#openai-realtime-console

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stiff dune
#

i want only for chat not for audio can you provide me code for that openai-realtime-console

calm cobaltBOT
#

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

#

To use the OpenAI Realtime API for chat without audio, you can configure your session to only use the text modality. Below is an example of how you might set up a WebSocket connection and send a text-based message using the Realtime API. This example is based on the knowledge sources provided:

  1. Create a WebSocket connection to the Realtime API:
import os
import json
import websocket

OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")

url = "wss://api.openai.com/v1/realtime?model=gpt-4o-realtime-preview-2024-12-17"
headers = [
    "Authorization: Bearer " + OPENAI_API_KEY,
    "OpenAI-Beta: realtime=v1"
]

def on_open(ws):
    print("Connected to server.")

def on_message(ws, message):
    data = json.loads(message)
    print("Received event:", json.dumps(data, indent=2))

ws = websocket.WebSocketApp(
    url,
    header=headers,
    on_open=on_open,
    on_message=on_message,
)

ws.run_forever()
  1. Send a text message to the model:
event = {
    "type": "conversation.item.create",
    "item": {
        "type": "message",
        "role": "user",
        "content": [
            {
                "type": "input_text",
                "text": "Hello! How are you?"
            }
        ]
    }
}
ws.send(json.dumps(event))
  1. Request a text-only response from the model:
event = {
    "type": "response.create",
    "response": {
        "modalities": ["text"]
    }
}
ws.send(json.dumps(event))
  1. Listen for the final response:
def handleEvent(e):
    serverEvent = json.loads(e.data)
    if serverEvent['type'] == "response.done":
        print(serverEvent['response']['output'][0])

# Assuming you have a WebSocket connection set up
ws.on_message = handleEvent
#

This setup will allow you to interact with the OpenAI Realtime API using text only, without audio. For more details, you can refer to the Realtime API documentation.

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

#

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

stiff dune
#

@calm cobalt can u also provide code for websocket so use live chat openai-realtime-console because we already have voice to voice chat bot know we need to focus on live chat to chat bot

calm cobaltBOT
#

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

#

To set up a live chat using the OpenAI Realtime API with WebSockets, you can follow the steps below. This example focuses on text-based chat without audio, using Python's websocket-client library.

Step-by-Step Guide

  1. Install the websocket-client library if you haven't already:

    pip install websocket-client

  2. Create a WebSocket connection to the Realtime API:

    import os
import json
import websocket

OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")

url = "wss://api.openai.com/v1/realtime?model=gpt-4o-realtime-preview-2024-12-17"
headers = [
    "Authorization: Bearer " + OPENAI_API_KEY,
    "OpenAI-Beta: realtime=v1"
]

def on_open(ws):
    print("Connected to server.")

def on_message(ws, message):
    data = json.loads(message)
    print("Received event:", json.dumps(data, indent=2))

ws = websocket.WebSocketApp(
    url,
    header=headers,
    on_open=on_open,
    on_message=on_message,
)

ws.run_forever()

  3. Send a user message to the model:

    def send_user_message(ws, text):
    event = {
        "type": "conversation.item.create",
        "item": {
            "type": "message",
            "role": "user",
            "content": [
                {
                    "type": "input_text",
                    "text": text
                }
            ]
        }
    }
    ws.send(json.dumps(event))

# Example usage
send_user_message(ws, "Hello! How are you?")

  4. Request a text-only response from the model:

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

Example usage

request_text_response(ws)


5. **Handle the final response**:

```python
def handle_event(e):
    server_event = json.loads(e.data)
    if server_event['type'] == "response.done":
        print("Assistant response:", server_event['response']['output'][0])

# Assuming you have a WebSocket connection set up
ws.on_message = handle_event

This setup will allow you to create a live chat application using the OpenAI Realtime API with WebSockets. For more details, you can refer to the Realtime API documentation.

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

#

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

calm cobaltBOT
#

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

#

Certainly! Let's review the code provided for setting up a live chat using the OpenAI Realtime API with WebSockets. I'll break it down step-by-step to ensure everything is correct.

Code Review

  1. Install the websocket-client library:

    pip install websocket-client

    This step is correct. You need this library to handle WebSocket connections in Python.

  2. Create a WebSocket connection:

    import os
import json
import websocket

OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")

url = "wss://api.openai.com/v1/realtime?model=gpt-4o-realtime-preview-2024-12-17"
headers = [
    "Authorization: Bearer " + OPENAI_API_KEY,
    "OpenAI-Beta: realtime=v1"
]

def on_open(ws):
    print("Connected to server.")

def on_message(ws, message):
    data = json.loads(message)
    print("Received event:", json.dumps(data, indent=2))

ws = websocket.WebSocketApp(
    url,
    header=headers,
    on_open=on_open,
    on_message=on_message,
)

ws.run_forever()
    • Connection URL and Headers: The URL and headers are correctly set up for connecting to the OpenAI Realtime API.
    • Event Handlers: The on_open and on_message functions are correctly defined to handle connection events and incoming messages.

  3. Send a user message:

    def send_user_message(ws, text):
    event = {
        "type": "conversation.item.create",
        "item": {
            "type": "message",
            "role": "user",
            "content": [
                {
                    "type": "input_text",
                    "text": text
                }
            ]
        }
    }
    ws.send(json.dumps(event))

# Example usage
send_user_message(ws, "Hello! How are you?")
#
  • Function Definition: The function send_user_message is correctly defined to send a user message to the WebSocket.
    • JSON Structure: The JSON structure for the event is correct.

  1. Request a text-only response:

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

# Example usage
request_text_response(ws)
    • Function Definition: The function request_text_response is correctly defined to request a text-only response from the model.
    • JSON Structure: The JSON structure for the event is correct.

  2. Handle the final response:

    def handle_event(e):
    server_event = json.loads(e.data)
    if server_event['type'] == "response.done":
        print("Assistant response:", server_event['response']['output'][0])

# Assuming you have a WebSocket connection set up
ws.on_message = handle_event
    • Event Handling: The function handle_event is correctly set up to handle the final response from the server.
    • JSON Parsing: The JSON parsing and condition checking are correct.

Conclusion

#

The code provided is correctly set up for a live chat application using the OpenAI Realtime API with WebSockets. It handles connection setup, sending user messages, requesting responses, and processing incoming events appropriately. If you encounter any issues, ensure that your API key is correctly set in the environment variable and that the WebSocket connection is stable. For more details, refer to the Realtime API documentation.

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

#

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

stiff dune
#

@calm cobalt 2025-02-24 16:52:52,929 - routers.oa - ERROR - Error initiating chat session: CHAT
INFO: 127.0.0.1:52072 - "GET /oa/initiateChat?agent_id=1&self=self HTTP/1.1" 500 Internal Server ErrorGET
/oa/initiateChat
Initiate Chat

Parameters
Cancel
Name Description
agent_id *
integer
(query)
1
self *
(query)
self
Execute
Clear
Responses
Curl

curl -X 'GET'
'http://127.0.0.1:8000/oa/initiateChat?agent_id=1&self=self'
-H 'accept: application/json'
-H 'Authorization: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJtb2JpbGUiOiIrOTE5MTQ4MTUzNzQ4IiwiZXhwIjoxNzQxMDAwOTUwfQ.O9HVTexCqhj-4_F8Kq2j0U13QmFtVoo39WsiARiUwSo'
Request URL
http://127.0.0.1:8000/oa/initiateChat?agent_id=1&self=self
Server response
Code Details
500
Undocumented
Error: Internal Server Error

Response body
Download
"err_internal_server"
Response headers
content-length: 21
content-type: application/json
date: Mon,24 Feb 2025 11:22:52 GMT
server: uvicorn

calm cobaltBOT
#

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

#

The error message you are encountering indicates a 500 Internal Server Error when trying to initiate a chat session using the endpoint <http://127.0.0.1:8000/oa/initiateChat?agent_id=1&self=self.> This type of error typically means that something went wrong on the server side. Here are some steps you can take to troubleshoot and resolve the issue:

Troubleshooting Steps

  1. Check Server Logs: Since this is a server-side error, the first step is to check the server logs for more detailed error messages. The logs might provide specific information about what went wrong during the request.

  2. Verify Endpoint and Parameters: Ensure that the endpoint URL and parameters are correct. Double-check that agent_id and self are being passed correctly and that they are valid.

  3. Inspect Authorization: The request includes an Authorization header with a token. Verify that this token is correct, not expired, and has the necessary permissions to access the endpoint.

  4. Review Server Code: If you have access to the server code, review the logic in the initiateChat function or route handler. Look for any potential issues that could cause an internal server error, such as unhandled exceptions or incorrect logic.

  5. Test with Curl: You can use the provided curl command to test the endpoint from the command line. This can help determine if the issue is with the client or the server:

    curl -X 'GET' \
  '<http://127.0.0.1:8000/oa/initiateChat?agent_id=1&self=self'> \
  -H 'accept: application/json' \
  -H 'Authorization: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJtb2JpbGUiOiIrOTE5MTQ4MTUzNzQ4IiwiZXhwIjoxNzQxMDAwOTUwfQ.O9HVTexCqhj-4_F8Kq2j0U13QmFtVoo39WsiARiUwSo'
#

  1. Check Dependencies: Ensure that all server dependencies are correctly installed and up to date. Sometimes, missing or outdated dependencies can cause server errors.

  2. Consult Documentation: If available, consult the documentation for the API or service you are using to ensure that you are using the endpoint correctly.

If these steps do not resolve the issue, you may need to provide more context or consult with a developer familiar with the server's implementation. If you have access to support or a community forum, consider reaching out for additional assistance.

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