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[GH-ISSUE #3567] The dialogue effect in the workspace through the front-end UI is inconsistent with the API access effect, and the gap is quite large #2299
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opened 2026-02-22 18:29:04 -05:00 by yindo
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Reference: Mintplex-Labs/anything-llm#2299
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Originally created by @Donaghys on GitHub (Mar 31, 2025).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/3567
Thank you for the author's analysis work. I have been studying this project recently and have found that using the same model to create a workspace, and then uploading several documents as vertical knowledge of the model, to address the same issue, the feedback effect of the model is relatively good when conversing with the workspace through the front-end UI. However, when conversing with the model through API calls, the model effect is relatively poor. What is the problem?
@timothycarambat commented on GitHub (Mar 31, 2025):
Are you saying the exact same query from the API to a workspace and via the frontend generate very different and incorrect responses? They use the same process and document set for search so their responses may change slightly since LLMs are non-deterministic, but it should not be far apart in accuracy.
Can you provide some examples here that would be able to be reproduced? The flows, as far as code goes, are identical.
The dialogue effect in the workspace through the front-end UI is inconsistent with the API access effect, and the gap is quite largeto [GH-ISSUE #3567] The dialogue effect in the workspace through the front-end UI is inconsistent with the API access effect, and the gap is quite large