrapped @ @sentry_react.js?v=fbf2af06:7741
invokeGuardedCallbackDev @ chunk-RY6NLCXT.js?v=fbf2af06:3699
invokeGuardedCallback @ chunk-RY6NLCXT.js?v=fbf2af06:3733
invokeGuardedCallbackAndCatchFirstError @ chunk-RY6NLCXT.js?v=fbf2af06:3736
executeDispatch @ chunk-RY6NLCXT.js?v=fbf2af06:7014
processDispatchQueueItemsInOrder @ chunk-RY6NLCXT.js?v=fbf2af06:7034
processDispatchQueue @ chunk-RY6NLCXT.js?v=fbf2af06:7043
dispatchEventsForPlugins @ chunk-RY6NLCXT.js?v=fbf2af06:7051
(anonymous) @ chunk-RY6NLCXT.js?v=fbf2af06:7174
batchedUpdates$1 @ chunk-RY6NLCXT.js?v=fbf2af06:18913
batchedUpdates @ chunk-RY6NLCXT.js?v=fbf2af06:3579
dispatchEventForPluginEventSystem @ chunk-RY6NLCXT.js?v=fbf2af06:7173
dispatchEventWithEnableCapturePhaseSelectiveHydrationWithoutDiscreteEventReplay @ chunk-RY6NLCXT.js?v=fbf2af06:5478
dispatchEvent @ chunk-RY6NLCXT.js?v=fbf2af06:5472
dispatchDiscreteEvent @ chunk-RY6NLCXT.js?v=fbf2af06:5449
sentryWrapped @ @sentry_react.js?v=fbf2af06:7741Understand this errorAI
AgentTesting.jsx:172 ICE connection state: checking
AgentTesting.jsx:247 WebRTC connection successfully established
AgentTesting.jsx:176 Connection state: connecting
AgentTesting.jsx:172 ICE connection state: connected
AgentTesting.jsx:176 Connection state: connected
AgentTesting.jsx:181 Data channel open and ready for communication
AgentTesting.jsx:196 Received event: session.created {type: 'session.created', event_id: 'event_B2zIookEReF5FEjqOEEpH', session: {…}}
AgentTesting.jsx:196 Received event: session.updated {type: 'session.updated', event_id: 'event_B2zIoQitfA34L0fJZeWEl', session: {…}}

warm shellBOT Feb 20, 2025, 11:47 AM

#

Let me check the knowledge base for you again. One moment! :books:

#

The error message "Data channel not ready. Current state: undefined" suggests that there might be an issue with the timing of when you're trying to send data over the WebRTC data channel. Here are some steps and considerations to help address this issue:

Ensure Data Channel is Open: Before sending any data, make sure that the data channel is fully open. You can do this by checking the state of the data channel and only proceeding when it is in the "open" state.
```
if (dc.readyState === "open") {
  // Send data
} else {
  console.log("Data channel not ready. Current state:", dc.readyState);
}
```

Event Listeners: Set up event listeners for the data channel to log its state changes. This can help you debug and ensure that you only attempt to send data when the channel is ready.

dc.onopen = () => {
  console.log("Data channel is open and ready for communication");
};

dc.onclose = () => {
  console.log("Data channel is closed");
};

dc.onerror = (error) => {
  console.error('Data channel error:', error);
};

Connection Lifecycle: From your logs, it seems that the WebRTC connection is being established correctly, as indicated by the "ICE connection state: connected" and "Connection state: connected" messages. Ensure that your logic to send data is triggered after these states are confirmed.
Session Events: You are receiving session.created and session.updated events, which indicate that the session is being set up correctly. Make sure that any data sending logic is executed after these events are processed.
Debugging: Add additional logging around the points where you attempt to send data to capture the state of the data channel at those times. This can help identify if there are any race conditions or timing issues.

#

If you continue to experience issues, reviewing the OpenAI Realtime API documentation might provide further insights into handling WebRTC connections and data channels effectively.

#RTCErrorEvent

Hmm, I don't know enough to give you a confident answer yet. However, you might find helpful information in the OpenAI Realtime API documentation or the API reference. These resources might provide insights into handling errors related to WebRTC connections.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

These steps should help you set up a chat-to-chat interaction using the Realtime API. For more detailed information, you can refer to the Realtime model capabilities documentation.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

Ensure that your server-side implementation is correctly set up to interact with the OpenAI API and return the necessary data. For more details, you can refer to the OpenAI Realtime API documentation.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

For more detailed guidance, you can refer to the OpenAI Realtime API documentation and ensure that your implementation aligns with the recommended practices. If the issue persists, reviewing the server-side logic that interacts with the OpenAI API might also be helpful.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

If you continue to experience issues, reviewing the OpenAI Realtime API documentation might provide further insights into handling WebRTC connections and data channels effectively.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: