Troubleshooting of OpenAI API - Revision history

Planetoid: /* Further reading */

2026-03-26T01:31:29Z

Planetoid: /* How to fix "API Error (HTTP 400): Encrypted content is not supported with this model" */

2026-03-25T10:07:32Z

How to fix "API Error (HTTP 400): Encrypted content is not supported with this model"

← Older revision		Revision as of 18:07, 25 March 2026
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	# This error occurs when using the `include` parameter (e.g., for prompt caching or encrypted content) with a model that does not support it. GPT-4.1 does not support encrypted/included content in this way.		# This error occurs when using the `include` parameter (e.g., for prompt caching or encrypted content) with a model that does not support it. GPT-4.1 does not support encrypted/included content in this way.
	# Remove or omit the `include` parameter from your API request payload.		# Remove or omit the `include` parameter from your API request payload.
			# Alternatively, switch to a model that supports this feature, such as reasoning models like GPT-5.2 or later.
	# See more details on OpenAI's model documentation: https://platform.openai.com/docs/models		# See more details on OpenAI's model documentation: https://platform.openai.com/docs/models

Planetoid: /* How to fix "Invalid parameter: 'response_format' of type 'json_object' is not supported with this model" */

2026-03-25T09:58:46Z

How to fix "Invalid parameter: 'response_format' of type 'json_object' is not supported with this model"

@@ Line 124: / Line 124: @@
+   }
 </pre>
 === How to fix "Invalid parameter: 'response_format' of type 'json_object' is not supported with this model" ===

Planetoid: /* Further reading */

2025-07-14T03:55:19Z

Planetoid: /* How to Solve AI Forgetting Training Content */

2025-06-08T02:06:33Z

How to Solve AI Forgetting Training Content

← Older revision		Revision as of 10:06, 8 June 2025
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	~~=== How to Solve AI Forgetting Training Content ===~~

	~~📝 Inquiry:~~

	~~<pre>~~
	I'd like to ask a follow-up question: If we adopt a "layer-by-layer prompt optimization" approach to improve AI performance, might we encounter the following situation: After multiple rounds of prompt optimization, the AI does learn the relevant skills and performs well, but after some time, it forgets these trained capabilities?

	I want to understand whether current mainstream AI model platforms all have stable memory retention capabilities - that is, can they continuously remember the training prompts and guidance we've previously provided?

	Sometimes I feel that AI's memory seems unstable. During the same project, content and requirements that I've already explained to the AI in detail need to be re-explained from scratch after a while, which makes me question the continuity of AI learning.
	~~</pre>~~

	~~💬 Response:~~

	Indeed, early AI models, due to shorter context window limitations, were prone to drifting from their original settings. When I encounter such situations, I usually choose to start a completely new conversation and restart the entire interaction process.

	Current AI models should have significant improvements in this regard. If this conversation's results are satisfactory, I suggest you can give the AI an instruction to summarize and consolidate the entire conversation process, integrating the accumulated interaction principles and experiences from the dialogue into the initial prompt:

	~~<pre>~~
	~~Assuming I want to start a new conversation to discuss the same topic, please suggest what complete prompt I should use.~~

	~~This prompt needs to include important content from our entire discussion process:~~
	~~(1) The core problems and objectives that the original prompt aimed to solve~~
	~~(2) Important aspects and details related to the original problem that the initial solution method didn't fully consider~~
	~~</pre>~~

	== Further reading ==		== Further reading ==

Planetoid: /* Further reading */

2025-05-29T04:12:54Z

Planetoid: /* How to Solve AI Forgetting Training Content */

2025-05-29T04:08:29Z

How to Solve AI Forgetting Training Content

← Older revision		Revision as of 12:08, 29 May 2025
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	=== How to Solve AI Forgetting Training Content ===		=== How to Solve AI Forgetting Training Content ===

	Inquiry:		📝 Inquiry:

	<pre>		<pre>
Line 502:		Line 502:
	</pre>		</pre>

	Response:		💬 Response:

	Indeed, early AI models, due to shorter context window limitations, were prone to drifting from their original settings. When I encounter such situations, I usually choose to start a completely new conversation and restart the entire interaction process.		Indeed, early AI models, due to shorter context window limitations, were prone to drifting from their original settings. When I encounter such situations, I usually choose to start a completely new conversation and restart the entire interaction process.

Planetoid: /* Force Traditional Chinese Output */

2025-05-29T04:05:29Z

Force Traditional Chinese Output

← Older revision		Revision as of 12:05, 29 May 2025
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	```		```

			</pre>



			=== How to Solve AI Forgetting Training Content ===

			Inquiry:

			<pre>
			I'd like to ask a follow-up question: If we adopt a "layer-by-layer prompt optimization" approach to improve AI performance, might we encounter the following situation: After multiple rounds of prompt optimization, the AI does learn the relevant skills and performs well, but after some time, it forgets these trained capabilities?

			I want to understand whether current mainstream AI model platforms all have stable memory retention capabilities - that is, can they continuously remember the training prompts and guidance we've previously provided?

			Sometimes I feel that AI's memory seems unstable. During the same project, content and requirements that I've already explained to the AI in detail need to be re-explained from scratch after a while, which makes me question the continuity of AI learning.
			</pre>

			Response:

			Indeed, early AI models, due to shorter context window limitations, were prone to drifting from their original settings. When I encounter such situations, I usually choose to start a completely new conversation and restart the entire interaction process.

			Current AI models should have significant improvements in this regard. If this conversation's results are satisfactory, I suggest you can give the AI an instruction to summarize and consolidate the entire conversation process, integrating the accumulated interaction principles and experiences from the dialogue into the initial prompt:

			<pre>
			Assuming I want to start a new conversation to discuss the same topic, please suggest what complete prompt I should use.

			This prompt needs to include important content from our entire discussion process:
			(1) The core problems and objectives that the original prompt aimed to solve
			(2) Important aspects and details related to the original problem that the initial solution method didn't fully consider
	</pre>		</pre>

Planetoid: /* 強制保持繁體中文輸出 */

2025-04-05T14:30:42Z

強制保持繁體中文輸出

← Older revision		Revision as of 22:30, 5 April 2025
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	Explanation: The backslash {{kbd \| key=<nowiki>\</nowiki>}} at the end of each line indicates that the command is not yet finished and will continue on the next line. Ensure that there are no extra characters or commands after the -d parameter or any other parameters to avoid similar errors.		Explanation: The backslash {{kbd \| key=<nowiki>\</nowiki>}} at the end of each line indicates that the command is not yet finished and will continue on the next line. Ensure that there are no extra characters or commands after the -d parameter or any other parameters to avoid similar errors.

	=== ~~強制保持繁體中文輸出~~ ===		=== Force Traditional Chinese Output ===

	* ~~在問題前面加上~~ #zh-TW <ref>[https://learntech.tw/chatgpt-traditional-chinese/ ~~ChatGPT：如何強制保持繁體中文輸出｜學科技、省時間~~ - ~~學科技~~]</ref>		* Add #zh-TW before your question <ref>[https://learntech.tw/chatgpt-traditional-chinese/ ChatGPT: How to Force Traditional Chinese Output \| Learn Technology, Save Time - Learn Technology]</ref>
	* ~~或「使用臺灣常用的繁體中文」~~		* Or say "Use Traditional Chinese commonly used in Taiwan"

	<pre>		<pre>
	```		```
	~~請使用台灣常用的繁體中文：~~		Use Traditional Chinese commonly used in Taiwan:

	~~規則：~~		Rules
	- ~~使用全形標點符號，中英文之間加入空格。~~		- Use full-width punctuation marks and add spaces between Chinese and English text.
	- ~~以下是常見的~~ AI ~~相關術語詞彙對應表（English~~ -> ~~中文）：~~		- Below is a common AI terminology correspondence table (English -> Traditional Chinese):
	* Transformer -> Transformer		* Transformer -> Transformer
	* Token -> Token		* Token -> Token
Line 446:		Line 446:
	* AI Agent -> AI 代理		* AI Agent -> AI 代理
	* AGI -> 通用人工智慧		* AGI -> 通用人工智慧
	- ~~以下是常見的台灣用語對應表（English~~ -> ~~中文）：~~		- The following is a table of common Taiwanese terms (English -> Traditional Chinese):
	* create -> 建立		* create -> 建立
	* quality -> 質量		* quality -> 質量

Planetoid: /* How to fix "Invalid parameter: 'response_format' of type 'json_object' is not supported with this model" */

2025-01-24T02:48:38Z

How to fix "Invalid parameter: 'response_format' of type 'json_object' is not supported with this model"

← Older revision		Revision as of 10:48, 24 January 2025
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	Solution:		Solution:
	* The model "gpt-4" was not supported. Need to use model of {{kbd \| key=gpt-3.5-turbo-1106}} or {{kbd \| key=gpt-4-1106-preview}} <ref>[https://github.com/openai/openai-python/issues/887 response_format error · Issue #887 · openai/openai-python]</ref><ref>[https://platform.openai.com/docs/api-reference/chat/create API Reference - OpenAI API]</ref><ref>[https://community.openai.com/t/openai-api-guide-using-json-mode/557265/1 🛡️ OpenAI API Guide: Using JSON Mode - API - OpenAI Developer Forum]</ref>.		* The model "gpt-4" was not supported. Need to use model of {{kbd \| key=gpt-3.5-turbo-1106}} or {{kbd \| key=gpt-4-1106-preview}} or {{kbd \| key=gpt-4o}} <ref>[https://github.com/openai/openai-python/issues/887 response_format error · Issue #887 · openai/openai-python]</ref><ref>[https://platform.openai.com/docs/api-reference/chat/create API Reference - OpenAI API]</ref><ref>[https://community.openai.com/t/openai-api-guide-using-json-mode/557265/1 🛡️ OpenAI API Guide: Using JSON Mode - API - OpenAI Developer Forum]</ref>.

	<pre>		<pre>

← Older revision		Revision as of 09:31, 26 March 2026
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	== Further reading ==		== Further reading ==

	* [[~~ChatGPT prompts~~]] ([[ChatGPT prompts#How to improve the prompt design \| How to improve the prompt design]])		* [[AI Prompt Engineering]] ([[ChatGPT prompts#How to improve the prompt design \| How to improve the prompt design]])
	* [https://help.openai.com/en/collections/3780021-general-top-faq General Top FAQ \| OpenAI Help Center]		* [https://help.openai.com/en/collections/3780021-general-top-faq General Top FAQ \| OpenAI Help Center]
	* [https://help.openai.com/en/collections/3675931-openai-api#api-error-codes-explained OpenAI API \| OpenAI Help Center]		* [https://help.openai.com/en/collections/3675931-openai-api#api-error-codes-explained OpenAI API \| OpenAI Help Center]

← Older revision		Revision as of 11:55, 14 July 2025
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	* [https://platform.openai.com/docs/guides/error-codes Error codes - OpenAI API]		* [https://platform.openai.com/docs/guides/error-codes Error codes - OpenAI API]
	* [https://errerrors.blogspot.com/2024/07/openai-batch-api-troubleshooting.html OpenAI Batch API 常見技術問題排除]		* [https://errerrors.blogspot.com/2024/07/openai-batch-api-troubleshooting.html OpenAI Batch API 常見技術問題排除]
			* [https://platform.openai.com/docs/guides/production-best-practices Production best practices - OpenAI API]

	== References ==		== References ==

← Older revision		Revision as of 12:12, 29 May 2025
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	== Further reading ==		== Further reading ==

	* [[ChatGPT prompts]]		* [[ChatGPT prompts]] ([[ChatGPT prompts#How to improve the prompt design \| How to improve the prompt design]])
	* [https://help.openai.com/en/collections/3780021-general-top-faq General Top FAQ \| OpenAI Help Center]		* [https://help.openai.com/en/collections/3780021-general-top-faq General Top FAQ \| OpenAI Help Center]
	* [https://help.openai.com/en/collections/3675931-openai-api#api-error-codes-explained OpenAI API \| OpenAI Help Center]		* [https://help.openai.com/en/collections/3675931-openai-api#api-error-codes-explained OpenAI API \| OpenAI Help Center]