# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0

import asyncio
import json
import logging
import os
import random
import string
import time
from typing import TYPE_CHECKING, Any, Optional

import aiohttp
import nats

from dynamo._internal import start_kv_block_indexer
from dynamo.llm import KvRouter, KvRouterConfig
from dynamo.runtime import DistributedRuntime
from tests.utils.managed_process import ManagedProcess

if TYPE_CHECKING:
    from tests.conftest import NatsServer

logger = logging.getLogger(__name__)

NUM_REQUESTS = 100
BLOCK_SIZE = 16


def _nats_server() -> str:
    # Prefer dynamically-started NATS from per-test fixtures when present.
    return os.environ.get("NATS_SERVER", "nats://localhost:4222")


########################################################
# Helper Classes
########################################################


class KVRouterProcess(ManagedProcess):
    """Manages the KV router process using dynamo.frontend"""

    def __init__(
        self,
        request,
        block_size: int,
        frontend_port: int,
        namespace: str,
        store_backend: str = "etcd",
        decode_fallback: bool = False,
        blocks_threshold: float | None = None,
        tokens_threshold: float | None = None,
        tokens_threshold_frac: float | None = None,
        request_plane: str = "nats",
        durable_kv_events: bool = False,
    ):
        command = [
            "python3",
            "-m",
            "dynamo.frontend",
            "--kv-cache-block-size",
            str(block_size),
            "--router-mode",
            "kv",
            "--http-port",
            str(frontend_port),
            "--discovery-backend",
            store_backend,
            "--namespace",
            namespace,
        ]

        if decode_fallback:
            command.append("--decode-fallback")

        if blocks_threshold is not None:
            command.extend(["--active-decode-blocks-threshold", str(blocks_threshold)])

        if tokens_threshold is not None:
            command.extend(["--active-prefill-tokens-threshold", str(tokens_threshold)])

        if tokens_threshold_frac is not None:
            command.extend(
                ["--active-prefill-tokens-threshold-frac", str(tokens_threshold_frac)]
            )

        if durable_kv_events:
            command.append("--router-durable-kv-events")

        env = os.environ.copy()
        env["DYN_REQUEST_PLANE"] = request_plane

        super().__init__(
            command=command,
            env=env,
            timeout=60,
            display_output=True,
            health_check_ports=[frontend_port],
            health_check_urls=[
                (f"http://localhost:{frontend_port}/v1/models", self._check_ready)
            ],
            log_dir=request.node.name,
            terminate_all_matching_process_names=False,
        )
        self.port = frontend_port

    def _check_ready(self, response):
        """Check if KV router is ready"""
        return response.status_code == 200

    def __exit__(self, exc_type, exc_val, exc_tb):
        super().__exit__(exc_type, exc_val, exc_tb)


def generate_random_suffix() -> str:
    """Generate a 10-character random alphabetic suffix for namespace isolation."""
    return "".join(random.choices(string.ascii_lowercase, k=10))  # noqa: S311


def assert_event_dumps_equal(
    expected: list[dict],
    actual: list[dict],
    expected_label: str,
    actual_label: str,
) -> None:
    """Assert two sorted event dump lists are equal, ignoring event_id fields."""
    assert len(expected) == len(actual), (
        f"{expected_label} has {len(expected)} events, "
        f"{actual_label} has {len(actual)} events"
    )

    differences = []
    for i, (exp_item, act_item) in enumerate(zip(expected, actual)):
        exp_compare = exp_item.copy()
        act_compare = act_item.copy()
        if "event" in exp_compare and "event_id" in exp_compare["event"]:
            del exp_compare["event"]["event_id"]
        if "event" in act_compare and "event_id" in act_compare["event"]:
            del act_compare["event"]["event_id"]
        if exp_compare != act_compare:
            differences.append(
                {"index": i, expected_label: exp_item, actual_label: act_item}
            )

    if differences:
        error_msg = (
            f"{expected_label} and {actual_label} differ. "
            f"Found {len(differences)} differences:\n"
        )
        for diff in differences:
            error_msg += f"\nDifference at index {diff['index']}:\n"
            error_msg += (
                f"{expected_label}: {json.dumps(diff[expected_label], indent=2)}\n"
            )
            error_msg += f"{actual_label}: {json.dumps(diff[actual_label], indent=2)}\n"
            error_msg += "-" * 80 + "\n"
        assert False, error_msg


def verify_response_worker_ids(
    response_worker_ids: list[dict[str, Optional[int]]],
    key: str,
    expected_worker_id: int,
) -> None:
    """Verify that all responses have the same worker ID for a given key.

    Args:
        response_worker_ids: List of dicts with worker ID info from responses.
        key: The key to check (e.g., "decode_worker_id" or "prefill_worker_id").
        expected_worker_id: The expected worker ID value.

    Raises:
        AssertionError: If any response is missing the key, values differ, or don't match expected.
    """
    worker_ids = [r.get(key) for r in response_worker_ids]
    logger.info(f"Response {key}s: {worker_ids}")

    # All responses should have the key
    assert all(
        wid is not None for wid in worker_ids
    ), f"Expected all {len(response_worker_ids)} responses to have {key}, got: {worker_ids}"

    # All values should be the same (due to prefix reuse routing)
    unique_ids = set(worker_ids)
    assert len(unique_ids) == 1, (
        f"Expected all responses to have the same {key} (due to prefix reuse), "
        f"but found {len(unique_ids)} unique values: {unique_ids}"
    )

    # The value should match the expected worker ID
    actual_worker_id = worker_ids[0]
    assert actual_worker_id == expected_worker_id, (
        f"Expected {key}={expected_worker_id} (forced in first request), "
        f"but got {key}={actual_worker_id}"
    )
    logger.info(
        f"✓ Verified all {len(response_worker_ids)} responses have {key}={actual_worker_id}"
    )


def verify_response_timing(timing_info: dict[str, Any]) -> None:
    """Verify timing info has valid values (ttft_ms > 0, total_time_ms > 0)."""
    ttft_ms = timing_info.get("ttft_ms")
    total_time_ms = timing_info.get("total_time_ms")

    assert ttft_ms is not None and ttft_ms > 0, f"Expected ttft_ms > 0, got: {ttft_ms}"
    assert (
        total_time_ms is not None and total_time_ms > 0
    ), f"Expected total_time_ms > 0, got: {total_time_ms}"
    assert (
        total_time_ms >= ttft_ms
    ), f"Expected total_time_ms >= ttft_ms, got {total_time_ms} < {ttft_ms}"
    logger.info(
        f"✓ Verified timing: ttft_ms={ttft_ms:.2f}, total_time_ms={total_time_ms:.2f}"
    )


########################################################
# Utility functions
########################################################


async def wait_for_frontend_ready(
    frontend_url: str, expected_num_workers: int = 2, timeout: int = 120
):
    """Wait for backend worker(s) to be ready via the HTTP frontend (OpenAI API).

    This function performs a two-phase readiness check through the frontend HTTP server:
        1. Polls GET /v1/models until at least one model is registered (workers connected)
        2. Sends a test POST to /v1/chat/completions to verify the request pipeline is functional

    Use this when testing through the HTTP frontend server (dynamo.frontend).
    For direct Python API testing with KvRouter, use wait_for_workers_ready() instead.

    Args:
        frontend_url: Base URL of the frontend HTTP server (e.g., "http://localhost:8000")
        expected_num_workers: Number of workers to wait for (currently logs but doesn't enforce)
        timeout: Maximum time to wait in seconds for both phases combined

    Raises:
        TimeoutError: If workers don't register or pipeline doesn't become ready within timeout
        aiohttp.ClientError: If HTTP requests fail unexpectedly
    """

    models_url = f"{frontend_url}/v1/models"
    chat_url = f"{frontend_url}/v1/chat/completions"
    start_time = asyncio.get_event_loop().time()

    logger.info(
        f"Waiting for {expected_num_workers} workers to register on HTTP frontend (timeout={timeout}s)..."
    )

    # Phase 1: Wait for models to appear in /v1/models
    model_name = None
    while True:
        elapsed = asyncio.get_event_loop().time() - start_time

        if elapsed > timeout:
            raise TimeoutError(
                f"Timeout waiting for vLLM workers. Waited {elapsed:.1f}s, no workers registered."
            )

        try:
            async with aiohttp.ClientSession() as session:
                async with session.get(models_url) as response:
                    if response.status == 200:
                        data = await response.json()
                        models = data.get("data", [])
                        if len(models) > 0:
                            model_name = models[0].get("id")
                            logger.info(
                                f"Workers registered. Found {len(models)} model(s): {[m.get('id') for m in models]}"
                            )
                            break
                        else:
                            logger.debug(
                                f"No models registered yet (elapsed: {elapsed:.1f}s)"
                            )
        except Exception as e:
            logger.debug(f"Error checking models endpoint: {e}")

        # Wait before next poll
        await asyncio.sleep(1)

    # Phase 2: Wait for chat completions pipeline to be ready
    logger.info("Waiting for chat completions pipeline to be built...")
    test_payload = {
        "model": model_name,
        "messages": [{"role": "user", "content": "test"}],
        "max_tokens": 1,
        "stream": False,
    }

    while True:
        elapsed = asyncio.get_event_loop().time() - start_time

        if elapsed > timeout:
            raise TimeoutError(
                f"Timeout waiting for chat completions pipeline. Waited {elapsed:.1f}s."
            )

        try:
            async with aiohttp.ClientSession() as session:
                async with session.post(chat_url, json=test_payload) as response:
                    if response.status == 200:
                        logger.info("Chat completions pipeline ready!")
                        return
                    else:
                        logger.debug(
                            f"Chat completions not ready yet, status {response.status} (elapsed: {elapsed:.1f}s)"
                        )
        except Exception as e:
            logger.debug(f"Error testing chat completions: {e}")

        # Wait before next poll
        await asyncio.sleep(1)


async def wait_for_workers_ready(
    endpoint,
    router: KvRouter,
    expected_num_workers: int,
    model_name: str,
) -> list[int]:
    """Wait for workers to be ready and return their instance IDs.
    Supports mocker and vLLM workers.

    This function polls the endpoint's client for instance IDs until the expected
    number of workers are available, then sends a warmup request to verify they
    can handle requests.

    Args:
        endpoint: The endpoint object to get the client from
        router: The KvRouter to use for sending warmup requests
        expected_num_workers: Number of workers to wait for

    Returns:
        Sorted list of unique instance IDs (ints).

    Raises:
        AssertionError: If workers don't become ready or warmup request fails.
    """
    logger.info("Waiting for workers to be ready")

    # Get the client from the endpoint
    client = await endpoint.client()

    # Poll for instance IDs until we have the expected number
    instance_ids: list[int] = []
    max_wait_time = 60  # seconds
    start_time = asyncio.get_running_loop().time()

    while len(instance_ids) < expected_num_workers:
        instance_ids = client.instance_ids()
        logger.info(f"Found {len(instance_ids)} instance(s): {instance_ids}")

        if len(instance_ids) >= expected_num_workers:
            break

        # Check timeout
        if asyncio.get_running_loop().time() - start_time > max_wait_time:
            raise AssertionError(
                f"Timeout waiting for workers. Found {len(instance_ids)} instance(s), expected {expected_num_workers}"
            )

        # Wait 1 second before polling again
        await asyncio.sleep(1.0)

    # Send a warmup request to verify workers can handle requests
    test_token_ids = [random.randint(1, 10000) for _ in range(4)]
    logger.info(f"Sending warmup request with {len(test_token_ids)} tokens")

    try:
        await send_request_via_python_kv_router(
            kv_python_router=router,
            model_name=model_name,
            token_ids=test_token_ids,
            initial_wait=1.0,
            max_retries=8,
            stop_conditions={
                "ignore_eos": True,
                "max_tokens": 2,
            },
        )
    except Exception as e:
        raise AssertionError(f"Warmup request failed: {e}")

    logger.info(f"All {len(instance_ids)} workers are ready")
    return sorted(instance_ids)


async def send_request_with_retry(url: str, payload: dict, max_retries: int = 8):
    """Send a single request with exponential backoff retry"""
    wait_time = 1  # Start with 1 second

    for attempt in range(max_retries + 1):
        await asyncio.sleep(wait_time)
        try:
            async with aiohttp.ClientSession() as session:
                async with session.post(url, json=payload) as response:
                    if response.status == 200:
                        # Read the response to ensure it's valid
                        async for _ in response.content:
                            pass
                        logger.debug(
                            f"First request succeeded on attempt {attempt + 1}"
                        )
                        return True
                    else:
                        logger.warning(
                            f"Attempt {attempt + 1} failed with status {response.status}"
                        )
        except Exception as e:
            logger.warning(f"Attempt {attempt + 1} failed with error: {e}")

        if attempt < max_retries:
            wait_time *= 2  # Double the wait time

    return False


def get_runtime(store_backend="etcd", request_plane="tcp"):
    """Create a DistributedRuntime instance for testing.

    Args:
        store_backend: Storage backend to use ("etcd" or "file"). Defaults to "etcd".
        request_plane: How frontend talks to backend ("tcp", "http" or "nats"). Defaults to "tcp".
    """
    try:
        # Try to get running loop (works in async context)
        loop = asyncio.get_running_loop()
    except RuntimeError:
        # No running loop, create a new one (sync context)
        loop = asyncio.new_event_loop()
        asyncio.set_event_loop(loop)
    return DistributedRuntime(loop, store_backend, request_plane)


async def check_nats_consumers(namespace: str, expected_count: Optional[int] = None):
    """Check NATS consumers for the KV events stream.

    Args:
        namespace: The namespace to check consumers for
        expected_count: Optional expected number of consumers. If provided, asserts if count doesn't match.

    Returns:
        List of consumer names
    """
    component_subject = f"namespace.{namespace}.component.mocker"
    slugified = component_subject.lower().replace(".", "-").replace("_", "-")
    stream_name = f"{slugified}-kv-events"
    logger.info(f"Checking consumers for stream: {stream_name}")

    nc = await nats.connect(servers=_nats_server())
    try:
        js = nc.jetstream()
        consumer_infos = await js.consumers_info(stream_name)
        consumer_names = [info.name for info in consumer_infos]
        logger.info(f"Found {len(consumer_names)} consumers: {consumer_names}")

        # Log detailed consumer info
        for info in consumer_infos:
            logger.info(
                f"Consumer {info.name}: "
                f"num_pending={info.num_pending}, "
                f"num_ack_pending={info.num_ack_pending}, "
                f"ack_floor={info.ack_floor}, "
                f"delivered={info.delivered}"
            )

        if expected_count is not None:
            assert (
                len(consumer_names) == expected_count
            ), f"Expected {expected_count} durable consumers, found {len(consumer_names)}: {consumer_names}"
            logger.info(f"✓ Verified {expected_count} durable consumers exist")

        return consumer_names
    finally:
        await nc.close()


async def send_inflight_requests(urls: list, payload: dict, num_requests: int):
    """Send multiple requests concurrently, alternating between URLs if multiple provided"""

    # First, send test requests with retry to ensure all systems are ready
    for i, url in enumerate(urls):
        logger.info(f"Sending initial test request to URL {i} ({url}) with retry...")
        if not await send_request_with_retry(url, payload):
            raise RuntimeError(f"Failed to connect to URL {i} after multiple retries")

    async def send_single_request(session: aiohttp.ClientSession, request_id: int):
        # Alternate between URLs based on request_id
        url = urls[request_id % len(urls)]
        url_index = request_id % len(urls)

        try:
            async with session.post(url, json=payload) as response:
                if response.status != 200:
                    logger.error(
                        f"Request {request_id} to URL {url_index} failed with status {response.status}"
                    )
                    return False

                # For streaming responses, read the entire stream
                chunks = []
                async for line in response.content:
                    if line:
                        chunks.append(line)

                logger.debug(
                    f"Request {request_id} to URL {url_index} completed with {len(chunks)} chunks"
                )
                return True

        except Exception as e:
            logger.error(
                f"Request {request_id} to URL {url_index} failed with error: {e}"
            )
            return False

    # Send all requests at once
    async with aiohttp.ClientSession() as session:
        tasks = [send_single_request(session, i) for i in range(num_requests)]
        results = await asyncio.gather(*tasks, return_exceptions=True)

        successful = sum(1 for r in results if r if r is True)
        failed = num_requests - successful

        logger.info(f"Completed all requests: {successful} successful, {failed} failed")

    assert (
        successful == num_requests
    ), f"Expected {num_requests} successful requests, got {successful}"
    logger.info(f"All {num_requests} requests completed successfully")


async def send_request_via_python_kv_router(
    kv_python_router: KvRouter,
    model_name: str,
    token_ids: list,
    initial_wait: float,
    max_retries: int,
    stop_conditions: Optional[dict] = None,
    sampling_options: Optional[dict] = None,
    output_options: Optional[dict] = None,
    router_config_override: Optional[dict] = None,
    worker_id: Optional[
        int
    ] = None,  # If None, Router will select the best available worker
    dp_rank: Optional[int] = None,  # Data parallel rank (defaults to 0)
    return_worker_ids: bool = False,  # If True, return worker IDs from response
) -> bool | dict[str, Optional[int]]:
    """Send a request to the specified worker instance.

    Args:
        return_worker_ids: If True, returns a dict with prefill_worker_id and decode_worker_id.
                          If False, returns True on success or False on failure.

    Returns:
        If return_worker_ids=False: True if workers respond, otherwise raises or returns False.
        If return_worker_ids=True: Dict with 'prefill_worker_id' and 'decode_worker_id' keys.
    """

    wait_time = initial_wait

    log_message = (
        f"worker with worker_id={worker_id}"
        if worker_id is not None
        else "the best available worker"
    )

    # Retry loop sending request to worker with exponential backoff
    stream = None
    for attempt in range(max_retries + 1):
        try:
            logger.debug(f"Sending request to {log_message} (attempt {attempt + 1})")

            stream = await kv_python_router.generate(
                token_ids=token_ids,
                model=model_name,
                stop_conditions=stop_conditions,  # type: ignore[arg-type]
                sampling_options=sampling_options,  # type: ignore[arg-type]
                output_options=output_options,  # type: ignore[arg-type]
                router_config_override=router_config_override,  # type: ignore[arg-type]
                worker_id=worker_id,
                dp_rank=dp_rank,
            )

            if stream is not None:
                logger.debug(f"Request succeeded on attempt {attempt + 1}")
                break

        except Exception as e:
            logger.warning(f"Attempt {attempt + 1} failed with error: {e}")
            if attempt < max_retries:
                await asyncio.sleep(wait_time)
                wait_time *= 2
            else:
                raise RuntimeError(
                    f"Failed to connect to workers after {max_retries + 1} attempts"
                ) from e

    if stream is None:
        raise RuntimeError(
            f"Failed to get a valid stream from workers after {max_retries + 1} attempts"
        )

    # Collect tokens and worker IDs from the SSE stream
    generated_tokens = []
    prefill_worker_id: Optional[int] = None
    decode_worker_id: Optional[int] = None
    prefill_dp_rank: Optional[int] = None
    decode_dp_rank: Optional[int] = None

    async for response in stream:
        if isinstance(response, dict):
            # Check if response has token_ids
            if "token_ids" in response:
                tokens = response["token_ids"]
                if isinstance(tokens, list):
                    generated_tokens.extend(tokens)
                    logger.debug(f"Received {len(tokens)} tokens: {tokens}")

            # Check for finish reason
            if "finish_reason" in response:
                logger.debug(
                    f"Stream finished with reason: {response['finish_reason']}"
                )

            # Extract worker IDs and dp_ranks from disaggregated_params if present
            if return_worker_ids and "disaggregated_params" in response:
                disagg_params = response["disaggregated_params"]
                if isinstance(disagg_params, dict) and "worker_id" in disagg_params:
                    worker_id_info = disagg_params["worker_id"]
                    if isinstance(worker_id_info, dict):
                        if "prefill_worker_id" in worker_id_info:
                            prefill_worker_id = worker_id_info["prefill_worker_id"]
                        if "decode_worker_id" in worker_id_info:
                            decode_worker_id = worker_id_info["decode_worker_id"]
                        if "prefill_dp_rank" in worker_id_info:
                            prefill_dp_rank = worker_id_info["prefill_dp_rank"]
                        if "decode_dp_rank" in worker_id_info:
                            decode_dp_rank = worker_id_info["decode_dp_rank"]

    # Verify if expected number of tokens are generated if max_tokens specified and ignore_eos is True
    logger.debug(f"Total generated tokens: {len(generated_tokens)}")
    if (
        stop_conditions
        and "max_tokens" in stop_conditions
        and "ignore_eos" in stop_conditions
        and stop_conditions["ignore_eos"]
    ):
        max_tokens = int(stop_conditions["max_tokens"])
        assert len(generated_tokens) == max_tokens, (
            f"Expected exactly {max_tokens} tokens but got {len(generated_tokens)}. "
            f"Tokens: {generated_tokens}"
        )

        logger.debug(
            f"Successfully verified {max_tokens} tokens generated as expected via KvRouter with ignore_eos=True"
        )

    if return_worker_ids:
        return {
            "prefill_worker_id": prefill_worker_id,
            "decode_worker_id": decode_worker_id,
            "prefill_dp_rank": prefill_dp_rank,
            "decode_dp_rank": decode_dp_rank,
        }

    return True


########################################################
# Test templates
########################################################


def _test_router_basic(
    engine_workers,
    block_size: int,
    request,
    frontend_port: int,
    test_payload: dict,
    num_requests: int,
    frontend_timeout: int = 120,
    store_backend: str = "etcd",
    request_plane: str = "nats",
):
    """Basic router test: start router, wait for workers and send concurrent requests via HTTP frontend.

    Assumes engine_workers are already initialized. This function manages router lifecycle.

    This is a shared test implementation for both mocker and vLLM workers.
    Always waits for workers to be properly registered before sending requests to avoid flakiness.

    Args:
        engine_workers: Backend worker instance ({MockerProcess, VLLMProcess, TRTLLMProcess}) (already initialized with __enter__())
        block_size: Block size for KV cache
        request: Pytest request fixture for managing resources
        frontend_port: Port to start the frontend HTTP server on
        test_payload: Test payload to send to /v1/chat/completions
        num_requests: Number of concurrent requests to send
        frontend_timeout: Timeout for frontend readiness check (default: 120s)
        store_backend: Storage backend to use ("etcd" or "file"). Defaults to "etcd".
        request_plane: Request plane to use ("nats", "tcp", or "http"). Defaults to "nats".

    Raises:
        AssertionError: If requests fail or frontend doesn't become ready
        TimeoutError: If frontend doesn't become ready within timeout
    """
    with KVRouterProcess(
        request,
        block_size,
        frontend_port,
        engine_workers.namespace,
        store_backend,
        request_plane=request_plane,
    ):
        # Start KV router frontend
        logger.info(f"Starting KV router frontend on port {frontend_port}")

        frontend_url = f"http://localhost:{frontend_port}"

        # Always wait for workers to register with frontend to avoid flakiness
        logger.info("Waiting for workers to register with frontend...")
        asyncio.run(
            wait_for_frontend_ready(
                frontend_url=frontend_url,
                expected_num_workers=engine_workers.num_workers,
                timeout=frontend_timeout,
            )
        )

        # Send concurrent requests to the frontend
        logger.info(f"Sending {num_requests} concurrent requests to frontend...")
        asyncio.run(
            send_inflight_requests(
                [f"{frontend_url}/v1/chat/completions"],
                test_payload,
                num_requests,
            )
        )

        logger.info(f"Successfully completed {num_requests} requests")


def _test_router_two_routers(
    engine_workers,
    block_size: int,
    request,
    router_ports: list[int],
    test_payload: dict,
    num_requests: int,
    store_backend: str = "etcd",
    skip_consumer_verification: bool = False,
):
    """Test two KV routers with alternating requests and consumer lifecycle verification.

    Assumes engine_workers are already initialized. This function manages router lifecycle.

    This test:
    1. Starts two KV routers on different ports
    2. Sends requests alternating between the two routers
    3. Verifies that both routers create durable consumers (unless skipped)
    4. Verifies consumers are cleaned up when routers exit (unless skipped)

    Args:
        engine_workers: Backend workers (mocker/vllm) already initialized with __enter__()
        block_size: Block size for KV cache
        request: Pytest request fixture for managing resources
        router_ports: List of two port numbers for the routers (e.g., [8091, 8092])
        test_payload: Test payload to send to /v1/chat/completions
        num_requests: Number of concurrent requests to send
        store_backend: Storage backend to use ("etcd" or "file"). Defaults to "etcd".
        skip_consumer_verification: Skip JetStream consumer verification (for NATS Core mode).

    Raises:
        AssertionError: If consumer lifecycle verification fails
    """
    import nats

    kv_routers = []

    try:
        # Start two KV routers on different ports
        for i, port in enumerate(router_ports):
            logger.info(f"Starting KV router frontend on port {port}")
            kv_router = KVRouterProcess(
                request, block_size, port, engine_workers.namespace, store_backend
            )
            kv_router.__enter__()
            kv_routers.append(kv_router)

            # Add delay between routers for file backend to ensure first router's
            # registration is visible before second router starts its cleanup
            if i == 0 and store_backend == "file":
                logger.info(
                    "Waiting 0.5s for first router to fully register (file backend)"
                )
                time.sleep(0.5)

        # Wait for workers to be ready on both routers
        logger.info("Waiting for workers to register with both routers...")
        for i, port in enumerate(router_ports):
            frontend_url = f"http://localhost:{port}"
            logger.info(f"Waiting for router {i} on port {port} to discover workers...")
            asyncio.run(
                wait_for_frontend_ready(
                    frontend_url=frontend_url,
                    expected_num_workers=engine_workers.num_workers,
                    timeout=120,
                )
            )
        logger.info("Both routers have discovered workers")

        # Build URLs for both routers
        router_urls = [
            f"http://localhost:{port}/v1/chat/completions" for port in router_ports
        ]

        # Send requests concurrently, alternating between routers
        asyncio.run(
            send_inflight_requests(
                router_urls,
                test_payload,
                num_requests,
            )
        )

        logger.info(
            f"Successfully completed {num_requests} requests across {len(router_ports)} routers"
        )

        # Verify durable consumers lifecycle
        async def verify_consumer_lifecycle():
            logger.info("Verifying durable consumers lifecycle")

            # Construct the stream name from the workers namespace
            component_subject = f"namespace.{engine_workers.namespace}.component.{engine_workers.component_name}"
            slugified = component_subject.lower().replace(".", "-").replace("_", "-")
            stream_name = f"{slugified}-kv-events"

            logger.info(f"Checking consumers for stream: {stream_name}")

            # Connect to NATS and list consumers
            nc = await nats.connect(servers=_nats_server())
            try:
                js = nc.jetstream()

                # List consumers - should have 2 (one for each router process)
                consumer_infos = await js.consumers_info(stream_name)
                consumer_names = [info.name for info in consumer_infos]
                logger.info(f"Found {len(consumer_names)} consumers: {consumer_names}")

                assert (
                    len(consumer_names) == 2
                ), f"Expected 2 durable consumers (one per router), found {len(consumer_names)}: {consumer_names}"
                logger.info("✓ Verified 2 durable consumers exist (one per router)")

                # Kill the first router process
                logger.info(f"Killing first router on port {router_ports[0]}")
                kv_routers[0].__exit__(None, None, None)

                # Poll until one consumer remains (up to 5s)
                for _ in range(25):
                    consumer_infos = await js.consumers_info(stream_name)
                    if len(list(consumer_infos)) == 1:
                        break
                    await asyncio.sleep(0.2)

                # Verify only 1 consumer remains
                consumer_names = [info.name for info in consumer_infos]
                logger.info(
                    f"After killing router1, found {len(consumer_names)} consumers: {consumer_names}"
                )

                assert (
                    len(consumer_names) == 1
                ), f"Expected 1 durable consumer after killing router1, found {len(consumer_names)}: {consumer_names}"
                logger.info(
                    "✓ Verified 1 durable consumer remains after killing first router"
                )

                # Kill the second router process
                logger.info(f"Killing second router on port {router_ports[1]}")
                kv_routers[1].__exit__(None, None, None)

                # Poll until no consumers remain (up to 5s)
                for _ in range(25):
                    consumer_infos = await js.consumers_info(stream_name)
                    if len(list(consumer_infos)) == 0:
                        break
                    await asyncio.sleep(0.2)

                consumer_names = [info.name for info in consumer_infos]
                logger.info(
                    f"After killing router2, found {len(consumer_names)} consumers: {consumer_names}"
                )

                assert (
                    len(consumer_names) == 0
                ), f"Expected 0 durable consumers after killing both routers, found {len(consumer_names)}: {consumer_names}"
                logger.info(
                    "✓ Verified 0 durable consumers remain after killing both routers"
                )

            finally:
                await nc.close()

        # Run consumer lifecycle verification (skip for NATS Core mode)
        if skip_consumer_verification:
            logger.info("Skipping JetStream consumer verification (NATS Core mode)")
            # Clean up routers manually since we're not doing consumer verification
            for kv_router in kv_routers:
                kv_router.__exit__(None, None, None)
        else:
            asyncio.run(verify_consumer_lifecycle())

        # Clear the kv_routers list since we've already cleaned them up
        kv_routers = []

    finally:
        # Clean up any remaining routers (in case of error before consumer verification)
        for kv_router in kv_routers:
            kv_router.__exit__(None, None, None)


def _test_python_router_bindings(
    engine_workers,
    endpoint,
    block_size: int,
    model_name: str,
    num_workers: int,
):
    """Test KvRouter Python bindings with token streaming and config overrides.

    Assumes engine_workers are already initialized. This test creates a KvRouter
    Python object and sends three test requests to verify:
    1. Token streaming with full router config overrides (overlap_score_weight, router_temperature)
    2. Token streaming without any overrides (uses default config)
    3. Token streaming with partial override (only router_temperature)

    All requests use ignore_eos=True with varying max_tokens to test token generation control.

    Args:
        engine_workers: Backend workers (mocker/vllm) already initialized with __enter__()
        endpoint: Dynamo endpoint for the workers
        block_size: Block size for KV cache
        model_name: Model name to use for requests
        num_workers: Expected number of workers

    Raises:
        AssertionError: If requests fail or router doesn't work correctly
    """
    # Create KvRouterConfig with default settings
    kv_router_config = KvRouterConfig()

    # Create KvRouter Python object
    kv_router = KvRouter(
        endpoint=endpoint,
        block_size=block_size,
        kv_router_config=kv_router_config,
    )

    logger.info("Created KvRouter Python object")

    # Wait for workers to be ready
    asyncio.run(wait_for_workers_ready(endpoint, kv_router, num_workers, model_name))

    # Generate random token IDs (100 to 200 tokens)
    num_input_tokens = random.randint(100, 200)
    token_ids = [random.randint(1, 10000) for _ in range(num_input_tokens)]

    # Set up override parameters
    router_config_override = {
        "overlap_score_weight": 0.5,  # Override the default weight
        "router_temperature": 0.5,  # Override the default temperature
    }

    logger.info(f"Generated {num_input_tokens} random token IDs")

    # Test with full overrides
    logger.info(f"Testing with full router config overrides: {router_config_override}")
    asyncio.run(
        send_request_via_python_kv_router(
            kv_python_router=kv_router,
            model_name=model_name,
            token_ids=token_ids,
            initial_wait=1.0,
            max_retries=8,
            stop_conditions={
                "ignore_eos": True,  # Don't stop on EOS token
                "max_tokens": 20,  # Generate exactly 20 tokens
            },
            sampling_options={"temperature": 0.7, "top_p": 0.9},
            output_options={
                "include_input_tokens": False,
                "return_full_text": False,
            },
            router_config_override=router_config_override,
        )
    )

    # Test without overrides
    logger.info("Testing without router config overrides")
    asyncio.run(
        send_request_via_python_kv_router(
            kv_python_router=kv_router,
            model_name=model_name,
            token_ids=token_ids[:50],  # Use fewer tokens for second test,
            initial_wait=1.0,
            max_retries=8,
            stop_conditions={
                "ignore_eos": True,  # Don't stop on EOS token
                "max_tokens": 10,  # Generate exactly 10 tokens for the second test
            },
            sampling_options={"temperature": 0.7, "top_p": 0.9},
            output_options={
                "include_input_tokens": False,
                "return_full_text": False,
            },
            # No router_config_override this time
        )
    )

    # Test with partial override (only temperature)
    partial_override = {"router_temperature": 0.1}
    logger.info(f"Testing with partial router config overrides: {partial_override}")
    asyncio.run(
        send_request_via_python_kv_router(
            kv_python_router=kv_router,
            model_name=model_name,
            token_ids=token_ids[:30],  # Use fewer tokens for third test,
            initial_wait=1.0,
            max_retries=8,
            stop_conditions={
                "ignore_eos": True,  # Don't stop on EOS token
                "max_tokens": 5,  # Generate exactly 5 tokens for the third test
            },
            sampling_options={"temperature": 0.7, "top_p": 0.9},
            output_options={
                "include_input_tokens": False,
                "return_full_text": False,
            },
            router_config_override=partial_override,
        )
    )

    logger.info("KvRouter bindings test completed successfully")


def _test_router_query_instance_id(
    engine_workers,
    block_size: int,
    request,
    frontend_port: int,
    test_payload: dict,
    store_backend: str = "etcd",
):
    """Test query_instance_id annotation returns worker_instance_id and token_data without routing.

    Assumes engine_workers are already initialized. This function manages router lifecycle.

    This tests the early return optimization where a request with 'nvext.annotations': ['query_instance_id']
    receives metadata without waiting for model generation. The router should:
    1. NOT route the request to a worker for generation
    2. Return worker_instance_id as an SSE event (which worker would handle it)
    3. Return token_data as an SSE event (the tokenized input)
    4. Terminate the stream with [DONE]

    This is useful for clients that want to know which worker will handle a request before
    committing to the full generation (e.g., for request routing decisions).

    Args:
        engine_workers: Backend workers (mocker/vllm) already initialized with __enter__()
        block_size: Block size for KV cache
        request: Pytest request fixture for managing resources
        frontend_port: Port for the frontend HTTP server
        test_payload: Base test payload to send to /v1/chat/completions
        store_backend: Storage backend to use ("etcd" or "file"). Defaults to "etcd".

    Raises:
        AssertionError: If annotation response structure is incorrect or contains generation content
    """

    with KVRouterProcess(
        request, block_size, frontend_port, engine_workers.namespace, store_backend
    ):
        # Start KV router (frontend)
        logger.info(f"Starting KV router frontend on port {frontend_port}")

        url = f"http://localhost:{frontend_port}/v1/chat/completions"

        # Send a warming request first to ensure system is ready
        logger.info("Sending warming request without annotations...")
        asyncio.run(send_request_with_retry(url, test_payload))

        # Test payload with query_instance_id annotation
        # Format: "query_instance_id:" (colon with empty value) for GAIE aggregated mode
        annotated_payload = {
            **test_payload,
            "nvext": {"annotations": ["query_instance_id:"]},
        }

        async def test_annotation_response():
            """Send request with query_instance_id and validate response structure"""
            async with aiohttp.ClientSession() as session:
                logger.info("Sending request with query_instance_id annotation...")

                async with session.post(url, json=annotated_payload) as response:
                    assert (
                        response.status == 200
                    ), f"Expected 200 but got {response.status}"

                    # Collect all response chunks
                    response_chunks = []
                    async for chunk in response.content:
                        if chunk:
                            chunk_str = chunk.decode("utf-8", errors="replace")
                            response_chunks.append(chunk_str)

                    full_response = "".join(response_chunks)
                    logger.info(
                        f"Full SSE response ({len(full_response)} bytes):\n{full_response}"
                    )

                    # Parse the SSE response to extract the first chunk with nvext data
                    # New format: nvext contains worker_id and token_ids
                    sse_parts = full_response.split("\n\n")
                    worker_id_info = None
                    token_list = None

                    for part in sse_parts:
                        part = part.strip()
                        if not part or not part.startswith("data:"):
                            continue

                        data_str = part.split("data:", 1)[1].strip()
                        if data_str == "[DONE]":
                            continue

                        try:
                            chunk = json.loads(data_str)
                            logger.info(f"Parsed chunk: {json.dumps(chunk, indent=2)}")

                            # Extract nvext data containing worker_id and token_ids
                            nvext = chunk.get("nvext", {})
                            if nvext:
                                if "worker_id" in nvext:
                                    worker_id_info = nvext["worker_id"]
                                    logger.info(
                                        f"Found worker_id info: {worker_id_info}"
                                    )
                                if "token_ids" in nvext:
                                    token_list = nvext["token_ids"]
                                    logger.info(
                                        f"Found token_ids: {len(token_list)} tokens"
                                    )
                        except json.JSONDecodeError:
                            continue

                    # Validate worker_id info
                    assert (
                        worker_id_info is not None
                    ), f"Missing worker_id in nvext. Response: {full_response}"

                    # For aggregated mode, both prefill and decode should be the same
                    prefill_worker_id = worker_id_info.get("prefill_worker_id")
                    decode_worker_id = worker_id_info.get("decode_worker_id")
                    assert (
                        prefill_worker_id is not None
                    ), f"Missing prefill_worker_id in worker_id: {worker_id_info}"
                    assert (
                        decode_worker_id is not None
                    ), f"Missing decode_worker_id in worker_id: {worker_id_info}"
                    assert (
                        prefill_worker_id == decode_worker_id
                    ), f"For aggregated mode, prefill and decode worker should be same: {worker_id_info}"

                    # Validate token_ids
                    assert (
                        token_list is not None
                    ), f"Missing token_ids in nvext. Response: {full_response}"
                    assert isinstance(
                        token_list, list
                    ), f"token_ids should be a list, got: {type(token_list)}"
                    assert (
                        len(token_list) > 0
                    ), f"token_ids should not be empty: {token_list}"
                    assert all(
                        isinstance(token, int) for token in token_list
                    ), f"All tokens should be integers: {token_list}"

                    logger.info(
                        f"Valid token_ids with {len(token_list)} tokens: {token_list[:10]}{'...' if len(token_list) > 10 else ''}"
                    )

                    return {
                        "prefill_worker_id": prefill_worker_id,
                        "decode_worker_id": decode_worker_id,
                        "token_count": len(token_list),
                        "tokens": token_list,
                    }

        result = asyncio.run(test_annotation_response())

        logger.info("Successfully validated query_instance_id annotation response:")
        logger.info(f"Prefill Worker ID: {result['prefill_worker_id']}")
        logger.info(f"Decode Worker ID: {result['decode_worker_id']}")
        logger.info(f"Token count: {result['token_count']}")


def _test_router_overload_503(
    engine_workers,
    block_size: int,
    request,
    frontend_port: int,
    test_payload: dict,
    blocks_threshold: float = 0.2,
):
    """Test that KV router returns 503 when all workers are busy.

    Assumes engine_workers are already initialized. This function manages router lifecycle.
    Uses limited resources to intentionally trigger the overload condition.

    Args:
        engine_workers: Backend workers (mocker/vllm) already initialized with __enter__()
        block_size: Block size for KV cache (should be small to exhaust quickly, e.g. 4)
        request: Pytest request fixture for managing resources
        frontend_port: Port for the frontend HTTP server
        test_payload: Base test payload to send to /v1/chat/completions
        blocks_threshold: Active decode blocks threshold for the router (default 0.2)

    Raises:
        AssertionError: If 503 response is not received when expected
    """

    logger.info(
        f"Starting KV router frontend on port {frontend_port} with limited resources"
    )

    with KVRouterProcess(
        request=request,
        block_size=block_size,
        frontend_port=frontend_port,
        namespace=engine_workers.namespace,
        blocks_threshold=blocks_threshold,
    ):
        url = f"http://localhost:{frontend_port}/v1/chat/completions"

        # Custom payload for 503 test with more tokens to consume resources
        test_payload_503 = {
            **test_payload,
            "max_tokens": 50,  # Longer output to consume more blocks
        }

        # First, send one request with retry to ensure system is ready
        logger.info("Sending initial request to ensure system is ready...")
        asyncio.run(send_inflight_requests([url], test_payload_503, 1))

        # Now send 50 concurrent requests to exhaust resources, then verify 503
        logger.info("Sending 50 concurrent requests to exhaust resources...")

        async def exhaust_resources_and_verify_503():
            async with aiohttp.ClientSession() as session:
                # Start 50 long-running requests concurrently
                tasks = []
                for i in range(50):
                    # Create unique shuffled content for each request
                    content_words = test_payload["messages"][0]["content"].split()
                    random.shuffle(content_words)
                    shuffled_content = " ".join(content_words)

                    # Create unique payload for this request
                    unique_payload = {
                        **test_payload,
                        "max_tokens": 50,
                        "messages": [
                            {**test_payload["messages"][0], "content": shuffled_content}
                        ],
                    }

                    async def send_long_request(req_id, payload):
                        try:
                            async with session.post(url, json=payload) as response:
                                if response.status == 200:
                                    # Don't read the response fully, just hold the connection
                                    await asyncio.sleep(
                                        10
                                    )  # Hold connection for 10 seconds
                                    return True
                                else:
                                    logger.info(
                                        f"Request {req_id} got status {response.status}"
                                    )
                                    return False
                        except Exception as e:
                            logger.info(f"Request {req_id} failed: {e}")
                            return False

                    tasks.append(
                        asyncio.create_task(send_long_request(i, unique_payload))
                    )

                # Wait briefly to ensure requests are in-flight
                await asyncio.sleep(0.2)

                # Now send one more request that should get 503
                logger.info("Sending additional request that should receive 503...")
                try:
                    async with session.post(url, json=test_payload_503) as response:
                        status_code = response.status
                        if status_code == 503:
                            body = await response.json()
                            logger.info(f"Got expected 503 response: {body}")
                            assert "Service temporarily unavailable" in body.get(
                                "error", ""
                            ) or "All workers are busy" in body.get(
                                "error", ""
                            ), f"Expected service overload error message, got: {body}"
                            return True
                        else:
                            logger.error(f"Expected 503 but got {status_code}")
                            if status_code == 200:
                                logger.error(
                                    "Request unexpectedly succeeded when it should have been rejected"
                                )
                            return False
                except Exception as e:
                    logger.error(f"Failed to send overload test request: {e}")
                    return False
                finally:
                    # Cancel all background tasks
                    for task in tasks:
                        task.cancel()
                    await asyncio.gather(*tasks, return_exceptions=True)

        # Run the test
        success = asyncio.run(exhaust_resources_and_verify_503())
        assert success, "Failed to verify 503 response when resources are exhausted"

        logger.info("Successfully verified 503 response when all workers are busy")


def _test_router_indexers_sync(
    engine_workers,
    block_size: int,
    model_name: str,
    num_workers: int,
    store_backend: str = "etcd",
    request_plane: str = "nats",
    test_nats_interruption: bool = False,
    nats_server: Optional["NatsServer"] = None,
    durable_kv_events: bool = False,
    router_event_threads: int = 4,
):
    """Test that two KV routers have synchronized indexer states after processing requests.

    Assumes engine_workers are already initialized. This test:
    1. Creates first KvRouter (with its own runtime) and sends 25 requests (triggers snapshot at threshold=20)
    2. Creates second KvRouter (with its own runtime, should sync from NATS snapshot)
    3. Sends 25 requests to second router
    4. Verifies NATS object store contains the snapshot
    5. Dumps states from both routers and compares them (should be identical)

    This validates that the snapshot mechanism works and routers can sync state from NATS.

    When test_nats_interruption=True (requires nats_server and request_plane="tcp"):
    - After first router sends 25 requests, NATS is stopped
    - 10 more requests sent while NATS is down (stored locally by local indexer)
    - NATS restarted (fresh state), recovery mechanism re-syncs
    - Second router starts and sends 25 requests
    - NATS stopped again, 10 more requests sent
    - NATS restarted, 5 more requests sent
    - Verify both routers converge to same state

    Args:
        engine_workers: Backend worker instance ({MockerProcess, VLLMProcess, TRTLLMProcess}) (already initialized with __enter__())
        block_size: Block size for KV cache
        model_name: Model name to use for requests
        num_workers: Expected number of workers
        store_backend: Storage backend to use ("etcd" or "file"). Defaults to "etcd".
        request_plane: Request plane to use ("nats" or "tcp"). Defaults to "nats".
        test_nats_interruption: If True, test NATS interruption recovery. Defaults to False.
        nats_server: NatsServer instance for stop/start (required if test_nats_interruption=True).
        durable_kv_events: If True, use durable KV events (JetStream). Defaults to False.

    Raises:
        AssertionError: If router states don't synchronize correctly or snapshot is missing
    """
    if test_nats_interruption and nats_server is None:
        raise ValueError("nats_server is required when test_nats_interruption=True")

    # Use async to manage the test flow
    async def test_sync():
        # Create KvRouterConfig with lower snapshot threshold for testing
        kv_router_config = KvRouterConfig(
            router_snapshot_threshold=20,
            durable_kv_events=durable_kv_events,
            router_event_threads=router_event_threads,
        )

        async def send_requests_to_router(router, num_requests, router_name, endpoint):
            # Now send the actual requests
            tasks = []
            for i in range(num_requests):
                # Generate random token IDs for each request
                logger.debug(f"Sending request {i + 1}/{num_requests} to {router_name}")

                # Generate 30 random tokens
                request_tokens = [random.randint(1, 10000) for _ in range(30)]

                # Send request to mocker via the router
                tasks.append(
                    asyncio.create_task(
                        send_request_via_python_kv_router(
                            kv_python_router=router,
                            model_name=model_name,
                            token_ids=request_tokens,
                            initial_wait=1.0,
                            max_retries=8,
                            stop_conditions={
                                "ignore_eos": True,  # Don't stop on EOS token
                                "max_tokens": 10,  # Generate exactly 10 tokens
                            },
                        )
                    )
                )

            # Wait for all requests to complete
            results = await asyncio.gather(*tasks)
            successful = sum(1 for r in results if r)
            logger.info(
                f"Completed {successful}/{num_requests} requests for {router_name}"
            )
            return successful

        # Create first runtime and endpoint for router 1
        logger.info("Creating first KV router with its own runtime")
        runtime1 = get_runtime(store_backend, request_plane)
        endpoint1 = runtime1.endpoint(
            f"{engine_workers.namespace}.{engine_workers.component_name}.generate"
        )

        kv_router1 = KvRouter(
            endpoint=endpoint1,
            block_size=block_size,
            kv_router_config=kv_router_config,
        )

        # Wait for workers to be ready
        await wait_for_workers_ready(endpoint1, kv_router1, num_workers, model_name)

        # Send 25 requests to first router
        logger.info("Sending 25 requests to first router")

        # Send requests to first router
        successful1 = await send_requests_to_router(
            kv_router1, 25, "Router 1", endpoint1
        )
        assert (
            successful1 == 25
        ), f"Expected 25 successful requests to router 1, got {successful1}"

        # NATS interruption test: stop NATS, send requests, restart
        if test_nats_interruption:
            await asyncio.sleep(1)

            assert nats_server is not None  # Validated at function entry
            logger.info("=== NATS INTERRUPTION TEST: Phase 1 ===")
            logger.info("Stopping NATS server")
            nats_server.stop()

            logger.info("Sending 10 requests while NATS is down (via TCP)")
            successful_offline1 = await send_requests_to_router(
                kv_router1, 10, "Router 1 (NATS down)", endpoint1
            )
            assert (
                successful_offline1 == 10
            ), f"Expected 10 successful requests while NATS down, got {successful_offline1}"

            logger.info("Restarting NATS server (fresh state)")
            nats_server.start()

            await asyncio.sleep(5)

        # Wait for a second before creating the second router
        logger.info("Waiting for 1 second before creating second router")
        await asyncio.sleep(1)

        # Create second runtime and endpoint for router 2
        logger.info("Creating second KV router with its own runtime")
        runtime2 = get_runtime(store_backend, request_plane)
        endpoint2 = runtime2.endpoint(
            f"{engine_workers.namespace}.{engine_workers.component_name}.generate"
        )

        kv_router2 = KvRouter(
            endpoint=endpoint2,
            block_size=block_size,
            kv_router_config=kv_router_config,
        )

        # Send 25 requests to second router with initial retry loop
        logger.info("Sending 25 requests to second router")
        successful2 = await send_requests_to_router(
            kv_router2, 25, "Router 2", endpoint2
        )
        assert (
            successful2 == 25
        ), f"Expected 25 successful requests to router 2, got {successful2}"

        # NATS interruption test: stop NATS again, send requests, restart, send more
        if test_nats_interruption:
            await asyncio.sleep(1)

            assert nats_server is not None  # Validated at function entry
            logger.info("=== NATS INTERRUPTION TEST: Phase 2 ===")
            logger.info("Stopping NATS server")
            nats_server.stop()

            logger.info("Sending 10 requests while NATS is down (via TCP)")
            successful_offline2 = await send_requests_to_router(
                kv_router2, 10, "Router 2 (NATS down)", endpoint2
            )
            assert (
                successful_offline2 == 10
            ), f"Expected 10 successful requests while NATS down, got {successful_offline2}"

            logger.info("Restarting NATS server (fresh state)")
            nats_server.start()
            await asyncio.sleep(5)

            logger.info("Sending 5 more requests after NATS recovery")
            successful_recovery = await send_requests_to_router(
                kv_router1, 5, "Router 1 (post-recovery)", endpoint1
            )
            assert (
                successful_recovery == 5
            ), f"Expected 5 successful requests post-recovery, got {successful_recovery}"

        # Wait for all requests to complete (they should already be complete from gather)
        # Wait another 1 second for internal synchronization
        logger.info("Waiting for final synchronization")
        await asyncio.sleep(1)

        # Verify NATS object store bucket was created with snapshot
        # Skip this verification for NATS interruption test since NATS restarts fresh
        # (local indexer recovery doesn't rely on NATS persistence)
        if not test_nats_interruption:
            # Mirror the Rust bucket naming logic from subscriber.rs:
            # component.subject() -> "namespace.{ns}.component.{comp}"
            # then slugify (convert dots to dashes, lowercase, etc) and append "-radix-bucket"
            component_subject = f"namespace.{engine_workers.namespace}.component.{engine_workers.component_name}"
            slugified = component_subject.lower().replace(".", "-").replace("_", "-")
            expected_bucket = f"{slugified}-radix-bucket"
            expected_file = "radix-state"

            logger.info(f"Verifying NATS object store bucket exists: {expected_bucket}")
            snapshot_verified = False

            # Connect to NATS and check object store. This honors per-test NATS instances
            # started by fixtures (xdist-safe) instead of assuming localhost:4222.
            nc = await nats.connect(servers=_nats_server())
            try:
                js = nc.jetstream()
                obj_store = await js.object_store(expected_bucket)

                # Try to get the expected file
                try:
                    result = await obj_store.get(expected_file)
                    logger.info(
                        f"✓ Snapshot file '{expected_file}' found in bucket '{expected_bucket}' "
                        f"(size: {len(result.data) if result.data else 0} bytes)"
                    )
                    snapshot_verified = True
                except Exception as e:
                    logger.error(
                        f"Snapshot file '{expected_file}' not found in bucket '{expected_bucket}': {e}"
                    )
            except Exception as e:
                logger.error(f"Error checking NATS object store: {e}")
            finally:
                await nc.close()

            # Assert that snapshot was created (threshold=20, sent 25 requests)
            if not snapshot_verified:
                assert False, (
                    f"Expected snapshot to be created in bucket '{expected_bucket}' with file '{expected_file}'. "
                    f"Router sent 25 requests with snapshot_threshold=20, so snapshot should have been triggered."
                )
        else:
            logger.info(
                "Skipping NATS object store verification (NATS was restarted fresh for interruption test)"
            )

        # Dump states from both routers
        logger.info("Dumping states from both routers")
        state1_json = await kv_router1.dump_events()
        state2_json = await kv_router2.dump_events()

        # Parse JSON strings for comparison
        state1 = json.loads(state1_json)
        state2 = json.loads(state2_json)

        # Sort both states for comparison (order might differ due to HashMap iteration and sharding)
        def sort_key(event):
            data = event["event"]["data"]["stored"]
            blocks = data["blocks"]
            first_block = blocks[0]
            return (
                event["worker_id"],
                first_block["tokens_hash"],
                data["parent_hash"],
            )

        sorted_state1 = sorted(state1, key=sort_key)
        sorted_state2 = sorted(state2, key=sort_key)

        logger.info(f"Router 1 has {len(sorted_state1)} events")
        logger.info(f"Router 2 has {len(sorted_state2)} events")

        assert_event_dumps_equal(sorted_state1, sorted_state2, "Router 1", "Router 2")
        logger.info("Successfully verified that both router states are equal")

        # Verify standalone indexer builds the same tree (only for non-durable/NATS Core)
        if not durable_kv_events:
            logger.info("Starting standalone indexer and verifying tree state")
            runtime3 = get_runtime(store_backend, request_plane)
            endpoint3 = runtime3.endpoint(
                f"{engine_workers.namespace}.{engine_workers.component_name}.generate"
            )
            await start_kv_block_indexer(endpoint3, block_size, kv_router_config)

            # Wait for the standalone indexer to sync events from workers
            await asyncio.sleep(3)

            # Query the standalone indexer's tree via kv_indexer_query endpoint
            # Note: reuse runtime3 to keep the standalone indexer's component alive
            query_endpoint = runtime3.endpoint(
                f"{engine_workers.namespace}.{engine_workers.component_name}.kv_indexer_query"
            )
            query_client = await query_endpoint.client()
            await query_client.wait_for_instances()
            stream = await query_client.generate("DumpTree", annotated=False)
            response = await stream.__anext__()
            standalone_state = response["TreeDump"]

            sorted_standalone = sorted(standalone_state, key=sort_key)

            logger.info(f"Standalone indexer has {len(sorted_standalone)} events")

            assert_event_dumps_equal(
                sorted_state1, sorted_standalone, "Router 1", "Standalone"
            )
            logger.info(
                "Successfully verified standalone indexer state matches router states"
            )
        else:
            logger.info(
                "Skipping standalone indexer verification (not supported with durable_kv_events)"
            )

        # Verify NATS consumers are created (while routers are still alive)
        # Skip this for NATS interruption test since it uses local indexer (NATS Core, not JetStream)
        if not test_nats_interruption:
            logger.info("Verifying NATS consumers exist for both routers")
            component_subject = f"namespace.{engine_workers.namespace}.component.{engine_workers.component_name}"
            slugified = component_subject.lower().replace(".", "-").replace("_", "-")
            stream_name = f"{slugified}-kv-events"

            nc = await nats.connect(servers=_nats_server())
            try:
                js = nc.jetstream()
                consumer_infos = await js.consumers_info(stream_name)
                consumer_names = [info.name for info in consumer_infos]
                logger.info(f"Found {len(consumer_names)} consumers: {consumer_names}")

                assert len(consumer_names) == 2, (
                    f"Expected 2 durable consumers (one per router), "
                    f"found {len(consumer_names)}: {consumer_names}"
                )
                logger.info("✓ Verified 2 durable consumers exist (one per router)")
            finally:
                await nc.close()
        else:
            logger.info(
                "Skipping NATS consumers verification (local indexer uses NATS Core, not JetStream)"
            )

    # Run the async test
    asyncio.run(test_sync())

    logger.info("Indexers sync test completed successfully")


def _test_router_decisions_disagg(
    prefill_workers,
    decode_workers,
    block_size: int,
    request,
    frontend_port: int,
    test_payload: dict,
    store_backend: str = "etcd",
    request_plane: str = "nats",
    durable_kv_events: bool = False,
):
    """Validate KV cache prefix reuse in disaggregated prefill-decode setup via HTTP frontend.

    Assumes prefill_workers and decode_workers are already initialized. This function manages
    router lifecycle and sends progressive requests with overlapping prefixes.

    This test:
    1. Starts the KV router frontend with disagg support
    2. Sends 4 progressive requests where each extends the previous tokens by block_size
    3. Extracts prefill_worker_id and decode_worker_id from response nvext
    4. Verifies all prefill_worker_ids are the same (due to prefix reuse routing)
    5. Verifies prefill_worker_id is NOT in the set of decode_worker_ids (true disagg)

    Args:
        prefill_workers: Prefill workers already initialized with __enter__()
        decode_workers: Decode workers already initialized with __enter__()
        block_size: Block size for KV cache
        request: Pytest request fixture for managing resources
        frontend_port: Port for the frontend HTTP server
        test_payload: Base test payload to send to /v1/chat/completions
        store_backend: Storage backend to use ("etcd" or "file"). Defaults to "etcd".
        durable_kv_events: If True, use durable KV events (JetStream). Defaults to False.

    Raises:
        AssertionError: If prefill_worker_ids differ across requests (prefix reuse failure)
        AssertionError: If prefill_worker_id is in decode_worker_ids (not true disagg)
    """
    with KVRouterProcess(
        request,
        block_size,
        frontend_port,
        decode_workers.namespace,
        store_backend,
        request_plane=request_plane,
        durable_kv_events=durable_kv_events,
    ):
        # Start KV router frontend - uses decode_workers namespace for discovery
        # The frontend will auto-discover both prefill and decode workers
        logger.info(
            f"Starting KV router frontend on port {frontend_port} for disagg test"
        )

        frontend_url = f"http://localhost:{frontend_port}"
        chat_url = f"{frontend_url}/v1/chat/completions"

        # Wait for workers to register with frontend
        logger.info(
            "Waiting for prefill and decode workers to register with frontend..."
        )
        asyncio.run(
            wait_for_frontend_ready(
                frontend_url=frontend_url,
                expected_num_workers=decode_workers.num_workers,
                timeout=120,
            )
        )

        async def send_progressive_requests():
            """Send 4 progressive requests with overlapping prefixes and collect worker IDs."""
            prefill_worker_ids = []
            decode_worker_ids = []

            # Generate base tokens for progressive prefix extension
            base_content = test_payload["messages"][0]["content"]

            async with aiohttp.ClientSession() as session:
                for i in range(4):
                    # Build progressive content by repeating base content
                    # Each iteration adds more content to extend the prefix
                    progressive_content = " ".join([base_content] * (i + 1))

                    # Create payload with worker_id and timing in extra_fields
                    payload = {
                        **test_payload,
                        "messages": [
                            {
                                "role": "user",
                                "content": progressive_content,
                            }
                        ],
                        "nvext": {"extra_fields": ["worker_id", "timing"]},
                        "stream": True,
                    }

                    logger.info(
                        f"Sending request {i + 1}/4 with progressive prefix "
                        f"(~{len(progressive_content)} chars)"
                    )

                    async with session.post(chat_url, json=payload) as response:
                        assert (
                            response.status == 200
                        ), f"Request {i + 1} failed with status {response.status}"

                        # Collect all chunks and look for nvext with worker_id and timing
                        prefill_wid = None
                        decode_wid = None
                        timing_info = None

                        async for line in response.content:
                            if not line:
                                continue

                            line_str = line.decode("utf-8", errors="replace").strip()
                            if not line_str.startswith("data:"):
                                continue

                            data_str = line_str[5:].strip()
                            if data_str == "[DONE]":
                                break

                            try:
                                data = json.loads(data_str)
                                # Check for nvext in the response
                                nvext = data.get("nvext", {})
                                if nvext:
                                    worker_id_info = nvext.get("worker_id", {})
                                    if worker_id_info:
                                        if "prefill_worker_id" in worker_id_info:
                                            prefill_wid = worker_id_info[
                                                "prefill_worker_id"
                                            ]
                                        if "decode_worker_id" in worker_id_info:
                                            decode_wid = worker_id_info[
                                                "decode_worker_id"
                                            ]
                                    # Timing info appears in final chunk
                                    if "timing" in nvext:
                                        timing_info = nvext["timing"]

                            except json.JSONDecodeError:
                                continue

                        logger.info(
                            f"Request {i + 1}: prefill_worker_id={prefill_wid}, "
                            f"decode_worker_id={decode_wid}, timing={timing_info}"
                        )

                        if prefill_wid is not None:
                            prefill_worker_ids.append(prefill_wid)
                        if decode_wid is not None:
                            decode_worker_ids.append(decode_wid)

                        # Verify timing info is present and valid
                        assert (
                            timing_info is not None
                        ), f"Request {i + 1}: Expected timing info in final chunk, got None"
                        verify_response_timing(timing_info)

                    # Small delay between requests
                    await asyncio.sleep(1)

            return prefill_worker_ids, decode_worker_ids

        # Run the progressive requests
        prefill_ids, decode_ids = asyncio.run(send_progressive_requests())

        logger.info(f"Collected prefill_worker_ids: {prefill_ids}")
        logger.info(f"Collected decode_worker_ids: {decode_ids}")

        # Verify we got worker IDs from all requests
        assert len(prefill_ids) == 4, (
            f"Expected 4 prefill_worker_ids, got {len(prefill_ids)}. "
            f"Make sure nvext.extra_fields=['worker_id'] is being processed."
        )

        # Verify prefix reuse behavior.
        #
        # In JetStream (KV events enabled) mode, the router learns cache state from KV events.
        # With the TCP request plane, we can observe a transient on the *first* request where
        # the second request is routed before the first request's KV "stored" events have been
        # fully ingested. After ingestion, routing stabilizes.
        #
        # So for TCP we assert that requests 2-4 converge to the same prefill worker; for NATS
        # request plane we keep the stronger assertion that all 4 match.
        if request_plane == "tcp":
            unique_prefill_ids = set(prefill_ids[1:])
            assert len(unique_prefill_ids) == 1, (
                f"Expected prefill requests 2-4 to route to the same worker due to prefix reuse, "
                f"but found {len(unique_prefill_ids)} unique prefill_worker_ids: {unique_prefill_ids}. "
                f"Full list: {prefill_ids}"
            )
        else:
            unique_prefill_ids = set(prefill_ids)
            assert len(unique_prefill_ids) == 1, (
                f"Expected all prefill requests to route to the same worker due to prefix reuse, "
                f"but found {len(unique_prefill_ids)} unique prefill_worker_ids: {unique_prefill_ids}. "
                f"Full list: {prefill_ids}"
            )

        # Verify prefill_worker_id is NOT in decode_worker_ids (true disagg)
        unique_decode_ids = set(decode_ids)
        prefill_id = prefill_ids[0]
        assert prefill_id not in unique_decode_ids, (
            f"Prefill worker {prefill_id} should NOT be in decode workers {unique_decode_ids}. "
            f"This suggests disaggregated mode is not working correctly - "
            f"prefill and decode should use separate worker pools."
        )

        logger.info(
            f"Successfully verified disaggregated routing:\n"
            f"  - All 4 requests routed to same prefill_worker_id={prefill_id} (prefix reuse)\n"
            f"  - Prefill worker is NOT in decode worker set {unique_decode_ids} (true disagg)"
        )


def _test_router_decisions(
    engine_workers,
    endpoint,
    model_name: str,
    request,
    test_dp_rank: bool = False,
    block_size: int = 8,
    use_kv_events: bool = True,
    durable_kv_events: bool = False,
    router_event_threads: int = 4,
):
    """Validate cross-worker routing decisions based on longest prefix match and tree-size tiebreaking.

    Assumes engine workers are already initialized.
    Seeds two routing targets (worker a and worker b) with different prefix trees,
    then verifies the router picks the correct worker for subsequent requests.

    Test sequence (7 blocks A-G, each block_size tokens, 5 requests):
    1. [A, B]       → force worker a        (seed worker a's tree)
    2. [A, C, D]    → force worker a        (branch under A on worker a)
    3. [A, C, E]    → force worker b        (seed worker b's tree)
    4. [A, C, D, F] → router picks          (worker a wins: prefix [A,C,D]=3 vs worker b [A,C]=2)
    5. [A, C, G]    → router picks          (tie on [A,C], worker b wins by smaller tree: 3 vs 5)

    Args:
        engine_workers: Backend worker instance ({MockerProcess, VLLMProcess, TRTLLMProcess}) (already initialized with __enter__())
        endpoint: Endpoint of the engine workers
        model_name: Name of the model
        request: Pytest request fixture
        test_dp_rank: If True, also forces and validates dp_rank routing (for data parallel setups)
        block_size: KV cache block size. Defaults to 8.
        use_kv_events: If True (default), uses KV events from workers. If False, uses
            approximate routing with TTL-based expiration (--no-kv-events mode).
        durable_kv_events: If True, use durable KV events (JetStream). Defaults to False.

    Raises:
        AssertionError: If routing decisions don't match expected prefix/tiebreak logic
    """
    # Create KvRouterConfig with lower snapshot threshold for testing
    kv_router_config = KvRouterConfig(
        router_snapshot_threshold=20,
        use_kv_events=use_kv_events,
        durable_kv_events=durable_kv_events,
        router_event_threads=router_event_threads,
    )
    kv_router = KvRouter(
        endpoint=endpoint,
        block_size=block_size,
        kv_router_config=kv_router_config,
    )

    # Use async to manage the test flow
    async def test_sync():
        # Workers register one instance per process (not per dp_rank)
        expected_num_instances = engine_workers.num_workers

        # Wait for workers to be ready and get their instance IDs
        worker_ids = await wait_for_workers_ready(
            endpoint,
            kv_router,
            expected_num_workers=expected_num_instances,
            model_name=model_name,
        )
        logger.info(f"Workers ready: {worker_ids}")

        # Determine worker a / worker b routing targets
        if len(worker_ids) >= 2:
            worker_a_id = worker_ids[0]
            worker_b_id = worker_ids[1]
        elif len(worker_ids) == 1 and test_dp_rank:
            worker_a_id = worker_ids[0]
            worker_b_id = worker_ids[0]
        else:
            raise AssertionError(
                f"Need at least 2 routing targets but got {len(worker_ids)} worker(s) "
                f"with test_dp_rank={test_dp_rank}"
            )

        dp_rank_a = 0 if test_dp_rank else None
        dp_rank_b = 1 if test_dp_rank else None

        logger.info(
            f"Routing targets: worker_a=(id={worker_a_id}, dp_rank={dp_rank_a}), "
            f"worker_b=(id={worker_b_id}, dp_rank={dp_rank_b})"
        )

        # Generate 7 random blocks (A-G)
        num_blocks = 7
        blocks = [
            [random.randint(1, 10000) for _ in range(block_size)]
            for _ in range(num_blocks)
        ]
        A, B, C, D, E, F, G = blocks

        # 5 requests with specific prefix structure
        request_specs = [
            # (token_ids, forced_worker_id, forced_dp_rank, sleep_after)
            (A + B, worker_a_id, dp_rank_a, 0.1),  # req1: seed worker a
            (
                A + C + D,
                worker_a_id,
                dp_rank_a,
                0.1,
            ),  # req2: branch under A on worker a
            (A + C + E, worker_b_id, dp_rank_b, 2.0),  # req3: seed worker b
            (
                A + C + D + F,
                None,
                None,
                2.0,
            ),  # req4: router picks (worker a should win)
            (A + C + G, None, None, 2.0),  # req5: router picks (worker b should win)
        ]

        response_worker_ids: list[dict[str, Optional[int]]] = []

        for i, (token_ids, wid_override, dp_override, sleep_after) in enumerate(
            request_specs
        ):
            log_msg = f"Sending request {i + 1}/5 with {len(token_ids)} tokens"
            if wid_override is not None:
                log_msg += f" - FORCING worker_id={wid_override}"
                if dp_override is not None:
                    log_msg += f", dp_rank={dp_override}"
            logger.info(log_msg)

            result = await send_request_via_python_kv_router(
                kv_python_router=kv_router,
                model_name=model_name,
                token_ids=token_ids,
                initial_wait=1.0,
                max_retries=8,
                stop_conditions={
                    "ignore_eos": True,
                    "max_tokens": 2,
                },
                worker_id=wid_override,
                dp_rank=dp_override,
                return_worker_ids=True,
            )
            assert isinstance(result, dict), f"Expected dict result, got {type(result)}"
            response_worker_ids.append(result)
            logger.info(
                f"Request {i + 1} response: prefill_worker_id={result.get('prefill_worker_id')}, "
                f"decode_worker_id={result.get('decode_worker_id')}, "
                f"prefill_dp_rank={result.get('prefill_dp_rank')}, "
                f"decode_dp_rank={result.get('decode_dp_rank')}"
            )

            if sleep_after > 0:
                await asyncio.sleep(sleep_after)

        events_json = await kv_router.dump_events()
        return (
            events_json,
            worker_a_id,
            worker_b_id,
            dp_rank_a,
            dp_rank_b,
            response_worker_ids,
        )

    # Run the async test
    (
        events_json,
        worker_a_id,
        worker_b_id,
        dp_rank_a,
        dp_rank_b,
        response_worker_ids,
    ) = asyncio.run(test_sync())

    # Verify request 4 routed to worker a (longest prefix match)
    req4 = response_worker_ids[3]
    assert req4["prefill_worker_id"] == worker_a_id, (
        f"Request 4: expected prefill_worker_id={worker_a_id} (longest prefix match), "
        f"got {req4['prefill_worker_id']}"
    )
    if test_dp_rank:
        assert (
            req4["prefill_dp_rank"] == dp_rank_a
        ), f"Request 4: expected prefill_dp_rank={dp_rank_a}, got {req4['prefill_dp_rank']}"

    # Verify request 5 routed to worker b (tiebreak by smaller tree)
    req5 = response_worker_ids[4]
    assert req5["prefill_worker_id"] == worker_b_id, (
        f"Request 5: expected prefill_worker_id={worker_b_id} (tiebreak by smaller tree), "
        f"got {req5['prefill_worker_id']}"
    )
    if test_dp_rank:
        assert (
            req5["prefill_dp_rank"] == dp_rank_b
        ), f"Request 5: expected prefill_dp_rank={dp_rank_b}, got {req5['prefill_dp_rank']}"

    logger.info(
        f"Response routing verified: req4 → worker_a (id={worker_a_id}, dp_rank={dp_rank_a}), "
        f"req5 → worker_b (id={worker_b_id}, dp_rank={dp_rank_b})"
    )

    # Parse events and verify event counts per routing target
    events = json.loads(events_json)

    # Always group by (worker_id, dp_rank)
    events_by_key: dict[tuple[int, int], list[Any]] = {}
    for event in events:
        worker_id = event.get("worker_id")
        dp_rank = event.get("event", {}).get("dp_rank", 0)
        key = (worker_id, dp_rank)
        if key not in events_by_key:
            events_by_key[key] = []
        events_by_key[key].append(event)

    logger.info(
        f"Events by (worker_id, dp_rank): {[(key, len(evts)) for key, evts in events_by_key.items()]}"
    )

    # Worker a key: 5 events (A, B from req1; C, D from req2; F from req4)
    worker_a_key = (worker_a_id, dp_rank_a if dp_rank_a is not None else 0)
    worker_a_events = len(events_by_key.get(worker_a_key, []))
    assert worker_a_events == 5, (
        f"Expected worker_a {worker_a_key} to have 5 events (A,B + C,D + F), "
        f"but found {worker_a_events}"
    )

    # Worker b key: 4 events (A, C, E from req3; G from req5)
    worker_b_key = (worker_b_id, dp_rank_b if dp_rank_b is not None else 0)
    worker_b_events = len(events_by_key.get(worker_b_key, []))
    assert worker_b_events == 4, (
        f"Expected worker_b {worker_b_key} to have 4 events (A,C,E + G), "
        f"but found {worker_b_events}"
    )

    logger.info(
        f"Successfully verified cross-worker routing: "
        f"worker_a {worker_a_key} has {worker_a_events} events, "
        f"worker_b {worker_b_key} has {worker_b_events} events"
    )


def _test_busy_threshold_endpoint(
    engine_workers,
    block_size: int,
    request,
    frontend_port: int,
    test_payload: dict,
    store_backend: str = "etcd",
    request_plane: str = "nats",
):
    """Test that the /busy_threshold endpoint can be hit and responds correctly.

    TODO: This doesn't actually test any e2e rejection for now. A proper test would:
    1. Set a very low threshold
    2. Send enough requests to exceed the threshold
    3. Verify that subsequent requests are rejected with 503

    For now, this test only verifies the endpoint is accessible and returns valid responses.

    Args:
        engine_workers: MockerProcess instance (already initialized with __enter__())
        block_size: Block size for KV cache
        request: Pytest request fixture for managing resources
        frontend_port: Port for the frontend HTTP server
        test_payload: Base test payload (used to extract model name)
        store_backend: Storage backend to use ("etcd" or "file"). Defaults to "etcd".
        request_plane: Request plane to use ("nats" or "tcp"). Defaults to "nats".

    Raises:
        AssertionError: If endpoint responses are incorrect
    """
    # Initial thresholds - we need to start with these so the monitor is created
    initial_active_decode_blocks_threshold = 0.9
    initial_active_prefill_tokens_threshold = 1000  # Literal token count threshold

    with KVRouterProcess(
        request,
        block_size,
        frontend_port,
        engine_workers.namespace,
        store_backend,
        blocks_threshold=initial_active_decode_blocks_threshold,
        tokens_threshold=initial_active_prefill_tokens_threshold,
        request_plane=request_plane,
    ):
        # Start KV router frontend with initial thresholds to create monitor
        logger.info(f"Starting KV router frontend on port {frontend_port}")

        frontend_url = f"http://localhost:{frontend_port}"
        busy_threshold_url = f"{frontend_url}/busy_threshold"

        # Wait for workers to register with frontend
        logger.info("Waiting for workers to register with frontend...")
        asyncio.run(
            wait_for_frontend_ready(
                frontend_url=frontend_url,
                expected_num_workers=engine_workers.num_workers,
                timeout=120,
            )
        )

        model_name = test_payload.get("model", "test-model")

        async def test_busy_threshold_api():
            async with aiohttp.ClientSession() as session:
                # Test 1: GET /busy_threshold - list all thresholds
                logger.info("Testing GET /busy_threshold (list all)")
                async with session.get(busy_threshold_url) as response:
                    assert (
                        response.status == 200
                    ), f"GET /busy_threshold failed with status {response.status}"
                    data = await response.json()
                    assert (
                        "thresholds" in data
                    ), f"Expected 'thresholds' key in response: {data}"
                    logger.info(f"GET /busy_threshold response: {data}")

                # Test 2: POST /busy_threshold with model only (get thresholds)
                logger.info(
                    f"Testing POST /busy_threshold to get thresholds for model '{model_name}'"
                )
                async with session.post(
                    busy_threshold_url,
                    json={"model": model_name},
                ) as response:
                    assert (
                        response.status == 200
                    ), f"POST /busy_threshold (get) failed with status {response.status}"
                    data = await response.json()
                    assert (
                        data.get("active_decode_blocks_threshold")
                        == initial_active_decode_blocks_threshold
                    ), f"Expected initial active_decode_blocks_threshold={initial_active_decode_blocks_threshold}: {data}"
                    assert (
                        data.get("active_prefill_tokens_threshold")
                        == initial_active_prefill_tokens_threshold
                    ), f"Expected initial active_prefill_tokens_threshold={initial_active_prefill_tokens_threshold}: {data}"
                    logger.info(
                        f"POST /busy_threshold (get) response: status={response.status}, data={data}"
                    )

                # Test 3: POST /busy_threshold to set active_decode_blocks_threshold only
                test_active_decode_blocks_threshold = 0.75
                logger.info(
                    f"Testing POST /busy_threshold to set active_decode_blocks_threshold={test_active_decode_blocks_threshold}"
                )
                async with session.post(
                    busy_threshold_url,
                    json={
                        "model": model_name,
                        "active_decode_blocks_threshold": test_active_decode_blocks_threshold,
                    },
                ) as response:
                    assert (
                        response.status == 200
                    ), f"POST /busy_threshold (set blocks) failed with status {response.status}"
                    data = await response.json()
                    assert (
                        data.get("model") == model_name
                    ), f"Expected model={model_name}: {data}"
                    assert (
                        data.get("active_decode_blocks_threshold")
                        == test_active_decode_blocks_threshold
                    ), f"Expected active_decode_blocks_threshold={test_active_decode_blocks_threshold}: {data}"
                    logger.info(f"POST /busy_threshold (set blocks) response: {data}")

                # Test 4: POST /busy_threshold to set active_prefill_tokens_threshold only
                test_active_prefill_tokens_threshold = (
                    2000  # Literal token count threshold
                )
                logger.info(
                    f"Testing POST /busy_threshold to set active_prefill_tokens_threshold={test_active_prefill_tokens_threshold}"
                )
                async with session.post(
                    busy_threshold_url,
                    json={
                        "model": model_name,
                        "active_prefill_tokens_threshold": test_active_prefill_tokens_threshold,
                    },
                ) as response:
                    assert (
                        response.status == 200
                    ), f"POST /busy_threshold (set tokens) failed with status {response.status}"
                    data = await response.json()
                    assert (
                        data.get("active_prefill_tokens_threshold")
                        == test_active_prefill_tokens_threshold
                    ), f"Expected active_prefill_tokens_threshold={test_active_prefill_tokens_threshold}: {data}"
                    logger.info(f"POST /busy_threshold (set tokens) response: {data}")

                # Test 5: POST /busy_threshold to set both thresholds
                new_active_decode_blocks_threshold = 0.5
                new_active_prefill_tokens_threshold = (
                    1200  # Literal token count threshold
                )
                logger.info(
                    f"Testing POST /busy_threshold to set both thresholds: "
                    f"active_decode_blocks={new_active_decode_blocks_threshold}, active_prefill_tokens={new_active_prefill_tokens_threshold}"
                )
                async with session.post(
                    busy_threshold_url,
                    json={
                        "model": model_name,
                        "active_decode_blocks_threshold": new_active_decode_blocks_threshold,
                        "active_prefill_tokens_threshold": new_active_prefill_tokens_threshold,
                    },
                ) as response:
                    assert (
                        response.status == 200
                    ), f"POST /busy_threshold (set both) failed with status {response.status}"
                    data = await response.json()
                    assert (
                        data.get("active_decode_blocks_threshold")
                        == new_active_decode_blocks_threshold
                    ), f"Expected active_decode_blocks_threshold={new_active_decode_blocks_threshold}: {data}"
                    assert (
                        data.get("active_prefill_tokens_threshold")
                        == new_active_prefill_tokens_threshold
                    ), f"Expected active_prefill_tokens_threshold={new_active_prefill_tokens_threshold}: {data}"
                    logger.info(f"POST /busy_threshold (set both) response: {data}")

                # Test 6: GET /busy_threshold - verify thresholds appear in list
                logger.info("Testing GET /busy_threshold to verify thresholds in list")
                async with session.get(busy_threshold_url) as response:
                    assert (
                        response.status == 200
                    ), f"GET /busy_threshold failed with status {response.status}"
                    data = await response.json()
                    thresholds = data.get("thresholds", [])
                    model_entry = next(
                        (t for t in thresholds if t["model"] == model_name), None
                    )
                    assert (
                        model_entry is not None
                    ), f"Expected model '{model_name}' in thresholds: {data}"
                    assert (
                        model_entry.get("active_decode_blocks_threshold")
                        == new_active_decode_blocks_threshold
                    ), f"Expected active_decode_blocks_threshold={new_active_decode_blocks_threshold}: {data}"
                    assert (
                        model_entry.get("active_prefill_tokens_threshold")
                        == new_active_prefill_tokens_threshold
                    ), f"Expected active_prefill_tokens_threshold={new_active_prefill_tokens_threshold}: {data}"
                    logger.info(f"GET /busy_threshold (after set) response: {data}")

                # Test 7: Invalid active_decode_blocks_threshold value (should fail validation)
                logger.info(
                    "Testing POST /busy_threshold with invalid active_decode_blocks_threshold (>1.0)"
                )
                async with session.post(
                    busy_threshold_url,
                    json={"model": model_name, "active_decode_blocks_threshold": 1.5},
                ) as response:
                    assert (
                        response.status == 400
                    ), f"Expected 400 for invalid active_decode_blocks_threshold, got {response.status}"
                    data = await response.json()
                    logger.info(
                        f"POST /busy_threshold (invalid blocks) response: {data}"
                    )

                # Test 8: active_prefill_tokens_threshold accepts large values (should be valid)
                logger.info(
                    "Testing POST /busy_threshold with large active_prefill_tokens_threshold (valid)"
                )
                async with session.post(
                    busy_threshold_url,
                    json={"model": model_name, "active_prefill_tokens_threshold": 5000},
                ) as response:
                    assert (
                        response.status == 200
                    ), f"Expected 200 for large active_prefill_tokens_threshold, got {response.status}"
                    data = await response.json()
                    assert (
                        data.get("active_prefill_tokens_threshold") == 5000
                    ), f"Expected active_prefill_tokens_threshold=5000: {data}"
                    logger.info(
                        f"POST /busy_threshold (large tokens threshold) response: {data}"
                    )

                # Test 9: Invalid active_prefill_tokens_threshold value (should fail validation for < 0)
                # Note: Returns 422 because -1.0 can't be deserialized into u64 (type validation)
                # vs Test 7 which returns 400 because 1.5 is a valid f64 but fails range validation
                logger.info(
                    "Testing POST /busy_threshold with invalid active_prefill_tokens_threshold (< 0)"
                )
                async with session.post(
                    busy_threshold_url,
                    json={"model": model_name, "active_prefill_tokens_threshold": -1.0},
                ) as response:
                    assert (
                        response.status == 422
                    ), f"Expected 422 for negative active_prefill_tokens_threshold, got {response.status}"
                    data = await response.json()
                    logger.info(
                        f"POST /busy_threshold (invalid tokens) response: {data}"
                    )

                # Test 10: Set active_prefill_tokens_threshold_frac (fraction of max_num_batched_tokens)
                test_frac_threshold = 0.8
                logger.info(
                    f"Testing POST /busy_threshold to set active_prefill_tokens_threshold_frac={test_frac_threshold}"
                )
                async with session.post(
                    busy_threshold_url,
                    json={
                        "model": model_name,
                        "active_prefill_tokens_threshold_frac": test_frac_threshold,
                    },
                ) as response:
                    assert (
                        response.status == 200
                    ), f"POST /busy_threshold (set frac) failed with status {response.status}"
                    data = await response.json()
                    assert (
                        data.get("active_prefill_tokens_threshold_frac")
                        == test_frac_threshold
                    ), f"Expected active_prefill_tokens_threshold_frac={test_frac_threshold}: {data}"
                    logger.info(f"POST /busy_threshold (set frac) response: {data}")

                # Test 11: Verify frac threshold appears in GET /busy_threshold list
                logger.info(
                    "Testing GET /busy_threshold to verify frac threshold in list"
                )
                async with session.get(busy_threshold_url) as response:
                    assert (
                        response.status == 200
                    ), f"GET /busy_threshold failed with status {response.status}"
                    data = await response.json()
                    thresholds = data.get("thresholds", [])
                    model_entry = next(
                        (t for t in thresholds if t["model"] == model_name), None
                    )
                    assert (
                        model_entry is not None
                    ), f"Expected model '{model_name}' in thresholds: {data}"
                    assert (
                        model_entry.get("active_prefill_tokens_threshold_frac")
                        == test_frac_threshold
                    ), f"Expected active_prefill_tokens_threshold_frac={test_frac_threshold}: {data}"
                    logger.info(
                        f"GET /busy_threshold (after set frac) response: {data}"
                    )

                logger.info("All busy_threshold endpoint tests passed!")

        asyncio.run(test_busy_threshold_api())
