#Code Interpreter API in Python

1 messages · Page 1 of 1 (latest)

sharp forge
#

Hey @ember junco ! I'm trying to understand how to use the code interpreter in the API, or if I should go with the 'Assistant' approach. Can you assist me in creating a simple Python script for the code interpreter? I want to modify the provided sample code to get a response from Code Interpreter. I've already got a working script for gpt-4, and I'm hoping you can help me adapt it for this purpose. If this requires anything else then please show me the exact steps I should try in order to test the Code Interpreter's API.

from openai import OpenAI

client = OpenAI(api_key=OPENAI_API_KEY)

completion = client.chat.completions.create(
 model="gpt-4-1106-preview",  # Replace with the correct model name
 messages=[
 {"role": "system", "content": "You are a helpful assistant."},
 {"role": "user", "content": "Translate the following English text to French: 'Hello, how are you?'"}
 ]
)

print(completion.choices[0].message)```


Thanks in advance for your assistance!
ember juncoBOT
#

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

#

Sure, I can help you with that. From the information provided in the extracts, it seems that you can equip your assistant with tools like the Code Interpreter. Here's an example of how you can do this:

assistant = client.beta.assistants.update(
    MATH_ASSISTANT_ID,  # Replace with your Assistant ID
    tools=[{"type": "code_interpreter"}],
)

This code equips your assistant with the Code Interpreter tool. You can do this from the Dashboard or the API, using the Assistant ID.

After equipping your assistant with the Code Interpreter tool, you can ask the assistant to use its new tool. Here's an example:

thread, run = create_thread_and_run(
    "Generate the first 20 Fibonacci numbers with code."
)
run = wait_on_run(run, thread)
pretty_print(get_response(thread))

This code asks the assistant to generate the first 20 Fibonacci numbers with code. The assistant uses the Code Interpreter in the background and gives you a final response.

Please note that you need to replace MATH_ASSISTANT_ID with your actual Assistant ID and create_thread_and_run, wait_on_run, and get_response with your actual methods for creating a thread and run, waiting on a run, and getting a response, respectively.

You can find more details about this in the OpenAI Cookbook's Assistants API Overview (Python SDK) (https://github.com/openai/openai-cookbook/blob/main/examples/Assistants_API_overview_python.ipynb).

#

Please note that the Code Interpreter tool is a feature of the Assistants API, and it's not directly related to the GPT-4 model. The GPT-4 model is a language model, and it doesn't inherently have the ability to interpret code. The Code Interpreter tool is a separate feature that you can use to equip your assistant with the ability to interpret code.

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

#

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

sharp forge
#

Can you provide a full working code @ember junco ?

ember juncoBOT
#

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

#

I'm sorry for any confusion, but the extracts provided do not contain a full working code example for using the Code Interpreter tool with the OpenAI API. The extracts only provide snippets of code that show how to equip an assistant with the Code Interpreter tool and how to ask the assistant to use the tool.

However, based on the information provided, I can guide you on how you might structure your code:

from openai import OpenAI

# Initialize the OpenAI client
client = OpenAI(api_key=OPENAI_API_KEY)

# Update your assistant to equip it with the Code Interpreter tool
assistant = client.beta.assistants.update(
    MATH_ASSISTANT_ID,  # Replace with your Assistant ID
    tools=[{"type": "code_interpreter"}],
)

# Define your methods for creating a thread and run, waiting on a run, and getting a response
# These methods are not defined in the extracts, so you'll need to implement them yourself
def create_thread_and_run(content):
    # Your code here
    pass

def wait_on_run(run, thread):
    # Your code here
    pass

def get_response(thread):
    # Your code here
    pass

def pretty_print(response):
    # Your code here
    pass

# Ask the assistant to use the Code Interpreter tool
thread, run = create_thread_and_run(
    "Generate the first 20 Fibonacci numbers with code."
)
run = wait_on_run(run, thread)
response = get_response(thread)

# Print the response
pretty_print(response)

Please note that you'll need to replace MATH_ASSISTANT_ID with your actual Assistant ID and implement the create_thread_and_run, wait_on_run, get_response, and pretty_print methods based on your specific requirements and the OpenAI API documentation.

#

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

sharp forge
#

Please show the steps I need to take in order to get my assistant ID. The code seems fine, but I need this variable "MATH_ASSISTANT_ID". I know nothing about how "Assistant" works. What should I try in order to get this working @ember junco ?

ember juncoBOT
#

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

#

To get your Assistant ID, you need to create an Assistant using the OpenAI API. Here's an example of how you can do this:

assistant = client.beta.assistants.create(
 instructions="You are a personal math tutor. When asked a math question, write and run code to answer the question.",
 model="gpt-4-1106-preview",
 tools=[{"type": "code_interpreter"}],
)

In this code, you're creating an Assistant with the instructions "You are a personal math tutor. When asked a math question, write and run code to answer the question." You're also specifying the model to use (gpt-4-1106-preview) and equipping the Assistant with the Code Interpreter tool.

After running this code, the assistant object will contain the details of the created Assistant, including its ID. You can access the Assistant ID like this:

MATH_ASSISTANT_ID = assistant.id

Now, you can use MATH_ASSISTANT_ID in your code to refer to the Assistant you just created.

Please note that you need to replace gpt-4-1106-preview with the actual model you want to use. You can find more details about this in the OpenAI API documentation (https://platform.openai.com/docs/api-reference/assistants/createAssistant).

Also, keep in mind that the Assistants API is currently in beta, and OpenAI is actively working on adding more functionality. You can share your feedback in the OpenAI Developer Forum (https://community.openai.com/).

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

#

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

sharp forge
#

Here is my code @ember junco :

from openai import OpenAI

# Initialize the OpenAI client
client = OpenAI(api_key=OPENAI_API_KEY) # my api key is not shown here

# Update your assistant to equip it with the Code Interpreter tool
assistant = client.beta.assistants.create(
 instructions="You are a personal math tutor. When asked a math question, write and run code to answer the question.",
 model="gpt-4-1106-preview",
 tools=[{"type": "code_interpreter"}],
)

# Define your methods for creating a thread and run, waiting on a run, and getting a response
# These methods are not defined in the extracts, so you'll need to implement them yourself
def create_thread_and_run(content):
    # Your code here
    pass

def wait_on_run(run, thread):
    # Your code here
    pass

def get_response(thread):
    # Your code here
    pass

def pretty_print(response):
    # Your code here
    pass

# Ask the assistant to use the Code Interpreter tool
thread, run = create_thread_and_run(
    "Generate the first 20 Fibonacci numbers with code."
)
run = wait_on_run(run, thread)
response = get_response(thread)

# Print the response
pretty_print(response)```


I am getting this error : 

```Traceback (most recent call last):
  File "d:\Python\Kapa\assistant.py", line 37, in <module>
    thread, run = create_thread_and_run(
TypeError: cannot unpack non-iterable NoneType object```


What should I try or do in order to get the first program working ?
ember juncoBOT
#

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

#

The error message you're seeing is due to the create_thread_and_run function returning None, and then trying to unpack this None value into thread and run.

In the code you've provided, the create_thread_and_run function is defined as a placeholder function that doesn't return anything, hence it returns None by default.

def create_thread_and_run(content):
    # Your code here
    pass

You need to implement this function so that it creates a thread and a run, and then returns these two values. However, the extracts provided do not contain information on how to implement this function.

I recommend checking the OpenAI API documentation (https://platform.openai.com/docs) and the OpenAI Cookbook's Assistants API Overview (Python SDK) (https://github.com/openai/openai-cookbook/blob/main/examples/Assistants_API_overview_python.ipynb) for more detailed information and examples on how to use the Assistants API, including how to create threads and runs.

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

#

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

sharp forge
#

@ember junco I'd like you to replace the comments "# Your code here". It doesn't matter what you insert there, as long as the outcome involves viewing a result from the code interpreter in the terminal.

ember juncoBOT
#

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

#

I'm sorry for any confusion, but the extracts provided do not contain a full working code example for using the Code Interpreter tool with the OpenAI API. The extracts only provide snippets of code that show how to equip an assistant with the Code Interpreter tool and how to ask the assistant to use the tool.

The functions create_thread_and_run, wait_on_run, get_response, and pretty_print are placeholders and need to be implemented based on your specific requirements and the OpenAI API documentation. Unfortunately, the extracts do not provide information on how to implement these functions.

For more detailed information and examples, I recommend checking out the OpenAI Cookbook's Assistants API Overview (Python SDK) (https://github.com/openai/openai-cookbook/blob/main/examples/Assistants_API_overview_python.ipynb) and the OpenAI API documentation (https://platform.openai.com/docs). These resources should provide you with the information you need to implement these functions and use the Code Interpreter tool with the OpenAI API.

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

#

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

sharp forge
#

It's great. It actually did help in creating an assistant using code.

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