I updated yesterday [1] and now there are a lot of errors in the logs: Discourse AI: structured output response was not valid JSON, falling back to best-effort parsing (311 bytes) I inspected the HTTP response and it had no issue. Then I tried the text with rails console: ... discourse(prod)> p =…

Fix is here: FIX: Preserve whitespace in streamed JSON (#42339) main ← jsonfix merged 07:31AM - 05 Aug 26 UTC (UTC) [image] SamSaffron …

[image] lilydjwg: and now there are a lot of errors in the logs: That is a warning, not an error. That said, I’m moving that to INFO log level, as people keep getting worried about these :face_exhaling:

[image] Falco: That is a warning, not an error. Well, technically true, but it indicates a bug in the code. The fallback works so no error is raised, but it is better to fix the source instead of moving it to INFO level to cover up, isn’t it? JSON allows line feed charaters as whitespace but…

To illustrate, the following is valid JSON: { "key": "value" } The following is an escaped one, which is invalid and causing the issue: {\u000a "key": "value"\u000a}

llama-server -hf mradermacher/Qwen3-4B-Instruct-2507-GGUF:Q4_K_M

A 4B model is going to struggle to comply, they are getting better, but this is certainly on the older side. If you are going 4B I probably would recommend something more recent … try Qwen 3.5-4B or Gemma 4 E4B.

I believe that llama.cpp forces the schema by picking only tokens that conforms to it. I also captured a response with tcpdump and checked that the returned response is valid JSON. It contained spaces and line breaks outside strings however (i.e. it is a pretty-printed JSON), and those line breaks …

Discourse AI : la réponse de sortie structurée n'était pas un JSON valide

Soutien

sam (Sam Saffron) Août 5, 2026, 5:27 5

Quel LLM utilisez-vous ?

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Discourse AI : la réponse de sortie structurée n'était pas un JSON valide

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