Clarification for max_tokens - API - OpenAI Developer Community max_tokens defaults to 16 That is only for completions endpoints, which makes setting the max_tokens value essentially required For chat completion endpoint, you can simply not specify a max_token value, and then all the remaining completion space not used by input can be used for forming a response, without needing careful tedious token-counting calculation to try to get close
Azure OpenAI 질문과 대답 | Microsoft Learn 기본적으로 GPT-4 vision-preview 및 GPT-4 turbo-2024-04-09의 max_tokens 값은 16입니다 사용자의 요청에 따라 이 값이 너무 낮은 경우가 많으며, 응답이 잘릴 수 있습니다 이 문제를 해결하려면 채팅 완료 API 요청의 일부로 더 큰 max_tokens 값을 전달합니다 GPT-4o의 경우 max
OpenAI API: How do I specify the maximum number of words a . . . STEP 2: Use tiktoken to calculate the number of tokens in a prompt the user enters before(!) sending an API request to the OpenAI API After you have chosen the maximum length restriction for the prompt, you need to check the prompt every time the user enters it to see if it doesn't exceed your limit of 22 tokens
Why was max_tokens changed to max_completion_tokens? The new o1 series of models deprecate the max_tokens parameter in favor of a new max_completion_tokens parameter and I’d like to understand the rational for this change as it’s likely to have wide sweeping impacts for what appears to be a simple wording change Most of the breaking changes up to this point have made sense but I can’t understand the rational for this as it looks like you
Request: Query for a models max tokens - API - OpenAI . . . When working with the OpenAPI models endpoint it would be quite nice to be able to directly query the models max number of tokens This is useful to avoid hard coding in the model(s) max token vals to compare against my own tokenized version of a users input prior to submission This is to avoid users submitting prompts to OpenAI that exceed the model length Edit - I just queried ‘gpt-3 5
Limiting maximum number of reasoning tokens - API - OpenAI . . . max_output_tokens Use of max_output_tokens (aka max_completion_tokens on Chat Completions) will truncate and stop the output It will not affect the AI’s generation up to that point That might mean that you spend 4000 tokens on internal reasoning and the generation is terminated before you ever see any output