response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": system_message},
{"role": "user", "content": user_message}
print(response)
analysis = response.choices[0].message.content.strip()
When I run this code, I get an error message saying “member choice is unknown”. However, when I print the response object, I can see that it includes a ‘choices’ field.
Here are the solutions I’ve tried so far:
Accessing the ‘choices’ field with dictionary-like indexing (response[‘choices’]). This didn’t work because the response object is not a dictionary.
Checking the version of the OpenAI Python client library I’m using. I’m using the latest version, so this doesn’t seem to be the issue.
Using the .choices attribute to access the ‘choices’ field (response.choices). This is the method that’s causing the “member choice is unknown” error.
I’m not sure what else to try at this point. I would appreciate any suggestions on how to resolve this issue. Specifically, I’m looking for a way to access the ‘choices’ field from the response object without encountering the “member choice is unknown” error.
Thank you in advance for your help!
This error indicates that in your original source code, somewhere you’re using choice
instead of choices
, so you need to fix that.
If the error still persists, you can use print(dir(response))
to inspect the response.
what does this show you ?
# Serialize the object to a JSON-formatted string
json_string = json.dumps(response, indent=4) # 'indent' adds pretty-printing for readability
# Print the JSON-formatted string
print(json_string)
Rather, can you post the entire output for us to debug?
I don’t recall seeing “member choice is unknown” error before.
response should be an OpenAIObject. json.loads is not going to parse it if it works correctly.
PS C:\Users\graci\training.py> python api.py
"id": "chatcmpl-7x45pcRxbcihgcEH71KFcHwh8fBp7",
"object": "chat.completion",
"created": 1694311441,
"model": "gpt-3.5-turbo-0613",
"choices": [
"index": 0,
"message": {
"role": "assistant",
"content": "Based on the information provided, the user has two derogatory marks on their credit report:\n\n1. Mark1 with description1: Unf
Problem/Error:
Cannot access member “choices” for type “Generator[Unknown | list[Unknown] | dict[Unknown, Unknown], None, None]”
Member “choices” is unknown
This is a valid chat.completion
response object provided that you have truncated the rest of it after the content
. That’s what I get and works perfectly fine for me.
What version of python and openai module is that code running on?
Also please rename the file to a custom name rather than using names like api
or openai
etc.
UPDATE & FIX:
For python, according to docs, you should access the content using:
response['choices'][0]['message']['content']
Let’s take some example input (example of how gpt-3.5-turbo is on edge of not understanding…)
(expand) ChatCompletion response n=6
output_object =
"id": "chatcmpl-7xCLl4yD4nAqrBDXv2FUe6IBmIzKs",
"object": "chat.completion",
"created": 1694343181,
"model": "gpt-3.5-turbo-0613",
"choices": [
"index": 0,
"message": {
"role": "assistant",
"content": "{\"joke_question\": \"Why don't scientists trust atoms?\", \"joke_answer\": \"0. Because they make up everything!\"}"
"finish_reason": "stop"
"index": 1,
"message": {
"role": "assistant",
"content": "{\"joke_question\": \"Why don\u2019t scientists trust atoms?\", \"joke_answer\": \"1. Because they make up everything!\"}"
"finish_reason": "stop"
"index": 2,
"message": {
"role": "assistant",
"content": "{\"joke_question\": \"(AI random joke)\", \"joke_answer\": \"2. (punchline)\"}"
"finish_reason": "stop"
"index": 3,
"message": {
"role": "assistant",
"content": "{\"joke_question\": \"(AI random joke)\", \"joke_answer\": \"3. I'm reading a book about anti-gravity. It's impossible to put down!\"}"
"finish_reason": "stop"
"index": 4,
"message": {
"role": "assistant",
"content": "{\"joke_question\": \"Why don't scientists trust atoms?\", \"joke_answer\": \"4. Because they make up everything!\"}"
"finish_reason": "stop"
"index": 5,
"message": {
"role": "assistant",
"content": "{\"joke_question\": \"Why don't scientists trust atoms?\", \"joke_answer\": \"5. Because they make up everything!\"}"
"finish_reason": "stop"
"usage": {
"prompt_tokens": 40,
"completion_tokens": 159,
"total_tokens": 199
So we just put that in our example code as “response” - or you can start with the response of an actual chat completion call (although note that response can be a generator without completed response)
Then some code to extract one AI response, and some code to demonstrate picking, thanks to AI specifications about as long as the output:
def pick_choice(response, index):
choices = response.get("choices", [])
if 0 <= index < len(choices):
return choices[index]["message"]["content"]
else:
return "Error: Index does not exist in choices."
# Demonstration of the function
while True:
choice_index = input("Enter choice index (0-5) or press Enter to exit: ")
if not choice_index:
break
choice_index = int(choice_index)
content = pick_choice(response, choice_index)
print(content)
except ValueError:
print("Error: Invalid input. Please enter a valid integer index.")
except IndexError as e:
print(str(e))
(handle errors in a way that actually works for you)
Python Version: 3.11.1
OpenAI Version: 0.28.0
I changed the file name and I’ve formatted the response in the style the documentation provided and it’s still returning an error
Error/Problem:
“getitem” method not defined on type "Generator[Unknown | list[Unknown] | dict[Unknown, Unknown], None, None]"P
def analyze_derogatory_marks(derog_counter):
if isinstance(derog_counter, list):
derog_counter = ', '.join(derog_counter)
elif isinstance(derog_counter, dict):
derog_counter = ', '.join(f"{k}: {v}" for k, v in derog_counter.items())
system_message = "You are a helpful assistant that analyzes derogatory marks on a credit report."
user_message = f"The user has the following derogatory marks on their credit report: {derog_counter}. " \
f"Please provide a summary of these marks, their potential impact on the user's credit score, " \
f"and suggestions on how to improve the credit score."
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": system_message},
{"role": "user", "content": user_message}
analysis = response['choices'][0]['message']['content']
return analysis
Let’s make a new function that isolates the generator of openai and returns indexable bare responses.
import openai
openai.api_key = "sk-12345" # your key (or environment)
def api_playground(msg,model="gpt-3.5-turbo",max_tokens=100,temperature=0.5,top_p=0.99,n=1):
api_params = {"messages": msg,"model": model,"max_tokens": max_tokens,
"temperature": temperature,"top_p": top_p,"n": n}
response = openai.ChatCompletion.create(**api_params)
new_dictionary = {}
for choice in response["choices"]:
index = choice["index"]
content = choice["message"]["content"]
new_dictionary[index] = content
return new_dictionary
# many more openai-specific error handlers can go here
except Exception as err:
error_message = f"API Error: {str(err)}"
return error_message
messages=[
"role": "system",
"name": "joke_of_the_day_generator",
"content": 'Output format of short joke: {"joke_question": "(AI random joke)", "joke_answer": "(punchline)"}'
api_out = api_playground(messages, n=2, temperature=2) # returns dictionary of choices
print('--API Playground - outputs by index demo --')
print(api_out[0])
print(api_out[1])
print('---------------')
output (python 3.8.16):
--API Playground - outputs by index demo --
{"joke_question": "(Why don't skeletons fight each other?)", "joke_answer": "(They don't have the guts!)"}
{"joke_question": "Why don't scientists trust atoms?", "joke_answer": "Because they make up everything!"}
---------------
If that doesn’t work for you, you take your python > 3.9 and bit bucket it.
note: if installing Python “for all users”, that is installing in a system/administrator account. (my preferred way)
You must then also do any pip install
as administrator. cmd.exe
->“run as administrator”
Samso:
getitem” method not defined on type "Generator[Unknown | list[Unknown] | dict[Unknown, Unknown], None, None]
I’m on 3.11.2 and the latest openai module
response['choices'][0]['message']['content']
.strip()
and this works just like this
Samso:
response.choices[0].message.content.strip()
You can try specifying the type for response as dict before you do a complete re-install:
response: dict = openai.ChatCompletion.create(...)
Also what IDE/Editor are you using @Samso ?