openai
#10086
value_below_minimum_error
The specified value is less than the minimum requirement of 1 for "max_tokens".
This error has been identified and solved.
Reason
The error you are encountering with the OpenAI API, specifically the max_tokens is too large error, is due to the following reasons:
Model Context Length Limitation
The total token count, which includes both the input tokens (prompt, messages, etc.) and the max_tokens specified for the response, cannot exceed the model's maximum context length. For most models, this context length is limited to 2048 or 4096 tokens, depending on the specific model being used.
Misalignment with Documentation
There seems to be a misunderstanding in how max_tokens is interpreted. The max_tokens parameter specifies the maximum number of tokens to generate in the completion (the AI's response), but it must not cause the total token count (input + output) to exceed the model's context length.
Total Token Count Exceeding Limits
If the sum of the input tokens and the specified max_tokens exceeds the model's context window, you will receive an error. For example, if the model supports a maximum of 4096 tokens and your input tokens plus max_tokens exceed this limit, the API will return an error.
Solution
To fix the max_tokens is too large error in the OpenAI API, you need to ensure that the total token count, including both the input tokens and the specified max_tokens, does not exceed the model's maximum context length.
Here are some key steps to resolve this issue:
Adjust the
max_tokensparameter: Lower themax_tokensvalue so that the total token count (input tokens +max_tokens) stays within the model's maximum context length limit (e.g., 4096 tokens for many models).Optimize the input: Reduce the length of the input prompt or messages to free up more tokens for the response.
Use appropriate models: Ensure you are using a model that supports the necessary context length for your application. For example, if you need a larger context window, consider using a model like GPT-4 which has a higher token limit.
Split the task: If the prompt is too large, consider splitting the task into smaller parts and making multiple API calls to stay within the token limits.
