#chat openai realtime
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Hi @subtle shuttle. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:
To create a chatbot using the OpenAI Realtime API, you can follow the steps outlined in the knowledge sources. Below is a Python example using the OpenAI Realtime API with WebSockets for a text-only chat. This example demonstrates how to create a session, send a user message, and receive a response from the model.
import openai
# 1. Create or configure your OpenAI client (assuming you have an API key).
client = openai.OpenAI(api_key="YOUR_API_KEY")
# 2. Optionally create a session with some configuration if you want:
session = client.beta.realtime.sessions.create(
model="gpt-4o-realtime-preview",
instructions="You are a friendly assistant. Respond with short answers.",
modalities=["text"], # We only want text responses for this example
)
# 3. Open a Realtime WebSocket connection
with client.beta.realtime.connect(model="gpt-4o-realtime-preview") as connection:
# 4. (Optional) Immediately update session config if you want
connection.session.update(session={
"instructions": "Please respond in very short phrases.",
# other fields you want to override, like temperature, etc.
})
# 5. Send a user message into the conversation
connection.conversation.item.create(item={
"type": "user",
"text": "Hello! How are you?"
})
# 6. Instruct the model to create a response
connection.response.create()
# 7. Receive events. We'll read until we get the final "response.done" event.
for event in connection:
print(f"Received event: {event.type}")
if event.type == "conversation.item.created":
# Might contain the text or partial text from the assistant
if event.item and event.item.type == "assistant" and event.item.text:
print("Assistant says:", event.item.text)
if event.type == "response.done":
# The model finished replying
break
This code sets up a simple text-based chat using the OpenAI Realtime API. It creates a session, sends a user message, and listens for the model's response. Make sure to replace `"YOUR_API_KEY"` with your actual OpenAI API key.
For more details, you can refer to the [Realtime API documentation](<https://platform.openai.com/docs/guides/realtime>).
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@subtle shuttle Kapa.ai is still learning and improving, please let me know how I did by reacting below.
@raw urchin can u provide me full code for WebSocket
Let me check the knowledge base for you again. One moment! :books:
To set up a WebSocket connection with the OpenAI Realtime API, you can use the websocket-client library in Python. Below is a complete example of how to connect to the Realtime API using WebSockets, send a request, and handle incoming messages.
# example requires websocket-client library:
# pip install websocket-client
import os
import json
import websocket
# Set your OpenAI API key
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
# Define the WebSocket URL with the model ID
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"
]
# Define the on_open function to send a request when the connection opens
def on_open(ws):
print("Connected to server.")
event = {
"type": "response.create",
"response": {
"modalities": ["text"],
"instructions": "Please assist the user."
}
}
ws.send(json.dumps(event))
# Define the on_message function to handle incoming messages
def on_message(ws, message):
data = json.loads(message)
print("Received event:", json.dumps(data, indent=2))
# Create a WebSocketApp instance and run it
ws = websocket.WebSocketApp(
url,
header=headers,
on_open=on_open,
on_message=on_message,
)
ws.run_forever()
This code connects to the OpenAI Realtime API using WebSockets, sends a request to generate a text response, and prints any received events. Make sure to replace OPENAI_API_KEY with your actual API key, and ensure the websocket-client library is installed in your environment.
For more details, you can refer to the Realtime API with WebSockets documentation.
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@subtle shuttle Kapa.ai is still learning and improving, please let me know how I did by reacting below.
@raw urchin can u provide me initial session code
Let me check the knowledge base for you again. One moment! :books:
To create an initial session with the OpenAI Realtime API, you can use the following code snippet. This example demonstrates how to set up a session with specific instructions and modalities using a POST request.
curl -X POST <https://api.openai.com/v1/realtime/sessions> \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4o-realtime-preview-2024-12-17",
"modalities": ["audio", "text"],
"instructions": "You are a friendly assistant."
}'
This code uses curl to send a POST request to the OpenAI API, creating a session with both audio and text modalities and setting the initial instructions for the assistant. Replace $OPENAI_API_KEY with your actual API key.
For more information, you can refer to the Realtime API documentation.
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@subtle shuttle Kapa.ai is still learning and improving, please let me know how I did by reacting below.
@raw urchin code in python
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To create an initial session with the OpenAI Realtime API in Python, you can use the openai library. Below is an example of how to set up a session with specific instructions and modalities:
import openai
# Set your OpenAI API key
api_key = "YOUR_API_KEY"
# Initialize the OpenAI client
client = openai.OpenAI(api_key=api_key)
# Create a session with specific configurations
session = client.beta.realtime.sessions.create(
model="gpt-4o-realtime-preview-2024-12-17",
modalities=["audio", "text"],
instructions="You are a friendly assistant."
)
# Print the session details
print("Session created:", session)
This code snippet initializes a session with both audio and text modalities and sets the initial instructions for the assistant. Make sure to replace "YOUR_API_KEY" with your actual OpenAI API key.
For more details, you can refer to the Realtime API documentation.
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@subtle shuttle Kapa.ai is still learning and improving, please let me know how I did by reacting below.
@raw urchin please check this code
Let me check the knowledge base for you again. One moment! :books:
Hmm, I don't know enough to give you a confident answer yet. You might want to check the Realtime API documentation for more detailed information and examples. If you have specific questions or issues with the code, feel free to provide more details!
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@subtle shuttle Kapa.ai is still learning and improving, please let me know how I did by reacting below.
@raw urchin please correct the code and gave me full code
Let me check the knowledge base for you again. One moment! :books:
To create an initial session with the OpenAI Realtime API in Python, you can use the openai library. Below is a corrected and complete example of how to set up a session with specific instructions and modalities:
import openai
# Set your OpenAI API key
api_key = "YOUR_API_KEY"
# Initialize the OpenAI client
client = openai.OpenAI(api_key=api_key)
# Create a session with specific configurations
session = client.beta.realtime.sessions.create(
model="gpt-4o-realtime-preview",
modalities=["audio", "text"],
instructions="You are a friendly assistant."
)
# Print the session details
print("Session created:", session)
This code snippet initializes a session with both audio and text modalities and sets the initial instructions for the assistant. Make sure to replace "YOUR_API_KEY" with your actual OpenAI API key.
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:
@subtle shuttle Kapa.ai is still learning and improving, please let me know how I did by reacting below.
@raw urchin 2025-02-24 18:46:37,049 - routers.oa - ERROR - No text output found in response: {'type': 'response.done', 'event_id': 'event_B4Sc036IY9RAkXCsw3RLm', 'response': {'object': 'realtime.response', 'id': 'resp_B4Sbz1numXqa4shtdx0NS', 'status': 'completed', 'status_details': None, 'output': [{'id': 'item_B4Sbz6ysRjUBf0NJM1XG3', 'object': 'realtime.item', 'type': 'message',
2025-02-24 18:46:37,057 - routers.oa - ERROR - Error in handle_response: 500: No text output found in OpenAI response. Response data: {'type': 'response.done', 'event_id': 'event_B4Sc036IY9RAkXCsw3RLm', 'response': {'object': 'realtime.response', 'id': 'resp_B4Sbz1numXqa4shtdx0NS', 'status': 'completed', 'status_details': None, 'output': [{'id': 'item_B4Sbz6ysRjUBf0NJM1XG3', 'object': 'realtime.item', 'type': 'message', 'status': 'completed', 'role': 'assistant', 'content': [{'type': 'text', 'text': "Hello! I'm Sara, calling on behalf of the property management team for XYZ Inc. Have you leased your apartment from us?"}]}], 'conversation_id': 'conv_B4SbzF7eVMrPeWiRONEca', 'modalities': ['text'], 'voice': 'alloy', 'output_audio_format': 'pcm16', 'temperature': 0.8, 'max_output_tokens': 'inf', 'usage': {'total_tokens': 643, 'input_tokens': 616, 'output_tokens': 27, 'input_token_details': {'text_tokens': 616, 'audio_tokens': 0, 'cached_tokens': 0, 'cached_tokens_details': {'text_tokens': 0, 'audio_tokens': 0}}, 'output_token_details': {'text_tokens': 27, 'audio_tokens': 0}}, 'metadata': None}}
2025-02-24 18:46:37,310 - routers.oa - ERROR - HTTPException in initiateChat: Invalid response format from OpenAI
INFO: 127.0.0.1:55330 - "GET /initiateChat?agent_id=1&input_text=hi&self=self HTTP/1.1" 500 Internal Server Error
Let me check the knowledge base for you again. One moment! :books:
The error message you're encountering indicates that there is an issue with the response format from the OpenAI Realtime API. Specifically, it seems that the expected text output is not being found in the response, which is causing a 500 Internal Server Error.
Here are some steps you can take to troubleshoot and resolve this issue:
-
Check the Response Structure: Ensure that the response from the API contains the expected fields. The error message suggests that the response does include a
contentfield with text, so verify that your code is correctly accessing this field. -
Verify API Configuration: Make sure that the session and request configurations are set up correctly. This includes ensuring that the
modalitiesinclude"text"and that the model is configured to generate text responses. -
Error Handling: Implement error handling in your code to manage cases where the response might not contain the expected data. This can help prevent the application from crashing and provide more informative error messages.
-
Review API Documentation: Double-check the Realtime API documentation to ensure that you are using the API correctly and that all required parameters are included in your requests.
-
Contact Support: If the issue persists and you believe it might be a problem on OpenAI's side, consider reaching out to OpenAI support for further assistance. They may be able to provide more specific guidance based on the error logs.
By following these steps, you should be able to identify and resolve the issue with the API response format. If you need further assistance, providing more context or code snippets might help in diagnosing the problem.
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@subtle shuttle Kapa.ai is still learning and improving, please let me know how I did by reacting below.
@raw urchin is this custom function is correct tools = [{
"type": "function",
"name": "end_call",
"description": "Hang up the call",
"parameters": {}
}]
Harshith — Today at 11:25
yes
Tharun — Today at 11:26
but its correctly storing in db like this
tools = [
{
"type": "function",
"function": {
"name": "end_call",
"description": "Hang up the call",
"parameters": {}
},
"strict": true
}
]
function is not required
Let me check the knowledge base for you again. One moment! :books:
Based on the information provided, it seems there is a discrepancy between how the custom function is defined and how it is stored in the database. The correct format for defining a tool of type function should include a nested function object. Here's how you can define it correctly:
tools = [
{
"type": "function",
"function": {
"name": "end_call",
"description": "Hang up the call",
"parameters": {}
},
"strict": True
}
]
Explanation:
- Type: The
typekey should be set to"function", indicating that this tool is a function. - Function Object: The
functionkey should contain an object with thename,description, andparameterskeys.- Name: The name of the function, e.g.,
"end_call". - Description: A brief description of what the function does, e.g.,
"Hang up the call". - Parameters: An object defining the parameters the function accepts. If there are no parameters, it can be an empty object
{}.
- Name: The name of the function, e.g.,
- Strict: The
strictkey is optional and can be set toTrueif you want the model to strictly adhere to the schema defined in theparameters.
If the function key is not required in your specific implementation, you might need to adjust your database schema or the logic that processes these tools to accommodate the expected format. However, based on the standard format, the nested function object is typically required.
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@subtle shuttle Kapa.ai is still learning and improving, please let me know how I did by reacting below.
@raw urchin can u share the link i can check once
Let me check the knowledge base for you again. One moment! :books:
Hmm, I don't know enough to give you a confident answer yet. You might want to check the OpenAI Function Calling documentation for more detailed information and examples on how to define and use functions with the OpenAI API. If you have specific questions or issues, feel free to provide more details!
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@subtle shuttle Kapa.ai is still learning and improving, please let me know how I did by reacting below.
@raw urchin i want to implement twilio recording so gave me code for that
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