functions | OpenAI | Page 1

brazen lily Mar 4, 2024, 4:49 PM

#

hey is it possible to add functions to a model? eg if i want to do a function to get information then use it in its response, how would i do so? is it in the open ai - playground then functions? or is it in the capabiltiites part of the model call

winter cradleBOT Mar 4, 2024, 4:49 PM

#

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

#

Yes, it is possible to add functions to a model in OpenAI. This is known as function calling. In an API call, you can describe functions and have the model intelligently choose to output a JSON object containing arguments to call one or many functions. The model does not call the function; instead, it generates JSON that you can use to call the function in your code.

Here's a basic sequence of steps for function calling:

Define your function(s). Each function should contain the name of the function, an optional description, and the parameters the function accepts (described as a JSON schema). For example:

functions = [
 {
 "name": "get_current_weather",
 "description": "Get the current weather",
 "parameters": {
 "type": "object",
 "properties": {
 "location": {
 "type": "string",
 "description": "The city and state, e.g. San Francisco, CA",
 },
 "format": {
 "type": "string",
 "enum": ["celsius", "fahrenheit"],
 "description": "The temperature unit to use. Infer this from the users location.",
 },
 },
 "required": ["location"],
 },
 }
]

(Source: Azure functions example (https://cookbook.openai.com/examples/azure/functions#functions))

Pass the function definition(s) into the chat completions API.
Call the function with arguments from the response.
Feed the function response back into the chat completions API.

You can find more details in the function calling developer guide (https://platform.openai.com/docs/guides/function-calling).

Please note that OpenAI doesn't execute any code for you. It just tells your app which functions it should use in a given scenario, and then leaves it up to your app to invoke them. For example, if you're building an agent with the Node.js SDK, you would import the OpenAI SDK and authenticate with your API key:

#

import OpenAI from "openai";
 
const openai = new OpenAI({
 apiKey: process.env.OPENAI_API_KEY,
 dangerouslyAllowBrowser: true,
});

(Source: How to build an agent with the Node.js SDK (https://cookbook.openai.com/examples/how_to_build_an_agent_with_the_node_sdk))

In the OpenAI Playground, you can see the functions in the Assistants Playground, but these functions are not called directly by the Assistant. Instead, the Run object changes the status to “requires_action” when a function is needed, and you need to run the function and return the results using the submitToolOuputs endpoint.

(Source: Forum Post: Assistant API + making an API call > Official Answer (https://community.openai.com/t/503240))

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

#

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

brazen lily Mar 4, 2024, 4:52 PM

#

@winter cradle ok so where would i add these functions? also how do i actually use these in my code? can you send me a use case for lets say get time - show me the python code of the output from the response from the model and how to use it

winter cradleBOT Mar 4, 2024, 4:52 PM

#

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

#

You can define the functions when you create an assistant using the OpenAI API. Here's an example of how you might define a function to get the current time:

assistant = client.beta.assistants.create(
 instructions="You are a time bot. Use the provided functions to answer questions.",
 model="gpt-4-turbo-preview",
 tools=[{
 "type": "function",
 "function": {
 "name": "getCurrentTime",
 "description": "Get the current time",
 "parameters": {
 "type": "object",
 "properties": {
 "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
 },
 "required": ["location"]
 }
 }
 }]
)

(Source: Function calling (https://platform.openai.com/docs/assistants/tools))

Once you've defined your function, you can use the chat completions API to generate a message that includes a function call. Here's an example of how you might do this:

messages = []
messages.append({"role": "system", "content": "You are a helpful assistant."})
messages.append({"role": "user", "content": "What's the current time in San Francisco, CA?"})
chat_response = chat_completion_request(
 messages, tools=tools
)

(Source: How to call functions with chat models (https://cookbook.openai.com/examples/how_to_call_functions_with_chat_models#forcing-the-use-of-specific-functions-or-no-function))

The chat_response will include a function call with the name of the function and the arguments to use when calling it. You can extract this information and use it to call your function:

function_call = chat_response.choices[0].message.function_call
function_name = function_call.name
function_args = json.loads(function_call.arguments)

if function_name == "getCurrentTime":
    response = get_current_time(**function_args)

#

In this example, get_current_time is a function you've defined elsewhere in your code. It should take the same arguments as the function you defined when creating the assistant.

Finally, you can feed the response from the function back into the chat completions API to generate the assistant's next message:

messages.append(
 {
 "role": "function",
 "name": "get_current_time",
 "content": json.dumps(response)
 }
)

function_completion = client.chat.completions.create(
 model=deployment,
 messages=messages,
 tools=functions,
)

print(function_completion.choices[0].message.content.strip())

(Source: Azure functions example (https://cookbook.openai.com/examples/azure/functions#4-feed-function-response-back-into-chat-completions-api))

Please note that this is a simplified example and the actual implementation will depend on the specifics of your application and the OpenAI model you're using.

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

#

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

brazen lily Mar 4, 2024, 4:54 PM

#

winter cradle ---------------------- You can define the functions when you create an assistant...

will this work for chat gpt 3.5 turbo? @winter cradle

winter cradleBOT Mar 4, 2024, 4:54 PM

#

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

#

Based on the information provided in the extracts, GPT-3.5 Turbo models can understand and generate natural language or code and have been optimized for chat using the Chat Completions API (https://platform.openai.com/docs/api-reference/chat). However, there is no explicit mention of function calling capabilities for GPT-3.5 Turbo models.

In a forum post, it was mentioned that GPTs are a feature only available to ChatGPT Plus subscribers within the chat webpage or app. This might suggest that function calling is not directly supported in GPT-3.5 Turbo.

For a definitive answer, you may want to refer to the official OpenAI documentation or reach out to OpenAI support.

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

#

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

brazen lily Mar 4, 2024, 5:22 PM

#

winter cradle ---------------------- Based on the information provided in the extracts, GPT-3....

so you cant use gpt 3.5 to have functions?

brazen lily Mar 8, 2024, 7:34 PM

#

@winter cradle can you make me a fuction to check the time of a specific time zone

winter cradleBOT Mar 8, 2024, 7:34 PM

#

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

#

Sure, here's a simple Python function that uses the pytz and datetime libraries to get the current time in a specific timezone:

from datetime import datetime
import pytz

def get_current_time(timezone):
    tz = pytz.timezone(timezone)
    current_time = datetime.now(tz)
    return current_time.strftime('%Y-%m-%d %H:%M:%S %Z%z')

You can call this function with the timezone as a string. For example, to get the current time in San Francisco, you would call get_current_time('America/Los_Angeles').

Please note that this function will only work if the timezone you provide is recognized by the pytz library. You can find a list of all available timezones in the pytz documentation (http://pythonhosted.org/pytz/#available-time-zones).

Remember, this function needs to be implemented in your own codebase. The AI model can generate a function call in the form of a JSON object, but it's up to your application to interpret that JSON and call the appropriate function.

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

#

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

brazen lily Mar 8, 2024, 7:37 PM

#

@winter cradle can you write me what i would need to specify for the tool that i add to the assistant

winter cradleBOT Mar 8, 2024, 7:37 PM

#

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

#

Sure, when you create an assistant, you can specify the tools that the assistant can use. In your case, you want to add a function to get the current time in a specific timezone. Here's how you might define that function when creating the assistant:

assistant = client.beta.assistants.create(
 instructions="You are a time bot. Use the provided functions to answer questions.",
 model="gpt-4-turbo-preview",
 tools=[{
 "type": "function",
 "function": {
 "name": "getCurrentTime",
 "description": "Get the current time",
 "parameters": {
 "type": "object",
 "properties": {
 "timezone": {"type": "string", "description": "The timezone e.g. America/Los_Angeles"},
 },
 "required": ["timezone"]
 }
 }
 }]
)

(Source: Function calling (https://platform.openai.com/docs/assistants/tools))

In this example, getCurrentTime is the name of the function, and it takes one parameter: timezone. The timezone parameter is a string that represents the timezone you want to get the current time for.

Please note that this is a simplified example and the actual implementation will depend on the specifics of your application and the OpenAI model you're using.

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

#

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

brazen lily Mar 8, 2024, 7:39 PM

#

@winter cradle How do i know what to specify in the tool? can you go through each thing and tell me what it does

winter cradleBOT Mar 8, 2024, 7:39 PM

#

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

#

Sure, when you specify a tool in the assistant creation process, you're essentially defining a function that the assistant can use. Here's a breakdown of what each part of the tool specification does:

type: This specifies the type of tool. In this case, it's a "function".
function: This is where you define the function itself.
- name: This is the name of the function. It's how you'll refer to the function in your code.
- description: This is a brief description of what the function does. It's not used by the assistant, but it can be helpful for you and other developers.
- parameters: This is where you define the parameters that the function accepts.
  - type: This specifies the type of the parameters. In this case, it's an "object", which means the parameters should be provided as a JSON object.
  - properties: This is where you define each individual parameter. Each property is a key-value pair where the key is the name of the parameter and the value is a JSON object that describes the parameter.
    - type: This specifies the type of the parameter. In this case, it's a "string".
    - description: This is a brief description of what the parameter is used for. Like the function description, it's not used by the assistant, but it can be helpful for you and other developers.
  - required: This is a list of the names of the parameters that are required. If a parameter is listed here, the function won't work without it.

Here's an example of a tool specification for a function that gets the current time in a specific timezone:

#

tools=[{
 "type": "function",
 "function": {
 "name": "getCurrentTime",
 "description": "Get the current time",
 "parameters": {
 "type": "object",
 "properties": {
 "timezone": {"type": "string", "description": "The timezone e.g. America/Los_Angeles"}},
 "required": ["timezone"]
 }}
 }]

In this example, the function is named `getCurrentTime`, it takes one parameter named `timezone`, and the `timezone` parameter is required.

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

#

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

brazen lily Mar 8, 2024, 10:50 PM

#

@winter cradle then how does the ai know what each paramter is used for?

winter cradleBOT Mar 8, 2024, 10:50 PM

#

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

#

The AI model doesn't inherently know what each parameter is used for. It uses the context provided in the conversation and the instructions given to it to understand how to use the parameters.

For example, if you have a function named getCurrentTime with a parameter timezone, and you instruct the AI to "get the current time in a specific timezone", it can infer from the context that the timezone parameter should be used to specify the timezone for which to get the current time.

The AI uses its training data and the specific instructions you provide to make these inferences. It's important to provide clear and explicit instructions to get the best results.

Remember, the AI doesn't actually call the function or use the parameters directly. It generates a JSON object that represents a function call, and it's up to your application to interpret that JSON and call the appropriate function with the appropriate parameters.

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

#

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

brazen lily Mar 8, 2024, 10:52 PM

#

@winter cradle when i give you a good response with yhe buttons below, what does it do?

winter cradleBOT Mar 8, 2024, 10:52 PM

#

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

#

When you use the "Good Response" or "Bad Response" buttons in the OpenAI chat interface, you're providing feedback on the AI's responses. This feedback can be used by OpenAI to improve the performance and accuracy of the AI models.

In the ChatGPT Android App, for example, when you long press an answer text, a menu appears with options including "Good Response" and "Bad Response". Selecting one of these options sends feedback to OpenAI about the quality of the response.

However, the specific details of how this feedback is used aren't provided in the extracts. For more information, you may want to refer to the official OpenAI documentation or reach out to OpenAI support.

(Source: ChatGPT Android App FAQ (https://help.openai.com/en/articles/8142208-chatgpt-android-app-faq#h_986f7adfe4))

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

#

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

brazen lily Mar 10, 2024, 10:37 PM

#

@winter cradle can you write me a hello wolrd pythin script

winter cradleBOT Mar 10, 2024, 10:37 PM

#

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

#

Sure, here's a simple "Hello, World!" script in Python:

print("Hello, World!")

You can run this script by saving it to a file with a `.py` extension (for example, `hello_world.py`), and then running that file with a Python interpreter. For example, you might run `python hello_world.py` in your terminal.

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

#

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

brazen lily Mar 10, 2024, 10:38 PM

#

@winter cradle how do i make it so that an AI model can look at predefined resources for instructions on how to deal with certain queries/for information

winter cradleBOT Mar 10, 2024, 10:38 PM

#

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

#

To make an AI model look at predefined resources for instructions or information, you can use Azure OpenAI Service. This service allows you to connect the model with your data, giving it the ability to retrieve and utilize data in a way that enhances the model's output. Here's a basic sequence of steps:

Create the proper resources at the Azure Portal (https://portal.azure.com). You can check a detailed guide on how to do this in the Microsoft Docs (https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal).
To use your own data with Azure OpenAI models, you will need:
- Azure OpenAI access and a resource with a chat model deployed (for example, GPT-3 or GPT-4)
- Azure AI Search (f.k.a. Azure Cognitive Search) resource
- Azure Blob Storage resource
- Your documents to be used as data. See data source options (https://learn.microsoft.com/azure/ai-services/openai/concepts/use-your-data#data-source-options) for more details.
Upload your documents to blob storage and create an index using the Azure AI Studio. You can see a full walk-through on how to do this in this Quickstart (https://learn.microsoft.com/azure/ai-services/openai/use-your-data-quickstart?pivots=programming-language-studio&tabs=command-line).

Once you've set up your resources and uploaded your data, the Azure OpenAI Service will be able to retrieve data from your designated data sources based on the user input and provided conversation history. The data is then augmented and resubmitted as a prompt to the model, giving the model contextual information it can use to generate a response.

#

(Source: Azure Chat Completion models with your own data (preview) (https://cookbook.openai.com/examples/azure/chat_with_your_own_data))

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

#

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

brazen lily Mar 10, 2024, 10:41 PM

#

@winter cradle do i need to use Azure? is there something built in with tools etc that I could use? the resoruce isn't that long - probably under 2000 words

winter cradleBOT Mar 10, 2024, 10:41 PM

#

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

#

If your resource is under 2000 words, you can use it directly within the conversation with the model without needing to use Azure or any other external service. You can include the resource as a system message at the start of the conversation. The model will use this information to generate responses.

Here's an example of how you might do this:

import openai

openai.api_key = 'your-api-key'

response = openai.ChatCompletion.create(
  model="gpt-3.5-turbo",
  messages=[
        {"role": "system", "content": "You are a helpful assistant that has access to the following resource: <Your Resource Here>."},
        {"role": "user", "content": "What can you tell me about <Topic in Your Resource>?"},
    ]
)

print(response['choices'][0]['message']['content'])

In this example, replace <Your Resource Here> with the text of your resource and <Topic in Your Resource> with a question about something in your resource. The model will use the information provided in the system message to answer the user's question.

Please note that the model has a maximum token limit (4096 tokens for gpt-3.5-turbo), and this limit includes both the input and output. So, if your resource and the conversation history combined have too many tokens, you might need to truncate or otherwise reduce the size of the text.

(Source: Token Limits (https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them#h_051eb08805))

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

#

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

brazen lily Mar 10, 2024, 10:42 PM

#

@winter cradle so if i want to pass common issues/solutions to certain problems, what would be the best way to deal with thios? also if i want to give my model access to predefined responses. whats the best way to implement it?

winter cradleBOT Mar 10, 2024, 10:42 PM

#

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

#

If you want to pass common issues/solutions to certain problems and give your model access to predefined responses, you can use a few strategies:

Embed the information in the system message: You can include the common issues/solutions and predefined responses in a system message at the start of the conversation. The model will use this information to generate responses. Here's an example:

import openai

openai.api_key = 'your-api-key'

response = openai.ChatCompletion.create(
  model="gpt-3.5-turbo",
  messages=[
        {{"role": "system", "content": "You are a helpful assistant that has access to the following common issues and solutions: <Your Issues and Solutions Here>."}},
        {{"role": "user", "content": "I'm having trouble with <Issue>."}},
    ]
)

print(response['choices'][0]['message']['content'])

In this example, replace <Your Issues and Solutions Here> with a list of common issues and their solutions, and <Issue> with a specific issue that the user is having.

Crafting prompts: You can craft prompts that you found worked best for the model prior to fine-tuning, and include them in every training example. This should let you reach the best and most general results, especially if you have relatively few (e.g. under a hundred) training examples.
Fine-tuning: If you have a large dataset of common issues/solutions, you might consider fine-tuning a model on your data. Fine-tuning allows you to customize the behavior of the model to better suit your specific use case. You can find a detailed guide on fine-tuning in the OpenAI Cookbook (https://cookbook.openai.com/examples/fine-tuned_qa/ft_retrieval_augmented_generation_qdrant).

#

Remember, the model has a maximum token limit (4096 tokens for gpt-3.5-turbo), and this limit includes both the input and output. So, if your resource and the conversation history combined have too many tokens, you might need to truncate or otherwise reduce the size of the text.

(Source: Token Limits (https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them#h_051eb08805))

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

#

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

brazen lily Mar 10, 2024, 10:43 PM

#

@winter cradle whats the most cost effective way? this doesn't seem like it since like its gonna need to use the max token limit every prompt

winter cradleBOT Mar 10, 2024, 10:43 PM

#

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

#

The most cost-effective way to manage tokens and costs would be to:

Condense your prompt: Try to make your instructions shorter, removing extra words, and getting rid of extra examples. This will reduce the number of tokens used and thus the cost (source (https://help.openai.com/en/articles/6891753-what-are-the-best-practices-for-managing-my-rate-limits-in-the-api#h_513534a47a)).
Reduce max_tokens: Match the size of your completions to the max_tokens value. This will decrease the chance that you unexpectedly receive a rate limit error and reduce the cost (source (https://help.openai.com/en/articles/6891753-what-are-the-best-practices-for-managing-my-rate-limits-in-the-api#h_513534a47a)).
Batching: If you are sending multiple requests to the same endpoint, you can batch the prompts to be sent in the same request. This will reduce the number of requests you need to make (source (https://platform.openai.com/docs/guides/production-best-practices)).
Switch to smaller models: If possible, you could work to reduce the cost per token by switching to smaller models for some tasks in order to reduce costs (source (https://platform.openai.com/docs/guides/production-best-practices)).
Caching: Cache common user queries so that they don't need to be processed repeatedly (source (https://platform.openai.com/docs/guides/production-best-practices)).

Remember, the cost of using OpenAI's API is a function of the number of tokens and the cost per token. By reducing either or both of these factors, you can make your use of the API more cost-effective.

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

#

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

brazen lily Mar 10, 2024, 10:45 PM

#

@winter cradle i mean for the information retreving (liek look through sources fr information on common issues)

winter cradleBOT Mar 10, 2024, 10:45 PM

#

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

#

If you want to provide the model with a set of predefined responses or solutions to common issues, you can use the "Knowledge Retrieval" tool provided by OpenAI. This tool allows you to upload a file with the information you want the model to have access to, and OpenAI will automatically index and store the information so it can be retrieved when needed.

Here's how you can enable the Retrieval tool when creating an assistant:

assistant = client.beta.assistants.create(
 instructions="You are a customer support chatbot. Use your knowledge base to best respond to customer queries.",
 model="gpt-4-turbo-preview",
 tools=[{"type": "retrieval"}]
)

(Source: Knowledge Retrieval (https://platform.openai.com/docs/assistants/tools))

Once you've enabled retrieval for a specific Assistant, all the files attached will be automatically indexed. The model then decides when to retrieve content based on the user Messages. The Assistants API automatically chooses between two retrieval techniques:

it either passes the file content in the prompt for short documents, or
performs a vector search for longer documents

This approach is cost-effective as it allows the model to access a large amount of information without having to include all of that information in the prompt for every call, thus saving tokens. However, please note that there is a cost associated with the storage of the indexed files ($0.20/GB per assistant per day).

Remember, the model has a maximum token limit (4096 tokens for gpt-3.5-turbo), and this limit includes both the input and output. So, if your resource and the conversation history combined have too many tokens, you might need to truncate or otherwise reduce the size of the text.

#

(Source: Token Limits (https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them#h_051eb08805))

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

#

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

brazen lily Mar 11, 2024, 11:12 AM

#

@winter cradle how many functions can a model have? also does this increase the cost if i add many functions when sending a request

winter cradleBOT Mar 11, 2024, 11:12 AM

#

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

#

The number of functions that a model can have is not explicitly mentioned in the provided extracts. However, it's important to note that the functions are not inherent to the model itself, but rather they are defined by you when you create an assistant or make an API call. The model generates a JSON object that represents a function call, but it's up to your application to interpret that JSON and call the appropriate function.

As for the cost, it's determined by the number of tokens in the API call. This includes both the input (the prompt and any system messages) and the output (the model's response). If adding more functions increases the number of tokens in the API call, then it would increase the cost. For example, if the function definitions or the function call arguments are very long, they could increase the number of tokens.

In a forum post, it was mentioned that anything you send to the model will be included in the prompt, and more of that will cost more. This includes function calling argument descriptions, names, user names, prompt text, and system prompts (source (https://community.openai.com/t/407589)).

For a definitive answer, you may want to refer to the official OpenAI documentation or reach out to OpenAI support.

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

#

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

brazen lily Mar 11, 2024, 11:14 AM

#

@winter cradle how do i get the cost from the payload as mentioned in that post?

winter cradleBOT Mar 11, 2024, 11:14 AM

#

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

#

When you make an API call to OpenAI, the response includes a field called usage that contains information about the number of tokens used by the call. The cost of the call is determined by the number of tokens used.

Here's an example of how you might get the cost from the payload in Python:

import openai

openai.api_key = 'your-api-key'

response = openai.ChatCompletion.create(
  model="gpt-3.5-turbo",
  messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "What's the weather like today?"},
    ]
)

print(response['usage']['total_tokens'])

In this example, response['usage']['total_tokens'] gives you the total number of tokens used by the API call. You can then multiply this number by the cost per token to get the total cost of the call.

Please note that the cost per token depends on the specific model and pricing plan you're using. You can find more information about pricing on the OpenAI Pricing page (https://openai.com/pricing).

(Source: Does OpenAI charge for metadata in a completion request? (https://community.openai.com/t/407589))

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

#

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

brazen lily Mar 11, 2024, 11:23 AM

#

@winter cradle IS THERE ANY base cost associated when creating a thread with an assistant that has the retrieval tool defined

winter cradleBOT Mar 11, 2024, 11:23 AM

#

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

#

Yes, there is a cost associated with using the retrieval tool in an assistant. The cost for retrieval is priced at $0.20/GB per assistant per day. This means that if you attach a file to an assistant and enable the retrieval tool, you will be charged this fee.

For example, if you attach the same 1 GB file to two different Assistants with the retrieval tool enabled (e.g., customer-facing Assistant #1 and internal employee Assistant #2), you’ll be charged twice for this storage fee (2 * $0.20 per day). This fee does not vary with the number of end users and threads retrieving knowledge from a given assistant.

In addition, files attached to messages are charged on a per-assistant basis if the messages are part of a run where the retrieval tool is enabled. For example, running an assistant with retrieval enabled on a thread with 10 messages each with 1 unique file (10 total unique files) will incur a per-GB per-day charge on all 10 files (in addition to any files attached to the assistant itself).

Please note that these costs are in addition to the cost per token for using the assistant API, which is billed at the chosen language model’s per-token input/output rates.

(Source: Retrieval Pricing (https://platform.openai.com/docs/assistants/tools))

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

#

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

brazen lily Mar 11, 2024, 12:12 PM

#

@winter cradle is it good practice to assign multiple users to one assistant?

winter cradleBOT Mar 11, 2024, 12:12 PM

#

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

#

Yes, it is good practice to assign multiple users to one assistant. In fact, OpenAI's models are designed to handle multiple users interacting with the same assistant. Each user interaction is isolated and does not impact the model's responses to other users.

In a forum post, it was mentioned that an API assistant is just a set of instructions and doesn't really "exist". OpenAI has one "assistant" called ChatGPT servicing millions of users. So the only impact would be your own code’s management, needing to make tons of network calls to a dozen methods for setup and use, and polling just to find out if a response is waiting (source (https://community.openai.com/t/623116)).

In another forum post, it was confirmed that you can definitely use one assistant and multiple threads simultaneously (source (https://community.openai.com/t/530812)).

However, it's important to manage your code and network calls efficiently to ensure that your application can handle multiple users interacting with the assistant at the same time.

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

#

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

brazen lily Mar 11, 2024, 9:53 PM

#

@winter cradle would it be possible to have the AI learn about issues users have and add them to the file that it retrieves information from?

winter cradleBOT Mar 11, 2024, 9:53 PM

#

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

#

Currently, OpenAI's models, including GPT-3 and GPT-4, do not have the ability to learn from individual interactions or update the files they use for retrieval based on these interactions. They are "static" models, meaning they do not update or learn after they have been trained.

The models generate responses based on the input they are given and the data they were trained on, but they do not remember or learn from the input or the responses they generate. This means that they cannot add new information to the files they use for retrieval based on user interactions.

If you want to update the information in the retrieval files based on user interactions, you would need to implement this functionality in your application. For example, you could track common issues that users ask about, and then manually update the retrieval files with this information.

For updating the file, you can use the OpenAI API's file update endpoint. Here's an example of how you might do this in Python:

file = client.files.update(
    file_id="file-id",
    file=open("updated_file.pdf", "rb"),
)

In this example, replace "file-id" with the ID of the file you want to update, and "updated_file.pdf" with the path to the updated file.

Please note that updating a file will replace the existing file with the new file, and any information in the existing file that is not in the new file will be lost.

(Source: File Update (https://platform.openai.com/docs/api-reference/files/update))

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

#

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

brazen lily Mar 11, 2024, 9:55 PM

#

@winter cradle could the model update the retrieval file by using a function? eg update_file
{append new data}
-sends to open ai

can be used in the next retrevial

winter cradleBOT Mar 11, 2024, 9:55 PM

#

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

#

Sorry @brazen lily, I seem to be having a bit of trouble. Don't worry though, I've pinged my support and they will try to fix me up! :technologist:

Perhaps try again in 15mins?

brazen lily Mar 11, 2024, 9:55 PM

#

@winter cradle could the model update the retrieval file by using a function? eg update_file {append new data} -sends to open ai can be used in the next retrevial

winter cradleBOT Mar 11, 2024, 9:55 PM

#

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

#

Sorry @brazen lily, I seem to be having a bit of trouble. Don't worry though, I've pinged my support and they will try to fix me up! :technologist:

Perhaps try again in 15mins?

brazen lily Mar 11, 2024, 11:28 PM

#

@winter cradle could the model update the retrieval file by using a function? eg update_file {append new data} -sends to open ai can be used in the next retrevial

winter cradleBOT Mar 11, 2024, 11:28 PM

#

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

#

Sorry @brazen lily, I seem to be having a bit of trouble. Don't worry though, I've pinged my support and they will try to fix me up! :technologist:

Perhaps try again in 15mins?

brazen lily Mar 12, 2024, 12:07 AM

#

@winter cradle can you help me?

winter cradleBOT Mar 12, 2024, 12:07 AM

#

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

#

Of course! I'm here to help. Could you please provide more details about the issue you're facing or the information you're looking for?

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

#

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

brazen lily Mar 12, 2024, 12:08 AM

#

@winter cradle could the model update the retrieval file by using a function? eg update_file {append new data} -sends to open ai can be used in the next retrievial

winter cradleBOT Mar 12, 2024, 12:08 AM

#

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

#

Sorry @brazen lily, I seem to be having a bit of trouble. Don't worry though, I've pinged my support and they will try to fix me up! :technologist:

Perhaps try again in 15mins?

brazen lily Mar 12, 2024, 10:52 AM

#

@winter cradle could the model update the retrieval file by using a function? eg update_file {append new data} -sends to open ai can be used in the next retrievial

winter cradleBOT Mar 12, 2024, 10:52 AM

#

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

#functions

(Source: Forum Post: Assistant API + making an API call > Official Answer (https://community.openai.com/t/503240))

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

Please note that this is a simplified example and the actual implementation will depend on the specifics of your application and the OpenAI model you're using.

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

For a definitive answer, you may want to refer to the official OpenAI documentation or reach out to OpenAI support.

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

Remember, this function needs to be implemented in your own codebase. The AI model can generate a function call in the form of a JSON object, but it's up to your application to interpret that JSON and call the appropriate function.

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

Please note that this is a simplified example and the actual implementation will depend on the specifics of your application and the OpenAI model you're using.

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

In this example, the function is named getCurrentTime, it takes one parameter named timezone, and the timezone parameter is required.

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

Remember, the AI doesn't actually call the function or use the parameters directly. It generates a JSON object that represents a function call, and it's up to your application to interpret that JSON and call the appropriate function with the appropriate parameters.

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

(Source: ChatGPT Android App FAQ (https://help.openai.com/en/articles/8142208-chatgpt-android-app-faq#h_986f7adfe4))

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

You can run this script by saving it to a file with a .py extension (for example, hello_world.py), and then running that file with a Python interpreter. For example, you might run python hello_world.py in your terminal.

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

(Source: Azure Chat Completion models with your own data (preview) (https://cookbook.openai.com/examples/azure/chat_with_your_own_data))

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

(Source: Token Limits (https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them#h_051eb08805))

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

(Source: Token Limits (https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them#h_051eb08805))

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

Remember, the cost of using OpenAI's API is a function of the number of tokens and the cost per token. By reducing either or both of these factors, you can make your use of the API more cost-effective.

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

(Source: Token Limits (https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them#h_051eb08805))

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

For a definitive answer, you may want to refer to the official OpenAI documentation or reach out to OpenAI support.

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

(Source: Does OpenAI charge for metadata in a completion request? (https://community.openai.com/t/407589))

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

(Source: Retrieval Pricing (https://platform.openai.com/docs/assistants/tools))

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

However, it's important to manage your code and network calls efficiently to ensure that your application can handle multiple users interacting with the assistant at the same time.

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

(Source: File Update (https://platform.openai.com/docs/api-reference/files/update))

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

Of course! I'm here to help. Could you please provide more details about the issue you're facing or the information you're looking for?

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

In this example, the function is named `getCurrentTime`, it takes one parameter named `timezone`, and the `timezone` parameter is required.

You can run this script by saving it to a file with a `.py` extension (for example, `hello_world.py`), and then running that file with a Python interpreter. For example, you might run `python hello_world.py` in your terminal.