neuralmagic
diff --git a/‎tests/v1/kv_connector/__init__.py b/‎tests/v1/kv_connector/__init__.py
diff --git a/‎tests/v1/kv_connector/run_accuracy_test.sh
+45 b/‎tests/v1/kv_connector/run_accuracy_test.sh
+45
diff --git a/‎tests/v1/kv_connector/test_accuracy.py
+28 b/‎tests/v1/kv_connector/test_accuracy.py
+28
diff --git a/‎tests/v1/kv_connector/test_nixl_connector.py
+39 b/‎tests/v1/kv_connector/test_nixl_connector.py
+39
diff --git a/‎tests/v1/kv_connector/test_remote_decode_lifecycle.py
+92 b/‎tests/v1/kv_connector/test_remote_decode_lifecycle.py
+92
@@ -0,0 +1,45 @@
+#!/bin/bash
+
+set -xe
+
+# Model to run.
+MODEL_NAME=Qwen/Qwen3-0.6B
+
+# Find the git repository root directory
+GIT_ROOT=$(git rev-parse --show-toplevel)
+
+# Trap the SIGINT signal (triggered by Ctrl+C)
+trap 'kill $(jobs -pr)' SIGINT SIGTERM EXIT
+
+# Waits for vLLM to start.
+wait_for_server() {
+  local port=$1
+  timeout 1200 bash -c "
+    until curl -s localhost:${port}/v1/completions > /dev/null; do
+      sleep 1
+    done" && return 0 || return 1
+}
+
+# Prefill instance.
+CUDA_VISIBLE_DEVICES=0 NIXL_ROLE="SENDER" vllm serve $MODEL_NAME \
+    --port 8100 \
+    --enforce-eager \
+    --disable-log-requests \
+    --kv-transfer-config '{"kv_connector":"NixlConnector","kv_role":"kv_both"}' &
+
+# Decode instance.
+CUDA_VISIBLE_DEVICES=1 NIXL_ROLE="RECVER" vllm serve $MODEL_NAME \
+    --port 8200 \
+    --enforce-eager \
+    --disable-log-requests \
+    --kv-transfer-config '{"kv_connector":"NixlConnector","kv_role":"kv_both"}' &
+
+# wait until prefill and decode instances are ready
+wait_for_server 8100
+wait_for_server 8200
+
+# Proxy server.
+python ${GIT_ROOT}/tests/v1/kv_connector/toy_proxy_server.py --port 8192 &
+
+# Run lm eval.
+python -m pytest -s -x ${GIT_ROOT}/tests/v1/kv_connector/test_accuracy.py
@@ -0,0 +1,28 @@
+# SPDX-License-Identifier: Apache-2.0
+import lm_eval
+
+MODEL_NAME = "Qwen/Qwen3-0.6B"
+NUM_CONCURRENT = 100
+TASK = "gsm8k"
+FILTER = "exact_match,strict-match"
+RTOL = 0.03
+EXPECTED_VALUE = 0.41
+
+
+def test_accuracy():
+    """Run the end to end accuracy test."""
+
+    model_args = (f"model={MODEL_NAME},"
+                  f"base_url=http://localhost:8192/v1/completions,"
+                  f"num_concurrent={NUM_CONCURRENT},tokenized_requests=False")
+
+    results = lm_eval.simple_evaluate(
+        model="local-completions",
+        model_args=model_args,
+        tasks=TASK,
+    )
+
+    measured_value = results["results"][TASK][FILTER]
+    assert (measured_value - RTOL < EXPECTED_VALUE
+            and measured_value + RTOL > EXPECTED_VALUE
+            ), f"Expected: {EXPECTED_VALUE} |  Measured: {measured_value}"
@@ -0,0 +1,39 @@
+# SPDX-License-Identifier: Apache-2.0
+
+from vllm.distributed.kv_transfer.kv_connector.v1.nixl_connector import (
+    NixlConnectorMetadata)
+
+from .utils import create_request, create_scheduler, create_vllm_config
+
+
+def test_scheduler_worker_inferface():
+
+    vllm_config = create_vllm_config()
+    scheduler = create_scheduler(vllm_config)
+
+    # 2 Full Blocks and 1 Half Block.
+    BLOCK_SIZE = vllm_config.cache_config.block_size
+    NUM_EXTERNAL_FULL_BLOCKS = 2
+    NUM_TOKENS = int(BLOCK_SIZE * (NUM_EXTERNAL_FULL_BLOCKS + 0.5))
+
+    request = create_request(request_id=1,
+                             num_tokens=NUM_TOKENS,
+                             do_remote_prefill=True)
+    request_id = request.request_id
+
+    scheduler.add_request(request)
+
+    # Remote Prefill, triggers NixlConnectorMetdata.
+    scheduler_output = scheduler.schedule()
+    kv_connector_metadata = scheduler_output.kv_connector_metadata
+    assert kv_connector_metadata is not None
+    assert isinstance(kv_connector_metadata, NixlConnectorMetadata)
+
+    assert len(kv_connector_metadata.requests) == 1
+    assert request_id in kv_connector_metadata.requests
+    req_meta = kv_connector_metadata.requests[request_id]
+
+    for block_id, block in zip(
+            req_meta.local_block_ids,
+            scheduler.kv_cache_manager.req_to_blocks[request_id]):
+        assert block_id == block.block_id
@@ -0,0 +1,92 @@
+# SPDX-License-Identifier: Apache-2.0
+import copy
+
+from vllm.v1.outputs import EMPTY_MODEL_RUNNER_OUTPUT
+from vllm.v1.request import FinishReason, RequestStatus
+
+from .utils import (assert_scheduler_empty, create_model_runner_output,
+                    create_request, create_scheduler, create_vllm_config)
+
+
+def test_basic_lifecycle():
+    """Test lifecycle of a Remote Decode request."""
+
+    vllm_config = create_vllm_config()
+    scheduler = create_scheduler(vllm_config)
+
+    # 2 Full Blocks and 1 Half Block.
+    BLOCK_SIZE = vllm_config.cache_config.block_size
+    NUM_EXTERNAL_FULL_BLOCKS = 2
+    NUM_TOKENS = int(BLOCK_SIZE * (NUM_EXTERNAL_FULL_BLOCKS + 0.5))
+
+    request = create_request(request_id=1,
+                             num_tokens=NUM_TOKENS,
+                             do_remote_decode=True)
+
+    scheduler.add_request(request)
+    request_id = request.request_id
+
+    # STEP (1): Prefill.
+    # (1a): schedule()
+    scheduler_output = scheduler.schedule()
+    assert len(scheduler.running) == 1
+    assert len(scheduler_output.scheduled_new_reqs) == 1
+
+    # (1b): execute_model()
+    model_runner_output = create_model_runner_output(reqs=[request])
+
+    # (1c): update_from_output()
+    engine_core_outputs = scheduler.update_from_output(scheduler_output,
+                                                       model_runner_output)
+
+    # Ensure the request is finished after 1 tokens.
+    assert request.is_finished()
+    assert request.status == RequestStatus.FINISHED_REMOTE_DECODE
+    output = engine_core_outputs.outputs[0]
+    assert output.finish_reason == FinishReason.REMOTE_DECODE
+    assert output.kv_transfer_params is not None
+
+    # Request freed in Scheduler and in Persistent Batch ...
+    assert request_id in scheduler.finished_req_ids
+    assert len(scheduler.running) == 0
+    assert len(scheduler.waiting) == 0
+
+    # ... but blocks should not be freed.
+    blocks = scheduler.kv_cache_manager.req_to_blocks[request_id]
+    for block in blocks:
+        assert block.ref_cnt == 1
+
+    # STEP (2): Send Finished to PB.
+    # (2a): schedule() - pass finished request to PB.
+    scheduler_output = scheduler.schedule()
+    assert len(scheduler.running) == 0
+    assert len(scheduler_output.finished_req_ids) == 1
+    assert request_id in scheduler_output.finished_req_ids
+    assert len(scheduler_output.scheduled_new_reqs) == 0
+    assert len(scheduler_output.scheduled_cached_reqs) == 0
+    assert len(scheduler.finished_req_ids) == 0
+
+    # (2b): execute_model()
+    model_runner_output = EMPTY_MODEL_RUNNER_OUTPUT
+
+    # (2c): update_from_output()
+    scheduler.update_from_output(scheduler_output, model_runner_output)
+
+    # STEP (3): Finished sending.
+    # (3a): schedule() - pass finished request to PB.
+    scheduler_output = scheduler.schedule()
+    assert len(scheduler.running) == 0
+    assert len(scheduler_output.finished_req_ids) == 0
+    assert len(scheduler_output.scheduled_new_reqs) == 0
+    assert len(scheduler_output.scheduled_cached_reqs) == 0
+    assert len(scheduler.finished_req_ids) == 0
+
+    # (3b): execute_model()
+    model_runner_output = copy.deepcopy(EMPTY_MODEL_RUNNER_OUTPUT)
+    model_runner_output.finished_sending = [request_id]
+
+    # (3c): update_from_output()
+    scheduler.update_from_output(scheduler_output, model_runner_output)
+
+    # Confirm we do not have any memory leaks after req lifecycle.
+    assert_scheduler_empty(scheduler)