|
| 1 | +""" |
| 2 | +Test Single-Node Precise Prefix Caching. |
| 3 | +
|
| 4 | +This test verifies that the LLM-D router correctly routes inference requests |
| 5 | +based on precise KV cache tracking, maximizing prefix cache hits using the |
| 6 | +cache_tracking mode. |
| 7 | +
|
| 8 | +Test configuration: |
| 9 | +- LLMInferenceService with 2 replicas and router enabled |
| 10 | +- Authentication enabled |
| 11 | +- Precise prefix cache mode with KV block index tracking |
| 12 | +- HuggingFace model storage (TinyLlama) |
| 13 | +- Verify router pod and vLLM pods are running |
| 14 | +- Send multiple requests with shared prefixes and size greater than PREFIX_CACHE_BLOCK_SIZE |
| 15 | +- Validate prefix cache metrics |
| 16 | +""" |
| 17 | + |
| 18 | +import pytest |
| 19 | +from kubernetes.dynamic import DynamicClient |
| 20 | +from ocp_resources.gateway import Gateway |
| 21 | +from ocp_resources.llm_inference_service import LLMInferenceService |
| 22 | +from ocp_resources.prometheus import Prometheus |
| 23 | + |
| 24 | +from tests.model_serving.model_server.llmd.utils import ( |
| 25 | + get_llmd_router_scheduler_pod, |
| 26 | + get_llmd_workload_pods, |
| 27 | + send_prefix_cache_test_requests, |
| 28 | + verify_precise_prefix_cache, |
| 29 | + verify_gateway_status, |
| 30 | + verify_llm_service_status, |
| 31 | +) |
| 32 | + |
| 33 | +# Number of requests to send for prefix cache testing |
| 34 | +NUM_REQUESTS = 20 |
| 35 | + |
| 36 | +pytestmark = [pytest.mark.llmd_gpu] |
| 37 | + |
| 38 | + |
| 39 | +@pytest.mark.parametrize( |
| 40 | + "unprivileged_model_namespace, authenticated_llmisvc_token", |
| 41 | + [ |
| 42 | + pytest.param( |
| 43 | + {"name": "llmd-test-singlenode-precise-prefix-cache"}, |
| 44 | + { |
| 45 | + "service_account_fixture": "llmd_s3_service_account", |
| 46 | + "llmisvc_fixture": "singlenode_precise_prefix_cache", |
| 47 | + }, |
| 48 | + ) |
| 49 | + ], |
| 50 | + indirect=True, |
| 51 | +) |
| 52 | +@pytest.mark.usefixtures("valid_aws_config", "user_workload_monitoring_config_map") |
| 53 | +class TestSingleNodePrecisePrefixCache: |
| 54 | + """Test class for singlenode precise prefix cache routing.""" |
| 55 | + |
| 56 | + # @pytest.mark.skip(reason="Test currently failing - under investigation for precise prefix cache routing issues") |
| 57 | + def test_singlenode_precise_prefix_cache( |
| 58 | + self, |
| 59 | + unprivileged_client: DynamicClient, |
| 60 | + llmd_gateway: Gateway, |
| 61 | + singlenode_precise_prefix_cache: LLMInferenceService, |
| 62 | + authenticated_llmisvc_token: str, |
| 63 | + gpu_count_on_cluster: int, |
| 64 | + prometheus: Prometheus, |
| 65 | + ): |
| 66 | + """ |
| 67 | + Test single-node precise prefix cache routing with KV block index tracking. |
| 68 | +
|
| 69 | + This test validates: |
| 70 | + 1. Scheduler deployment succeeds with precise mode configuration |
| 71 | + 2. KV-cache routing correctly enabled for precise mode |
| 72 | + 3. Requests with shared prefixes properly reuse cached responses |
| 73 | + 4. KV block index metrics are exposed and show cache activity |
| 74 | + 5. No redundant computation for repeated prefixes |
| 75 | +
|
| 76 | + TODO: Fix precise prefix cache test - currently skipped due to bugs. |
| 77 | + """ |
| 78 | + if gpu_count_on_cluster < 2: |
| 79 | + pytest.skip(f"Test requires at least 2 GPUs (found {gpu_count_on_cluster})") |
| 80 | + |
| 81 | + # Verify infrastructure is ready before testing routing |
| 82 | + assert verify_gateway_status(llmd_gateway), "Gateway should be ready" |
| 83 | + assert verify_llm_service_status(singlenode_precise_prefix_cache), "LLMInferenceService should be ready" |
| 84 | + |
| 85 | + router_scheduler_pod = get_llmd_router_scheduler_pod( |
| 86 | + client=unprivileged_client, llmisvc=singlenode_precise_prefix_cache |
| 87 | + ) |
| 88 | + assert router_scheduler_pod is not None, "Router-scheduler pod should exist" |
| 89 | + assert router_scheduler_pod.instance.status.phase == "Running", "Router-scheduler pod should be running" |
| 90 | + |
| 91 | + workload_pods = get_llmd_workload_pods(client=unprivileged_client, llmisvc=singlenode_precise_prefix_cache) |
| 92 | + assert len(workload_pods) == 2, f"Expected 2 workload pods, found {len(workload_pods)}" |
| 93 | + |
| 94 | + import pdb |
| 95 | + |
| 96 | + pdb.set_trace() |
| 97 | + # send_prefix_cache_test_requests(llmisvc=singlenode_precise_prefix_cache,token=authenticated_llmisvc_token,num_requests=3) |
| 98 | + |
| 99 | + # Send N identical requests to test prefix cache |
| 100 | + num_successful_requests = send_prefix_cache_test_requests( |
| 101 | + llmisvc=singlenode_precise_prefix_cache, |
| 102 | + token=authenticated_llmisvc_token, |
| 103 | + num_requests=NUM_REQUESTS, |
| 104 | + ) |
| 105 | + |
| 106 | + # Verify precise prefix cache routing |
| 107 | + verify_precise_prefix_cache( |
| 108 | + prometheus=prometheus, |
| 109 | + llmisvc=singlenode_precise_prefix_cache, |
| 110 | + workload_pods=workload_pods, |
| 111 | + router_scheduler_pod=router_scheduler_pod, |
| 112 | + expected_requests=num_successful_requests, |
| 113 | + ) |
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