InvalidRequestError
openai.InvalidRequestError
Stack trace
openai.InvalidRequestError: The model `nonexistent-model` does not exist
at openai.api_requestor.APIRequestor.handle_error_response (/path/to/sdk/requestor.py:123)
at openai.api_requestor.APIRequestor.request (/path/to/sdk/requestor.py:85)
at openai.OpenAI.chat.completions.create (/path/to/sdk/openai.py:456)
at main.py:15 Why it happens
This error occurs when the model name provided in the API call is misspelled, deprecated, or not available in your OpenAI account region or subscription. The API validates the model parameter and returns this error if it cannot find a matching model.
Detection
Check the model parameter before making the API call; validate it against the list of available models from the OpenAI API or your account dashboard to catch invalid names early.
Causes & fixes
Typo or incorrect model name in the API request
Verify and correct the model name string to exactly match a valid OpenAI model identifier, such as 'gpt-4o' or 'gpt-4o-mini'.
Using a model that has been deprecated or removed
Update your code to use a currently supported model listed in the OpenAI documentation or your account's available models.
Model not enabled or accessible in your OpenAI subscription or region
Check your OpenAI account permissions and subscription plan to ensure the model is enabled and available in your region.
Code: broken vs fixed
import os
from openai import OpenAI
client = OpenAI(api_key=os.environ['OPENAI_API_KEY'])
response = client.chat.completions.create(
model='nonexistent-model', # This invalid model triggers InvalidRequestError
messages=[{"role": "user", "content": "Hello"}]
)
print(response)import os
from openai import OpenAI
client = OpenAI(api_key=os.environ['OPENAI_API_KEY'])
response = client.chat.completions.create(
model='gpt-4o-mini', # Fixed: valid model name
messages=[{"role": "user", "content": "Hello"}]
)
print(response) # Prints the chat completion responseWorkaround
Catch InvalidRequestError exceptions and fallback to a default valid model name programmatically to avoid crashes while logging the invalid model for later correction.
Prevention
Maintain a centralized list of valid model names fetched dynamically from the OpenAI API's model list endpoint and validate model parameters against it before requests.