#assistant function calling

1 messages · Page 1 of 1 (latest)

austere oasis
#

@cursive flint Explain this code:
tool_output_array = [
{
"tool_call_id": tool_id,
"output": <explain>
}

cursive flintBOT
#

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

#

The code you provided is a part of the process of handling function calls in OpenAI's Assistants API. When an assistant needs to perform an action, it calls a function and the state of the run becomes requires_action. The developer then needs to get the name of the function that the assistant has called, grab the data that it inputted, and call the real function of the same name and pass in the data that the assistant gave them. The output from this real function is then submitted back to the assistant.

In the code snippet you provided, tool_output_array is an array that is used to store the output from the function calls. Each item in the array is a dictionary with two keys:

  • "tool_call_id": This is the unique identifier of the tool call that was made by the assistant. It is used to match the output with the correct function call.

  • "output": This is the output from the function call. It is the result of the real function that was called with the data that the assistant provided. This output is then submitted back to the assistant.

Here is the code snippet for reference:

tool_output_array = [
    {
        "tool_call_id": tool_id,
        "output": <output from function call>
    }
]

In this code, <output from function call> should be replaced with the actual output from the function call.

For more information, you can refer to the OpenAI documentation on function calling (https://platform.openai.com/docs/assistants/tools/function-calling/quickstart?context=without-streaming) and the OpenAI community forum (https://community.openai.com/t/720250).

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

#

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

austere oasis
#

@cursive flint can you explain this code snippet:
run = client.beta.threads.runs.submit_tool_outputs(
thread_id=thread_id,
run_id=run_id,
tool_outputs=tool_output_array
)

cursive flintBOT
#

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

#

The code snippet you provided is a part of OpenAI's Assistants API, specifically the function calling feature. This code is used to submit the output of a function call back to the assistant.

Here's a breakdown of the code:

  • run = client.beta.threads.runs.submit_tool_outputs(...): This line is calling the submit_tool_outputs method on the runs object of the threads object of the client object. The client object is an instance of the OpenAI API client. The submit_tool_outputs method is used to submit the output of a function call back to the assistant. The result of this method call is stored in the run variable.

  • thread_id=thread_id: This is an argument to the submit_tool_outputs method. It specifies the ID of the thread that the function call is associated with.

  • run_id=run_id: This is another argument to the submit_tool_outputs method. It specifies the ID of the run that the function call is associated with.

  • tool_outputs=tool_output_array: This is the final argument to the submit_tool_outputs method. It specifies the output of the function call. This should be an array of dictionaries, where each dictionary has a "tool_call_id" key that matches the ID of a tool call and an "output" key that contains the output of the function call.

Here is the code snippet for reference:

run = client.beta.threads.runs.submit_tool_outputs(
    thread_id=thread_id,
    run_id=run_id,
    tool_outputs=tool_output_array
)
#

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

austere oasis
#

@cursive flint If my output from function calling is not be stored by the assistant, then what to pass in output value? e.g. like OTP sent to a mobile number in this code:
def process_vOTP(parameters, tool_id, thread_id, run_id):
if verify_otp(parameters):
tool_output_array = [
{
"tool_call_id": tool_id,
"output": True # or should it be None?
}
]

cursive flintBOT
#

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

#

If your function doesn't produce an output that needs to be stored by the assistant, you can still return a value that indicates the function was executed successfully. In your case, returning True is a good way to indicate that the OTP was successfully processed.

Here's the relevant part of your code:

def process_vOTP(parameters, tool_id, thread_id, run_id):
    if verify_otp(parameters):
        tool_output_array = [
            {
                "tool_call_id": tool_id,
                "output": True # This indicates that the OTP was successfully processed
            }
        ]

In this code, True is used to indicate that the OTP was successfully verified. This value is then submitted back to the assistant as the output of the function call.

However, if there is no meaningful output from your function, you can also return a string that says "success" or any other affirmative message. This is suggested in one of the OpenAI community forum posts (https://community.openai.com/t/591372):

So, if there is no output from your real function, you can always just submit an affirmative like a string that says “success”.

So, your code could also look like this:

def process_vOTP(parameters, tool_id, thread_id, run_id):
    if verify_otp(parameters):
        tool_output_array = [
            {
                "tool_call_id": tool_id,
                "output": "success" # This indicates that the OTP was successfully processed
            }
        ]

In this case, "success" is used to indicate that the OTP was successfully verified.

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

#

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

austere oasis
#

@cursive flint I'm getting this error message on using assistants API:
raise ValueError(f"Expected a non-empty value for thread_id but received {thread_id!r}")
ValueError: Expected a non-empty value for thread_id but received None
Note: It is critical for openai to fix this

cursive flintBOT
#

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

#

The error message you're seeing indicates that the thread_id value you're passing into a function or method is None, but a non-empty value is expected.

In the context of the OpenAI Assistants API, a thread_id is a unique identifier for a thread, which is a series of messages exchanged between the user and the assistant. When you create a new thread or interact with an existing one, you need to provide its thread_id.

If you're seeing this error, it means that you're not providing a thread_id where one is required. You should ensure that you're correctly generating or retrieving the thread_id and passing it into the function or method.

Here's an example of how you might create a new thread and get its thread_id:

thread = client.beta.threads.create()
thread_id = thread.id

And here's how you might use that thread_id when creating a new run:

run = client.beta.threads.runs.create(thread_id=thread_id, assistant_id=assistant_id)

If you're still having trouble, you might find it helpful to review the OpenAI documentation on threads (https://platform.openai.com/docs/api-reference/threads/createThread) and the OpenAI community forum (https://community.openai.com/t/720250) for more information and examples.

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

#

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

austere oasis
#

@cursive flint how do bot differntiates between different thread IDs

cursive flintBOT
#

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

#

In the context of the OpenAI Assistants API, a thread_id is a unique identifier for a thread. A thread represents a series of messages exchanged between the user and the assistant. Each thread has its own unique thread_id which is used to differentiate between different threads.

When you create a new thread, the API generates a unique thread_id for that thread. When you send a message or perform an action in a thread, you need to provide the thread_id so the API knows which thread the action should be associated with.

Here's an example of how you might create two different threads and get their thread_ids:

# Create the first thread
thread1 = client.beta.threads.create()
thread_id1 = thread1.id

# Create the second thread
thread2 = client.beta.threads.create()
thread_id2 = thread2.id

In this example, thread_id1 and thread_id2 are unique identifiers for thread1 and thread2 respectively. The assistant uses these thread_ids to differentiate between the two threads.

For more information, you can refer to the OpenAI documentation on threads (https://platform.openai.com/docs/api-reference/threads/createThread) and the OpenAI community forum (https://community.openai.com/t/720250).

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

#

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

austere oasis
#

@cursive flint I'm facing this error when uploading my function to assistant API:

function

{
"name": "get_user_details",
"description": "Get these user details namely, Person's Name, Mobile Number, Gender, Marital Status, Date of Birth",
"parameters": {
"type": "object",
"properties": {
"firstName": {
"type": "string",
"description": "First Name of Person"
},
"lastName": {
"type": "string",
"description": "Last Name of Person"
},
"mobile": {
"type": "string",
"description": "10 digit mobile number. If it has prefix '+91-' at start, then consider mobile number after prefix."
},
"gender":{
"type": "string",
"description": "Identify gender mentions, recognizing terms for male, female, or other identities. For example, if a person identifies as male, female, or another gender, assign 'M', 'F', or 'O' respectively.",
"enum": ["M", "F", "O"],
},
"maritalStatus": {
"type": "string",
"description": "Marital Status of Person. For example, if a person is single, married, divorced, widowed, or other, assign 'Single', 'Married', 'Divorced', 'Widowed', or 'Others' respectively.",
"enum": ["Single", "Married", "Divorced", "Widowed", "Others"]
},
"dob": {
"type": "string",
"description": "Date of Birth of Person. Format is YYYY-MM-DD"
}
},
"required": ["firstName", "lastName", "mobile", "gender", "maritalStatus", "dob"]
}

Error

Expected double-quoted property name in JSON at position 1026 (line 23 column 13)

cursive flintBOT
#

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

#

The error message you're seeing suggests that there's a problem with the JSON formatting in your function definition. Specifically, it's expecting a property name to be double-quoted at position 1026.

JSON syntax requires all strings, including property names, to be enclosed in double quotes ("). If you're using single quotes (') or no quotes at all, you'll see an error like the one you're experiencing.

From the function definition you've provided, it seems like your JSON syntax is correct. All property names appear to be enclosed in double quotes as required. However, the error message suggests that there might be an issue around line 23 column 13.

It's possible that there might be an invisible character, extra space, or some other formatting issue that's causing the problem. I would recommend carefully checking your JSON around the position mentioned in the error message.

If you're still having trouble, you might find it helpful to use a JSON validator tool. These tools can check your JSON for syntax errors and help you identify any issues. You can find various JSON validators by searching online for "JSON validator".

For more information on defining functions in the OpenAI Assistants API, you can refer to the OpenAI API documentation (https://platform.openai.com/docs/api-reference) and the OpenAI community forum (https://community.openai.com/t/714575).

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