Inytermittent- Langgraph server all child processes not coming up with same resource settings #13

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opened 2026-02-16 05:17:19 -05:00 by yindo · 0 comments
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Originally created by @nsingl00 on GitHub (Feb 24, 2025).

Hi,

When i run !langgraph dev --host 0.0.0.0 --port 8080, I see that sometimes i see only 1 process

appuser 316 1 10 22:52 ? 00:00:00 /usr/bin/python3.11 /app/.local/bin/langgraph dev --host 0.0.0.0 --port 8080

Sometimes i see 3 processes

appuser      316       1 10 22:52 ?        00:00:00 /usr/bin/python3.11 /app/.local/bin/langgraph dev --host 0.0.0.0 --port 8080
appuser      320     316  0 22:52 ?        00:00:00 /usr/bin/python3.11 -c from multiprocessing.resource_tracker import main;main(7)
appuser      321     316 99 22:52 ?        00:00:04 /usr/bin/python3.11 -c from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=8, pipe_handle=10) --multiprocessing-fork

without changing anything in resource settings. Due to its intermittent nature, I am unable to open langgraph server on Model Studio.

I wonder is there any issue in code the way child processes are getting started

Originally created by @nsingl00 on GitHub (Feb 24, 2025). Hi, When i run !langgraph dev --host 0.0.0.0 --port 8080, I see that sometimes i see only 1 process `appuser 316 1 10 22:52 ? 00:00:00 /usr/bin/python3.11 /app/.local/bin/langgraph dev --host 0.0.0.0 --port 8080` Sometimes i see 3 processes ``` appuser 316 1 10 22:52 ? 00:00:00 /usr/bin/python3.11 /app/.local/bin/langgraph dev --host 0.0.0.0 --port 8080 appuser 320 316 0 22:52 ? 00:00:00 /usr/bin/python3.11 -c from multiprocessing.resource_tracker import main;main(7) appuser 321 316 99 22:52 ? 00:00:04 /usr/bin/python3.11 -c from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=8, pipe_handle=10) --multiprocessing-fork ``` without changing anything in resource settings. Due to its intermittent nature, I am unable to open langgraph server on Model Studio. I wonder is there any issue in code the way child processes are getting started
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Reference: langchain-ai/langgraph-example#13