OpenAI’s openai.error.InvalidRequestError "Engine not found" typically occurs when there is an issue with the specified engine or some other required parameter, leading to an unsuccessful interaction with the OpenAI platform.
💡 A common cause is an incorrect engine name or a missing colon in the engine parameter. Troubleshooting steps involve carefully reading the error message, verifying the specified engine, and ensuring that all necessary parameters are correctly provided.
Understanding OpenAI Error InvalidRequestError
This error typically occurs when you provide an incorrect or invalid engine name in your API request. To resolve this issue, you should ensure that you use the correct engine name in your API call. 👇
For example, you might need to change the engine name from code-davinci-002 to code-davinci:002 as stated in a Stack Overflow post.
In some cases, the InvalidRequestError may result from using a deprecated API endpoint.
For example, if your organization does not have access to a particular endpoint, you might receive an “InvalidRequestError” message. To resolve such errors, refer to the official OpenAI Help Center for information on the expected parameters, values, or formats in an API request.
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Common Causes
Incorrect Engine Name
One common cause of the openai.error.InvalidRequestError: Engine not found error is using an incorrect engine name. When working with OpenAI, the engine name should have a colon (:) separating the engine type and the version number.
For example, instead of using code-davinci-002, you should use code-davinci:002. Using the correct syntax will ensure the API recognizes the engine and processes your request without errors.
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API Issues
Another common cause could be related to the API itself.
Ensure that you’ve used the correct API endpoint and method; for instance, you might need to use the POST method with https://api.openai.com/v1/engines/code-davinci-002/completions as the endpoint. Furthermore, make sure your access token and other required parameters are properly configured in your code, as this can also lead to an InvalidRequestError.
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Remember to always double-check your engine names and API configurations to avoid errors and enjoy a smooth OpenAI experience. 👩💻🚀
Troubleshooting Steps
When encountering an openai.error.InvalidRequestError with the message "Engine not found", there are several steps you can follow to resolve the issue. In this section, we will cover a few of the possible solutions: Verify Engine Name, Check API Documentation, and Inspect API Key.
Verify Engine Name
The first step is to ensure you have provided the correct engine name in your API call. Review your code and validate the engine name you are using. The engine name should be in the format of code-davinci:002 rather than code-davinci-002. Verify that the correct engine name is used, including any necessary colons for proper formatting.
Check API Documentation
Another potential issue could be an incorrect API call syntax. Take some time to go through OpenAI’s API documentation to make sure your call is structured correctly. It might be necessary to adjust the parameter names or values in your API call, such as changing model to engine. Pay close attention to the documentation and any provided examples, as they can assist in confirming the correct usage.
Inspect API Key
Lastly, ensure your OpenAI API key is correctly configured. Unexpected authentication errors or resource-related issues may occur if the key is invalid or expired. Double-check your API key’s validity on the OpenAI platform and update your code as needed.
Resolving the Error
Right Engine Selection
When working with OpenAI’s GPT-3 API, it’s essential to ensure that the correct engine is selected. One common source of the openai.error.InvalidRequestError: Engine not found error is a missing colon in the engine name, such as code-davinci-002 instead of code-davinci:002 👀. To resolve this issue, double-check your code and make sure you’re using the correct engine name format.
For example:
engine = "code-davinci:002"
Remember, OpenAI offers a variety of engines, and the specific engine you choose will depend on your use case. Review the available engines and make sure you’re using the one that best fits your needs.
Update API Version
In some cases, you may encounter an InvalidRequestError because you’re using an outdated API version or a deprecated method. To resolve this, ensure you’re using the latest version of the OpenAI API and follow the official documentation for implementation guidance 🔧.
For instance, if you’re experiencing an error with the openai.File.create method in GPT-3, consider updating your code to use the openai.FineTune.create method instead:
import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
openai.FineTune.create(training_file="file-XGinujblHPwGLSztz8cPS8XY")
By making sure you’re using the right engine selection and updating your API version, you can resolve the InvalidRequestError and continue working with OpenAI’s powerful suite of tools 💪.
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Frequently Asked Questions
How do I resolve the engine not found error?
When encountering an openai.error.InvalidRequestError related to the engine not found, ensure that you are using the correct engine name with the proper format. For example, change code-davinci-002 to code-davinci:002. Double-check the available engines in OpenAI and make sure you are using the correct syntax.
What are the available engines in OpenAI?
OpenAI offers several engines, each varying in capabilities. For their full list and detailed information, refer to the API documentation on their website.
Can I use a custom model in OpenAI?
OpenAI currently does not support training custom models on their platform. However, they might add this feature in the future. Keep an eye on their API updates for any changes.
How do I specify the engine parameter correctly?
When using the OpenAI API, to set the engine parameter correctly, you need to use the format engine="engine_name" within your API call. Make sure the engine name is valid and spelled correctly.
When creating a deployment, which parameters are required?
When creating a deployment with the OpenAI API, you must specify at least the following required parameters: engine, prompt (or documents for some engines), and max_tokens. Make sure to familiarize yourself with the API documentation to learn about additional parameters that might be applicable to your use case.
Are there any deprecated models in OpenAI?
OpenAI periodically retires older models to introduce newer, more potent models. It is essential to check the list of available models and their API updates to stay informed about any deprecated models or changes.
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