Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.2682108879089355s
Received healthy response to inference request in 3.963151216506958s
Received healthy response to inference request in 4.803351402282715s
Received healthy response to inference request in 3.7830238342285156s
Failed to get response for submission chaiml-mistral-24b-2048_15988_v1: ('http://chaiml-mistral-24b-2048-15988-v1-predictor.tenant-chaiml-guanaco.kchai-coreweave-us-east-04a.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Received healthy response to inference request in 3.1434431076049805s
Received healthy response to inference request in 3.386651039123535s
Received healthy response to inference request in 2.813422918319702s
Received healthy response to inference request in 2.4702529907226562s
Received healthy response to inference request in 4.528314113616943s
Received healthy response to inference request in 1.6891002655029297s
10 requests
0 failed requests
5th percentile: 2.0406189918518067
10th percentile: 2.3921377182006838
20th percentile: 2.744788932800293
30th percentile: 3.044437050819397
40th percentile: 3.2183037757873536
50th percentile: 3.3274309635162354
60th percentile: 3.545200157165527
70th percentile: 3.837062048912048
80th percentile: 4.076183795928955
90th percentile: 4.5558178424835205
95th percentile: 4.679584622383118
99th percentile: 4.778598046302795
mean time: 3.3848921775817873
Pipeline stage StressChecker completed in 36.42s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.59s
Shutdown handler de-registered
function_gufil_2026-02-15 status is now deployed due to DeploymentManager action
function_gufil_2026-02-15 status is now inactive due to auto deactivation removed underperforming models