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fix: increase TIMEOUT_MEDIUM from 2m to 5m for LLM tasks (#843)

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Topic detection was timing out on longer transcripts when LLM
responses are slow. This affects detect_chunk_topic and other
LLM-calling tasks that use TIMEOUT_MEDIUM.

Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com>
This commit is contained in:
Igor Monadical
2026-02-03 16:05:16 -05:00
committed by GitHub
parent a2ed7d60d5
commit 4acde4b7fd
1 changed files with 3 additions and 1 deletions
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4
server/reflector/hatchet/constants.py
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@@ -35,7 +35,9 @@ LLM_RATE_LIMIT_PER_SECOND = 10
# Task execution timeouts (seconds) # Task execution timeouts (seconds)
TIMEOUT_SHORT = 60 # Quick operations: API calls, DB updates TIMEOUT_SHORT = 60 # Quick operations: API calls, DB updates
TIMEOUT_MEDIUM = 120 # Single LLM calls, waveform generation TIMEOUT_MEDIUM = (
300 # Single LLM calls, waveform generation (5m for slow LLM responses)
)
TIMEOUT_LONG = 180 # Action items (larger context LLM) TIMEOUT_LONG = 180 # Action items (larger context LLM)
TIMEOUT_AUDIO = 720 # Audio processing: padding, mixdown TIMEOUT_AUDIO = 720 # Audio processing: padding, mixdown
TIMEOUT_HEAVY = 600 # Transcription, fan-out LLM tasks TIMEOUT_HEAVY = 600 # Transcription, fan-out LLM tasks