fix(ci): update est_time for 57 tests based on runtime analysis (#21896)

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

test/registered/attention/test_chunk_gated_delta_rule.py

@@ -8,7 +8,7 @@ from sglang.srt.layers.attention.fla.fused_recurrent import (
 )
 from sglang.test.ci.ci_register import register_cuda_ci
 
-register_cuda_ci(est_time=60, suite="stage-b-test-1-gpu-large")
+register_cuda_ci(est_time=8, suite="stage-b-test-1-gpu-large")
 
 
 @unittest.skipIf(not torch.cuda.is_available(), "Test requires CUDA")

test/registered/attention/test_hybrid_attn_backend.py

@@ -20,7 +20,7 @@ from sglang.test.test_utils import (
 
 # Hybrid attention backend tests (FA3 prefill + FlashInfer decode, requires SM 90+ / H100)
 # Multiple test classes: base, MLA, TorchCompile, SpecDecode variants
-register_cuda_ci(est_time=200, suite="stage-b-test-1-gpu-large")
+register_cuda_ci(est_time=350, suite="stage-b-test-1-gpu-large")
 
 GSM_DATASET_PATH = None
 

test/registered/cp/test_deepseek_v32_cp_single_node.py

@@ -14,7 +14,7 @@ from sglang.test.test_utils import (
     write_github_step_summary,
 )
 
-register_cuda_ci(est_time=360, suite="stage-c-test-deepep-8-gpu-h200")
+register_cuda_ci(est_time=640, suite="stage-c-test-deepep-8-gpu-h200")
 DEEPSEEK_V32_MODEL_PATH = "deepseek-ai/DeepSeek-V3.2"
 
 

test/registered/disaggregation/test_disaggregation_decode_offload.py

@@ -12,16 +12,18 @@ from sglang.test.server_fixtures.disaggregation_fixture import (
 from sglang.test.test_utils import (
     DEFAULT_MODEL_NAME_FOR_TEST,
     DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
-    is_in_ci,
     popen_launch_pd_server,
 )
 
 # Registering the test for CUDA CI with appropriate parameters
 # Increasing estimated time since we run evaluation twice
-register_cuda_ci(est_time=600, suite="stage-b-test-2-gpu-large")
+register_cuda_ci(
+    est_time=600,
+    suite="stage-b-test-2-gpu-large",
+    disabled="Temporarily disable the flaky test.",
+)
 
 
-@unittest.skipIf(is_in_ci(), "Temporarily disable the flaky test.")
 class TestDisaggregationDecodeOffload(PDDisaggregationServerBase):
     """
     Test class for verifying KV cache offloading on the decode side in a

test/registered/distributed/test_load_weights_from_remote_instance.py

@@ -38,7 +38,7 @@ from sglang.utils import terminate_process
 
 mp.set_start_method("spawn", force=True)
 
-register_cuda_ci(est_time=72, suite="stage-b-test-2-gpu-large")
+register_cuda_ci(est_time=130, suite="stage-b-test-2-gpu-large")
 register_amd_ci(est_time=72, suite="stage-b-test-2-gpu-large-amd")
 
 

test/registered/embedding/test_embedding_models.py

@@ -35,7 +35,7 @@ register_amd_ci(
     suite="stage-b-test-1-gpu-small-amd",
     disabled="see https://github.com/sgl-project/sglang/issues/11127",
 )
-register_cuda_ci(est_time=73, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=200, suite="stage-b-test-1-gpu-small")
 
 MODEL_TO_CONFIG = {
     "Alibaba-NLP/gte-Qwen2-1.5B-instruct": (1, 1e-5),

test/registered/ep/test_mooncake_ep_small.py

@@ -15,7 +15,7 @@ from sglang.test.test_utils import (
     popen_launch_server,
 )
 
-register_cuda_ci(est_time=660, suite="stage-c-test-deepep-4-gpu-h100")
+register_cuda_ci(est_time=200, suite="stage-c-test-deepep-4-gpu-h100")
 
 ib_devices = get_rdma_devices_args()
 

test/registered/eval/test_eval_accuracy_large.py

@@ -16,7 +16,7 @@ from sglang.test.test_utils import (
     popen_launch_server,
 )
 
-register_cuda_ci(est_time=300, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=580, suite="stage-b-test-1-gpu-small")
 register_amd_ci(est_time=420, suite="stage-b-test-1-gpu-small-amd")
 
 

test/registered/function_call/test_kimik2_detector.py

@@ -11,7 +11,7 @@ from sglang.srt.function_call.kimik2_detector import (
 from sglang.srt.parser.reasoning_parser import KimiK2Detector as KimiK2ReasoningDetector
 from sglang.test.ci.ci_register import register_cpu_ci
 
-register_cpu_ci(1.0, "stage-a-test-cpu")
+register_cpu_ci(5, "stage-a-test-cpu")
 
 
 def _make_tool(name, parameters=None):

test/registered/kernels/test_nsa_indexer.py

@@ -24,7 +24,7 @@ from sglang.srt.model_executor.forward_batch_info import ForwardBatch, ForwardMo
 from sglang.srt.server_args import ServerArgs, set_global_server_args_for_scheduler
 from sglang.test.test_utils import CustomTestCase
 
-register_cuda_ci(est_time=2, suite="stage-b-test-1-gpu-large")
+register_cuda_ci(est_time=15, suite="stage-b-test-1-gpu-large")
 
 # Global configuration for all indexer tests
 DEFAULT_CONFIG = {

test/registered/lora/test_fused_moe_lora_kernel.py

@@ -15,7 +15,7 @@ from sglang.test.ci.ci_register import register_cuda_ci
 
 # ==============================================================================
 
-register_cuda_ci(est_time=120, suite="stage-b-test-1-gpu-large")
+register_cuda_ci(est_time=25, suite="stage-b-test-1-gpu-large")
 
 
 def round_up(x, base):

test/registered/lora/test_lora_moe_vllm_sgl_logprob_diff.py

@@ -25,7 +25,7 @@ from sglang.test.lora_utils import (
 from sglang.test.runners import SRTRunner
 
 register_cuda_ci(
-    est_time=25,
+    est_time=50,
     suite="stage-b-test-1-gpu-large",
 )
 

test/registered/lora/test_lora_qwen3_30b_a3b_instruct_2507_logprob_diff.py

@@ -35,7 +35,7 @@ from sglang.test.ci.ci_register import register_cuda_ci
 from sglang.test.test_utils import CustomTestCase
 
 register_cuda_ci(
-    est_time=300,
+    est_time=160,
     suite="stage-c-test-4-gpu-b200",
 )
 

test/registered/lora/test_lora_qwen3_8b_logprob_diff.py

@@ -38,7 +38,7 @@ from sglang.test.ci.ci_register import register_cuda_ci
 from sglang.test.test_utils import CustomTestCase
 
 register_cuda_ci(
-    est_time=200,
+    est_time=40,
     suite="stage-b-test-1-gpu-large",
 )
 

test/registered/lora/test_lora_qwen3_vl_30b_a3b_instruct_logprob_diff.py

@@ -35,7 +35,7 @@ from sglang.test.ci.ci_register import register_cuda_ci
 from sglang.test.test_utils import CustomTestCase
 
 register_cuda_ci(
-    est_time=300,
+    est_time=160,
     suite="stage-c-test-4-gpu-b200",
 )
 

test/registered/lora/test_lora_tp.py

@@ -30,7 +30,7 @@ from sglang.test.lora_utils import (
 from sglang.test.test_utils import CustomTestCase, is_in_ci
 
 register_cuda_ci(
-    est_time=116,
+    est_time=190,
     suite="stage-c-test-8-gpu-h200",
 )
 register_amd_ci(

test/registered/metrics/test_metrics.py

@@ -20,7 +20,7 @@ from sglang.test.test_utils import (
     popen_launch_server,
 )
 
-register_cuda_ci(est_time=32, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=95, suite="stage-b-test-1-gpu-small")
 register_amd_ci(est_time=32, suite="stage-b-test-1-gpu-small-amd")
 
 _MODEL_NAME = "Qwen/Qwen3-0.6B"

test/registered/models/test_kimi_linear_models.py

@@ -11,7 +11,7 @@ from sglang.test.test_utils import (
     popen_launch_server,
 )
 
-register_cuda_ci(est_time=90, suite="stage-b-test-2-gpu-large")
+register_cuda_ci(est_time=180, suite="stage-b-test-2-gpu-large")
 
 
 class TestKimiLinear(CustomTestCase):

test/registered/models/test_nvidia_nemotron_3_nano.py

@@ -4,7 +4,7 @@ from sglang.test.ci.ci_register import register_cuda_ci
 from sglang.test.kits.lm_eval_kit import LMEvalMixin
 from sglang.test.server_fixtures.default_fixture import DefaultServerBase
 
-register_cuda_ci(est_time=180, suite="stage-b-test-2-gpu-large")
+register_cuda_ci(est_time=660, suite="stage-b-test-2-gpu-large")
 
 NEMOTRON_3_NANO_THINKING_ARGS = [
     "--trust-remote-code",

test/registered/models/test_nvidia_nemotron_nano_v2.py

@@ -5,7 +5,7 @@ from sglang.test.ci.ci_register import register_cuda_ci
 from sglang.test.kits.eval_accuracy_kit import GSM8KMixin
 from sglang.test.server_fixtures.default_fixture import DefaultServerBase
 
-register_cuda_ci(est_time=132, suite="stage-b-test-2-gpu-large")
+register_cuda_ci(est_time=240, suite="stage-b-test-2-gpu-large")
 
 
 class TestNvidiaNemotronNanoV2BF16(GSM8KMixin, DefaultServerBase):

test/registered/models/test_transformers_models.py

@@ -21,7 +21,7 @@ from sglang.test.test_utils import (
     popen_launch_server,
 )
 
-register_cuda_ci(est_time=245, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=450, suite="stage-b-test-1-gpu-small")
 register_amd_ci(est_time=320, suite="stage-b-test-1-gpu-small-amd")
 
 

test/registered/moe/test_cutedsl_moe.py

@@ -12,7 +12,7 @@ from sglang.srt.layers.moe.flashinfer_cutedsl_moe import flashinfer_cutedsl_moe_
 from sglang.srt.layers.moe.topk import TopKConfig, select_experts
 from sglang.test.ci.ci_register import register_cuda_ci
 
-register_cuda_ci(est_time=300, suite="stage-c-test-4-gpu-b200")
+register_cuda_ci(est_time=20, suite="stage-c-test-4-gpu-b200")
 
 SKIP_TEST = torch.cuda.get_device_capability() < (10, 0)
 SKIP_REASON = "Nvfp4 Requires compute capability of 10 or above."

test/registered/moe/test_moe_ep.py

@@ -12,7 +12,7 @@ from sglang.test.test_utils import (
     popen_launch_server,
 )
 
-register_cuda_ci(est_time=140, suite="stage-b-test-2-gpu-large")
+register_cuda_ci(est_time=250, suite="stage-b-test-2-gpu-large")
 
 
 class TestEp(CustomTestCase):

test/registered/moe/test_triton_fused_moe.py

@@ -12,7 +12,7 @@ from sglang.srt.server_args import ServerArgs, set_global_server_args_for_schedu
 from sglang.test.ci.ci_register import register_cuda_ci
 from sglang.test.test_utils import CustomTestCase
 
-register_cuda_ci(est_time=89, suite="stage-b-test-1-gpu-large")
+register_cuda_ci(est_time=30, suite="stage-b-test-1-gpu-large")
 
 
 class TestFusedMOE(CustomTestCase):

test/registered/openai_server/features/test_openai_server_ebnf.py

@@ -13,7 +13,7 @@ from sglang.test.test_utils import (
     popen_launch_server,
 )
 
-register_cuda_ci(est_time=7, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=55, suite="stage-b-test-1-gpu-small")
 register_amd_ci(est_time=20, suite="stage-b-test-1-gpu-small-amd")
 
 

test/registered/openai_server/function_call/test_tool_choice.py

@@ -22,7 +22,7 @@ from sglang.test.test_utils import (
     popen_launch_server,
 )
 
-register_cuda_ci(est_time=120, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=250, suite="stage-b-test-1-gpu-small")
 register_amd_ci(est_time=258, suite="stage-b-test-1-gpu-small-amd")
 
 

test/registered/openai_server/validation/test_openai_server_ignore_eos.py

@@ -11,7 +11,7 @@ from sglang.test.test_utils import (
     popen_launch_server,
 )
 
-register_cuda_ci(est_time=6, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=55, suite="stage-b-test-1-gpu-small")
 register_amd_ci(est_time=47, suite="stage-b-test-1-gpu-small-amd")
 
 

test/registered/quant/test_fp8_kernel.py

@@ -9,7 +9,7 @@ from sglang.srt.layers.quantization.fp8_kernel import (
 from sglang.test.ci.ci_register import register_cuda_ci
 from sglang.test.test_utils import CustomTestCase
 
-register_cuda_ci(est_time=132, suite="stage-b-test-1-gpu-large")
+register_cuda_ci(est_time=15, suite="stage-b-test-1-gpu-large")
 
 
 class TestFP8Base(CustomTestCase):

test/registered/quant/test_fp8kv_triton.py

@@ -12,7 +12,7 @@ from sglang.test.test_utils import (
     popen_launch_server,
 )
 
-register_cuda_ci(est_time=520, suite="stage-b-test-1-gpu-large")
+register_cuda_ci(est_time=80, suite="stage-b-test-1-gpu-large")
 
 
 class TestFP8KVCacheTritonBackend(CustomTestCase):

test/registered/quant/test_int8_kernel.py

@@ -11,7 +11,7 @@ from sglang.srt.server_args import ServerArgs, set_global_server_args_for_schedu
 from sglang.test.ci.ci_register import register_cuda_ci
 from sglang.test.test_utils import CustomTestCase
 
-register_cuda_ci(est_time=8, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=16, suite="stage-b-test-1-gpu-small")
 
 
 def native_w8a8_per_token_matmul(A, B, As, Bs, output_dtype=torch.float16):

test/registered/quant/test_quant_config_parsing.py

@@ -5,7 +5,7 @@ from sglang.srt.configs.model_config import ModelConfig
 from sglang.test.ci.ci_register import register_cpu_ci
 from sglang.test.test_utils import CustomTestCase
 
-register_cpu_ci(est_time=5, suite="stage-a-test-cpu")
+register_cpu_ci(est_time=20, suite="stage-a-test-cpu")
 
 
 class TestQuantLogString(CustomTestCase):

test/registered/quant/test_quantization.py

@@ -16,7 +16,7 @@ from sglang.test.test_utils import (
     write_results_to_json,
 )
 
-register_cuda_ci(est_time=185, suite="stage-b-test-1-gpu-large")
+register_cuda_ci(est_time=370, suite="stage-b-test-1-gpu-large")
 
 MODEL_SCORE_THRESHOLDS = {
     "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4": 0.825,

test/registered/quant/test_torchao.py

@@ -5,7 +5,7 @@ import requests
 from sglang import Engine
 from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
 
-register_cuda_ci(est_time=103, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=200, suite="stage-b-test-1-gpu-small")
 register_amd_ci(est_time=230, suite="stage-b-test-1-gpu-small-amd")
 from sglang.lang.chat_template import get_chat_template_by_model_path
 from sglang.srt.utils import kill_process_tree

test/registered/sampling/test_pytorch_sampling_backend.py

@@ -14,7 +14,7 @@ from sglang.test.test_utils import (
     popen_launch_server,
 )
 
-register_cuda_ci(est_time=66, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=150, suite="stage-b-test-1-gpu-small")
 register_amd_ci(est_time=66, suite="stage-b-test-1-gpu-small-amd")
 
 

test/registered/scheduler/test_abort.py

@@ -19,7 +19,7 @@ from sglang.test.test_utils import (
     run_and_check_memory_leak,
 )
 
-register_cuda_ci(est_time=131, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=350, suite="stage-b-test-1-gpu-small")
 register_amd_ci(est_time=300, suite="stage-b-test-1-gpu-small-amd")
 
 

test/registered/scheduler/test_chunked_prefill.py

@@ -7,7 +7,7 @@ import unittest
 from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
 from sglang.test.test_utils import CustomTestCase, run_mmlu_test, run_mulit_request_test
 
-register_cuda_ci(est_time=312, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=550, suite="stage-b-test-1-gpu-small")
 register_amd_ci(est_time=312, suite="stage-b-test-1-gpu-small-amd")
 
 

test/registered/scheduler/test_retract_decode.py

@@ -17,7 +17,7 @@ from sglang.test.test_utils import (
 )
 from sglang.utils import is_in_ci
 
-register_cuda_ci(est_time=311, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=550, suite="stage-b-test-1-gpu-small")
 register_amd_ci(est_time=600, suite="stage-b-test-1-gpu-small-amd")
 
 

test/registered/spec/eagle/test_eagle3_basic.py

@@ -12,7 +12,7 @@ from sglang.test.test_utils import (
     DEFAULT_TARGET_MODEL_EAGLE3,
 )
 
-register_cuda_ci(est_time=50, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=200, suite="stage-b-test-1-gpu-small")
 register_amd_ci(est_time=50, suite="stage-b-test-1-gpu-small")
 
 _is_hip = is_hip()

test/registered/spec/eagle/test_eagle_infer_a.py

@@ -12,7 +12,7 @@ from sglang.test.test_utils import (
     CustomTestCase,
 )
 
-register_cuda_ci(est_time=250, suite="stage-b-test-1-gpu-large")
+register_cuda_ci(est_time=450, suite="stage-b-test-1-gpu-large")
 
 
 class TestEAGLEEngine(CustomTestCase):

test/registered/spec/eagle/test_eagle_infer_beta_dp_attention.py

@@ -17,7 +17,7 @@ from sglang.test.test_utils import (
 )
 
 # EAGLE with DP attention on B200 (tp=2, dp=2, requires 4 B200 GPUs)
-register_cuda_ci(est_time=300, suite="stage-c-test-4-gpu-b200")
+register_cuda_ci(est_time=100, suite="stage-c-test-4-gpu-b200")
 
 
 def test_gsm8k(base_url: str, model: str):

test/registered/spec/utils/test_build_eagle_tree.py

@@ -9,7 +9,7 @@ from sglang.srt.speculative.eagle_utils import (
 from sglang.srt.utils import get_device
 from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
 
-register_cuda_ci(est_time=3, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=6, suite="stage-b-test-1-gpu-small")
 register_amd_ci(est_time=3, suite="stage-b-test-1-gpu-small-amd")
 
 

test/registered/spec/utils/test_ngram_corpus.py

@@ -6,7 +6,7 @@ from sglang.srt.speculative.cpp_ngram.ngram_corpus import NgramCorpus
 from sglang.test.ci.ci_register import register_cuda_ci
 from sglang.test.test_utils import CustomTestCase
 
-register_cuda_ci(est_time=30, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=8, suite="stage-b-test-1-gpu-small")
 
 
 def _make_corpus(match_type="BFS", **kwargs):

test/registered/unit/function_call/test_function_call_parser.py

@@ -18,7 +18,7 @@ from sglang.srt.function_call.pythonic_detector import PythonicDetector
 from sglang.srt.function_call.qwen3_coder_detector import Qwen3CoderDetector
 from sglang.test.ci.ci_register import register_cpu_ci
 
-register_cpu_ci(1.0, "stage-a-test-cpu")
+register_cpu_ci(15, "stage-a-test-cpu")
 
 
 class TestPythonicDetector(unittest.TestCase):

test/registered/unit/function_call/test_glm47_moe_detector.py

@@ -10,7 +10,7 @@ from sglang.srt.function_call.glm47_moe_detector import (
 )
 from sglang.test.ci.ci_register import register_cpu_ci
 
-register_cpu_ci(1.0, "stage-a-test-cpu")
+register_cpu_ci(5, "stage-a-test-cpu")
 
 
 class TestGlm47MoeDetector(unittest.TestCase):

test/registered/unit/function_call/test_json_schema_constraint.py

@@ -18,7 +18,7 @@ from sglang.srt.function_call.utils import (
 )
 from sglang.test.ci.ci_register import register_cpu_ci
 
-register_cpu_ci(1.0, "stage-a-test-cpu")
+register_cpu_ci(5, "stage-a-test-cpu")
 
 
 class TestJsonSchemaConstraint(unittest.TestCase):

test/registered/unit/function_call/test_parallel_tool_calls.py

@@ -23,7 +23,7 @@ from sglang.srt.entrypoints.openai.protocol import Function, Tool
 from sglang.srt.function_call.json_array_parser import JsonArrayParser
 from sglang.test.ci.ci_register import register_cpu_ci
 
-register_cpu_ci(1.0, "stage-a-test-cpu")
+register_cpu_ci(5, "stage-a-test-cpu")
 
 
 class TestParallelToolCalls(unittest.TestCase):

test/registered/unit/function_call/test_unknown_tool_name.py

@@ -9,7 +9,7 @@ from sglang.srt.function_call.base_format_detector import BaseFormatDetector
 from sglang.srt.function_call.core_types import StreamingParseResult
 from sglang.test.ci.ci_register import register_cpu_ci
 
-register_cpu_ci(1.0, "stage-a-test-cpu")
+register_cpu_ci(5, "stage-a-test-cpu")
 
 
 class DummyDetector(BaseFormatDetector):

test/registered/unit/managers/test_prefill_adder.py

@@ -12,7 +12,7 @@ from sglang.srt.server_args import ServerArgs, set_global_server_args_for_schedu
 from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
 from sglang.test.test_utils import CustomTestCase
 
-register_cuda_ci(est_time=1, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=8, suite="stage-b-test-1-gpu-small")
 register_amd_ci(est_time=2, suite="stage-b-test-1-gpu-small-amd")
 
 

test/registered/unit/mem_cache/test_evict_policy.py

@@ -2,7 +2,7 @@
 
 from sglang.test.ci.ci_register import register_cpu_ci
 
-register_cpu_ci(est_time=5, suite="stage-a-test-cpu")
+register_cpu_ci(est_time=2, suite="stage-a-test-cpu")
 
 import unittest
 from unittest.mock import MagicMock

test/registered/unit/mem_cache/test_nsa_pool_host_unit.py

@@ -11,7 +11,7 @@ from sglang.srt.mem_cache.memory_pool_host import (
 from sglang.srt.utils import is_cuda, is_hip, is_npu, is_xpu
 from sglang.test.ci.ci_register import register_cuda_ci
 
-register_cuda_ci(est_time=3, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=10, suite="stage-b-test-1-gpu-small")
 
 
 class TestNSAHiCacheTransfer(unittest.TestCase):

test/registered/unit/mem_cache/test_radix_cache_unit.py

@@ -21,7 +21,7 @@ from sglang.srt.mem_cache.common import available_and_evictable_str
 from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
 
 # CPU-based unit test, runs quickly on any GPU runner
-register_cuda_ci(est_time=5, suite="stage-b-test-1-gpu-small")
+register_cuda_ci(est_time=20, suite="stage-b-test-1-gpu-small")
 register_amd_ci(est_time=5, suite="stage-b-test-1-gpu-small-amd")
 
 import random

test/registered/unit/server_args/test_server_args.py

@@ -10,7 +10,7 @@ from sglang.test.test_utils import (
     CustomTestCase,
 )
 
-register_cpu_ci(est_time=1, suite="stage-a-test-cpu")
+register_cpu_ci(est_time=10, suite="stage-a-test-cpu")
 
 # Mock get_device() so all tests run on CPU-only CI runners
 _mock_device = patch("sglang.srt.server_args.get_device", return_value="cuda")

test/registered/unit/utils/test_json_response.py

@@ -10,7 +10,7 @@ from sglang.srt.utils.json_response import (
 )
 from sglang.test.ci.ci_register import register_cpu_ci
 
-register_cpu_ci(est_time=2, suite="stage-a-test-cpu")
+register_cpu_ci(est_time=5, suite="stage-a-test-cpu")
 
 
 class TestJSONResponseUtils(unittest.TestCase):

test/registered/utils/test_log_utils.py

@@ -9,7 +9,7 @@ from pathlib import Path
 from sglang.srt.utils.log_utils import create_log_targets, log_json
 from sglang.test.ci.ci_register import register_cpu_ci
 
-register_cpu_ci(est_time=1, suite="stage-a-test-cpu")
+register_cpu_ci(est_time=4, suite="stage-a-test-cpu")
 
 
 class TestLogUtils(unittest.TestCase):

test/registered/utils/test_network_address.py

@@ -6,7 +6,7 @@ from sglang.srt.server_args import PortArgs, ServerArgs
 from sglang.srt.utils.network import NetworkAddress
 from sglang.test.ci.ci_register import register_cpu_ci
 
-register_cpu_ci(est_time=1, suite="stage-a-test-cpu")
+register_cpu_ci(est_time=7, suite="stage-a-test-cpu")
 
 # Mock get_device() so ServerArgs tests run on CPU-only CI runners
 _mock_device = patch("sglang.srt.server_args.get_device", return_value="cuda")

test/registered/utils/test_socket_utils.py

@@ -15,7 +15,7 @@ from sglang.test.ci.ci_register import register_cpu_ci
 from sglang.test.test_utils import CustomTestCase
 from sglang.utils import normalize_base_url, release_port, reserve_port
 
-register_cpu_ci(est_time=1, suite="stage-a-test-cpu")
+register_cpu_ci(est_time=7, suite="stage-a-test-cpu")
 
 
 class TestTryBindSocket(CustomTestCase):

test/registered/vlm/test_patch_embed_perf.py

@@ -8,7 +8,7 @@ import torch.nn as nn
 from sglang.srt.models.glm4v import Glm4vVisionPatchEmbed
 from sglang.test.ci.ci_register import register_cuda_ci
 
-register_cuda_ci(est_time=120, suite="stage-b-test-1-gpu-large")
+register_cuda_ci(est_time=12, suite="stage-b-test-1-gpu-large")
 
 PATCH_SIZE = 14
 TEMPORAL_PATCH_SIZE = 2