#What version are you?

1 messages · Page 1 of 1 (latest)

untold depot
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What version of GPT is this?

fair mapleBOT
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Hi @untold depot. 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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As an AI developed by OpenAI, I'm based on the GPT series of language models. However, the specific version of the GPT model I'm based on isn't specified in the provided knowledge sources. OpenAI has developed several versions of the GPT model, including GPT-3, GPT-3.5-turbo, and GPT-4, each with different capabilities and characteristics. For more specific information about the version of the GPT model being used, you would need to refer to the specific implementation or application of the AI.

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

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@untold depot kapa.ai is still learning and improving, please let us know how it did by reacting below

untold depot
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@fair maple When was your knowledge of the OpenAI API last updated?

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

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Based on the provided knowledge sources, the most recent update to the OpenAI API was on July 18th, 2024, when OpenAI released GPT-4o mini, an affordable and intelligent small model for fast, lightweight tasks. You can find more details about this and other updates in the OpenAI API Changelog (https://platform.openai.com/docs/changelog). Please note that this information is accurate as of the last update to the knowledge sources provided to me. For the most current information, you should always refer to the official OpenAI documentation and changelogs.

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

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@untold depot kapa.ai is still learning and improving, please let us know how it did by reacting below

untold depot
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@fair maple I want to know more about the AssistantEventHandler, but I cannot seem to find any documentation on it. Do you have a list of events, and when it is appropriate to override them?

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

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The AssistantEventHandler is a class that you can use to handle events when using the OpenAI Assistant API. It allows you to define custom behavior for different types of events that occur during an assistant session.

Based on the provided knowledge sources, there are several events that you can handle:

  1. on_text_created: This event is triggered when text is first created. You can override this method to define custom behavior when this event occurs. For example, you might want to print the created text to the console or append it to a list.
@override
def on_text_created(self, text: Text) -> None:
    print(f"\nassistant > ", end="", flush=True)
  1. on_text_delta: This event is triggered when there is a text delta (partial text). You can override this method to define custom behavior when this event occurs. For example, you might want to print the delta value (partial text) to the console or append it to a list.
@override
def on_text_delta(self, delta: TextDelta, snapshot: Text):
    print(delta.value, end="", flush=True)
  1. on_tool_call_created: This event is triggered when a tool call is created. You can override this method to define custom behavior when this event occurs. For example, you might want to print the type of the tool call to the console.
def on_tool_call_created(self, tool_call: ToolCall):
    print(f"\nassistant > {tool_call.type}\n", flush=True)
  1. on_tool_call_delta: This event is triggered when there is a tool call delta. You can override this method to define custom behavior when this event occurs. For example, you might want to print the input and outputs of the tool call to the console.
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def on_tool_call_delta(self, delta: ToolCallDelta, snapshot: ToolCall):
    if delta.type == 'code_interpreter':
        if delta.code_interpreter.input:
            print(delta.code_interpreter.input, end="", flush=True)
        if delta.code_interpreter.outputs:
            print(f"\n\noutput >", flush=True)
            for output in delta.code_interpreter.outputs:
                if output.type == "logs":
                    print(f"\n{output.logs}", flush=True)

You can find more details about these events and how to handle them in the OpenAI Python API library (https://github.com/openai/openai-python/issues/1334) and OpenAI Node API Library (https://github.com/openai/openai-node/issues/879) GitHub issues. For a full list of Assistant streaming events, you can refer to the OpenAI API reference (https://platform.openai.com/docs/api-reference/assistants-streaming/events).

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

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@untold depot kapa.ai is still learning and improving, please let us know how it did by reacting below

untold depot
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@fair maple show me an example of using Flask to stream an Assistant's response with an endpoint

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

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I'm sorry, but the provided knowledge sources do not contain a specific example of using Flask to stream an Assistant's response with an endpoint. However, there is a mention of setting up something in Flask in one of the forum posts, but no specific code or detailed instructions are provided.

For detailed examples and instructions, you would typically need to refer to the official Flask documentation or other reliable resources. Flask is a popular web framework for Python, and there are many tutorials and guides available online that can help you set up a Flask application with various types of endpoints.

Remember to secure your endpoint and handle API keys carefully to prevent unauthorized access and potential misuse of your OpenAI Assistant.

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