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[GH-ISSUE #1622] [BUG] Inference task that takes a really long time to pre-process (>10 minutes) caused by slow tokenization #1015
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opened 2026-03-02 11:54:24 +03:00 by kerem
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Originally created by @pdc1 on GitHub (Jun 16, 2025).
Original GitHub issue: https://github.com/karakeep-app/karakeep/issues/1622
Describe the Bug
I have a bookmark that causes an inference task that never ends, with a
nodeprocess that is stuck using 100% of one processor. The task never ends and never appears to time out. To recover, I have to delete the queue.db and restart the container.The bookmark was originally imported in 0.24.1, which did not have this issue. I am guessing that the error is in the new tokenization, with the exception not properly caught by the processing thread, but that's just a guess.
The logs look like this:
Steps to Reproduce
Expected Behaviour
Content is processed or produces an error.
Screenshots or Additional Context
I can provide the full log file if it will help.
Device Details
No response
Exact Karakeep Version
0.25.0
Have you checked the troubleshooting guide?
@pdc1 commented on GitHub (Jun 17, 2025):
I forgot to mention, the ollama server never saw a request, so the job is stuck on the karakeep_web side. I am also willing to share my database if that would help with debugging.
@pdc1 commented on GitHub (Jun 18, 2025):
I have found a few more sites that have the
Could not parse CSS stylesheeterror, but none of them result in the stuck inference job. It is strange since the logs say it extracted readable content, but then some time later says the operation timed out.@Quack6765 commented on GitHub (Jun 19, 2025):
Same thing here with the following link: https://www.canadiantire.ca/en/pdp/ninja-creami-swirl-12-in-1-ice-cream-frozen-treat-maker-soft-serve-maker-nc701c-4992174p.html
Running v0.25.0
@pdc1 commented on GitHub (Jun 19, 2025):
I tried another experiment, this time regenerating only the summaries. There was no CSS error, though this time there was an indexing timeout, and after 10 minutes the inference task did time out. It then tried again, and presumably will move on at some point. So it's not as bad as I originally thought, but it would be really nice to understand what is causing the timeout. As I mentioned,
ollamais not contacted, so it appears to be something on the web app side.Note that I do not have a value set for
INFERENCE_FETCH_TIMEOUT_SECso I was expecting a timeout of 5 min, not 10 min.@pdc1 commented on GitHub (Jun 20, 2025):
Hi there, me again. I looked through the summary logs for the bookmark above that always gets stuck, and found something interesting:
What is interesting is there are 4 timeouts, but also four success messages, although MUCH later. Could it really be that the full processing is taking from 21:23:29 to 21:53:58?! (half an hour!!) It looks like the last run takes more like 15 minutes, perhaps without the other retries going on in parallel.
I would love to know what the system is doing to use that much CPU before even sending the inference job to ollama! And only ~7000 tokens does not sound like a lot, once it got sent.
I'm going to try with a 1/2 hour timeout 😄
@pdc1 commented on GitHub (Jun 21, 2025):
Okay, I made a really long timeout and it helped quite a bit. This time since there were not multiple competing jobs due to the timeout, the processing "only" took around 10.5 minutes to process tags, and another 11 minutes to process the summary. In both cases the ollama processing was minimal, 4 seconds for tags and 6 seconds for summary.
To summarize, something about this bookmark or site takes a REALLY long time for karakeep to tokenize, but if the timeouts are set long enough the processing works. If the timeouts are set too short, karakeep runs multiple versions of each job, each of which keeps running in the background after the timeout expires.
@MohamedBassem commented on GitHub (Jun 21, 2025):
I can reproduce the issue and it seems to be indeed coming from the tokenizer, which is very surprising. Will try to dig deeper to understand why it happens.
@MohamedBassem commented on GitHub (Jun 21, 2025):
The problem seems to be happening because the extracted content of this website contains a ton of white spaces, which I assume kills the performance of the tokenizer. One easy fix can be to eliminate consecutive white spaces, but let me first check if there's an open issue for this on the tokenizer lib we're using.
@pdc1 commented on GitHub (Jun 21, 2025):
I took a look in the database and wow! The text is 136K, and when I replaced all space/tab/newline with just a space, the size dropped to just 14K, a 90% reduction in size!
Thanks for taking a look!