<?xml version="1.0" encoding="utf-8"?><testsuites><testsuite name="pytest" errors="1" failures="9" skipped="3" tests="27" time="5924.094" timestamp="2026-07-01T18:49:23.473040" hostname="kserve-group-test-6gd7p-e2e-llm-inference-service-pod"><testcase classname="" name="explainer.test_art_explainer" time="0.000"><skipped message="collection skipped">('/workspace/source/test/e2e/explainer/test_art_explainer.py', 38, 'Skipped: ODH does not support art explainer at the moment')</skipped></testcase><testcase classname="" name="predictor.test_grpc" time="0.000"><skipped message="collection skipped">('/workspace/source/test/e2e/predictor/test_grpc.py', 35, 'Skipped: Not testable in ODH at the moment')</skipped></testcase><testcase classname="" name="predictor.test_torchserve" time="0.000"><skipped message="collection skipped">('/workspace/source/test/e2e/predictor/test_torchserve.py', 34, 'Skipped: ODH does not support torchserve at the moment')</skipped></testcase><testcase classname="llmisvc.test_gateway_section_name" name="test_gateway_section_name_propagation[cluster_single_node-cluster_cpu-with-section-name]" time="9.681" /><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-precise-prefix-cache-inline-config-workload-llmd-simulator-kvcache]" time="127.134" /><testcase classname="llmisvc.test_gateway_section_name" name="test_gateway_section_name_propagation[cluster_single_node-cluster_cpu-without-section-name]" time="38.604" /><testcase classname="llmisvc.test_llm_auth" name="test_llm_auth_enabled_requires_token[cluster_cpu-cluster_single_node-auth-enabled-default]" time="206.101" /><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator0]" time="75.942" /><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator1]" time="153.603" /><testcase classname="llmisvc.test_llm_auth" name="test_llm_auth_invalid_token_rejected[cluster_cpu-cluster_single_node-auth-invalid-token]" time="164.177" /><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator2]" time="151.150" /><testcase classname="llmisvc.test_llm_auth" name="test_llm_auth_disabled_no_token_required[cluster_cpu-cluster_single_node-auth-disabled]" time="223.120"><failure message="requests.exceptions.ReadTimeout: HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)">self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7efccea2b150&gt;
conn = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7efcce7b4f90&gt;
method = 'POST', url = '/kserve-ci-e2e-test/auth-disabled-test/v1/completions'
body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'}
retries = Retry(total=0, connect=None, read=False, redirect=None, status=None)
timeout = Timeout(connect=60, read=60, total=None), chunked = False
response_conn = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7efcce7b4f90&gt;
preload_content = False, decode_content = False, enforce_content_length = True

    def _make_request(
        self,
        conn: BaseHTTPConnection,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | None = None,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        chunked: bool = False,
        response_conn: BaseHTTPConnection | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        enforce_content_length: bool = True,
    ) -&gt; BaseHTTPResponse:
        """
        Perform a request on a given urllib connection object taken from our
        pool.
    
        :param conn:
            a connection from one of our connection pools
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            Pass ``None`` to retry until you receive a response. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param response_conn:
            Set this to ``None`` if you will handle releasing the connection or
            set the connection to have the response release it.
    
        :param preload_content:
          If True, the response's body will be preloaded during construction.
    
        :param decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param enforce_content_length:
            Enforce content length checking. Body returned by server must match
            value of Content-Length header, if present. Otherwise, raise error.
        """
        self.num_requests += 1
    
        timeout_obj = self._get_timeout(timeout)
        timeout_obj.start_connect()
        conn.timeout = Timeout.resolve_default_timeout(timeout_obj.connect_timeout)
    
        try:
            # Trigger any extra validation we need to do.
            try:
                self._validate_conn(conn)
            except (SocketTimeout, BaseSSLError) as e:
                self._raise_timeout(err=e, url=url, timeout_value=conn.timeout)
                raise
    
        # _validate_conn() starts the connection to an HTTPS proxy
        # so we need to wrap errors with 'ProxyError' here too.
        except (
            OSError,
            NewConnectionError,
            TimeoutError,
            BaseSSLError,
            CertificateError,
            SSLError,
        ) as e:
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            # If the connection didn't successfully connect to it's proxy
            # then there
            if isinstance(
                new_e, (OSError, NewConnectionError, TimeoutError, SSLError)
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            raise new_e
    
        # conn.request() calls http.client.*.request, not the method in
        # urllib3.request. It also calls makefile (recv) on the socket.
        try:
            conn.request(
                method,
                url,
                body=body,
                headers=headers,
                chunked=chunked,
                preload_content=preload_content,
                decode_content=decode_content,
                enforce_content_length=enforce_content_length,
            )
    
        # We are swallowing BrokenPipeError (errno.EPIPE) since the server is
        # legitimately able to close the connection after sending a valid response.
        # With this behaviour, the received response is still readable.
        except BrokenPipeError:
            pass
        except OSError as e:
            # MacOS/Linux
            # EPROTOTYPE and ECONNRESET are needed on macOS
            # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/
            # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE.
            if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET:
                raise
    
        # Reset the timeout for the recv() on the socket
        read_timeout = timeout_obj.read_timeout
    
        if not conn.is_closed:
            # In Python 3 socket.py will catch EAGAIN and return None when you
            # try and read into the file pointer created by http.client, which
            # instead raises a BadStatusLine exception. Instead of catching
            # the exception and assuming all BadStatusLine exceptions are read
            # timeouts, check for a zero timeout before making the request.
            if read_timeout == 0:
                raise ReadTimeoutError(
                    self, url, f"Read timed out. (read timeout={read_timeout})"
                )
            conn.timeout = read_timeout
    
        # Receive the response from the server
        try:
&gt;           response = conn.getresponse()

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:534: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7efcce7b4f90&gt;

    def getresponse(  # type: ignore[override]
        self,
    ) -&gt; HTTPResponse:
        """
        Get the response from the server.
    
        If the HTTPConnection is in the correct state, returns an instance of HTTPResponse or of whatever object is returned by the response_class variable.
    
        If a request has not been sent or if a previous response has not be handled, ResponseNotReady is raised. If the HTTP response indicates that the connection should be closed, then it will be closed before the response is returned. When the connection is closed, the underlying socket is closed.
        """
        # Raise the same error as http.client.HTTPConnection
        if self._response_options is None:
            raise ResponseNotReady()
    
        # Reset this attribute for being used again.
        resp_options = self._response_options
        self._response_options = None
    
        # Since the connection's timeout value may have been updated
        # we need to set the timeout on the socket.
        self.sock.settimeout(self.timeout)
    
        # This is needed here to avoid circular import errors
        from .response import HTTPResponse
    
        # Save a reference to the shutdown function before ownership is passed
        # to httplib_response
        # TODO should we implement it everywhere?
        _shutdown = getattr(self.sock, "shutdown", None)
    
        # Get the response from http.client.HTTPConnection
&gt;       httplib_response = super().getresponse()

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connection.py:571: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7efcce7b4f90&gt;

    def getresponse(self):
        """Get the response from the server.
    
        If the HTTPConnection is in the correct state, returns an
        instance of HTTPResponse or of whatever object is returned by
        the response_class variable.
    
        If a request has not been sent or if a previous response has
        not be handled, ResponseNotReady is raised.  If the HTTP
        response indicates that the connection should be closed, then
        it will be closed before the response is returned.  When the
        connection is closed, the underlying socket is closed.
        """
    
        # if a prior response has been completed, then forget about it.
        if self.__response and self.__response.isclosed():
            self.__response = None
    
        # if a prior response exists, then it must be completed (otherwise, we
        # cannot read this response's header to determine the connection-close
        # behavior)
        #
        # note: if a prior response existed, but was connection-close, then the
        # socket and response were made independent of this HTTPConnection
        # object since a new request requires that we open a whole new
        # connection
        #
        # this means the prior response had one of two states:
        #   1) will_close: this connection was reset and the prior socket and
        #                  response operate independently
        #   2) persistent: the response was retained and we await its
        #                  isclosed() status to become true.
        #
        if self.__state != _CS_REQ_SENT or self.__response:
            raise ResponseNotReady(self.__state)
    
        if self.debuglevel &gt; 0:
            response = self.response_class(self.sock, self.debuglevel,
                                           method=self._method)
        else:
            response = self.response_class(self.sock, method=self._method)
    
        try:
            try:
&gt;               response.begin()

/usr/lib64/python3.11/http/client.py:1395: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;http.client.HTTPResponse object at 0x7efccedd2b60&gt;

    def begin(self):
        if self.headers is not None:
            # we've already started reading the response
            return
    
        # read until we get a non-100 response
        while True:
&gt;           version, status, reason = self._read_status()

/usr/lib64/python3.11/http/client.py:325: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;http.client.HTTPResponse object at 0x7efccedd2b60&gt;

    def _read_status(self):
&gt;       line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")

/usr/lib64/python3.11/http/client.py:286: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;socket.SocketIO object at 0x7efccedd3550&gt;
b = &lt;memory at 0x7efcce9d9e40&gt;

    def readinto(self, b):
        """Read up to len(b) bytes into the writable buffer *b* and return
        the number of bytes read.  If the socket is non-blocking and no bytes
        are available, None is returned.
    
        If *b* is non-empty, a 0 return value indicates that the connection
        was shutdown at the other end.
        """
        self._checkClosed()
        self._checkReadable()
        if self._timeout_occurred:
            raise OSError("cannot read from timed out object")
        while True:
            try:
&gt;               return self._sock.recv_into(b)
E               TimeoutError: timed out

/usr/lib64/python3.11/socket.py:718: TimeoutError

The above exception was the direct cause of the following exception:

self = &lt;requests.adapters.HTTPAdapter object at 0x7efcce7d9f10&gt;
request = &lt;PreparedRequest [POST]&gt;, stream = False
timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt'
cert = None, proxies = OrderedDict()

    def send(
        self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None
    ):
        """Sends PreparedRequest object. Returns Response object.
    
        :param request: The :class:`PreparedRequest &lt;PreparedRequest&gt;` being sent.
        :param stream: (optional) Whether to stream the request content.
        :param timeout: (optional) How long to wait for the server to send
            data before giving up, as a float, or a :ref:`(connect timeout,
            read timeout) &lt;timeouts&gt;` tuple.
        :type timeout: float or tuple or urllib3 Timeout object
        :param verify: (optional) Either a boolean, in which case it controls whether
            we verify the server's TLS certificate, or a string, in which case it
            must be a path to a CA bundle to use
        :param cert: (optional) Any user-provided SSL certificate to be trusted.
        :param proxies: (optional) The proxies dictionary to apply to the request.
        :rtype: requests.Response
        """
    
        try:
            conn = self.get_connection_with_tls_context(
                request, verify, proxies=proxies, cert=cert
            )
        except LocationValueError as e:
            raise InvalidURL(e, request=request)
    
        self.cert_verify(conn, request.url, verify, cert)
        url = self.request_url(request, proxies)
        self.add_headers(
            request,
            stream=stream,
            timeout=timeout,
            verify=verify,
            cert=cert,
            proxies=proxies,
        )
    
        chunked = not (request.body is None or "Content-Length" in request.headers)
    
        if isinstance(timeout, tuple):
            try:
                connect, read = timeout
                timeout = TimeoutSauce(connect=connect, read=read)
            except ValueError:
                raise ValueError(
                    f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, "
                    f"or a single float to set both timeouts to the same value."
                )
        elif isinstance(timeout, TimeoutSauce):
            pass
        else:
            timeout = TimeoutSauce(connect=timeout, read=timeout)
    
        try:
&gt;           resp = conn.urlopen(
                method=request.method,
                url=url,
                body=request.body,
                headers=request.headers,
                redirect=False,
                assert_same_host=False,
                preload_content=False,
                decode_content=False,
                retries=self.max_retries,
                timeout=timeout,
                chunked=chunked,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:667: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7efccea2b150&gt;
method = 'POST', url = '/kserve-ci-e2e-test/auth-disabled-test/v1/completions'
body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'}
retries = Retry(total=0, connect=None, read=False, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/auth-disabled-test/v1/completions', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False, err = None, clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
&gt;           retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:841: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = Retry(total=0, connect=None, read=False, redirect=None, status=None)
method = 'POST', url = '/kserve-ci-e2e-test/auth-disabled-test/v1/completions'
response = None
error = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
_pool = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7efccea2b150&gt;
_stacktrace = &lt;traceback object at 0x7efcce7b4380&gt;

    def increment(
        self,
        method: str | None = None,
        url: str | None = None,
        response: BaseHTTPResponse | None = None,
        error: Exception | None = None,
        _pool: ConnectionPool | None = None,
        _stacktrace: TracebackType | None = None,
    ) -&gt; Self:
        """Return a new Retry object with incremented retry counters.
    
        :param response: A response object, or None, if the server did not
            return a response.
        :type response: :class:`~urllib3.response.BaseHTTPResponse`
        :param Exception error: An error encountered during the request, or
            None if the response was received successfully.
    
        :return: A new ``Retry`` object.
        """
        if self.total is False and error:
            # Disabled, indicate to re-raise the error.
            raise reraise(type(error), error, _stacktrace)
    
        total = self.total
        if total is not None:
            total -= 1
    
        connect = self.connect
        read = self.read
        redirect = self.redirect
        status_count = self.status
        other = self.other
        cause = "unknown"
        status = None
        redirect_location = None
    
        if error and self._is_connection_error(error):
            # Connect retry?
            if connect is False:
                raise reraise(type(error), error, _stacktrace)
            elif connect is not None:
                connect -= 1
    
        elif error and self._is_read_error(error):
            # Read retry?
            if read is False or method is None or not self._is_method_retryable(method):
&gt;               raise reraise(type(error), error, _stacktrace)

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/util/retry.py:474: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

tp = &lt;class 'urllib3.exceptions.ReadTimeoutError'&gt;, value = None, tb = None

    def reraise(
        tp: type[BaseException] | None,
        value: BaseException,
        tb: TracebackType | None = None,
    ) -&gt; typing.NoReturn:
        try:
            if value.__traceback__ is not tb:
                raise value.with_traceback(tb)
&gt;           raise value

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/util/util.py:39: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7efccea2b150&gt;
method = 'POST', url = '/kserve-ci-e2e-test/auth-disabled-test/v1/completions'
body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'}
retries = Retry(total=0, connect=None, read=False, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/auth-disabled-test/v1/completions', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False, err = None, clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
&gt;           response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:787: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7efccea2b150&gt;
conn = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7efcce7b4f90&gt;
method = 'POST', url = '/kserve-ci-e2e-test/auth-disabled-test/v1/completions'
body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'}
retries = Retry(total=0, connect=None, read=False, redirect=None, status=None)
timeout = Timeout(connect=60, read=60, total=None), chunked = False
response_conn = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7efcce7b4f90&gt;
preload_content = False, decode_content = False, enforce_content_length = True

    def _make_request(
        self,
        conn: BaseHTTPConnection,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | None = None,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        chunked: bool = False,
        response_conn: BaseHTTPConnection | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        enforce_content_length: bool = True,
    ) -&gt; BaseHTTPResponse:
        """
        Perform a request on a given urllib connection object taken from our
        pool.
    
        :param conn:
            a connection from one of our connection pools
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            Pass ``None`` to retry until you receive a response. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param response_conn:
            Set this to ``None`` if you will handle releasing the connection or
            set the connection to have the response release it.
    
        :param preload_content:
          If True, the response's body will be preloaded during construction.
    
        :param decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param enforce_content_length:
            Enforce content length checking. Body returned by server must match
            value of Content-Length header, if present. Otherwise, raise error.
        """
        self.num_requests += 1
    
        timeout_obj = self._get_timeout(timeout)
        timeout_obj.start_connect()
        conn.timeout = Timeout.resolve_default_timeout(timeout_obj.connect_timeout)
    
        try:
            # Trigger any extra validation we need to do.
            try:
                self._validate_conn(conn)
            except (SocketTimeout, BaseSSLError) as e:
                self._raise_timeout(err=e, url=url, timeout_value=conn.timeout)
                raise
    
        # _validate_conn() starts the connection to an HTTPS proxy
        # so we need to wrap errors with 'ProxyError' here too.
        except (
            OSError,
            NewConnectionError,
            TimeoutError,
            BaseSSLError,
            CertificateError,
            SSLError,
        ) as e:
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            # If the connection didn't successfully connect to it's proxy
            # then there
            if isinstance(
                new_e, (OSError, NewConnectionError, TimeoutError, SSLError)
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            raise new_e
    
        # conn.request() calls http.client.*.request, not the method in
        # urllib3.request. It also calls makefile (recv) on the socket.
        try:
            conn.request(
                method,
                url,
                body=body,
                headers=headers,
                chunked=chunked,
                preload_content=preload_content,
                decode_content=decode_content,
                enforce_content_length=enforce_content_length,
            )
    
        # We are swallowing BrokenPipeError (errno.EPIPE) since the server is
        # legitimately able to close the connection after sending a valid response.
        # With this behaviour, the received response is still readable.
        except BrokenPipeError:
            pass
        except OSError as e:
            # MacOS/Linux
            # EPROTOTYPE and ECONNRESET are needed on macOS
            # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/
            # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE.
            if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET:
                raise
    
        # Reset the timeout for the recv() on the socket
        read_timeout = timeout_obj.read_timeout
    
        if not conn.is_closed:
            # In Python 3 socket.py will catch EAGAIN and return None when you
            # try and read into the file pointer created by http.client, which
            # instead raises a BadStatusLine exception. Instead of catching
            # the exception and assuming all BadStatusLine exceptions are read
            # timeouts, check for a zero timeout before making the request.
            if read_timeout == 0:
                raise ReadTimeoutError(
                    self, url, f"Read timed out. (read timeout={read_timeout})"
                )
            conn.timeout = read_timeout
    
        # Receive the response from the server
        try:
            response = conn.getresponse()
        except (BaseSSLError, OSError) as e:
&gt;           self._raise_timeout(err=e, url=url, timeout_value=read_timeout)

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:536: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7efccea2b150&gt;
err = TimeoutError('timed out')
url = '/kserve-ci-e2e-test/auth-disabled-test/v1/completions'
timeout_value = 60

    def _raise_timeout(
        self,
        err: BaseSSLError | OSError | SocketTimeout,
        url: str,
        timeout_value: _TYPE_TIMEOUT | None,
    ) -&gt; None:
        """Is the error actually a timeout? Will raise a ReadTimeout or pass"""
    
        if isinstance(err, SocketTimeout):
&gt;           raise ReadTimeoutError(
                self, url, f"Read timed out. (read timeout={timeout_value})"
            ) from err
E           urllib3.exceptions.ReadTimeoutError: HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:367: ReadTimeoutError

During handling of the above exception, another exception occurred:

test_case = TestCase(base_refs=['router-auth-disabled', 'workload-single-cpu', 'model-fb-opt-125m'], prompt='KServe is a', service...              {'name': 'model-fb-opt-125m-auth-disabled-56d5b5f3'}]},
 'status': None}, model_name='facebook/opt-125m')

    @pytest.mark.llminferenceservice
    @pytest.mark.auth
    @pytest.mark.parametrize(
        "test_case",
        [
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-auth-disabled",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="auth-disabled-test",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                ],
                id="auth-disabled",
            ),
        ],
        indirect=["test_case"],
        ids=generate_test_id,
    )
    @log_execution
    def test_llm_auth_disabled_no_token_required(test_case: TestCase):  # noqa: F811
        """
        Test that when auth is disabled via annotation:
        - Requests WITHOUT token succeed
        """
        inject_k8s_proxy()
    
        kserve_client = KServeClient(
            config_file=os.environ.get("KUBECONFIG", "~/.kube/config"),
            client_configuration=client.Configuration(),
        )
    
        service_name = test_case.llm_service.metadata.name
        test_failed = False
    
        # Add annotation to disable auth
        if not test_case.llm_service.metadata.annotations:
            test_case.llm_service.metadata.annotations = {}
        test_case.llm_service.metadata.annotations[
            "security.opendatahub.io/enable-auth"
        ] = "false"
    
        try:
            # Create LLMInferenceService
            create_llmisvc(kserve_client, test_case.llm_service)
            wait_for_llm_isvc_ready(
                kserve_client, test_case.llm_service, test_case.wait_timeout
            )
    
            service_url = get_llm_service_url(kserve_client, test_case.llm_service)
            completion_url = f"{service_url}/v1/completions"
            test_payload = {
                "model": test_case.model_name,
                "prompt": test_case.prompt,
                "max_tokens": test_case.max_tokens,
            }
    
            # Test: Request WITHOUT token should succeed when auth is disabled.
            # Retry because the anonymous AuthPolicy override (created by the operator when it
            # sees enable-auth=false) may not have propagated to Authorino yet.
            logger.info("Testing request WITHOUT token (should succeed when auth disabled)")
            response_no_token = None
            for attempt in range(24):  # up to ~120s
&gt;               response_no_token = requests.post(
                    completion_url,
                    headers={"Content-Type": "application/json"},
                    json=test_payload,
                    timeout=test_case.response_timeout,
                )

llmisvc/test_llm_auth.py:581: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

url = 'http://a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/auth-disabled-test/v1/completions'
data = None
json = {'max_tokens': 20, 'model': 'facebook/opt-125m', 'prompt': 'KServe is a'}
kwargs = {'headers': {'Content-Type': 'application/json'}, 'timeout': 60}

    def post(url, data=None, json=None, **kwargs):
        r"""Sends a POST request.
    
        :param url: URL for the new :class:`Request` object.
        :param data: (optional) Dictionary, list of tuples, bytes, or file-like
            object to send in the body of the :class:`Request`.
        :param json: (optional) A JSON serializable Python object to send in the body of the :class:`Request`.
        :param \*\*kwargs: Optional arguments that ``request`` takes.
        :return: :class:`Response &lt;Response&gt;` object
        :rtype: requests.Response
        """
    
&gt;       return request("post", url, data=data, json=json, **kwargs)

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/api.py:115: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

method = 'post'
url = 'http://a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/auth-disabled-test/v1/completions'
kwargs = {'data': None, 'headers': {'Content-Type': 'application/json'}, 'json': {'max_tokens': 20, 'model': 'facebook/opt-125m', 'prompt': 'KServe is a'}, 'timeout': 60}
session = &lt;requests.sessions.Session object at 0x7efcce995350&gt;

    def request(method, url, **kwargs):
        """Constructs and sends a :class:`Request &lt;Request&gt;`.
    
        :param method: method for the new :class:`Request` object: ``GET``, ``OPTIONS``, ``HEAD``, ``POST``, ``PUT``, ``PATCH``, or ``DELETE``.
        :param url: URL for the new :class:`Request` object.
        :param params: (optional) Dictionary, list of tuples or bytes to send
            in the query string for the :class:`Request`.
        :param data: (optional) Dictionary, list of tuples, bytes, or file-like
            object to send in the body of the :class:`Request`.
        :param json: (optional) A JSON serializable Python object to send in the body of the :class:`Request`.
        :param headers: (optional) Dictionary of HTTP Headers to send with the :class:`Request`.
        :param cookies: (optional) Dict or CookieJar object to send with the :class:`Request`.
        :param files: (optional) Dictionary of ``'name': file-like-objects`` (or ``{'name': file-tuple}``) for multipart encoding upload.
            ``file-tuple`` can be a 2-tuple ``('filename', fileobj)``, 3-tuple ``('filename', fileobj, 'content_type')``
            or a 4-tuple ``('filename', fileobj, 'content_type', custom_headers)``, where ``'content_type'`` is a string
            defining the content type of the given file and ``custom_headers`` a dict-like object containing additional headers
            to add for the file.
        :param auth: (optional) Auth tuple to enable Basic/Digest/Custom HTTP Auth.
        :param timeout: (optional) How many seconds to wait for the server to send data
            before giving up, as a float, or a :ref:`(connect timeout, read
            timeout) &lt;timeouts&gt;` tuple.
        :type timeout: float or tuple
        :param allow_redirects: (optional) Boolean. Enable/disable GET/OPTIONS/POST/PUT/PATCH/DELETE/HEAD redirection. Defaults to ``True``.
        :type allow_redirects: bool
        :param proxies: (optional) Dictionary mapping protocol to the URL of the proxy.
        :param verify: (optional) Either a boolean, in which case it controls whether we verify
                the server's TLS certificate, or a string, in which case it must be a path
                to a CA bundle to use. Defaults to ``True``.
        :param stream: (optional) if ``False``, the response content will be immediately downloaded.
        :param cert: (optional) if String, path to ssl client cert file (.pem). If Tuple, ('cert', 'key') pair.
        :return: :class:`Response &lt;Response&gt;` object
        :rtype: requests.Response
    
        Usage::
    
          &gt;&gt;&gt; import requests
          &gt;&gt;&gt; req = requests.request('GET', 'https://httpbin.org/get')
          &gt;&gt;&gt; req
          &lt;Response [200]&gt;
        """
    
        # By using the 'with' statement we are sure the session is closed, thus we
        # avoid leaving sockets open which can trigger a ResourceWarning in some
        # cases, and look like a memory leak in others.
        with sessions.Session() as session:
&gt;           return session.request(method=method, url=url, **kwargs)

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/api.py:59: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;requests.sessions.Session object at 0x7efcce995350&gt;, method = 'post'
url = 'http://a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/auth-disabled-test/v1/completions'
params = None, data = None, headers = {'Content-Type': 'application/json'}
cookies = None, files = None, auth = None, timeout = 60, allow_redirects = True
proxies = {}, hooks = None, stream = None, verify = None, cert = None
json = {'max_tokens': 20, 'model': 'facebook/opt-125m', 'prompt': 'KServe is a'}

    def request(
        self,
        method,
        url,
        params=None,
        data=None,
        headers=None,
        cookies=None,
        files=None,
        auth=None,
        timeout=None,
        allow_redirects=True,
        proxies=None,
        hooks=None,
        stream=None,
        verify=None,
        cert=None,
        json=None,
    ):
        """Constructs a :class:`Request &lt;Request&gt;`, prepares it and sends it.
        Returns :class:`Response &lt;Response&gt;` object.
    
        :param method: method for the new :class:`Request` object.
        :param url: URL for the new :class:`Request` object.
        :param params: (optional) Dictionary or bytes to be sent in the query
            string for the :class:`Request`.
        :param data: (optional) Dictionary, list of tuples, bytes, or file-like
            object to send in the body of the :class:`Request`.
        :param json: (optional) json to send in the body of the
            :class:`Request`.
        :param headers: (optional) Dictionary of HTTP Headers to send with the
            :class:`Request`.
        :param cookies: (optional) Dict or CookieJar object to send with the
            :class:`Request`.
        :param files: (optional) Dictionary of ``'filename': file-like-objects``
            for multipart encoding upload.
        :param auth: (optional) Auth tuple or callable to enable
            Basic/Digest/Custom HTTP Auth.
        :param timeout: (optional) How long to wait for the server to send
            data before giving up, as a float, or a :ref:`(connect timeout,
            read timeout) &lt;timeouts&gt;` tuple.
        :type timeout: float or tuple
        :param allow_redirects: (optional) Set to True by default.
        :type allow_redirects: bool
        :param proxies: (optional) Dictionary mapping protocol or protocol and
            hostname to the URL of the proxy.
        :param hooks: (optional) Dictionary mapping hook name to one event or
            list of events, event must be callable.
        :param stream: (optional) whether to immediately download the response
            content. Defaults to ``False``.
        :param verify: (optional) Either a boolean, in which case it controls whether we verify
            the server's TLS certificate, or a string, in which case it must be a path
            to a CA bundle to use. Defaults to ``True``. When set to
            ``False``, requests will accept any TLS certificate presented by
            the server, and will ignore hostname mismatches and/or expired
            certificates, which will make your application vulnerable to
            man-in-the-middle (MitM) attacks. Setting verify to ``False``
            may be useful during local development or testing.
        :param cert: (optional) if String, path to ssl client cert file (.pem).
            If Tuple, ('cert', 'key') pair.
        :rtype: requests.Response
        """
        # Create the Request.
        req = Request(
            method=method.upper(),
            url=url,
            headers=headers,
            files=files,
            data=data or {},
            json=json,
            params=params or {},
            auth=auth,
            cookies=cookies,
            hooks=hooks,
        )
        prep = self.prepare_request(req)
    
        proxies = proxies or {}
    
        settings = self.merge_environment_settings(
            prep.url, proxies, stream, verify, cert
        )
    
        # Send the request.
        send_kwargs = {
            "timeout": timeout,
            "allow_redirects": allow_redirects,
        }
        send_kwargs.update(settings)
&gt;       resp = self.send(prep, **send_kwargs)

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:589: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;requests.sessions.Session object at 0x7efcce995350&gt;
request = &lt;PreparedRequest [POST]&gt;
kwargs = {'cert': None, 'proxies': OrderedDict(), 'stream': False, 'timeout': 60, ...}
allow_redirects = True, stream = False, hooks = {'response': []}
adapter = &lt;requests.adapters.HTTPAdapter object at 0x7efcce7d9f10&gt;
start = 1782932345.688304

    def send(self, request, **kwargs):
        """Send a given PreparedRequest.
    
        :rtype: requests.Response
        """
        # Set defaults that the hooks can utilize to ensure they always have
        # the correct parameters to reproduce the previous request.
        kwargs.setdefault("stream", self.stream)
        kwargs.setdefault("verify", self.verify)
        kwargs.setdefault("cert", self.cert)
        if "proxies" not in kwargs:
            kwargs["proxies"] = resolve_proxies(request, self.proxies, self.trust_env)
    
        # It's possible that users might accidentally send a Request object.
        # Guard against that specific failure case.
        if isinstance(request, Request):
            raise ValueError("You can only send PreparedRequests.")
    
        # Set up variables needed for resolve_redirects and dispatching of hooks
        allow_redirects = kwargs.pop("allow_redirects", True)
        stream = kwargs.get("stream")
        hooks = request.hooks
    
        # Get the appropriate adapter to use
        adapter = self.get_adapter(url=request.url)
    
        # Start time (approximately) of the request
        start = preferred_clock()
    
        # Send the request
&gt;       r = adapter.send(request, **kwargs)

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:703: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;requests.adapters.HTTPAdapter object at 0x7efcce7d9f10&gt;
request = &lt;PreparedRequest [POST]&gt;, stream = False
timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt'
cert = None, proxies = OrderedDict()

    def send(
        self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None
    ):
        """Sends PreparedRequest object. Returns Response object.
    
        :param request: The :class:`PreparedRequest &lt;PreparedRequest&gt;` being sent.
        :param stream: (optional) Whether to stream the request content.
        :param timeout: (optional) How long to wait for the server to send
            data before giving up, as a float, or a :ref:`(connect timeout,
            read timeout) &lt;timeouts&gt;` tuple.
        :type timeout: float or tuple or urllib3 Timeout object
        :param verify: (optional) Either a boolean, in which case it controls whether
            we verify the server's TLS certificate, or a string, in which case it
            must be a path to a CA bundle to use
        :param cert: (optional) Any user-provided SSL certificate to be trusted.
        :param proxies: (optional) The proxies dictionary to apply to the request.
        :rtype: requests.Response
        """
    
        try:
            conn = self.get_connection_with_tls_context(
                request, verify, proxies=proxies, cert=cert
            )
        except LocationValueError as e:
            raise InvalidURL(e, request=request)
    
        self.cert_verify(conn, request.url, verify, cert)
        url = self.request_url(request, proxies)
        self.add_headers(
            request,
            stream=stream,
            timeout=timeout,
            verify=verify,
            cert=cert,
            proxies=proxies,
        )
    
        chunked = not (request.body is None or "Content-Length" in request.headers)
    
        if isinstance(timeout, tuple):
            try:
                connect, read = timeout
                timeout = TimeoutSauce(connect=connect, read=read)
            except ValueError:
                raise ValueError(
                    f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, "
                    f"or a single float to set both timeouts to the same value."
                )
        elif isinstance(timeout, TimeoutSauce):
            pass
        else:
            timeout = TimeoutSauce(connect=timeout, read=timeout)
    
        try:
            resp = conn.urlopen(
                method=request.method,
                url=url,
                body=request.body,
                headers=request.headers,
                redirect=False,
                assert_same_host=False,
                preload_content=False,
                decode_content=False,
                retries=self.max_retries,
                timeout=timeout,
                chunked=chunked,
            )
    
        except (ProtocolError, OSError) as err:
            raise ConnectionError(err, request=request)
    
        except MaxRetryError as e:
            if isinstance(e.reason, ConnectTimeoutError):
                # TODO: Remove this in 3.0.0: see #2811
                if not isinstance(e.reason, NewConnectionError):
                    raise ConnectTimeout(e, request=request)
    
            if isinstance(e.reason, ResponseError):
                raise RetryError(e, request=request)
    
            if isinstance(e.reason, _ProxyError):
                raise ProxyError(e, request=request)
    
            if isinstance(e.reason, _SSLError):
                # This branch is for urllib3 v1.22 and later.
                raise SSLError(e, request=request)
    
            raise ConnectionError(e, request=request)
    
        except ClosedPoolError as e:
            raise ConnectionError(e, request=request)
    
        except _ProxyError as e:
            raise ProxyError(e)
    
        except (_SSLError, _HTTPError) as e:
            if isinstance(e, _SSLError):
                # This branch is for urllib3 versions earlier than v1.22
                raise SSLError(e, request=request)
            elif isinstance(e, ReadTimeoutError):
&gt;               raise ReadTimeout(e, request=request)
E               requests.exceptions.ReadTimeout: HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:713: ReadTimeout</failure></testcase><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf0]" time="1869.332"><failure message="AssertionError: ❌ Failed to call model: HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/completions (Caused by ReadTimeoutError(&quot;HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)&quot;))">self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675d44c10&gt;
conn = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7f3675b54f90&gt;
method = 'POST', url = '/v1/completions'
body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'}
retries = Retry(total=0, connect=None, read=None, redirect=None, status=None)
timeout = Timeout(connect=60, read=60, total=None), chunked = False
response_conn = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7f3675b54f90&gt;
preload_content = False, decode_content = False, enforce_content_length = True

    def _make_request(
        self,
        conn: BaseHTTPConnection,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | None = None,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        chunked: bool = False,
        response_conn: BaseHTTPConnection | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        enforce_content_length: bool = True,
    ) -&gt; BaseHTTPResponse:
        """
        Perform a request on a given urllib connection object taken from our
        pool.
    
        :param conn:
            a connection from one of our connection pools
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            Pass ``None`` to retry until you receive a response. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param response_conn:
            Set this to ``None`` if you will handle releasing the connection or
            set the connection to have the response release it.
    
        :param preload_content:
          If True, the response's body will be preloaded during construction.
    
        :param decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param enforce_content_length:
            Enforce content length checking. Body returned by server must match
            value of Content-Length header, if present. Otherwise, raise error.
        """
        self.num_requests += 1
    
        timeout_obj = self._get_timeout(timeout)
        timeout_obj.start_connect()
        conn.timeout = Timeout.resolve_default_timeout(timeout_obj.connect_timeout)
    
        try:
            # Trigger any extra validation we need to do.
            try:
                self._validate_conn(conn)
            except (SocketTimeout, BaseSSLError) as e:
                self._raise_timeout(err=e, url=url, timeout_value=conn.timeout)
                raise
    
        # _validate_conn() starts the connection to an HTTPS proxy
        # so we need to wrap errors with 'ProxyError' here too.
        except (
            OSError,
            NewConnectionError,
            TimeoutError,
            BaseSSLError,
            CertificateError,
            SSLError,
        ) as e:
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            # If the connection didn't successfully connect to it's proxy
            # then there
            if isinstance(
                new_e, (OSError, NewConnectionError, TimeoutError, SSLError)
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            raise new_e
    
        # conn.request() calls http.client.*.request, not the method in
        # urllib3.request. It also calls makefile (recv) on the socket.
        try:
            conn.request(
                method,
                url,
                body=body,
                headers=headers,
                chunked=chunked,
                preload_content=preload_content,
                decode_content=decode_content,
                enforce_content_length=enforce_content_length,
            )
    
        # We are swallowing BrokenPipeError (errno.EPIPE) since the server is
        # legitimately able to close the connection after sending a valid response.
        # With this behaviour, the received response is still readable.
        except BrokenPipeError:
            pass
        except OSError as e:
            # MacOS/Linux
            # EPROTOTYPE and ECONNRESET are needed on macOS
            # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/
            # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE.
            if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET:
                raise
    
        # Reset the timeout for the recv() on the socket
        read_timeout = timeout_obj.read_timeout
    
        if not conn.is_closed:
            # In Python 3 socket.py will catch EAGAIN and return None when you
            # try and read into the file pointer created by http.client, which
            # instead raises a BadStatusLine exception. Instead of catching
            # the exception and assuming all BadStatusLine exceptions are read
            # timeouts, check for a zero timeout before making the request.
            if read_timeout == 0:
                raise ReadTimeoutError(
                    self, url, f"Read timed out. (read timeout={read_timeout})"
                )
            conn.timeout = read_timeout
    
        # Receive the response from the server
        try:
&gt;           response = conn.getresponse()

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:534: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7f3675b54f90&gt;

    def getresponse(  # type: ignore[override]
        self,
    ) -&gt; HTTPResponse:
        """
        Get the response from the server.
    
        If the HTTPConnection is in the correct state, returns an instance of HTTPResponse or of whatever object is returned by the response_class variable.
    
        If a request has not been sent or if a previous response has not be handled, ResponseNotReady is raised. If the HTTP response indicates that the connection should be closed, then it will be closed before the response is returned. When the connection is closed, the underlying socket is closed.
        """
        # Raise the same error as http.client.HTTPConnection
        if self._response_options is None:
            raise ResponseNotReady()
    
        # Reset this attribute for being used again.
        resp_options = self._response_options
        self._response_options = None
    
        # Since the connection's timeout value may have been updated
        # we need to set the timeout on the socket.
        self.sock.settimeout(self.timeout)
    
        # This is needed here to avoid circular import errors
        from .response import HTTPResponse
    
        # Save a reference to the shutdown function before ownership is passed
        # to httplib_response
        # TODO should we implement it everywhere?
        _shutdown = getattr(self.sock, "shutdown", None)
    
        # Get the response from http.client.HTTPConnection
&gt;       httplib_response = super().getresponse()

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connection.py:571: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7f3675b54f90&gt;

    def getresponse(self):
        """Get the response from the server.
    
        If the HTTPConnection is in the correct state, returns an
        instance of HTTPResponse or of whatever object is returned by
        the response_class variable.
    
        If a request has not been sent or if a previous response has
        not be handled, ResponseNotReady is raised.  If the HTTP
        response indicates that the connection should be closed, then
        it will be closed before the response is returned.  When the
        connection is closed, the underlying socket is closed.
        """
    
        # if a prior response has been completed, then forget about it.
        if self.__response and self.__response.isclosed():
            self.__response = None
    
        # if a prior response exists, then it must be completed (otherwise, we
        # cannot read this response's header to determine the connection-close
        # behavior)
        #
        # note: if a prior response existed, but was connection-close, then the
        # socket and response were made independent of this HTTPConnection
        # object since a new request requires that we open a whole new
        # connection
        #
        # this means the prior response had one of two states:
        #   1) will_close: this connection was reset and the prior socket and
        #                  response operate independently
        #   2) persistent: the response was retained and we await its
        #                  isclosed() status to become true.
        #
        if self.__state != _CS_REQ_SENT or self.__response:
            raise ResponseNotReady(self.__state)
    
        if self.debuglevel &gt; 0:
            response = self.response_class(self.sock, self.debuglevel,
                                           method=self._method)
        else:
            response = self.response_class(self.sock, method=self._method)
    
        try:
            try:
&gt;               response.begin()

/usr/lib64/python3.11/http/client.py:1395: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;http.client.HTTPResponse object at 0x7f3676dab6a0&gt;

    def begin(self):
        if self.headers is not None:
            # we've already started reading the response
            return
    
        # read until we get a non-100 response
        while True:
&gt;           version, status, reason = self._read_status()

/usr/lib64/python3.11/http/client.py:325: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;http.client.HTTPResponse object at 0x7f3676dab6a0&gt;

    def _read_status(self):
&gt;       line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")

/usr/lib64/python3.11/http/client.py:286: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;socket.SocketIO object at 0x7f3676da9690&gt;
b = &lt;memory at 0x7f3675cb19c0&gt;

    def readinto(self, b):
        """Read up to len(b) bytes into the writable buffer *b* and return
        the number of bytes read.  If the socket is non-blocking and no bytes
        are available, None is returned.
    
        If *b* is non-empty, a 0 return value indicates that the connection
        was shutdown at the other end.
        """
        self._checkClosed()
        self._checkReadable()
        if self._timeout_occurred:
            raise OSError("cannot read from timed out object")
        while True:
            try:
&gt;               return self._sock.recv_into(b)
E               TimeoutError: timed out

/usr/lib64/python3.11/socket.py:718: TimeoutError

The above exception was the direct cause of the following exception:

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675d44c10&gt;
method = 'POST', url = '/v1/completions'
body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'}
retries = Retry(total=0, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False, err = None, clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
&gt;           response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:787: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675d44c10&gt;
conn = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7f3675b54f90&gt;
method = 'POST', url = '/v1/completions'
body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'}
retries = Retry(total=0, connect=None, read=None, redirect=None, status=None)
timeout = Timeout(connect=60, read=60, total=None), chunked = False
response_conn = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7f3675b54f90&gt;
preload_content = False, decode_content = False, enforce_content_length = True

    def _make_request(
        self,
        conn: BaseHTTPConnection,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | None = None,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        chunked: bool = False,
        response_conn: BaseHTTPConnection | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        enforce_content_length: bool = True,
    ) -&gt; BaseHTTPResponse:
        """
        Perform a request on a given urllib connection object taken from our
        pool.
    
        :param conn:
            a connection from one of our connection pools
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            Pass ``None`` to retry until you receive a response. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param response_conn:
            Set this to ``None`` if you will handle releasing the connection or
            set the connection to have the response release it.
    
        :param preload_content:
          If True, the response's body will be preloaded during construction.
    
        :param decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param enforce_content_length:
            Enforce content length checking. Body returned by server must match
            value of Content-Length header, if present. Otherwise, raise error.
        """
        self.num_requests += 1
    
        timeout_obj = self._get_timeout(timeout)
        timeout_obj.start_connect()
        conn.timeout = Timeout.resolve_default_timeout(timeout_obj.connect_timeout)
    
        try:
            # Trigger any extra validation we need to do.
            try:
                self._validate_conn(conn)
            except (SocketTimeout, BaseSSLError) as e:
                self._raise_timeout(err=e, url=url, timeout_value=conn.timeout)
                raise
    
        # _validate_conn() starts the connection to an HTTPS proxy
        # so we need to wrap errors with 'ProxyError' here too.
        except (
            OSError,
            NewConnectionError,
            TimeoutError,
            BaseSSLError,
            CertificateError,
            SSLError,
        ) as e:
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            # If the connection didn't successfully connect to it's proxy
            # then there
            if isinstance(
                new_e, (OSError, NewConnectionError, TimeoutError, SSLError)
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            raise new_e
    
        # conn.request() calls http.client.*.request, not the method in
        # urllib3.request. It also calls makefile (recv) on the socket.
        try:
            conn.request(
                method,
                url,
                body=body,
                headers=headers,
                chunked=chunked,
                preload_content=preload_content,
                decode_content=decode_content,
                enforce_content_length=enforce_content_length,
            )
    
        # We are swallowing BrokenPipeError (errno.EPIPE) since the server is
        # legitimately able to close the connection after sending a valid response.
        # With this behaviour, the received response is still readable.
        except BrokenPipeError:
            pass
        except OSError as e:
            # MacOS/Linux
            # EPROTOTYPE and ECONNRESET are needed on macOS
            # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/
            # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE.
            if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET:
                raise
    
        # Reset the timeout for the recv() on the socket
        read_timeout = timeout_obj.read_timeout
    
        if not conn.is_closed:
            # In Python 3 socket.py will catch EAGAIN and return None when you
            # try and read into the file pointer created by http.client, which
            # instead raises a BadStatusLine exception. Instead of catching
            # the exception and assuming all BadStatusLine exceptions are read
            # timeouts, check for a zero timeout before making the request.
            if read_timeout == 0:
                raise ReadTimeoutError(
                    self, url, f"Read timed out. (read timeout={read_timeout})"
                )
            conn.timeout = read_timeout
    
        # Receive the response from the server
        try:
            response = conn.getresponse()
        except (BaseSSLError, OSError) as e:
&gt;           self._raise_timeout(err=e, url=url, timeout_value=read_timeout)

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:536: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675d44c10&gt;
err = TimeoutError('timed out'), url = '/v1/completions', timeout_value = 60

    def _raise_timeout(
        self,
        err: BaseSSLError | OSError | SocketTimeout,
        url: str,
        timeout_value: _TYPE_TIMEOUT | None,
    ) -&gt; None:
        """Is the error actually a timeout? Will raise a ReadTimeout or pass"""
    
        if isinstance(err, SocketTimeout):
&gt;           raise ReadTimeoutError(
                self, url, f"Read timed out. (read timeout={timeout_value})"
            ) from err
E           urllib3.exceptions.ReadTimeoutError: HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:367: ReadTimeoutError

The above exception was the direct cause of the following exception:

self = &lt;requests.adapters.HTTPAdapter object at 0x7f3675b2e690&gt;
request = &lt;PreparedRequest [POST]&gt;, stream = False
timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt'
cert = None, proxies = OrderedDict()

    def send(
        self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None
    ):
        """Sends PreparedRequest object. Returns Response object.
    
        :param request: The :class:`PreparedRequest &lt;PreparedRequest&gt;` being sent.
        :param stream: (optional) Whether to stream the request content.
        :param timeout: (optional) How long to wait for the server to send
            data before giving up, as a float, or a :ref:`(connect timeout,
            read timeout) &lt;timeouts&gt;` tuple.
        :type timeout: float or tuple or urllib3 Timeout object
        :param verify: (optional) Either a boolean, in which case it controls whether
            we verify the server's TLS certificate, or a string, in which case it
            must be a path to a CA bundle to use
        :param cert: (optional) Any user-provided SSL certificate to be trusted.
        :param proxies: (optional) The proxies dictionary to apply to the request.
        :rtype: requests.Response
        """
    
        try:
            conn = self.get_connection_with_tls_context(
                request, verify, proxies=proxies, cert=cert
            )
        except LocationValueError as e:
            raise InvalidURL(e, request=request)
    
        self.cert_verify(conn, request.url, verify, cert)
        url = self.request_url(request, proxies)
        self.add_headers(
            request,
            stream=stream,
            timeout=timeout,
            verify=verify,
            cert=cert,
            proxies=proxies,
        )
    
        chunked = not (request.body is None or "Content-Length" in request.headers)
    
        if isinstance(timeout, tuple):
            try:
                connect, read = timeout
                timeout = TimeoutSauce(connect=connect, read=read)
            except ValueError:
                raise ValueError(
                    f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, "
                    f"or a single float to set both timeouts to the same value."
                )
        elif isinstance(timeout, TimeoutSauce):
            pass
        else:
            timeout = TimeoutSauce(connect=timeout, read=timeout)
    
        try:
&gt;           resp = conn.urlopen(
                method=request.method,
                url=url,
                body=request.body,
                headers=request.headers,
                redirect=False,
                assert_same_host=False,
                preload_content=False,
                decode_content=False,
                retries=self.max_retries,
                timeout=timeout,
                chunked=chunked,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:667: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675d44c10&gt;
method = 'POST', url = '/v1/completions'
body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'}
retries = Retry(total=7, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675d44c10&gt;
method = 'POST', url = '/v1/completions'
body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'}
retries = Retry(total=6, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675d44c10&gt;
method = 'POST', url = '/v1/completions'
body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'}
retries = Retry(total=5, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675d44c10&gt;
method = 'POST', url = '/v1/completions'
body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'}
retries = Retry(total=4, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675d44c10&gt;
method = 'POST', url = '/v1/completions'
body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'}
retries = Retry(total=3, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675d44c10&gt;
method = 'POST', url = '/v1/completions'
body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'}
retries = Retry(total=2, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675d44c10&gt;
method = 'POST', url = '/v1/completions'
body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'}
retries = Retry(total=1, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675d44c10&gt;
method = 'POST', url = '/v1/completions'
body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'}
retries = Retry(total=0, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675d44c10&gt;
method = 'POST', url = '/v1/completions'
body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}'
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'}
retries = Retry(total=0, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False, err = None, clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
&gt;           retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:841: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = Retry(total=0, connect=None, read=None, redirect=None, status=None)
method = 'POST', url = '/v1/completions', response = None
error = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
_pool = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675d44c10&gt;
_stacktrace = &lt;traceback object at 0x7f3675b55040&gt;

    def increment(
        self,
        method: str | None = None,
        url: str | None = None,
        response: BaseHTTPResponse | None = None,
        error: Exception | None = None,
        _pool: ConnectionPool | None = None,
        _stacktrace: TracebackType | None = None,
    ) -&gt; Self:
        """Return a new Retry object with incremented retry counters.
    
        :param response: A response object, or None, if the server did not
            return a response.
        :type response: :class:`~urllib3.response.BaseHTTPResponse`
        :param Exception error: An error encountered during the request, or
            None if the response was received successfully.
    
        :return: A new ``Retry`` object.
        """
        if self.total is False and error:
            # Disabled, indicate to re-raise the error.
            raise reraise(type(error), error, _stacktrace)
    
        total = self.total
        if total is not None:
            total -= 1
    
        connect = self.connect
        read = self.read
        redirect = self.redirect
        status_count = self.status
        other = self.other
        cause = "unknown"
        status = None
        redirect_location = None
    
        if error and self._is_connection_error(error):
            # Connect retry?
            if connect is False:
                raise reraise(type(error), error, _stacktrace)
            elif connect is not None:
                connect -= 1
    
        elif error and self._is_read_error(error):
            # Read retry?
            if read is False or method is None or not self._is_method_retryable(method):
                raise reraise(type(error), error, _stacktrace)
            elif read is not None:
                read -= 1
    
        elif error:
            # Other retry?
            if other is not None:
                other -= 1
    
        elif response and response.get_redirect_location():
            # Redirect retry?
            if redirect is not None:
                redirect -= 1
            cause = "too many redirects"
            response_redirect_location = response.get_redirect_location()
            if response_redirect_location:
                redirect_location = response_redirect_location
            status = response.status
    
        else:
            # Incrementing because of a server error like a 500 in
            # status_forcelist and the given method is in the allowed_methods
            cause = ResponseError.GENERIC_ERROR
            if response and response.status:
                if status_count is not None:
                    status_count -= 1
                cause = ResponseError.SPECIFIC_ERROR.format(status_code=response.status)
                status = response.status
    
        history = self.history + (
            RequestHistory(method, url, error, status, redirect_location),
        )
    
        new_retry = self.new(
            total=total,
            connect=connect,
            read=read,
            redirect=redirect,
            status=status_count,
            other=other,
            history=history,
        )
    
        if new_retry.is_exhausted():
            reason = error or ResponseError(cause)
&gt;           raise MaxRetryError(_pool, url, reason) from reason  # type: ignore[arg-type]
E           urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)"))

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/util/retry.py:519: MaxRetryError

During handling of the above exception, another exception occurred:

    def get_successful_response():
        try:
            if test_case.url_getter:
                service_url = test_case.url_getter(kserve_client, test_case.llm_service)
            else:
                service_url = get_llm_service_url(kserve_client, test_case.llm_service)
        except Exception as e:
            raise AssertionError(f"❌ Failed to get service URL: {e}") from e
    
        model_url = service_url + test_case.endpoint
    
        headers = {"Content-Type": "application/json"}
        if extra_headers:
            headers.update(extra_headers)
    
        if test_case.payload_formatter is not None:
            test_payload = test_case.payload_formatter(test_case)
        elif test_case.prompt is not None:
            test_payload = {
                "model": test_case.model_name
                if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers
                else extra_headers[MODEL_ROUTING_HEADER],
                "prompt": test_case.prompt,
                "max_tokens": test_case.max_tokens,
            }
        else:
            test_payload = None
    
        logger.info(f"Calling LLM service at {model_url} with payload {test_payload}")
        try:
            if test_payload is not None:
&gt;               response = post_with_retry(
                    model_url,
                    headers=headers,
                    json_data=test_payload,
                    timeout=test_case.response_timeout,
                )

llmisvc/test_llm_inference_service.py:1095: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

url = 'http://a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com/v1/completions'

    def post_with_retry(
        url: str,
        *,
        headers: Dict = None,
        json_data: Union[Dict, List] = None,
        data: Union[str, bytes] = None,
        stream: bool = False,
        timeout: float = None,
        total_retries: int = DEFAULT_RETRY_TOTAL,
        backoff_factor: float = DEFAULT_RETRY_BACKOFF_FACTOR,
        retry_status_codes=DEFAULT_RETRY_STATUS_CODES,
    ) -&gt; requests.Response:
        """
        Send POST request with retries for transient HTTP and network failures.
        """
        if json_data is not None and data is not None:
            raise ValueError("Only one of json_data or data can be provided.")
    
        with _retry_session(
            ["POST"], total_retries, backoff_factor, retry_status_codes
        ) as session:
&gt;           return session.post(
                url,
                json=json_data,
                data=data,
                headers=headers,
                stream=stream,
                timeout=timeout,
            )

common/http_retry.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;requests.sessions.Session object at 0x7f3675deeb10&gt;
url = 'http://a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com/v1/completions'
data = None
json = {'max_tokens': 20, 'model': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'prompt': 'KServe is a'}
kwargs = {'headers': {'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1'}, 'stream': False, 'timeout': 60}

    def post(self, url, data=None, json=None, **kwargs):
        r"""Sends a POST request. Returns :class:`Response` object.
    
        :param url: URL for the new :class:`Request` object.
        :param data: (optional) Dictionary, list of tuples, bytes, or file-like
            object to send in the body of the :class:`Request`.
        :param json: (optional) json to send in the body of the :class:`Request`.
        :param \*\*kwargs: Optional arguments that ``request`` takes.
        :rtype: requests.Response
        """
    
&gt;       return self.request("POST", url, data=data, json=json, **kwargs)

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:637: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;requests.sessions.Session object at 0x7f3675deeb10&gt;, method = 'POST'
url = 'http://a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com/v1/completions'
params = None, data = None
headers = {'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1'}
cookies = None, files = None, auth = None, timeout = 60, allow_redirects = True
proxies = {}, hooks = None, stream = False, verify = None, cert = None
json = {'max_tokens': 20, 'model': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'prompt': 'KServe is a'}

    def request(
        self,
        method,
        url,
        params=None,
        data=None,
        headers=None,
        cookies=None,
        files=None,
        auth=None,
        timeout=None,
        allow_redirects=True,
        proxies=None,
        hooks=None,
        stream=None,
        verify=None,
        cert=None,
        json=None,
    ):
        """Constructs a :class:`Request &lt;Request&gt;`, prepares it and sends it.
        Returns :class:`Response &lt;Response&gt;` object.
    
        :param method: method for the new :class:`Request` object.
        :param url: URL for the new :class:`Request` object.
        :param params: (optional) Dictionary or bytes to be sent in the query
            string for the :class:`Request`.
        :param data: (optional) Dictionary, list of tuples, bytes, or file-like
            object to send in the body of the :class:`Request`.
        :param json: (optional) json to send in the body of the
            :class:`Request`.
        :param headers: (optional) Dictionary of HTTP Headers to send with the
            :class:`Request`.
        :param cookies: (optional) Dict or CookieJar object to send with the
            :class:`Request`.
        :param files: (optional) Dictionary of ``'filename': file-like-objects``
            for multipart encoding upload.
        :param auth: (optional) Auth tuple or callable to enable
            Basic/Digest/Custom HTTP Auth.
        :param timeout: (optional) How long to wait for the server to send
            data before giving up, as a float, or a :ref:`(connect timeout,
            read timeout) &lt;timeouts&gt;` tuple.
        :type timeout: float or tuple
        :param allow_redirects: (optional) Set to True by default.
        :type allow_redirects: bool
        :param proxies: (optional) Dictionary mapping protocol or protocol and
            hostname to the URL of the proxy.
        :param hooks: (optional) Dictionary mapping hook name to one event or
            list of events, event must be callable.
        :param stream: (optional) whether to immediately download the response
            content. Defaults to ``False``.
        :param verify: (optional) Either a boolean, in which case it controls whether we verify
            the server's TLS certificate, or a string, in which case it must be a path
            to a CA bundle to use. Defaults to ``True``. When set to
            ``False``, requests will accept any TLS certificate presented by
            the server, and will ignore hostname mismatches and/or expired
            certificates, which will make your application vulnerable to
            man-in-the-middle (MitM) attacks. Setting verify to ``False``
            may be useful during local development or testing.
        :param cert: (optional) if String, path to ssl client cert file (.pem).
            If Tuple, ('cert', 'key') pair.
        :rtype: requests.Response
        """
        # Create the Request.
        req = Request(
            method=method.upper(),
            url=url,
            headers=headers,
            files=files,
            data=data or {},
            json=json,
            params=params or {},
            auth=auth,
            cookies=cookies,
            hooks=hooks,
        )
        prep = self.prepare_request(req)
    
        proxies = proxies or {}
    
        settings = self.merge_environment_settings(
            prep.url, proxies, stream, verify, cert
        )
    
        # Send the request.
        send_kwargs = {
            "timeout": timeout,
            "allow_redirects": allow_redirects,
        }
        send_kwargs.update(settings)
&gt;       resp = self.send(prep, **send_kwargs)

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:589: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;requests.sessions.Session object at 0x7f3675deeb10&gt;
request = &lt;PreparedRequest [POST]&gt;
kwargs = {'cert': None, 'proxies': OrderedDict(), 'stream': False, 'timeout': 60, ...}
allow_redirects = True, stream = False, hooks = {'response': []}
adapter = &lt;requests.adapters.HTTPAdapter object at 0x7f3675b2e690&gt;
start = 1782933236.7120187

    def send(self, request, **kwargs):
        """Send a given PreparedRequest.
    
        :rtype: requests.Response
        """
        # Set defaults that the hooks can utilize to ensure they always have
        # the correct parameters to reproduce the previous request.
        kwargs.setdefault("stream", self.stream)
        kwargs.setdefault("verify", self.verify)
        kwargs.setdefault("cert", self.cert)
        if "proxies" not in kwargs:
            kwargs["proxies"] = resolve_proxies(request, self.proxies, self.trust_env)
    
        # It's possible that users might accidentally send a Request object.
        # Guard against that specific failure case.
        if isinstance(request, Request):
            raise ValueError("You can only send PreparedRequests.")
    
        # Set up variables needed for resolve_redirects and dispatching of hooks
        allow_redirects = kwargs.pop("allow_redirects", True)
        stream = kwargs.get("stream")
        hooks = request.hooks
    
        # Get the appropriate adapter to use
        adapter = self.get_adapter(url=request.url)
    
        # Start time (approximately) of the request
        start = preferred_clock()
    
        # Send the request
&gt;       r = adapter.send(request, **kwargs)

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:703: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;requests.adapters.HTTPAdapter object at 0x7f3675b2e690&gt;
request = &lt;PreparedRequest [POST]&gt;, stream = False
timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt'
cert = None, proxies = OrderedDict()

    def send(
        self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None
    ):
        """Sends PreparedRequest object. Returns Response object.
    
        :param request: The :class:`PreparedRequest &lt;PreparedRequest&gt;` being sent.
        :param stream: (optional) Whether to stream the request content.
        :param timeout: (optional) How long to wait for the server to send
            data before giving up, as a float, or a :ref:`(connect timeout,
            read timeout) &lt;timeouts&gt;` tuple.
        :type timeout: float or tuple or urllib3 Timeout object
        :param verify: (optional) Either a boolean, in which case it controls whether
            we verify the server's TLS certificate, or a string, in which case it
            must be a path to a CA bundle to use
        :param cert: (optional) Any user-provided SSL certificate to be trusted.
        :param proxies: (optional) The proxies dictionary to apply to the request.
        :rtype: requests.Response
        """
    
        try:
            conn = self.get_connection_with_tls_context(
                request, verify, proxies=proxies, cert=cert
            )
        except LocationValueError as e:
            raise InvalidURL(e, request=request)
    
        self.cert_verify(conn, request.url, verify, cert)
        url = self.request_url(request, proxies)
        self.add_headers(
            request,
            stream=stream,
            timeout=timeout,
            verify=verify,
            cert=cert,
            proxies=proxies,
        )
    
        chunked = not (request.body is None or "Content-Length" in request.headers)
    
        if isinstance(timeout, tuple):
            try:
                connect, read = timeout
                timeout = TimeoutSauce(connect=connect, read=read)
            except ValueError:
                raise ValueError(
                    f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, "
                    f"or a single float to set both timeouts to the same value."
                )
        elif isinstance(timeout, TimeoutSauce):
            pass
        else:
            timeout = TimeoutSauce(connect=timeout, read=timeout)
    
        try:
            resp = conn.urlopen(
                method=request.method,
                url=url,
                body=request.body,
                headers=request.headers,
                redirect=False,
                assert_same_host=False,
                preload_content=False,
                decode_content=False,
                retries=self.max_retries,
                timeout=timeout,
                chunked=chunked,
            )
    
        except (ProtocolError, OSError) as err:
            raise ConnectionError(err, request=request)
    
        except MaxRetryError as e:
            if isinstance(e.reason, ConnectTimeoutError):
                # TODO: Remove this in 3.0.0: see #2811
                if not isinstance(e.reason, NewConnectionError):
                    raise ConnectTimeout(e, request=request)
    
            if isinstance(e.reason, ResponseError):
                raise RetryError(e, request=request)
    
            if isinstance(e.reason, _ProxyError):
                raise ProxyError(e, request=request)
    
            if isinstance(e.reason, _SSLError):
                # This branch is for urllib3 v1.22 and later.
                raise SSLError(e, request=request)
    
&gt;           raise ConnectionError(e, request=request)
E           requests.exceptions.ConnectionError: HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)"))

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:700: ConnectionError

The above exception was the direct cause of the following exception:

test_case = TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m-with-lora-hf'], prompt='KServe is a', ...opt-125m-with-lora-hf-a7886ead'}]},
 'status': None}, model_name='publishers/kserve-ci-e2e-test/models/lora-adapter-1')

    @pytest.mark.llminferenceservice
    @pytest.mark.asyncio(loop_scope="session")
    @pytest.mark.parametrize(
        "test_case",
        [
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-gateway-ref",
                        "router-with-managed-route",
                        "model-fb-opt-125m",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="custom-route-timeout-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="router-with-refs-test",
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                            routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="custom-route-timeout-pd-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="router-with-refs-pd-test",
                    response_assertion=assert_200_with_choices,
                    expected_gateway=ROUTER_GATEWAYS[1],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[1]],
                            routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-dp-ep-gpu",
                        "workload-dp-ep-prefill-gpu",
                        "model-deepseek-v2-lite",
                    ],
                    prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically "
                    "where the compute plane (P) and the data plane (D) are independently deployed and managed for a "
                    "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the "
                    "fundamental challenges of network latency and data consistency, elaborate on the advanced "
                    "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: "
                    "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to "
                    "evolve to support optimal performance and minimize inter-plane communication overhead, especially for "
                    "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically "
                    "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: "
                    "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) "
                    "and their applicability in balancing performance and data integrity across a globally distributed data plane. "
                    "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, "
                    "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. "
                    "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently "
                    "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, "
                    "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). "
                    "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on "
                    "workload patterns and data locality, potentially involving live migration strategies. "
                    "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter "
                    "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), "
                    "fine-grained access control to data at rest and in motion, and identity management across disaggregated "
                    "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) "
                    "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: "
                    "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and "
                    "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) "
                    "would be essential? How would incident response and troubleshooting differ in this disaggregated environment "
                    "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across "
                    "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries "
                    "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) "
                    "where the benefits of P/D disaggregation would strongly outweigh its complexities. "
                    "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions "
                    "directly interacting with object storage, in-memory disaggregation) that could further drive or "
                    "transform P/D disaggregation in cloud computing.",
                    max_tokens=2000,
                ),
                marks=[
                    pytest.mark.cluster_gpu,
                    pytest.mark.cluster_nvidia,
                    pytest.mark.cluster_nvidia_roce,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-no-scheduler",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="What is KServe?",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.no_scheduler,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, "
                    "but without the resources requirements for DP+EP (GPUs and ROCe/IB).",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node],
            ),
            # Scheduler config tests
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-inline-config",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-inline-config-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Chat completions endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                        "model-qwen2.5-0.5b",
                    ],
                    model_name="Qwen/Qwen2.5-0.5B-Instruct",
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-configmap-ref",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-configmap-ref-test",
                    before_test=[create_scheduler_configmap],
                    after_test=[delete_scheduler_configmap],
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-replicas",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-ha-replicas-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-custom-template",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-custom-template-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Scheduler v0.6 → v0.7 migration tests.
            # Deploy v0.6-style configs and verify the controller migrates them
            # so the v0.7 scheduler boots successfully.
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-pd-config-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-pd-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-nonzero-threshold-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-threshold-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Precise prefix KV cache routing test
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-precise-prefix-cache-inline-config",
                        "workload-llmd-simulator-kvcache",
                    ],
                    prompt="KServe is a",
                    service_name="precise-prefix-cache-test",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Models endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/models",
                    response_assertion=create_response_assertion(with_field="data"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/completions",
                            prompt="KServe is a",
                            payload_formatter=completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/chat/completions",
                            prompt="What is KServe?",
                            payload_formatter=chat_completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — LoRA adapter
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches(
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1"
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA)
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/models",
                    response_assertion=assert_models_contains(
                        "facebook/opt-125m",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                        "lora-adapter-1",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # PVC storage tests -- validate direct PVC volume mount with real vLLM serving
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-pd-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_multi_node,
                    pytest.mark.pvc_storage,
                ],
            ),
        ],
        indirect=["test_case"],
        ids=generate_test_id,
    )
    @log_execution
    def test_llm_inference_service(test_case: TestCase):  # noqa: F811
        inject_k8s_proxy()
    
        kserve_client = KServeClient(
            config_file=os.environ.get("KUBECONFIG", "~/.kube/config"),
            client_configuration=client.Configuration(),
        )
    
        service_name = test_case.llm_service.metadata.name
        if not test_case.llm_service.metadata.annotations:
            test_case.llm_service.metadata.annotations = {}
    
        test_case.llm_service.metadata.annotations[
            "security.opendatahub.io/enable-auth"
        ] = "false"
        prefix = test_case.log_prefix
    
        test_failed = False
        try:
            print(f"{prefix} Creating LLMInferenceService {service_name}")
            create_llmisvc(kserve_client, test_case.llm_service)
            print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready")
            wait_for_llm_isvc_ready(
                kserve_client, test_case.llm_service, test_case.wait_timeout
            )
            print(f"{prefix} Waiting for model response from {service_name}")
&gt;           wait_for_model_response(
                kserve_client,
                test_case,
                test_case.wait_timeout,
                extra_headers=test_case.extra_headers,
            )

llmisvc/test_llm_inference_service.py:816: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (&lt;kserve.api.kserve_client.KServeClient object at 0x7f3675cb49d0&gt;, TestCase(base_refs=['router-managed', 'workload-sin...5m-with-lora-hf-a7886ead'}]},
 'status': None}, model_name='publishers/kserve-ci-e2e-test/models/lora-adapter-1'), 900)
kwargs = {'extra_headers': {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1'}}
func_name = 'wait_for_model_response'
timestamp_start = '2026-07-01T18:59:30.309347', start_time = 1782932370.3100522
duration = 1771.0434415340424, timestamp_end = '2026-07-01T19:29:01.353497'

    @functools.wraps(func)
    def wrapper(*args, **kwargs):
        func_name = func.__name__
    
        timestamp_start = datetime.now().isoformat()
        logger.info(
            f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}"
        )
        start_time = time.time()
    
        try:
&gt;           result = func(*args, **kwargs)

llmisvc/logging.py:40: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

kserve_client = &lt;kserve.api.kserve_client.KServeClient object at 0x7f3675cb49d0&gt;
test_case = TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m-with-lora-hf'], prompt='KServe is a', ...opt-125m-with-lora-hf-a7886ead'}]},
 'status': None}, model_name='publishers/kserve-ci-e2e-test/models/lora-adapter-1')
timeout_seconds = 900
extra_headers = {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1'}

    @log_execution
    def wait_for_model_response(
        kserve_client: KServeClient,
        test_case: TestCase,  # noqa: F811
        timeout_seconds: int = 900,
        extra_headers: Optional[Dict[str, str]] = None,
    ) -&gt; str:
        def get_successful_response():
            try:
                if test_case.url_getter:
                    service_url = test_case.url_getter(kserve_client, test_case.llm_service)
                else:
                    service_url = get_llm_service_url(kserve_client, test_case.llm_service)
            except Exception as e:
                raise AssertionError(f"❌ Failed to get service URL: {e}") from e
    
            model_url = service_url + test_case.endpoint
    
            headers = {"Content-Type": "application/json"}
            if extra_headers:
                headers.update(extra_headers)
    
            if test_case.payload_formatter is not None:
                test_payload = test_case.payload_formatter(test_case)
            elif test_case.prompt is not None:
                test_payload = {
                    "model": test_case.model_name
                    if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers
                    else extra_headers[MODEL_ROUTING_HEADER],
                    "prompt": test_case.prompt,
                    "max_tokens": test_case.max_tokens,
                }
            else:
                test_payload = None
    
            logger.info(f"Calling LLM service at {model_url} with payload {test_payload}")
            try:
                if test_payload is not None:
                    response = post_with_retry(
                        model_url,
                        headers=headers,
                        json_data=test_payload,
                        timeout=test_case.response_timeout,
                    )
                else:
                    response = get_with_retry(
                        model_url,
                        headers=headers,
                        timeout=test_case.response_timeout,
                    )
            except Exception as e:
                logger.error(f"❌ Failed to call model: {e}")
                raise AssertionError(f"❌ Failed to call model: {e}") from e
    
            logger.info(f"Model response is {response.status_code}: {response.text[:500]}")
    
            if 200 &lt;= response.status_code &lt; 300:
                return response
            raise AssertionError(
                f"Service returned {response.status_code}: {response.text}"
            )
    
&gt;       response = wait_for(get_successful_response, timeout=timeout_seconds, interval=5.0)

llmisvc/test_llm_inference_service.py:1119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

assertion_fn = &lt;function wait_for_model_response.&lt;locals&gt;.get_successful_response at 0x7f3675d3ad40&gt;
timeout = 900, interval = 5.0

    def wait_for(
        assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1
    ) -&gt; Any:
        """Wait for the assertion to succeed within timeout."""
        deadline = time.time() + timeout
        last_msg = None
        while True:
            try:
&gt;               return assertion_fn()

llmisvc/test_llm_inference_service.py:1215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

    def get_successful_response():
        try:
            if test_case.url_getter:
                service_url = test_case.url_getter(kserve_client, test_case.llm_service)
            else:
                service_url = get_llm_service_url(kserve_client, test_case.llm_service)
        except Exception as e:
            raise AssertionError(f"❌ Failed to get service URL: {e}") from e
    
        model_url = service_url + test_case.endpoint
    
        headers = {"Content-Type": "application/json"}
        if extra_headers:
            headers.update(extra_headers)
    
        if test_case.payload_formatter is not None:
            test_payload = test_case.payload_formatter(test_case)
        elif test_case.prompt is not None:
            test_payload = {
                "model": test_case.model_name
                if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers
                else extra_headers[MODEL_ROUTING_HEADER],
                "prompt": test_case.prompt,
                "max_tokens": test_case.max_tokens,
            }
        else:
            test_payload = None
    
        logger.info(f"Calling LLM service at {model_url} with payload {test_payload}")
        try:
            if test_payload is not None:
                response = post_with_retry(
                    model_url,
                    headers=headers,
                    json_data=test_payload,
                    timeout=test_case.response_timeout,
                )
            else:
                response = get_with_retry(
                    model_url,
                    headers=headers,
                    timeout=test_case.response_timeout,
                )
        except Exception as e:
            logger.error(f"❌ Failed to call model: {e}")
&gt;           raise AssertionError(f"❌ Failed to call model: {e}") from e
E           AssertionError: ❌ Failed to call model: HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)"))

llmisvc/test_llm_inference_service.py:1109: AssertionError</failure></testcase><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-gateway-ref-router-with-managed-route-model-fb-opt-125m-workload-llmd-simulator]" time="35.910" /><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m]" time="352.592" /><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-scheduler-managed-workload-single-cpu-model-fb-opt-125m]" time="1685.542" /><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf1]" time="1000.819"><failure message="AssertionError: ❌ Failed to call model: HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/models (Caused by ReadTimeoutError(&quot;HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)&quot;))">self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675cc7d10&gt;
conn = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7f3675076f50&gt;
method = 'GET', url = '/v1/models', body = None
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}
retries = Retry(total=0, connect=None, read=None, redirect=None, status=None)
timeout = Timeout(connect=60, read=60, total=None), chunked = False
response_conn = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7f3675076f50&gt;
preload_content = False, decode_content = False, enforce_content_length = True

    def _make_request(
        self,
        conn: BaseHTTPConnection,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | None = None,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        chunked: bool = False,
        response_conn: BaseHTTPConnection | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        enforce_content_length: bool = True,
    ) -&gt; BaseHTTPResponse:
        """
        Perform a request on a given urllib connection object taken from our
        pool.
    
        :param conn:
            a connection from one of our connection pools
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            Pass ``None`` to retry until you receive a response. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param response_conn:
            Set this to ``None`` if you will handle releasing the connection or
            set the connection to have the response release it.
    
        :param preload_content:
          If True, the response's body will be preloaded during construction.
    
        :param decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param enforce_content_length:
            Enforce content length checking. Body returned by server must match
            value of Content-Length header, if present. Otherwise, raise error.
        """
        self.num_requests += 1
    
        timeout_obj = self._get_timeout(timeout)
        timeout_obj.start_connect()
        conn.timeout = Timeout.resolve_default_timeout(timeout_obj.connect_timeout)
    
        try:
            # Trigger any extra validation we need to do.
            try:
                self._validate_conn(conn)
            except (SocketTimeout, BaseSSLError) as e:
                self._raise_timeout(err=e, url=url, timeout_value=conn.timeout)
                raise
    
        # _validate_conn() starts the connection to an HTTPS proxy
        # so we need to wrap errors with 'ProxyError' here too.
        except (
            OSError,
            NewConnectionError,
            TimeoutError,
            BaseSSLError,
            CertificateError,
            SSLError,
        ) as e:
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            # If the connection didn't successfully connect to it's proxy
            # then there
            if isinstance(
                new_e, (OSError, NewConnectionError, TimeoutError, SSLError)
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            raise new_e
    
        # conn.request() calls http.client.*.request, not the method in
        # urllib3.request. It also calls makefile (recv) on the socket.
        try:
            conn.request(
                method,
                url,
                body=body,
                headers=headers,
                chunked=chunked,
                preload_content=preload_content,
                decode_content=decode_content,
                enforce_content_length=enforce_content_length,
            )
    
        # We are swallowing BrokenPipeError (errno.EPIPE) since the server is
        # legitimately able to close the connection after sending a valid response.
        # With this behaviour, the received response is still readable.
        except BrokenPipeError:
            pass
        except OSError as e:
            # MacOS/Linux
            # EPROTOTYPE and ECONNRESET are needed on macOS
            # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/
            # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE.
            if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET:
                raise
    
        # Reset the timeout for the recv() on the socket
        read_timeout = timeout_obj.read_timeout
    
        if not conn.is_closed:
            # In Python 3 socket.py will catch EAGAIN and return None when you
            # try and read into the file pointer created by http.client, which
            # instead raises a BadStatusLine exception. Instead of catching
            # the exception and assuming all BadStatusLine exceptions are read
            # timeouts, check for a zero timeout before making the request.
            if read_timeout == 0:
                raise ReadTimeoutError(
                    self, url, f"Read timed out. (read timeout={read_timeout})"
                )
            conn.timeout = read_timeout
    
        # Receive the response from the server
        try:
&gt;           response = conn.getresponse()

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:534: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7f3675076f50&gt;

    def getresponse(  # type: ignore[override]
        self,
    ) -&gt; HTTPResponse:
        """
        Get the response from the server.
    
        If the HTTPConnection is in the correct state, returns an instance of HTTPResponse or of whatever object is returned by the response_class variable.
    
        If a request has not been sent or if a previous response has not be handled, ResponseNotReady is raised. If the HTTP response indicates that the connection should be closed, then it will be closed before the response is returned. When the connection is closed, the underlying socket is closed.
        """
        # Raise the same error as http.client.HTTPConnection
        if self._response_options is None:
            raise ResponseNotReady()
    
        # Reset this attribute for being used again.
        resp_options = self._response_options
        self._response_options = None
    
        # Since the connection's timeout value may have been updated
        # we need to set the timeout on the socket.
        self.sock.settimeout(self.timeout)
    
        # This is needed here to avoid circular import errors
        from .response import HTTPResponse
    
        # Save a reference to the shutdown function before ownership is passed
        # to httplib_response
        # TODO should we implement it everywhere?
        _shutdown = getattr(self.sock, "shutdown", None)
    
        # Get the response from http.client.HTTPConnection
&gt;       httplib_response = super().getresponse()

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connection.py:571: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7f3675076f50&gt;

    def getresponse(self):
        """Get the response from the server.
    
        If the HTTPConnection is in the correct state, returns an
        instance of HTTPResponse or of whatever object is returned by
        the response_class variable.
    
        If a request has not been sent or if a previous response has
        not be handled, ResponseNotReady is raised.  If the HTTP
        response indicates that the connection should be closed, then
        it will be closed before the response is returned.  When the
        connection is closed, the underlying socket is closed.
        """
    
        # if a prior response has been completed, then forget about it.
        if self.__response and self.__response.isclosed():
            self.__response = None
    
        # if a prior response exists, then it must be completed (otherwise, we
        # cannot read this response's header to determine the connection-close
        # behavior)
        #
        # note: if a prior response existed, but was connection-close, then the
        # socket and response were made independent of this HTTPConnection
        # object since a new request requires that we open a whole new
        # connection
        #
        # this means the prior response had one of two states:
        #   1) will_close: this connection was reset and the prior socket and
        #                  response operate independently
        #   2) persistent: the response was retained and we await its
        #                  isclosed() status to become true.
        #
        if self.__state != _CS_REQ_SENT or self.__response:
            raise ResponseNotReady(self.__state)
    
        if self.debuglevel &gt; 0:
            response = self.response_class(self.sock, self.debuglevel,
                                           method=self._method)
        else:
            response = self.response_class(self.sock, method=self._method)
    
        try:
            try:
&gt;               response.begin()

/usr/lib64/python3.11/http/client.py:1395: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;http.client.HTTPResponse object at 0x7f3676ec85e0&gt;

    def begin(self):
        if self.headers is not None:
            # we've already started reading the response
            return
    
        # read until we get a non-100 response
        while True:
&gt;           version, status, reason = self._read_status()

/usr/lib64/python3.11/http/client.py:325: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;http.client.HTTPResponse object at 0x7f3676ec85e0&gt;

    def _read_status(self):
&gt;       line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")

/usr/lib64/python3.11/http/client.py:286: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;socket.SocketIO object at 0x7f3676ec9ab0&gt;
b = &lt;memory at 0x7f36750e41c0&gt;

    def readinto(self, b):
        """Read up to len(b) bytes into the writable buffer *b* and return
        the number of bytes read.  If the socket is non-blocking and no bytes
        are available, None is returned.
    
        If *b* is non-empty, a 0 return value indicates that the connection
        was shutdown at the other end.
        """
        self._checkClosed()
        self._checkReadable()
        if self._timeout_occurred:
            raise OSError("cannot read from timed out object")
        while True:
            try:
&gt;               return self._sock.recv_into(b)
E               TimeoutError: timed out

/usr/lib64/python3.11/socket.py:718: TimeoutError

The above exception was the direct cause of the following exception:

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675cc7d10&gt;
method = 'GET', url = '/v1/models', body = None
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}
retries = Retry(total=0, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False, err = None, clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
&gt;           response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:787: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675cc7d10&gt;
conn = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7f3675076f50&gt;
method = 'GET', url = '/v1/models', body = None
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}
retries = Retry(total=0, connect=None, read=None, redirect=None, status=None)
timeout = Timeout(connect=60, read=60, total=None), chunked = False
response_conn = &lt;HTTPConnection(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80) at 0x7f3675076f50&gt;
preload_content = False, decode_content = False, enforce_content_length = True

    def _make_request(
        self,
        conn: BaseHTTPConnection,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | None = None,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        chunked: bool = False,
        response_conn: BaseHTTPConnection | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        enforce_content_length: bool = True,
    ) -&gt; BaseHTTPResponse:
        """
        Perform a request on a given urllib connection object taken from our
        pool.
    
        :param conn:
            a connection from one of our connection pools
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            Pass ``None`` to retry until you receive a response. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param response_conn:
            Set this to ``None`` if you will handle releasing the connection or
            set the connection to have the response release it.
    
        :param preload_content:
          If True, the response's body will be preloaded during construction.
    
        :param decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param enforce_content_length:
            Enforce content length checking. Body returned by server must match
            value of Content-Length header, if present. Otherwise, raise error.
        """
        self.num_requests += 1
    
        timeout_obj = self._get_timeout(timeout)
        timeout_obj.start_connect()
        conn.timeout = Timeout.resolve_default_timeout(timeout_obj.connect_timeout)
    
        try:
            # Trigger any extra validation we need to do.
            try:
                self._validate_conn(conn)
            except (SocketTimeout, BaseSSLError) as e:
                self._raise_timeout(err=e, url=url, timeout_value=conn.timeout)
                raise
    
        # _validate_conn() starts the connection to an HTTPS proxy
        # so we need to wrap errors with 'ProxyError' here too.
        except (
            OSError,
            NewConnectionError,
            TimeoutError,
            BaseSSLError,
            CertificateError,
            SSLError,
        ) as e:
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            # If the connection didn't successfully connect to it's proxy
            # then there
            if isinstance(
                new_e, (OSError, NewConnectionError, TimeoutError, SSLError)
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            raise new_e
    
        # conn.request() calls http.client.*.request, not the method in
        # urllib3.request. It also calls makefile (recv) on the socket.
        try:
            conn.request(
                method,
                url,
                body=body,
                headers=headers,
                chunked=chunked,
                preload_content=preload_content,
                decode_content=decode_content,
                enforce_content_length=enforce_content_length,
            )
    
        # We are swallowing BrokenPipeError (errno.EPIPE) since the server is
        # legitimately able to close the connection after sending a valid response.
        # With this behaviour, the received response is still readable.
        except BrokenPipeError:
            pass
        except OSError as e:
            # MacOS/Linux
            # EPROTOTYPE and ECONNRESET are needed on macOS
            # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/
            # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE.
            if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET:
                raise
    
        # Reset the timeout for the recv() on the socket
        read_timeout = timeout_obj.read_timeout
    
        if not conn.is_closed:
            # In Python 3 socket.py will catch EAGAIN and return None when you
            # try and read into the file pointer created by http.client, which
            # instead raises a BadStatusLine exception. Instead of catching
            # the exception and assuming all BadStatusLine exceptions are read
            # timeouts, check for a zero timeout before making the request.
            if read_timeout == 0:
                raise ReadTimeoutError(
                    self, url, f"Read timed out. (read timeout={read_timeout})"
                )
            conn.timeout = read_timeout
    
        # Receive the response from the server
        try:
            response = conn.getresponse()
        except (BaseSSLError, OSError) as e:
&gt;           self._raise_timeout(err=e, url=url, timeout_value=read_timeout)

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:536: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675cc7d10&gt;
err = TimeoutError('timed out'), url = '/v1/models', timeout_value = 60

    def _raise_timeout(
        self,
        err: BaseSSLError | OSError | SocketTimeout,
        url: str,
        timeout_value: _TYPE_TIMEOUT | None,
    ) -&gt; None:
        """Is the error actually a timeout? Will raise a ReadTimeout or pass"""
    
        if isinstance(err, SocketTimeout):
&gt;           raise ReadTimeoutError(
                self, url, f"Read timed out. (read timeout={timeout_value})"
            ) from err
E           urllib3.exceptions.ReadTimeoutError: HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:367: ReadTimeoutError

The above exception was the direct cause of the following exception:

self = &lt;requests.adapters.HTTPAdapter object at 0x7f3675cc7f90&gt;
request = &lt;PreparedRequest [GET]&gt;, stream = False
timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt'
cert = None, proxies = OrderedDict()

    def send(
        self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None
    ):
        """Sends PreparedRequest object. Returns Response object.
    
        :param request: The :class:`PreparedRequest &lt;PreparedRequest&gt;` being sent.
        :param stream: (optional) Whether to stream the request content.
        :param timeout: (optional) How long to wait for the server to send
            data before giving up, as a float, or a :ref:`(connect timeout,
            read timeout) &lt;timeouts&gt;` tuple.
        :type timeout: float or tuple or urllib3 Timeout object
        :param verify: (optional) Either a boolean, in which case it controls whether
            we verify the server's TLS certificate, or a string, in which case it
            must be a path to a CA bundle to use
        :param cert: (optional) Any user-provided SSL certificate to be trusted.
        :param proxies: (optional) The proxies dictionary to apply to the request.
        :rtype: requests.Response
        """
    
        try:
            conn = self.get_connection_with_tls_context(
                request, verify, proxies=proxies, cert=cert
            )
        except LocationValueError as e:
            raise InvalidURL(e, request=request)
    
        self.cert_verify(conn, request.url, verify, cert)
        url = self.request_url(request, proxies)
        self.add_headers(
            request,
            stream=stream,
            timeout=timeout,
            verify=verify,
            cert=cert,
            proxies=proxies,
        )
    
        chunked = not (request.body is None or "Content-Length" in request.headers)
    
        if isinstance(timeout, tuple):
            try:
                connect, read = timeout
                timeout = TimeoutSauce(connect=connect, read=read)
            except ValueError:
                raise ValueError(
                    f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, "
                    f"or a single float to set both timeouts to the same value."
                )
        elif isinstance(timeout, TimeoutSauce):
            pass
        else:
            timeout = TimeoutSauce(connect=timeout, read=timeout)
    
        try:
&gt;           resp = conn.urlopen(
                method=request.method,
                url=url,
                body=request.body,
                headers=request.headers,
                redirect=False,
                assert_same_host=False,
                preload_content=False,
                decode_content=False,
                retries=self.max_retries,
                timeout=timeout,
                chunked=chunked,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:667: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675cc7d10&gt;
method = 'GET', url = '/v1/models', body = None
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}
retries = Retry(total=7, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675cc7d10&gt;
method = 'GET', url = '/v1/models', body = None
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}
retries = Retry(total=6, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675cc7d10&gt;
method = 'GET', url = '/v1/models', body = None
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}
retries = Retry(total=5, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675cc7d10&gt;
method = 'GET', url = '/v1/models', body = None
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}
retries = Retry(total=4, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675cc7d10&gt;
method = 'GET', url = '/v1/models', body = None
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}
retries = Retry(total=3, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675cc7d10&gt;
method = 'GET', url = '/v1/models', body = None
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}
retries = Retry(total=2, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675cc7d10&gt;
method = 'GET', url = '/v1/models', body = None
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}
retries = Retry(total=1, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675cc7d10&gt;
method = 'GET', url = '/v1/models', body = None
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}
retries = Retry(total=0, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False
err = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
            retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )
            retries.sleep()
    
            # Keep track of the error for the retry warning.
            err = e
    
        finally:
            if not clean_exit:
                # We hit some kind of exception, handled or otherwise. We need
                # to throw the connection away unless explicitly told not to.
                # Close the connection, set the variable to None, and make sure
                # we put the None back in the pool to avoid leaking it.
                if conn:
                    conn.close()
                    conn = None
                release_this_conn = True
    
            if release_this_conn:
                # Put the connection back to be reused. If the connection is
                # expired then it will be None, which will get replaced with a
                # fresh connection during _get_conn.
                self._put_conn(conn)
    
        if not conn:
            # Try again
            log.warning(
                "Retrying (%r) after connection broken by '%r': %s", retries, err, url
            )
&gt;           return self.urlopen(
                method,
                url,
                body,
                headers,
                retries,
                redirect,
                assert_same_host,
                timeout=timeout,
                pool_timeout=pool_timeout,
                release_conn=release_conn,
                chunked=chunked,
                body_pos=body_pos,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:871: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675cc7d10&gt;
method = 'GET', url = '/v1/models', body = None
headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}
retries = Retry(total=0, connect=None, read=None, redirect=None, status=None)
redirect = False, assert_same_host = False
timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None
release_conn = False, chunked = False, body_pos = None, preload_content = False
decode_content = False, response_kw = {}
parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None)
destination_scheme = None, conn = None, release_this_conn = True
http_tunnel_required = False, err = None, clean_exit = False

    def urlopen(  # type: ignore[override]
        self,
        method: str,
        url: str,
        body: _TYPE_BODY | None = None,
        headers: typing.Mapping[str, str] | None = None,
        retries: Retry | bool | int | None = None,
        redirect: bool = True,
        assert_same_host: bool = True,
        timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT,
        pool_timeout: int | None = None,
        release_conn: bool | None = None,
        chunked: bool = False,
        body_pos: _TYPE_BODY_POSITION | None = None,
        preload_content: bool = True,
        decode_content: bool = True,
        **response_kw: typing.Any,
    ) -&gt; BaseHTTPResponse:
        """
        Get a connection from the pool and perform an HTTP request. This is the
        lowest level call for making a request, so you'll need to specify all
        the raw details.
    
        .. note::
    
           More commonly, it's appropriate to use a convenience method
           such as :meth:`request`.
    
        .. note::
    
           `release_conn` will only behave as expected if
           `preload_content=False` because we want to make
           `preload_content=False` the default behaviour someday soon without
           breaking backwards compatibility.
    
        :param method:
            HTTP request method (such as GET, POST, PUT, etc.)
    
        :param url:
            The URL to perform the request on.
    
        :param body:
            Data to send in the request body, either :class:`str`, :class:`bytes`,
            an iterable of :class:`str`/:class:`bytes`, or a file-like object.
    
        :param headers:
            Dictionary of custom headers to send, such as User-Agent,
            If-None-Match, etc. If None, pool headers are used. If provided,
            these headers completely replace any pool-specific headers.
    
        :param retries:
            Configure the number of retries to allow before raising a
            :class:`~urllib3.exceptions.MaxRetryError` exception.
    
            If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a
            :class:`~urllib3.util.retry.Retry` object for fine-grained control
            over different types of retries.
            Pass an integer number to retry connection errors that many times,
            but no other types of errors. Pass zero to never retry.
    
            If ``False``, then retries are disabled and any exception is raised
            immediately. Also, instead of raising a MaxRetryError on redirects,
            the redirect response will be returned.
    
        :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int.
    
        :param redirect:
            If True, automatically handle redirects (status codes 301, 302,
            303, 307, 308). Each redirect counts as a retry. Disabling retries
            will disable redirect, too.
    
        :param assert_same_host:
            If ``True``, will make sure that the host of the pool requests is
            consistent else will raise HostChangedError. When ``False``, you can
            use the pool on an HTTP proxy and request foreign hosts.
    
        :param timeout:
            If specified, overrides the default timeout for this one
            request. It may be a float (in seconds) or an instance of
            :class:`urllib3.util.Timeout`.
    
        :param pool_timeout:
            If set and the pool is set to block=True, then this method will
            block for ``pool_timeout`` seconds and raise EmptyPoolError if no
            connection is available within the time period.
    
        :param bool preload_content:
            If True, the response's body will be preloaded into memory.
    
        :param bool decode_content:
            If True, will attempt to decode the body based on the
            'content-encoding' header.
    
        :param release_conn:
            If False, then the urlopen call will not release the connection
            back into the pool once a response is received (but will release if
            you read the entire contents of the response such as when
            `preload_content=True`). This is useful if you're not preloading
            the response's content immediately. You will need to call
            ``r.release_conn()`` on the response ``r`` to return the connection
            back into the pool. If None, it takes the value of ``preload_content``
            which defaults to ``True``.
    
        :param bool chunked:
            If True, urllib3 will send the body using chunked transfer
            encoding. Otherwise, urllib3 will send the body using the standard
            content-length form. Defaults to False.
    
        :param int body_pos:
            Position to seek to in file-like body in the event of a retry or
            redirect. Typically this won't need to be set because urllib3 will
            auto-populate the value when needed.
        """
        parsed_url = parse_url(url)
        destination_scheme = parsed_url.scheme
    
        if headers is None:
            headers = self.headers
    
        if not isinstance(retries, Retry):
            retries = Retry.from_int(retries, redirect=redirect, default=self.retries)
    
        if release_conn is None:
            release_conn = preload_content
    
        # Check host
        if assert_same_host and not self.is_same_host(url):
            raise HostChangedError(self, url, retries)
    
        # Ensure that the URL we're connecting to is properly encoded
        if url.startswith("/"):
            url = to_str(_encode_target(url))
        else:
            url = to_str(parsed_url.url)
    
        conn = None
    
        # Track whether `conn` needs to be released before
        # returning/raising/recursing. Update this variable if necessary, and
        # leave `release_conn` constant throughout the function. That way, if
        # the function recurses, the original value of `release_conn` will be
        # passed down into the recursive call, and its value will be respected.
        #
        # See issue #651 [1] for details.
        #
        # [1] &lt;https://github.com/urllib3/urllib3/issues/651&gt;
        release_this_conn = release_conn
    
        http_tunnel_required = connection_requires_http_tunnel(
            self.proxy, self.proxy_config, destination_scheme
        )
    
        # Merge the proxy headers. Only done when not using HTTP CONNECT. We
        # have to copy the headers dict so we can safely change it without those
        # changes being reflected in anyone else's copy.
        if not http_tunnel_required:
            headers = headers.copy()  # type: ignore[attr-defined]
            headers.update(self.proxy_headers)  # type: ignore[union-attr]
    
        # Must keep the exception bound to a separate variable or else Python 3
        # complains about UnboundLocalError.
        err = None
    
        # Keep track of whether we cleanly exited the except block. This
        # ensures we do proper cleanup in finally.
        clean_exit = False
    
        # Rewind body position, if needed. Record current position
        # for future rewinds in the event of a redirect/retry.
        body_pos = set_file_position(body, body_pos)
    
        try:
            # Request a connection from the queue.
            timeout_obj = self._get_timeout(timeout)
            conn = self._get_conn(timeout=pool_timeout)
    
            conn.timeout = timeout_obj.connect_timeout  # type: ignore[assignment]
    
            # Is this a closed/new connection that requires CONNECT tunnelling?
            if self.proxy is not None and http_tunnel_required and conn.is_closed:
                try:
                    self._prepare_proxy(conn)
                except (BaseSSLError, OSError, SocketTimeout) as e:
                    self._raise_timeout(
                        err=e, url=self.proxy.url, timeout_value=conn.timeout
                    )
                    raise
    
            # If we're going to release the connection in ``finally:``, then
            # the response doesn't need to know about the connection. Otherwise
            # it will also try to release it and we'll have a double-release
            # mess.
            response_conn = conn if not release_conn else None
    
            # Make the request on the HTTPConnection object
            response = self._make_request(
                conn,
                method,
                url,
                timeout=timeout_obj,
                body=body,
                headers=headers,
                chunked=chunked,
                retries=retries,
                response_conn=response_conn,
                preload_content=preload_content,
                decode_content=decode_content,
                **response_kw,
            )
    
            # Everything went great!
            clean_exit = True
    
        except EmptyPoolError:
            # Didn't get a connection from the pool, no need to clean up
            clean_exit = True
            release_this_conn = False
            raise
    
        except (
            TimeoutError,
            HTTPException,
            OSError,
            ProtocolError,
            BaseSSLError,
            SSLError,
            CertificateError,
            ProxyError,
        ) as e:
            # Discard the connection for these exceptions. It will be
            # replaced during the next _get_conn() call.
            clean_exit = False
            new_e: Exception = e
            if isinstance(e, (BaseSSLError, CertificateError)):
                new_e = SSLError(e)
            if isinstance(
                new_e,
                (
                    OSError,
                    NewConnectionError,
                    TimeoutError,
                    SSLError,
                    HTTPException,
                ),
            ) and (conn and conn.proxy and not conn.has_connected_to_proxy):
                new_e = _wrap_proxy_error(new_e, conn.proxy.scheme)
            elif isinstance(new_e, (OSError, HTTPException)):
                new_e = ProtocolError("Connection aborted.", new_e)
    
&gt;           retries = retries.increment(
                method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
            )

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:841: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = Retry(total=0, connect=None, read=None, redirect=None, status=None)
method = 'GET', url = '/v1/models', response = None
error = ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")
_pool = &lt;urllib3.connectionpool.HTTPConnectionPool object at 0x7f3675cc7d10&gt;
_stacktrace = &lt;traceback object at 0x7f3675076ec0&gt;

    def increment(
        self,
        method: str | None = None,
        url: str | None = None,
        response: BaseHTTPResponse | None = None,
        error: Exception | None = None,
        _pool: ConnectionPool | None = None,
        _stacktrace: TracebackType | None = None,
    ) -&gt; Self:
        """Return a new Retry object with incremented retry counters.
    
        :param response: A response object, or None, if the server did not
            return a response.
        :type response: :class:`~urllib3.response.BaseHTTPResponse`
        :param Exception error: An error encountered during the request, or
            None if the response was received successfully.
    
        :return: A new ``Retry`` object.
        """
        if self.total is False and error:
            # Disabled, indicate to re-raise the error.
            raise reraise(type(error), error, _stacktrace)
    
        total = self.total
        if total is not None:
            total -= 1
    
        connect = self.connect
        read = self.read
        redirect = self.redirect
        status_count = self.status
        other = self.other
        cause = "unknown"
        status = None
        redirect_location = None
    
        if error and self._is_connection_error(error):
            # Connect retry?
            if connect is False:
                raise reraise(type(error), error, _stacktrace)
            elif connect is not None:
                connect -= 1
    
        elif error and self._is_read_error(error):
            # Read retry?
            if read is False or method is None or not self._is_method_retryable(method):
                raise reraise(type(error), error, _stacktrace)
            elif read is not None:
                read -= 1
    
        elif error:
            # Other retry?
            if other is not None:
                other -= 1
    
        elif response and response.get_redirect_location():
            # Redirect retry?
            if redirect is not None:
                redirect -= 1
            cause = "too many redirects"
            response_redirect_location = response.get_redirect_location()
            if response_redirect_location:
                redirect_location = response_redirect_location
            status = response.status
    
        else:
            # Incrementing because of a server error like a 500 in
            # status_forcelist and the given method is in the allowed_methods
            cause = ResponseError.GENERIC_ERROR
            if response and response.status:
                if status_count is not None:
                    status_count -= 1
                cause = ResponseError.SPECIFIC_ERROR.format(status_code=response.status)
                status = response.status
    
        history = self.history + (
            RequestHistory(method, url, error, status, redirect_location),
        )
    
        new_retry = self.new(
            total=total,
            connect=connect,
            read=read,
            redirect=redirect,
            status=status_count,
            other=other,
            history=history,
        )
    
        if new_retry.is_exhausted():
            reason = error or ResponseError(cause)
&gt;           raise MaxRetryError(_pool, url, reason) from reason  # type: ignore[arg-type]
E           urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/models (Caused by ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)"))

../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/util/retry.py:519: MaxRetryError

During handling of the above exception, another exception occurred:

    def get_successful_response():
        try:
            if test_case.url_getter:
                service_url = test_case.url_getter(kserve_client, test_case.llm_service)
            else:
                service_url = get_llm_service_url(kserve_client, test_case.llm_service)
        except Exception as e:
            raise AssertionError(f"❌ Failed to get service URL: {e}") from e
    
        model_url = service_url + test_case.endpoint
    
        headers = {"Content-Type": "application/json"}
        if extra_headers:
            headers.update(extra_headers)
    
        if test_case.payload_formatter is not None:
            test_payload = test_case.payload_formatter(test_case)
        elif test_case.prompt is not None:
            test_payload = {
                "model": test_case.model_name
                if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers
                else extra_headers[MODEL_ROUTING_HEADER],
                "prompt": test_case.prompt,
                "max_tokens": test_case.max_tokens,
            }
        else:
            test_payload = None
    
        logger.info(f"Calling LLM service at {model_url} with payload {test_payload}")
        try:
            if test_payload is not None:
                response = post_with_retry(
                    model_url,
                    headers=headers,
                    json_data=test_payload,
                    timeout=test_case.response_timeout,
                )
            else:
&gt;               response = get_with_retry(
                    model_url,
                    headers=headers,
                    timeout=test_case.response_timeout,
                )

llmisvc/test_llm_inference_service.py:1102: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

url = 'http://a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com/v1/models'

    def get_with_retry(
        url: str,
        *,
        headers: Dict = None,
        timeout: float = None,
        total_retries: int = DEFAULT_RETRY_TOTAL,
        backoff_factor: float = DEFAULT_RETRY_BACKOFF_FACTOR,
        retry_status_codes=DEFAULT_RETRY_STATUS_CODES,
    ) -&gt; requests.Response:
        """
        Send GET request with retries for transient HTTP and network failures.
        """
        with _retry_session(
            ["GET"], total_retries, backoff_factor, retry_status_codes
        ) as session:
&gt;           return session.get(url, headers=headers, timeout=timeout)

common/http_retry.py:46: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;requests.sessions.Session object at 0x7f3675c98a10&gt;
url = 'http://a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com/v1/models'
kwargs = {'allow_redirects': True, 'headers': {'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}, 'timeout': 60}

    def get(self, url, **kwargs):
        r"""Sends a GET request. Returns :class:`Response` object.
    
        :param url: URL for the new :class:`Request` object.
        :param \*\*kwargs: Optional arguments that ``request`` takes.
        :rtype: requests.Response
        """
    
        kwargs.setdefault("allow_redirects", True)
&gt;       return self.request("GET", url, **kwargs)

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:602: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;requests.sessions.Session object at 0x7f3675c98a10&gt;, method = 'GET'
url = 'http://a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com/v1/models'
params = None, data = None
headers = {'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}
cookies = None, files = None, auth = None, timeout = 60, allow_redirects = True
proxies = {}, hooks = None, stream = None, verify = None, cert = None
json = None

    def request(
        self,
        method,
        url,
        params=None,
        data=None,
        headers=None,
        cookies=None,
        files=None,
        auth=None,
        timeout=None,
        allow_redirects=True,
        proxies=None,
        hooks=None,
        stream=None,
        verify=None,
        cert=None,
        json=None,
    ):
        """Constructs a :class:`Request &lt;Request&gt;`, prepares it and sends it.
        Returns :class:`Response &lt;Response&gt;` object.
    
        :param method: method for the new :class:`Request` object.
        :param url: URL for the new :class:`Request` object.
        :param params: (optional) Dictionary or bytes to be sent in the query
            string for the :class:`Request`.
        :param data: (optional) Dictionary, list of tuples, bytes, or file-like
            object to send in the body of the :class:`Request`.
        :param json: (optional) json to send in the body of the
            :class:`Request`.
        :param headers: (optional) Dictionary of HTTP Headers to send with the
            :class:`Request`.
        :param cookies: (optional) Dict or CookieJar object to send with the
            :class:`Request`.
        :param files: (optional) Dictionary of ``'filename': file-like-objects``
            for multipart encoding upload.
        :param auth: (optional) Auth tuple or callable to enable
            Basic/Digest/Custom HTTP Auth.
        :param timeout: (optional) How long to wait for the server to send
            data before giving up, as a float, or a :ref:`(connect timeout,
            read timeout) &lt;timeouts&gt;` tuple.
        :type timeout: float or tuple
        :param allow_redirects: (optional) Set to True by default.
        :type allow_redirects: bool
        :param proxies: (optional) Dictionary mapping protocol or protocol and
            hostname to the URL of the proxy.
        :param hooks: (optional) Dictionary mapping hook name to one event or
            list of events, event must be callable.
        :param stream: (optional) whether to immediately download the response
            content. Defaults to ``False``.
        :param verify: (optional) Either a boolean, in which case it controls whether we verify
            the server's TLS certificate, or a string, in which case it must be a path
            to a CA bundle to use. Defaults to ``True``. When set to
            ``False``, requests will accept any TLS certificate presented by
            the server, and will ignore hostname mismatches and/or expired
            certificates, which will make your application vulnerable to
            man-in-the-middle (MitM) attacks. Setting verify to ``False``
            may be useful during local development or testing.
        :param cert: (optional) if String, path to ssl client cert file (.pem).
            If Tuple, ('cert', 'key') pair.
        :rtype: requests.Response
        """
        # Create the Request.
        req = Request(
            method=method.upper(),
            url=url,
            headers=headers,
            files=files,
            data=data or {},
            json=json,
            params=params or {},
            auth=auth,
            cookies=cookies,
            hooks=hooks,
        )
        prep = self.prepare_request(req)
    
        proxies = proxies or {}
    
        settings = self.merge_environment_settings(
            prep.url, proxies, stream, verify, cert
        )
    
        # Send the request.
        send_kwargs = {
            "timeout": timeout,
            "allow_redirects": allow_redirects,
        }
        send_kwargs.update(settings)
&gt;       resp = self.send(prep, **send_kwargs)

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:589: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;requests.sessions.Session object at 0x7f3675c98a10&gt;
request = &lt;PreparedRequest [GET]&gt;
kwargs = {'cert': None, 'proxies': OrderedDict(), 'stream': False, 'timeout': 60, ...}
allow_redirects = True, stream = False, hooks = {'response': []}
adapter = &lt;requests.adapters.HTTPAdapter object at 0x7f3675cc7f90&gt;
start = 1782934237.6633985

    def send(self, request, **kwargs):
        """Send a given PreparedRequest.
    
        :rtype: requests.Response
        """
        # Set defaults that the hooks can utilize to ensure they always have
        # the correct parameters to reproduce the previous request.
        kwargs.setdefault("stream", self.stream)
        kwargs.setdefault("verify", self.verify)
        kwargs.setdefault("cert", self.cert)
        if "proxies" not in kwargs:
            kwargs["proxies"] = resolve_proxies(request, self.proxies, self.trust_env)
    
        # It's possible that users might accidentally send a Request object.
        # Guard against that specific failure case.
        if isinstance(request, Request):
            raise ValueError("You can only send PreparedRequests.")
    
        # Set up variables needed for resolve_redirects and dispatching of hooks
        allow_redirects = kwargs.pop("allow_redirects", True)
        stream = kwargs.get("stream")
        hooks = request.hooks
    
        # Get the appropriate adapter to use
        adapter = self.get_adapter(url=request.url)
    
        # Start time (approximately) of the request
        start = preferred_clock()
    
        # Send the request
&gt;       r = adapter.send(request, **kwargs)

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:703: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;requests.adapters.HTTPAdapter object at 0x7f3675cc7f90&gt;
request = &lt;PreparedRequest [GET]&gt;, stream = False
timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt'
cert = None, proxies = OrderedDict()

    def send(
        self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None
    ):
        """Sends PreparedRequest object. Returns Response object.
    
        :param request: The :class:`PreparedRequest &lt;PreparedRequest&gt;` being sent.
        :param stream: (optional) Whether to stream the request content.
        :param timeout: (optional) How long to wait for the server to send
            data before giving up, as a float, or a :ref:`(connect timeout,
            read timeout) &lt;timeouts&gt;` tuple.
        :type timeout: float or tuple or urllib3 Timeout object
        :param verify: (optional) Either a boolean, in which case it controls whether
            we verify the server's TLS certificate, or a string, in which case it
            must be a path to a CA bundle to use
        :param cert: (optional) Any user-provided SSL certificate to be trusted.
        :param proxies: (optional) The proxies dictionary to apply to the request.
        :rtype: requests.Response
        """
    
        try:
            conn = self.get_connection_with_tls_context(
                request, verify, proxies=proxies, cert=cert
            )
        except LocationValueError as e:
            raise InvalidURL(e, request=request)
    
        self.cert_verify(conn, request.url, verify, cert)
        url = self.request_url(request, proxies)
        self.add_headers(
            request,
            stream=stream,
            timeout=timeout,
            verify=verify,
            cert=cert,
            proxies=proxies,
        )
    
        chunked = not (request.body is None or "Content-Length" in request.headers)
    
        if isinstance(timeout, tuple):
            try:
                connect, read = timeout
                timeout = TimeoutSauce(connect=connect, read=read)
            except ValueError:
                raise ValueError(
                    f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, "
                    f"or a single float to set both timeouts to the same value."
                )
        elif isinstance(timeout, TimeoutSauce):
            pass
        else:
            timeout = TimeoutSauce(connect=timeout, read=timeout)
    
        try:
            resp = conn.urlopen(
                method=request.method,
                url=url,
                body=request.body,
                headers=request.headers,
                redirect=False,
                assert_same_host=False,
                preload_content=False,
                decode_content=False,
                retries=self.max_retries,
                timeout=timeout,
                chunked=chunked,
            )
    
        except (ProtocolError, OSError) as err:
            raise ConnectionError(err, request=request)
    
        except MaxRetryError as e:
            if isinstance(e.reason, ConnectTimeoutError):
                # TODO: Remove this in 3.0.0: see #2811
                if not isinstance(e.reason, NewConnectionError):
                    raise ConnectTimeout(e, request=request)
    
            if isinstance(e.reason, ResponseError):
                raise RetryError(e, request=request)
    
            if isinstance(e.reason, _ProxyError):
                raise ProxyError(e, request=request)
    
            if isinstance(e.reason, _SSLError):
                # This branch is for urllib3 v1.22 and later.
                raise SSLError(e, request=request)
    
&gt;           raise ConnectionError(e, request=request)
E           requests.exceptions.ConnectionError: HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/models (Caused by ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)"))

../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:700: ConnectionError

The above exception was the direct cause of the following exception:

test_case = TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m-with-lora-hf'], prompt=None, service_n...               {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]},
 'status': None}, model_name='facebook/opt-125m')

    @pytest.mark.llminferenceservice
    @pytest.mark.asyncio(loop_scope="session")
    @pytest.mark.parametrize(
        "test_case",
        [
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-gateway-ref",
                        "router-with-managed-route",
                        "model-fb-opt-125m",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="custom-route-timeout-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="router-with-refs-test",
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                            routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="custom-route-timeout-pd-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="router-with-refs-pd-test",
                    response_assertion=assert_200_with_choices,
                    expected_gateway=ROUTER_GATEWAYS[1],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[1]],
                            routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-dp-ep-gpu",
                        "workload-dp-ep-prefill-gpu",
                        "model-deepseek-v2-lite",
                    ],
                    prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically "
                    "where the compute plane (P) and the data plane (D) are independently deployed and managed for a "
                    "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the "
                    "fundamental challenges of network latency and data consistency, elaborate on the advanced "
                    "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: "
                    "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to "
                    "evolve to support optimal performance and minimize inter-plane communication overhead, especially for "
                    "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically "
                    "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: "
                    "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) "
                    "and their applicability in balancing performance and data integrity across a globally distributed data plane. "
                    "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, "
                    "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. "
                    "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently "
                    "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, "
                    "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). "
                    "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on "
                    "workload patterns and data locality, potentially involving live migration strategies. "
                    "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter "
                    "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), "
                    "fine-grained access control to data at rest and in motion, and identity management across disaggregated "
                    "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) "
                    "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: "
                    "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and "
                    "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) "
                    "would be essential? How would incident response and troubleshooting differ in this disaggregated environment "
                    "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across "
                    "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries "
                    "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) "
                    "where the benefits of P/D disaggregation would strongly outweigh its complexities. "
                    "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions "
                    "directly interacting with object storage, in-memory disaggregation) that could further drive or "
                    "transform P/D disaggregation in cloud computing.",
                    max_tokens=2000,
                ),
                marks=[
                    pytest.mark.cluster_gpu,
                    pytest.mark.cluster_nvidia,
                    pytest.mark.cluster_nvidia_roce,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-no-scheduler",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="What is KServe?",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.no_scheduler,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, "
                    "but without the resources requirements for DP+EP (GPUs and ROCe/IB).",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node],
            ),
            # Scheduler config tests
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-inline-config",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-inline-config-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Chat completions endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                        "model-qwen2.5-0.5b",
                    ],
                    model_name="Qwen/Qwen2.5-0.5B-Instruct",
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-configmap-ref",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-configmap-ref-test",
                    before_test=[create_scheduler_configmap],
                    after_test=[delete_scheduler_configmap],
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-replicas",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-ha-replicas-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-custom-template",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-custom-template-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Scheduler v0.6 → v0.7 migration tests.
            # Deploy v0.6-style configs and verify the controller migrates them
            # so the v0.7 scheduler boots successfully.
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-pd-config-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-pd-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-nonzero-threshold-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-threshold-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Precise prefix KV cache routing test
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-precise-prefix-cache-inline-config",
                        "workload-llmd-simulator-kvcache",
                    ],
                    prompt="KServe is a",
                    service_name="precise-prefix-cache-test",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Models endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/models",
                    response_assertion=create_response_assertion(with_field="data"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/completions",
                            prompt="KServe is a",
                            payload_formatter=completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/chat/completions",
                            prompt="What is KServe?",
                            payload_formatter=chat_completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — LoRA adapter
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches(
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1"
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA)
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/models",
                    response_assertion=assert_models_contains(
                        "facebook/opt-125m",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                        "lora-adapter-1",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # PVC storage tests -- validate direct PVC volume mount with real vLLM serving
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-pd-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_multi_node,
                    pytest.mark.pvc_storage,
                ],
            ),
        ],
        indirect=["test_case"],
        ids=generate_test_id,
    )
    @log_execution
    def test_llm_inference_service(test_case: TestCase):  # noqa: F811
        inject_k8s_proxy()
    
        kserve_client = KServeClient(
            config_file=os.environ.get("KUBECONFIG", "~/.kube/config"),
            client_configuration=client.Configuration(),
        )
    
        service_name = test_case.llm_service.metadata.name
        if not test_case.llm_service.metadata.annotations:
            test_case.llm_service.metadata.annotations = {}
    
        test_case.llm_service.metadata.annotations[
            "security.opendatahub.io/enable-auth"
        ] = "false"
        prefix = test_case.log_prefix
    
        test_failed = False
        try:
            print(f"{prefix} Creating LLMInferenceService {service_name}")
            create_llmisvc(kserve_client, test_case.llm_service)
            print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready")
            wait_for_llm_isvc_ready(
                kserve_client, test_case.llm_service, test_case.wait_timeout
            )
            print(f"{prefix} Waiting for model response from {service_name}")
&gt;           wait_for_model_response(
                kserve_client,
                test_case,
                test_case.wait_timeout,
                extra_headers=test_case.extra_headers,
            )

llmisvc/test_llm_inference_service.py:816: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (&lt;kserve.api.kserve_client.KServeClient object at 0x7f367633d050&gt;, TestCase(base_refs=['router-managed', 'workload-sin...         {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]},
 'status': None}, model_name='facebook/opt-125m'), 900)
kwargs = {'extra_headers': {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}}
func_name = 'wait_for_model_response'
timestamp_start = '2026-07-01T19:30:37.652116', start_time = 1782934237.6524117
duration = 904.6251056194305, timestamp_end = '2026-07-01T19:45:42.277520'

    @functools.wraps(func)
    def wrapper(*args, **kwargs):
        func_name = func.__name__
    
        timestamp_start = datetime.now().isoformat()
        logger.info(
            f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}"
        )
        start_time = time.time()
    
        try:
&gt;           result = func(*args, **kwargs)

llmisvc/logging.py:40: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

kserve_client = &lt;kserve.api.kserve_client.KServeClient object at 0x7f367633d050&gt;
test_case = TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m-with-lora-hf'], prompt=None, service_n...               {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]},
 'status': None}, model_name='facebook/opt-125m')
timeout_seconds = 900
extra_headers = {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}

    @log_execution
    def wait_for_model_response(
        kserve_client: KServeClient,
        test_case: TestCase,  # noqa: F811
        timeout_seconds: int = 900,
        extra_headers: Optional[Dict[str, str]] = None,
    ) -&gt; str:
        def get_successful_response():
            try:
                if test_case.url_getter:
                    service_url = test_case.url_getter(kserve_client, test_case.llm_service)
                else:
                    service_url = get_llm_service_url(kserve_client, test_case.llm_service)
            except Exception as e:
                raise AssertionError(f"❌ Failed to get service URL: {e}") from e
    
            model_url = service_url + test_case.endpoint
    
            headers = {"Content-Type": "application/json"}
            if extra_headers:
                headers.update(extra_headers)
    
            if test_case.payload_formatter is not None:
                test_payload = test_case.payload_formatter(test_case)
            elif test_case.prompt is not None:
                test_payload = {
                    "model": test_case.model_name
                    if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers
                    else extra_headers[MODEL_ROUTING_HEADER],
                    "prompt": test_case.prompt,
                    "max_tokens": test_case.max_tokens,
                }
            else:
                test_payload = None
    
            logger.info(f"Calling LLM service at {model_url} with payload {test_payload}")
            try:
                if test_payload is not None:
                    response = post_with_retry(
                        model_url,
                        headers=headers,
                        json_data=test_payload,
                        timeout=test_case.response_timeout,
                    )
                else:
                    response = get_with_retry(
                        model_url,
                        headers=headers,
                        timeout=test_case.response_timeout,
                    )
            except Exception as e:
                logger.error(f"❌ Failed to call model: {e}")
                raise AssertionError(f"❌ Failed to call model: {e}") from e
    
            logger.info(f"Model response is {response.status_code}: {response.text[:500]}")
    
            if 200 &lt;= response.status_code &lt; 300:
                return response
            raise AssertionError(
                f"Service returned {response.status_code}: {response.text}"
            )
    
&gt;       response = wait_for(get_successful_response, timeout=timeout_seconds, interval=5.0)

llmisvc/test_llm_inference_service.py:1119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

assertion_fn = &lt;function wait_for_model_response.&lt;locals&gt;.get_successful_response at 0x7f3675bb47c0&gt;
timeout = 900, interval = 5.0

    def wait_for(
        assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1
    ) -&gt; Any:
        """Wait for the assertion to succeed within timeout."""
        deadline = time.time() + timeout
        last_msg = None
        while True:
            try:
&gt;               return assertion_fn()

llmisvc/test_llm_inference_service.py:1215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

    def get_successful_response():
        try:
            if test_case.url_getter:
                service_url = test_case.url_getter(kserve_client, test_case.llm_service)
            else:
                service_url = get_llm_service_url(kserve_client, test_case.llm_service)
        except Exception as e:
            raise AssertionError(f"❌ Failed to get service URL: {e}") from e
    
        model_url = service_url + test_case.endpoint
    
        headers = {"Content-Type": "application/json"}
        if extra_headers:
            headers.update(extra_headers)
    
        if test_case.payload_formatter is not None:
            test_payload = test_case.payload_formatter(test_case)
        elif test_case.prompt is not None:
            test_payload = {
                "model": test_case.model_name
                if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers
                else extra_headers[MODEL_ROUTING_HEADER],
                "prompt": test_case.prompt,
                "max_tokens": test_case.max_tokens,
            }
        else:
            test_payload = None
    
        logger.info(f"Calling LLM service at {model_url} with payload {test_payload}")
        try:
            if test_payload is not None:
                response = post_with_retry(
                    model_url,
                    headers=headers,
                    json_data=test_payload,
                    timeout=test_case.response_timeout,
                )
            else:
                response = get_with_retry(
                    model_url,
                    headers=headers,
                    timeout=test_case.response_timeout,
                )
        except Exception as e:
            logger.error(f"❌ Failed to call model: {e}")
&gt;           raise AssertionError(f"❌ Failed to call model: {e}") from e
E           AssertionError: ❌ Failed to call model: HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/models (Caused by ReadTimeoutError("HTTPConnectionPool(host='a9f9759ad4d9c4ab1b2189d3fb8a832d-1782247862.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)"))

llmisvc/test_llm_inference_service.py:1109: AssertionError</failure></testcase><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-refs-scheduler-managed-workload-single-cpu-model-fb-opt-125m]" time="905.659"><failure message="AssertionError: Missing true conditions: {'RouterReady', 'Ready'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-01T19:35:01Z', 'severity': 'Info', 'status': 'True', 'type': 'GatewaysReady'}, {'lastTransitionTime': '2026-07-01T19:35:01Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/router-route-1: &quot;False&quot; (reason &quot;InvalidKind&quot;, message &quot;referencing unsupported backendRef: group \\&quot;inference.networking.x-k8s.io\\&quot; kind \\&quot;InferencePool\\&quot;&quot;)]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-01T19:35:01Z', 'message': 'Inference Pool kserve-ci-e2e-test/router-with-refs-test-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-01T19:37:04Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-01T19:35:01Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-01T19:35:01Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/router-route-1: &quot;False&quot; (reason &quot;InvalidKind&quot;, message &quot;referencing unsupported backendRef: group \\&quot;inference.networking.x-k8s.io\\&quot; kind \\&quot;InferencePool\\&quot;&quot;)]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-01T19:35:01Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/router-route-1: &quot;False&quot; (reason &quot;InvalidKind&quot;, message &quot;referencing unsupported backendRef: group \\&quot;inference.networking.x-k8s.io\\&quot; kind \\&quot;InferencePool\\&quot;&quot;)]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-01T19:35:28Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-01T19:37:04Z', 'status': 'True', 'type': 'WorkloadsReady'}]">test_case = TestCase(base_refs=['router-with-refs', 'scheduler-managed', 'workload-single-cpu', 'model-fb-opt-125m'], prompt='KSer...              {'name': 'model-fb-opt-125m-router-with-r-6d64416a'}]},
 'status': None}, model_name='facebook/opt-125m')

    @pytest.mark.llminferenceservice
    @pytest.mark.asyncio(loop_scope="session")
    @pytest.mark.parametrize(
        "test_case",
        [
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-gateway-ref",
                        "router-with-managed-route",
                        "model-fb-opt-125m",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="custom-route-timeout-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="router-with-refs-test",
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                            routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="custom-route-timeout-pd-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="router-with-refs-pd-test",
                    response_assertion=assert_200_with_choices,
                    expected_gateway=ROUTER_GATEWAYS[1],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[1]],
                            routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-dp-ep-gpu",
                        "workload-dp-ep-prefill-gpu",
                        "model-deepseek-v2-lite",
                    ],
                    prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically "
                    "where the compute plane (P) and the data plane (D) are independently deployed and managed for a "
                    "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the "
                    "fundamental challenges of network latency and data consistency, elaborate on the advanced "
                    "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: "
                    "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to "
                    "evolve to support optimal performance and minimize inter-plane communication overhead, especially for "
                    "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically "
                    "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: "
                    "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) "
                    "and their applicability in balancing performance and data integrity across a globally distributed data plane. "
                    "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, "
                    "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. "
                    "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently "
                    "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, "
                    "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). "
                    "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on "
                    "workload patterns and data locality, potentially involving live migration strategies. "
                    "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter "
                    "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), "
                    "fine-grained access control to data at rest and in motion, and identity management across disaggregated "
                    "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) "
                    "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: "
                    "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and "
                    "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) "
                    "would be essential? How would incident response and troubleshooting differ in this disaggregated environment "
                    "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across "
                    "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries "
                    "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) "
                    "where the benefits of P/D disaggregation would strongly outweigh its complexities. "
                    "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions "
                    "directly interacting with object storage, in-memory disaggregation) that could further drive or "
                    "transform P/D disaggregation in cloud computing.",
                    max_tokens=2000,
                ),
                marks=[
                    pytest.mark.cluster_gpu,
                    pytest.mark.cluster_nvidia,
                    pytest.mark.cluster_nvidia_roce,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-no-scheduler",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="What is KServe?",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.no_scheduler,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, "
                    "but without the resources requirements for DP+EP (GPUs and ROCe/IB).",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node],
            ),
            # Scheduler config tests
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-inline-config",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-inline-config-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Chat completions endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                        "model-qwen2.5-0.5b",
                    ],
                    model_name="Qwen/Qwen2.5-0.5B-Instruct",
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-configmap-ref",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-configmap-ref-test",
                    before_test=[create_scheduler_configmap],
                    after_test=[delete_scheduler_configmap],
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-replicas",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-ha-replicas-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-custom-template",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-custom-template-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Scheduler v0.6 → v0.7 migration tests.
            # Deploy v0.6-style configs and verify the controller migrates them
            # so the v0.7 scheduler boots successfully.
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-pd-config-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-pd-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-nonzero-threshold-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-threshold-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Precise prefix KV cache routing test
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-precise-prefix-cache-inline-config",
                        "workload-llmd-simulator-kvcache",
                    ],
                    prompt="KServe is a",
                    service_name="precise-prefix-cache-test",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Models endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/models",
                    response_assertion=create_response_assertion(with_field="data"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/completions",
                            prompt="KServe is a",
                            payload_formatter=completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/chat/completions",
                            prompt="What is KServe?",
                            payload_formatter=chat_completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — LoRA adapter
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches(
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1"
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA)
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/models",
                    response_assertion=assert_models_contains(
                        "facebook/opt-125m",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                        "lora-adapter-1",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # PVC storage tests -- validate direct PVC volume mount with real vLLM serving
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-pd-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_multi_node,
                    pytest.mark.pvc_storage,
                ],
            ),
        ],
        indirect=["test_case"],
        ids=generate_test_id,
    )
    @log_execution
    def test_llm_inference_service(test_case: TestCase):  # noqa: F811
        inject_k8s_proxy()
    
        kserve_client = KServeClient(
            config_file=os.environ.get("KUBECONFIG", "~/.kube/config"),
            client_configuration=client.Configuration(),
        )
    
        service_name = test_case.llm_service.metadata.name
        if not test_case.llm_service.metadata.annotations:
            test_case.llm_service.metadata.annotations = {}
    
        test_case.llm_service.metadata.annotations[
            "security.opendatahub.io/enable-auth"
        ] = "false"
        prefix = test_case.log_prefix
    
        test_failed = False
        try:
            print(f"{prefix} Creating LLMInferenceService {service_name}")
            create_llmisvc(kserve_client, test_case.llm_service)
            print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready")
&gt;           wait_for_llm_isvc_ready(
                kserve_client, test_case.llm_service, test_case.wait_timeout
            )

llmisvc/test_llm_inference_service.py:812: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (&lt;kserve.api.kserve_client.KServeClient object at 0x7efcce7ea510&gt;, {'api_version': 'serving.kserve.io/v1alpha1',
 'kin...-with-ec5d4bfa'},
                       {'name': 'model-fb-opt-125m-router-with-r-6d64416a'}]},
 'status': None}, 900)
kwargs = {}, func_name = 'wait_for_llm_isvc_ready'
timestamp_start = '2026-07-01T19:34:45.741728', start_time = 1782934485.742001
duration = 900.1014969348907, timestamp_end = '2026-07-01T19:49:45.843515'

    @functools.wraps(func)
    def wrapper(*args, **kwargs):
        func_name = func.__name__
    
        timestamp_start = datetime.now().isoformat()
        logger.info(
            f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}"
        )
        start_time = time.time()
    
        try:
&gt;           result = func(*args, **kwargs)

llmisvc/logging.py:40: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

kserve_client = &lt;kserve.api.kserve_client.KServeClient object at 0x7efcce7ea510&gt;
given = {'api_version': 'serving.kserve.io/v1alpha1',
 'kind': 'LLMInferenceService',
 'metadata': {'annotations': {'security....router-with-ec5d4bfa'},
                       {'name': 'model-fb-opt-125m-router-with-r-6d64416a'}]},
 'status': None}
timeout_seconds = 900

    @log_execution
    def wait_for_llm_isvc_ready(
        kserve_client: KServeClient,
        given: V1alpha1LLMInferenceService,
        timeout_seconds: int = 900,
    ) -&gt; str:
        def assert_llm_isvc_ready():
            out = get_llmisvc(
                kserve_client,
                given.metadata.name,
                given.metadata.namespace,
                given.api_version.split("/")[1],
            )
    
            if "status" not in out:
                raise AssertionError("No status found in LLM inference service")
    
            status = out["status"]
            if "conditions" not in status:
                raise AssertionError("No conditions found in status")
    
            expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"}
            got_true_conditions = set()
    
            conditions = status["conditions"]
    
            for condition in conditions:
                if condition.get("status") == "True":
                    got_true_conditions.add(condition.get("type"))
    
            missing_conditions = expected_true_conditions - got_true_conditions
            if missing_conditions:
                raise AssertionError(
                    f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}"
                )
            return True
    
&gt;       return wait_for(assert_llm_isvc_ready, timeout=timeout_seconds, interval=1.0)

llmisvc/test_llm_inference_service.py:1204: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

assertion_fn = &lt;function wait_for_llm_isvc_ready.&lt;locals&gt;.assert_llm_isvc_ready at 0x7efcce1960c0&gt;
timeout = 900, interval = 1.0

    def wait_for(
        assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1
    ) -&gt; Any:
        """Wait for the assertion to succeed within timeout."""
        deadline = time.time() + timeout
        last_msg = None
        while True:
            try:
&gt;               return assertion_fn()

llmisvc/test_llm_inference_service.py:1215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

    def assert_llm_isvc_ready():
        out = get_llmisvc(
            kserve_client,
            given.metadata.name,
            given.metadata.namespace,
            given.api_version.split("/")[1],
        )
    
        if "status" not in out:
            raise AssertionError("No status found in LLM inference service")
    
        status = out["status"]
        if "conditions" not in status:
            raise AssertionError("No conditions found in status")
    
        expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"}
        got_true_conditions = set()
    
        conditions = status["conditions"]
    
        for condition in conditions:
            if condition.get("status") == "True":
                got_true_conditions.add(condition.get("type"))
    
        missing_conditions = expected_true_conditions - got_true_conditions
        if missing_conditions:
&gt;           raise AssertionError(
                f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}"
            )
E           AssertionError: Missing true conditions: {'RouterReady', 'Ready'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-01T19:35:01Z', 'severity': 'Info', 'status': 'True', 'type': 'GatewaysReady'}, {'lastTransitionTime': '2026-07-01T19:35:01Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/router-route-1: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-01T19:35:01Z', 'message': 'Inference Pool kserve-ci-e2e-test/router-with-refs-test-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-01T19:37:04Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-01T19:35:01Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-01T19:35:01Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/router-route-1: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-01T19:35:01Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/router-route-1: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-01T19:35:28Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-01T19:37:04Z', 'status': 'True', 'type': 'WorkloadsReady'}]

llmisvc/test_llm_inference_service.py:1199: AssertionError</failure></testcase><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-pvc]" time="923.143"><failure message="AssertionError: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'RouterReady', 'WorkloadsReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-01T19:46:31Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-01T19:46:31Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-01T19:46:31Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-01T19:46:10Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-01T19:46:31Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-01T19:46:43Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-01T19:46:43Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-01T19:46:31Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}]">test_case = TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-pvc'], prompt='KServe is a', service_name='llmisvc...              {'name': 'model-pvc-llmisvc-model-pvc-rou-7b41e44b'}]},
 'status': None}, model_name='facebook/opt-125m')

    @pytest.mark.llminferenceservice
    @pytest.mark.asyncio(loop_scope="session")
    @pytest.mark.parametrize(
        "test_case",
        [
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-gateway-ref",
                        "router-with-managed-route",
                        "model-fb-opt-125m",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="custom-route-timeout-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="router-with-refs-test",
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                            routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="custom-route-timeout-pd-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="router-with-refs-pd-test",
                    response_assertion=assert_200_with_choices,
                    expected_gateway=ROUTER_GATEWAYS[1],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[1]],
                            routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-dp-ep-gpu",
                        "workload-dp-ep-prefill-gpu",
                        "model-deepseek-v2-lite",
                    ],
                    prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically "
                    "where the compute plane (P) and the data plane (D) are independently deployed and managed for a "
                    "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the "
                    "fundamental challenges of network latency and data consistency, elaborate on the advanced "
                    "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: "
                    "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to "
                    "evolve to support optimal performance and minimize inter-plane communication overhead, especially for "
                    "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically "
                    "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: "
                    "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) "
                    "and their applicability in balancing performance and data integrity across a globally distributed data plane. "
                    "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, "
                    "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. "
                    "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently "
                    "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, "
                    "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). "
                    "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on "
                    "workload patterns and data locality, potentially involving live migration strategies. "
                    "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter "
                    "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), "
                    "fine-grained access control to data at rest and in motion, and identity management across disaggregated "
                    "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) "
                    "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: "
                    "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and "
                    "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) "
                    "would be essential? How would incident response and troubleshooting differ in this disaggregated environment "
                    "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across "
                    "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries "
                    "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) "
                    "where the benefits of P/D disaggregation would strongly outweigh its complexities. "
                    "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions "
                    "directly interacting with object storage, in-memory disaggregation) that could further drive or "
                    "transform P/D disaggregation in cloud computing.",
                    max_tokens=2000,
                ),
                marks=[
                    pytest.mark.cluster_gpu,
                    pytest.mark.cluster_nvidia,
                    pytest.mark.cluster_nvidia_roce,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-no-scheduler",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="What is KServe?",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.no_scheduler,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, "
                    "but without the resources requirements for DP+EP (GPUs and ROCe/IB).",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node],
            ),
            # Scheduler config tests
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-inline-config",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-inline-config-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Chat completions endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                        "model-qwen2.5-0.5b",
                    ],
                    model_name="Qwen/Qwen2.5-0.5B-Instruct",
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-configmap-ref",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-configmap-ref-test",
                    before_test=[create_scheduler_configmap],
                    after_test=[delete_scheduler_configmap],
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-replicas",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-ha-replicas-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-custom-template",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-custom-template-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Scheduler v0.6 → v0.7 migration tests.
            # Deploy v0.6-style configs and verify the controller migrates them
            # so the v0.7 scheduler boots successfully.
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-pd-config-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-pd-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-nonzero-threshold-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-threshold-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Precise prefix KV cache routing test
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-precise-prefix-cache-inline-config",
                        "workload-llmd-simulator-kvcache",
                    ],
                    prompt="KServe is a",
                    service_name="precise-prefix-cache-test",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Models endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/models",
                    response_assertion=create_response_assertion(with_field="data"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/completions",
                            prompt="KServe is a",
                            payload_formatter=completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/chat/completions",
                            prompt="What is KServe?",
                            payload_formatter=chat_completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — LoRA adapter
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches(
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1"
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA)
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/models",
                    response_assertion=assert_models_contains(
                        "facebook/opt-125m",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                        "lora-adapter-1",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # PVC storage tests -- validate direct PVC volume mount with real vLLM serving
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-pd-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_multi_node,
                    pytest.mark.pvc_storage,
                ],
            ),
        ],
        indirect=["test_case"],
        ids=generate_test_id,
    )
    @log_execution
    def test_llm_inference_service(test_case: TestCase):  # noqa: F811
        inject_k8s_proxy()
    
        kserve_client = KServeClient(
            config_file=os.environ.get("KUBECONFIG", "~/.kube/config"),
            client_configuration=client.Configuration(),
        )
    
        service_name = test_case.llm_service.metadata.name
        if not test_case.llm_service.metadata.annotations:
            test_case.llm_service.metadata.annotations = {}
    
        test_case.llm_service.metadata.annotations[
            "security.opendatahub.io/enable-auth"
        ] = "false"
        prefix = test_case.log_prefix
    
        test_failed = False
        try:
            print(f"{prefix} Creating LLMInferenceService {service_name}")
            create_llmisvc(kserve_client, test_case.llm_service)
            print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready")
&gt;           wait_for_llm_isvc_ready(
                kserve_client, test_case.llm_service, test_case.wait_timeout
            )

llmisvc/test_llm_inference_service.py:812: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (&lt;kserve.api.kserve_client.KServeClient object at 0x7f3676eac510&gt;, {'api_version': 'serving.kserve.io/v1alpha1',
 'kin...c-mod-0fdbe7a1'},
                       {'name': 'model-pvc-llmisvc-model-pvc-rou-7b41e44b'}]},
 'status': None}, 900)
kwargs = {}, func_name = 'wait_for_llm_isvc_ready'
timestamp_start = '2026-07-01T19:46:04.935193', start_time = 1782935164.935449
duration = 900.9380688667297, timestamp_end = '2026-07-01T20:01:05.873525'

    @functools.wraps(func)
    def wrapper(*args, **kwargs):
        func_name = func.__name__
    
        timestamp_start = datetime.now().isoformat()
        logger.info(
            f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}"
        )
        start_time = time.time()
    
        try:
&gt;           result = func(*args, **kwargs)

llmisvc/logging.py:40: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

kserve_client = &lt;kserve.api.kserve_client.KServeClient object at 0x7f3676eac510&gt;
given = {'api_version': 'serving.kserve.io/v1alpha1',
 'kind': 'LLMInferenceService',
 'metadata': {'annotations': {'security....llmisvc-mod-0fdbe7a1'},
                       {'name': 'model-pvc-llmisvc-model-pvc-rou-7b41e44b'}]},
 'status': None}
timeout_seconds = 900

    @log_execution
    def wait_for_llm_isvc_ready(
        kserve_client: KServeClient,
        given: V1alpha1LLMInferenceService,
        timeout_seconds: int = 900,
    ) -&gt; str:
        def assert_llm_isvc_ready():
            out = get_llmisvc(
                kserve_client,
                given.metadata.name,
                given.metadata.namespace,
                given.api_version.split("/")[1],
            )
    
            if "status" not in out:
                raise AssertionError("No status found in LLM inference service")
    
            status = out["status"]
            if "conditions" not in status:
                raise AssertionError("No conditions found in status")
    
            expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"}
            got_true_conditions = set()
    
            conditions = status["conditions"]
    
            for condition in conditions:
                if condition.get("status") == "True":
                    got_true_conditions.add(condition.get("type"))
    
            missing_conditions = expected_true_conditions - got_true_conditions
            if missing_conditions:
                raise AssertionError(
                    f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}"
                )
            return True
    
&gt;       return wait_for(assert_llm_isvc_ready, timeout=timeout_seconds, interval=1.0)

llmisvc/test_llm_inference_service.py:1204: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

assertion_fn = &lt;function wait_for_llm_isvc_ready.&lt;locals&gt;.assert_llm_isvc_ready at 0x7f3675bb4400&gt;
timeout = 900, interval = 1.0

    def wait_for(
        assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1
    ) -&gt; Any:
        """Wait for the assertion to succeed within timeout."""
        deadline = time.time() + timeout
        last_msg = None
        while True:
            try:
&gt;               return assertion_fn()

llmisvc/test_llm_inference_service.py:1215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

    def assert_llm_isvc_ready():
        out = get_llmisvc(
            kserve_client,
            given.metadata.name,
            given.metadata.namespace,
            given.api_version.split("/")[1],
        )
    
        if "status" not in out:
            raise AssertionError("No status found in LLM inference service")
    
        status = out["status"]
        if "conditions" not in status:
            raise AssertionError("No conditions found in status")
    
        expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"}
        got_true_conditions = set()
    
        conditions = status["conditions"]
    
        for condition in conditions:
            if condition.get("status") == "True":
                got_true_conditions.add(condition.get("type"))
    
        missing_conditions = expected_true_conditions - got_true_conditions
        if missing_conditions:
&gt;           raise AssertionError(
                f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}"
            )
E           AssertionError: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'RouterReady', 'WorkloadsReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-01T19:46:31Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-01T19:46:31Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-01T19:46:31Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-01T19:46:10Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-01T19:46:31Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-01T19:46:43Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-01T19:46:43Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-01T19:46:31Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}]

llmisvc/test_llm_inference_service.py:1199: AssertionError</failure></testcase><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-pd-cpu-model-fb-opt-125m]" time="510.013" /><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m]" time="464.764" /><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-pd-cpu-model-pvc]" time="903.660"><failure message="AssertionError: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'RouterReady', 'WorkloadsReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-01T20:01:43Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-01T20:01:43Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-01T20:01:43Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-01T20:01:43Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-01T20:01:19Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-01T20:01:43Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-01T20:02:03Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-01T20:02:03Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-01T20:01:43Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}]">test_case = TestCase(base_refs=['router-managed', 'workload-pd-cpu', 'model-pvc'], prompt='KServe is a', service_name='llmisvc-mod...              {'name': 'model-pvc-llmisvc-model-pvc-rou-49c1f027'}]},
 'status': None}, model_name='facebook/opt-125m')

    @pytest.mark.llminferenceservice
    @pytest.mark.asyncio(loop_scope="session")
    @pytest.mark.parametrize(
        "test_case",
        [
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-gateway-ref",
                        "router-with-managed-route",
                        "model-fb-opt-125m",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="custom-route-timeout-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="router-with-refs-test",
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                            routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="custom-route-timeout-pd-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="router-with-refs-pd-test",
                    response_assertion=assert_200_with_choices,
                    expected_gateway=ROUTER_GATEWAYS[1],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[1]],
                            routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-dp-ep-gpu",
                        "workload-dp-ep-prefill-gpu",
                        "model-deepseek-v2-lite",
                    ],
                    prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically "
                    "where the compute plane (P) and the data plane (D) are independently deployed and managed for a "
                    "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the "
                    "fundamental challenges of network latency and data consistency, elaborate on the advanced "
                    "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: "
                    "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to "
                    "evolve to support optimal performance and minimize inter-plane communication overhead, especially for "
                    "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically "
                    "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: "
                    "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) "
                    "and their applicability in balancing performance and data integrity across a globally distributed data plane. "
                    "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, "
                    "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. "
                    "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently "
                    "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, "
                    "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). "
                    "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on "
                    "workload patterns and data locality, potentially involving live migration strategies. "
                    "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter "
                    "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), "
                    "fine-grained access control to data at rest and in motion, and identity management across disaggregated "
                    "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) "
                    "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: "
                    "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and "
                    "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) "
                    "would be essential? How would incident response and troubleshooting differ in this disaggregated environment "
                    "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across "
                    "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries "
                    "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) "
                    "where the benefits of P/D disaggregation would strongly outweigh its complexities. "
                    "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions "
                    "directly interacting with object storage, in-memory disaggregation) that could further drive or "
                    "transform P/D disaggregation in cloud computing.",
                    max_tokens=2000,
                ),
                marks=[
                    pytest.mark.cluster_gpu,
                    pytest.mark.cluster_nvidia,
                    pytest.mark.cluster_nvidia_roce,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-no-scheduler",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="What is KServe?",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.no_scheduler,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, "
                    "but without the resources requirements for DP+EP (GPUs and ROCe/IB).",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node],
            ),
            # Scheduler config tests
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-inline-config",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-inline-config-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Chat completions endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                        "model-qwen2.5-0.5b",
                    ],
                    model_name="Qwen/Qwen2.5-0.5B-Instruct",
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-configmap-ref",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-configmap-ref-test",
                    before_test=[create_scheduler_configmap],
                    after_test=[delete_scheduler_configmap],
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-replicas",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-ha-replicas-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-custom-template",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-custom-template-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Scheduler v0.6 → v0.7 migration tests.
            # Deploy v0.6-style configs and verify the controller migrates them
            # so the v0.7 scheduler boots successfully.
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-pd-config-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-pd-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-nonzero-threshold-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-threshold-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Precise prefix KV cache routing test
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-precise-prefix-cache-inline-config",
                        "workload-llmd-simulator-kvcache",
                    ],
                    prompt="KServe is a",
                    service_name="precise-prefix-cache-test",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Models endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/models",
                    response_assertion=create_response_assertion(with_field="data"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/completions",
                            prompt="KServe is a",
                            payload_formatter=completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/chat/completions",
                            prompt="What is KServe?",
                            payload_formatter=chat_completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — LoRA adapter
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches(
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1"
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA)
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/models",
                    response_assertion=assert_models_contains(
                        "facebook/opt-125m",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                        "lora-adapter-1",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # PVC storage tests -- validate direct PVC volume mount with real vLLM serving
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-pd-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_multi_node,
                    pytest.mark.pvc_storage,
                ],
            ),
        ],
        indirect=["test_case"],
        ids=generate_test_id,
    )
    @log_execution
    def test_llm_inference_service(test_case: TestCase):  # noqa: F811
        inject_k8s_proxy()
    
        kserve_client = KServeClient(
            config_file=os.environ.get("KUBECONFIG", "~/.kube/config"),
            client_configuration=client.Configuration(),
        )
    
        service_name = test_case.llm_service.metadata.name
        if not test_case.llm_service.metadata.annotations:
            test_case.llm_service.metadata.annotations = {}
    
        test_case.llm_service.metadata.annotations[
            "security.opendatahub.io/enable-auth"
        ] = "false"
        prefix = test_case.log_prefix
    
        test_failed = False
        try:
            print(f"{prefix} Creating LLMInferenceService {service_name}")
            create_llmisvc(kserve_client, test_case.llm_service)
            print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready")
&gt;           wait_for_llm_isvc_ready(
                kserve_client, test_case.llm_service, test_case.wait_timeout
            )

llmisvc/test_llm_inference_service.py:812: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (&lt;kserve.api.kserve_client.KServeClient object at 0x7f3675d54190&gt;, {'api_version': 'serving.kserve.io/v1alpha1',
 'kin...del-p-9d807ba3'},
                       {'name': 'model-pvc-llmisvc-model-pvc-rou-49c1f027'}]},
 'status': None}, 900)
kwargs = {}, func_name = 'wait_for_llm_isvc_ready'
timestamp_start = '2026-07-01T20:01:08.444067', start_time = 1782936068.4442942
duration = 900.7983694076538, timestamp_end = '2026-07-01T20:16:09.242670'

    @functools.wraps(func)
    def wrapper(*args, **kwargs):
        func_name = func.__name__
    
        timestamp_start = datetime.now().isoformat()
        logger.info(
            f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}"
        )
        start_time = time.time()
    
        try:
&gt;           result = func(*args, **kwargs)

llmisvc/logging.py:40: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

kserve_client = &lt;kserve.api.kserve_client.KServeClient object at 0x7f3675d54190&gt;
given = {'api_version': 'serving.kserve.io/v1alpha1',
 'kind': 'LLMInferenceService',
 'metadata': {'annotations': {'security....svc-model-p-9d807ba3'},
                       {'name': 'model-pvc-llmisvc-model-pvc-rou-49c1f027'}]},
 'status': None}
timeout_seconds = 900

    @log_execution
    def wait_for_llm_isvc_ready(
        kserve_client: KServeClient,
        given: V1alpha1LLMInferenceService,
        timeout_seconds: int = 900,
    ) -&gt; str:
        def assert_llm_isvc_ready():
            out = get_llmisvc(
                kserve_client,
                given.metadata.name,
                given.metadata.namespace,
                given.api_version.split("/")[1],
            )
    
            if "status" not in out:
                raise AssertionError("No status found in LLM inference service")
    
            status = out["status"]
            if "conditions" not in status:
                raise AssertionError("No conditions found in status")
    
            expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"}
            got_true_conditions = set()
    
            conditions = status["conditions"]
    
            for condition in conditions:
                if condition.get("status") == "True":
                    got_true_conditions.add(condition.get("type"))
    
            missing_conditions = expected_true_conditions - got_true_conditions
            if missing_conditions:
                raise AssertionError(
                    f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}"
                )
            return True
    
&gt;       return wait_for(assert_llm_isvc_ready, timeout=timeout_seconds, interval=1.0)

llmisvc/test_llm_inference_service.py:1204: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

assertion_fn = &lt;function wait_for_llm_isvc_ready.&lt;locals&gt;.assert_llm_isvc_ready at 0x7f3675d3a8e0&gt;
timeout = 900, interval = 1.0

    def wait_for(
        assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1
    ) -&gt; Any:
        """Wait for the assertion to succeed within timeout."""
        deadline = time.time() + timeout
        last_msg = None
        while True:
            try:
&gt;               return assertion_fn()

llmisvc/test_llm_inference_service.py:1215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

    def assert_llm_isvc_ready():
        out = get_llmisvc(
            kserve_client,
            given.metadata.name,
            given.metadata.namespace,
            given.api_version.split("/")[1],
        )
    
        if "status" not in out:
            raise AssertionError("No status found in LLM inference service")
    
        status = out["status"]
        if "conditions" not in status:
            raise AssertionError("No conditions found in status")
    
        expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"}
        got_true_conditions = set()
    
        conditions = status["conditions"]
    
        for condition in conditions:
            if condition.get("status") == "True":
                got_true_conditions.add(condition.get("type"))
    
        missing_conditions = expected_true_conditions - got_true_conditions
        if missing_conditions:
&gt;           raise AssertionError(
                f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}"
            )
E           AssertionError: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'RouterReady', 'WorkloadsReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-01T20:01:43Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-01T20:01:43Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-01T20:01:43Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-01T20:01:43Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-01T20:01:19Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-01T20:01:43Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-01T20:02:03Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-01T20:02:03Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-01T20:01:43Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}]

llmisvc/test_llm_inference_service.py:1199: AssertionError</failure></testcase><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-refs-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m]" time="906.034"><failure message="AssertionError: Missing true conditions: {'RouterReady', 'Ready'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-01T20:07:17Z', 'severity': 'Info', 'status': 'True', 'type': 'GatewaysReady'}, {'lastTransitionTime': '2026-07-01T20:07:17Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/router-route-3: &quot;False&quot; (reason &quot;InvalidKind&quot;, message &quot;referencing unsupported backendRef: group \\&quot;inference.networking.x-k8s.io\\&quot; kind \\&quot;InferencePool\\&quot;&quot;)]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-01T20:07:17Z', 'message': 'Inference Pool kserve-ci-e2e-test/router-with-refs-pd-test-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-01T20:11:05Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-01T20:11:05Z', 'severity': 'Info', 'status': 'True', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-01T20:07:17Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-01T20:07:17Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/router-route-3: &quot;False&quot; (reason &quot;InvalidKind&quot;, message &quot;referencing unsupported backendRef: group \\&quot;inference.networking.x-k8s.io\\&quot; kind \\&quot;InferencePool\\&quot;&quot;)]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-01T20:07:17Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/router-route-3: &quot;False&quot; (reason &quot;InvalidKind&quot;, message &quot;referencing unsupported backendRef: group \\&quot;inference.networking.x-k8s.io\\&quot; kind \\&quot;InferencePool\\&quot;&quot;)]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-01T20:08:08Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-01T20:11:05Z', 'status': 'True', 'type': 'WorkloadsReady'}]">test_case = TestCase(base_refs=['router-with-refs-pd', 'scheduler-managed', 'workload-pd-cpu', 'model-fb-opt-125m'], prompt='You a...              {'name': 'model-fb-opt-125m-router-with-r-c22ea8a0'}]},
 'status': None}, model_name='facebook/opt-125m')

    @pytest.mark.llminferenceservice
    @pytest.mark.asyncio(loop_scope="session")
    @pytest.mark.parametrize(
        "test_case",
        [
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-gateway-ref",
                        "router-with-managed-route",
                        "model-fb-opt-125m",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="custom-route-timeout-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="router-with-refs-test",
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                            routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="custom-route-timeout-pd-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="router-with-refs-pd-test",
                    response_assertion=assert_200_with_choices,
                    expected_gateway=ROUTER_GATEWAYS[1],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[1]],
                            routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-dp-ep-gpu",
                        "workload-dp-ep-prefill-gpu",
                        "model-deepseek-v2-lite",
                    ],
                    prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically "
                    "where the compute plane (P) and the data plane (D) are independently deployed and managed for a "
                    "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the "
                    "fundamental challenges of network latency and data consistency, elaborate on the advanced "
                    "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: "
                    "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to "
                    "evolve to support optimal performance and minimize inter-plane communication overhead, especially for "
                    "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically "
                    "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: "
                    "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) "
                    "and their applicability in balancing performance and data integrity across a globally distributed data plane. "
                    "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, "
                    "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. "
                    "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently "
                    "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, "
                    "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). "
                    "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on "
                    "workload patterns and data locality, potentially involving live migration strategies. "
                    "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter "
                    "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), "
                    "fine-grained access control to data at rest and in motion, and identity management across disaggregated "
                    "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) "
                    "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: "
                    "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and "
                    "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) "
                    "would be essential? How would incident response and troubleshooting differ in this disaggregated environment "
                    "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across "
                    "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries "
                    "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) "
                    "where the benefits of P/D disaggregation would strongly outweigh its complexities. "
                    "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions "
                    "directly interacting with object storage, in-memory disaggregation) that could further drive or "
                    "transform P/D disaggregation in cloud computing.",
                    max_tokens=2000,
                ),
                marks=[
                    pytest.mark.cluster_gpu,
                    pytest.mark.cluster_nvidia,
                    pytest.mark.cluster_nvidia_roce,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-no-scheduler",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="What is KServe?",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.no_scheduler,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, "
                    "but without the resources requirements for DP+EP (GPUs and ROCe/IB).",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node],
            ),
            # Scheduler config tests
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-inline-config",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-inline-config-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Chat completions endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                        "model-qwen2.5-0.5b",
                    ],
                    model_name="Qwen/Qwen2.5-0.5B-Instruct",
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-configmap-ref",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-configmap-ref-test",
                    before_test=[create_scheduler_configmap],
                    after_test=[delete_scheduler_configmap],
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-replicas",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-ha-replicas-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-custom-template",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-custom-template-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Scheduler v0.6 → v0.7 migration tests.
            # Deploy v0.6-style configs and verify the controller migrates them
            # so the v0.7 scheduler boots successfully.
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-pd-config-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-pd-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-nonzero-threshold-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-threshold-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Precise prefix KV cache routing test
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-precise-prefix-cache-inline-config",
                        "workload-llmd-simulator-kvcache",
                    ],
                    prompt="KServe is a",
                    service_name="precise-prefix-cache-test",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Models endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/models",
                    response_assertion=create_response_assertion(with_field="data"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/completions",
                            prompt="KServe is a",
                            payload_formatter=completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/chat/completions",
                            prompt="What is KServe?",
                            payload_formatter=chat_completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — LoRA adapter
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches(
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1"
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA)
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/models",
                    response_assertion=assert_models_contains(
                        "facebook/opt-125m",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                        "lora-adapter-1",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # PVC storage tests -- validate direct PVC volume mount with real vLLM serving
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-pd-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_multi_node,
                    pytest.mark.pvc_storage,
                ],
            ),
        ],
        indirect=["test_case"],
        ids=generate_test_id,
    )
    @log_execution
    def test_llm_inference_service(test_case: TestCase):  # noqa: F811
        inject_k8s_proxy()
    
        kserve_client = KServeClient(
            config_file=os.environ.get("KUBECONFIG", "~/.kube/config"),
            client_configuration=client.Configuration(),
        )
    
        service_name = test_case.llm_service.metadata.name
        if not test_case.llm_service.metadata.annotations:
            test_case.llm_service.metadata.annotations = {}
    
        test_case.llm_service.metadata.annotations[
            "security.opendatahub.io/enable-auth"
        ] = "false"
        prefix = test_case.log_prefix
    
        test_failed = False
        try:
            print(f"{prefix} Creating LLMInferenceService {service_name}")
            create_llmisvc(kserve_client, test_case.llm_service)
            print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready")
&gt;           wait_for_llm_isvc_ready(
                kserve_client, test_case.llm_service, test_case.wait_timeout
            )

llmisvc/test_llm_inference_service.py:812: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (&lt;kserve.api.kserve_client.KServeClient object at 0x7efccdac0f10&gt;, {'api_version': 'serving.kserve.io/v1alpha1',
 'kin...h-ref-d1f07093'},
                       {'name': 'model-fb-opt-125m-router-with-r-c22ea8a0'}]},
 'status': None}, 900)
kwargs = {}, func_name = 'wait_for_llm_isvc_ready'
timestamp_start = '2026-07-01T20:06:06.141984', start_time = 1782936366.1422536
duration = 900.2385427951813, timestamp_end = '2026-07-01T20:21:06.380805'

    @functools.wraps(func)
    def wrapper(*args, **kwargs):
        func_name = func.__name__
    
        timestamp_start = datetime.now().isoformat()
        logger.info(
            f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}"
        )
        start_time = time.time()
    
        try:
&gt;           result = func(*args, **kwargs)

llmisvc/logging.py:40: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

kserve_client = &lt;kserve.api.kserve_client.KServeClient object at 0x7efccdac0f10&gt;
given = {'api_version': 'serving.kserve.io/v1alpha1',
 'kind': 'LLMInferenceService',
 'metadata': {'annotations': {'security....er-with-ref-d1f07093'},
                       {'name': 'model-fb-opt-125m-router-with-r-c22ea8a0'}]},
 'status': None}
timeout_seconds = 900

    @log_execution
    def wait_for_llm_isvc_ready(
        kserve_client: KServeClient,
        given: V1alpha1LLMInferenceService,
        timeout_seconds: int = 900,
    ) -&gt; str:
        def assert_llm_isvc_ready():
            out = get_llmisvc(
                kserve_client,
                given.metadata.name,
                given.metadata.namespace,
                given.api_version.split("/")[1],
            )
    
            if "status" not in out:
                raise AssertionError("No status found in LLM inference service")
    
            status = out["status"]
            if "conditions" not in status:
                raise AssertionError("No conditions found in status")
    
            expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"}
            got_true_conditions = set()
    
            conditions = status["conditions"]
    
            for condition in conditions:
                if condition.get("status") == "True":
                    got_true_conditions.add(condition.get("type"))
    
            missing_conditions = expected_true_conditions - got_true_conditions
            if missing_conditions:
                raise AssertionError(
                    f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}"
                )
            return True
    
&gt;       return wait_for(assert_llm_isvc_ready, timeout=timeout_seconds, interval=1.0)

llmisvc/test_llm_inference_service.py:1204: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

assertion_fn = &lt;function wait_for_llm_isvc_ready.&lt;locals&gt;.assert_llm_isvc_ready at 0x7efcce8cb9c0&gt;
timeout = 900, interval = 1.0

    def wait_for(
        assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1
    ) -&gt; Any:
        """Wait for the assertion to succeed within timeout."""
        deadline = time.time() + timeout
        last_msg = None
        while True:
            try:
&gt;               return assertion_fn()

llmisvc/test_llm_inference_service.py:1215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

    def assert_llm_isvc_ready():
        out = get_llmisvc(
            kserve_client,
            given.metadata.name,
            given.metadata.namespace,
            given.api_version.split("/")[1],
        )
    
        if "status" not in out:
            raise AssertionError("No status found in LLM inference service")
    
        status = out["status"]
        if "conditions" not in status:
            raise AssertionError("No conditions found in status")
    
        expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"}
        got_true_conditions = set()
    
        conditions = status["conditions"]
    
        for condition in conditions:
            if condition.get("status") == "True":
                got_true_conditions.add(condition.get("type"))
    
        missing_conditions = expected_true_conditions - got_true_conditions
        if missing_conditions:
&gt;           raise AssertionError(
                f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}"
            )
E           AssertionError: Missing true conditions: {'RouterReady', 'Ready'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-01T20:07:17Z', 'severity': 'Info', 'status': 'True', 'type': 'GatewaysReady'}, {'lastTransitionTime': '2026-07-01T20:07:17Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/router-route-3: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-01T20:07:17Z', 'message': 'Inference Pool kserve-ci-e2e-test/router-with-refs-pd-test-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-01T20:11:05Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-01T20:11:05Z', 'severity': 'Info', 'status': 'True', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-01T20:07:17Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-01T20:07:17Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/router-route-3: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-01T20:07:17Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/router-route-3: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-01T20:08:08Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-01T20:11:05Z', 'status': 'True', 'type': 'WorkloadsReady'}]

llmisvc/test_llm_inference_service.py:1199: AssertionError</failure></testcase><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_multi_node-router-managed-workload-simulated-dp-ep-cpu-model-pvc]" time="715.587"><failure message="RuntimeError: ❌ Exception when calling CustomObjectsApi-&gt;get_namespaced_custom_object for LLMInferenceService: (500)&#10;Reason: Internal Server Error&#10;HTTP response headers: HTTPHeaderDict({'Audit-Id': 'a0ecd197-7216-45b3-80ad-31a1f8781ca0', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'X-Kubernetes-Pf-Flowschema-Uid': '62c25c04-1b74-440c-829d-ad16fc1cf200', 'X-Kubernetes-Pf-Prioritylevel-Uid': 'cb35c139-d9c3-4bc0-991f-97459c16ce66', 'Date': 'Wed, 01 Jul 2026 20:28:05 GMT', 'Content-Length': '264'})&#10;HTTP response body: {&quot;kind&quot;:&quot;Status&quot;,&quot;apiVersion&quot;:&quot;v1&quot;,&quot;metadata&quot;:{},&quot;status&quot;:&quot;Failure&quot;,&quot;message&quot;:&quot;conversion webhook for serving.kserve.io/v1alpha2, Kind=LLMInferenceService failed: Post \&quot;https://llmisvc-webhook-server-service.kserve.svc:443/convert?timeout=30s\&quot;: EOF&quot;,&quot;code&quot;:500}">kserve_client = &lt;kserve.api.kserve_client.KServeClient object at 0x7f3676f82ad0&gt;
name = 'llmisvc-model-pvc-router-manage-2577e794'
namespace = 'kserve-ci-e2e-test', version = 'v1alpha1'

    def get_llmisvc(
        kserve_client: KServeClient,
        name,
        namespace,
        version=constants.KSERVE_V1ALPHA1_VERSION,
    ):
        try:
&gt;           return kserve_client.api_instance.get_namespaced_custom_object(
                constants.KSERVE_GROUP,
                version,
                namespace,
                KSERVE_PLURAL_LLMINFERENCESERVICE,
                name,
            )

llmisvc/test_llm_inference_service.py:1043: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api.custom_objects_api.CustomObjectsApi object at 0x7f3675da1c50&gt;
group = 'serving.kserve.io', version = 'v1alpha1'
namespace = 'kserve-ci-e2e-test', plural = 'llminferenceservices'
name = 'llmisvc-model-pvc-router-manage-2577e794'
kwargs = {'_return_http_data_only': True}

    def get_namespaced_custom_object(self, group, version, namespace, plural, name, **kwargs):  # noqa: E501
        """get_namespaced_custom_object  # noqa: E501
    
        Returns a namespace scoped custom object  # noqa: E501
        This method makes a synchronous HTTP request by default. To make an
        asynchronous HTTP request, please pass async_req=True
        &gt;&gt;&gt; thread = api.get_namespaced_custom_object(group, version, namespace, plural, name, async_req=True)
        &gt;&gt;&gt; result = thread.get()
    
        :param async_req bool: execute request asynchronously
        :param str group: the custom resource's group (required)
        :param str version: the custom resource's version (required)
        :param str namespace: The custom resource's namespace (required)
        :param str plural: the custom resource's plural name. For TPRs this would be lowercase plural kind. (required)
        :param str name: the custom object's name (required)
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        :return: object
                 If the method is called asynchronously,
                 returns the request thread.
        """
        kwargs['_return_http_data_only'] = True
&gt;       return self.get_namespaced_custom_object_with_http_info(group, version, namespace, plural, name, **kwargs)  # noqa: E501

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/custom_objects_api.py:1632: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api.custom_objects_api.CustomObjectsApi object at 0x7f3675da1c50&gt;
group = 'serving.kserve.io', version = 'v1alpha1'
namespace = 'kserve-ci-e2e-test', plural = 'llminferenceservices'
name = 'llmisvc-model-pvc-router-manage-2577e794'
kwargs = {'_return_http_data_only': True}
local_var_params = {'_return_http_data_only': True, 'all_params': ['group', 'version', 'namespace', 'plural', 'name', 'async_req', ...], 'auth_settings': ['BearerToken'], 'body_params': None, ...}
all_params = ['group', 'version', 'namespace', 'plural', 'name', 'async_req', ...]
key = '_return_http_data_only', val = True, collection_formats = {}
path_params = {'group': 'serving.kserve.io', 'name': 'llmisvc-model-pvc-router-manage-2577e794', 'namespace': 'kserve-ci-e2e-test', 'plural': 'llminferenceservices', ...}
query_params = []

    def get_namespaced_custom_object_with_http_info(self, group, version, namespace, plural, name, **kwargs):  # noqa: E501
        """get_namespaced_custom_object  # noqa: E501
    
        Returns a namespace scoped custom object  # noqa: E501
        This method makes a synchronous HTTP request by default. To make an
        asynchronous HTTP request, please pass async_req=True
        &gt;&gt;&gt; thread = api.get_namespaced_custom_object_with_http_info(group, version, namespace, plural, name, async_req=True)
        &gt;&gt;&gt; result = thread.get()
    
        :param async_req bool: execute request asynchronously
        :param str group: the custom resource's group (required)
        :param str version: the custom resource's version (required)
        :param str namespace: The custom resource's namespace (required)
        :param str plural: the custom resource's plural name. For TPRs this would be lowercase plural kind. (required)
        :param str name: the custom object's name (required)
        :param _return_http_data_only: response data without head status code
                                       and headers
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        :return: tuple(object, status_code(int), headers(HTTPHeaderDict))
                 If the method is called asynchronously,
                 returns the request thread.
        """
    
        local_var_params = locals()
    
        all_params = [
            'group',
            'version',
            'namespace',
            'plural',
            'name'
        ]
        all_params.extend(
            [
                'async_req',
                '_return_http_data_only',
                '_preload_content',
                '_request_timeout'
            ]
        )
    
        for key, val in six.iteritems(local_var_params['kwargs']):
            if key not in all_params:
                raise ApiTypeError(
                    "Got an unexpected keyword argument '%s'"
                    " to method get_namespaced_custom_object" % key
                )
            local_var_params[key] = val
        del local_var_params['kwargs']
        # verify the required parameter 'group' is set
        if self.api_client.client_side_validation and ('group' not in local_var_params or  # noqa: E501
                                                        local_var_params['group'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `group` when calling `get_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'version' is set
        if self.api_client.client_side_validation and ('version' not in local_var_params or  # noqa: E501
                                                        local_var_params['version'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `version` when calling `get_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'namespace' is set
        if self.api_client.client_side_validation and ('namespace' not in local_var_params or  # noqa: E501
                                                        local_var_params['namespace'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `namespace` when calling `get_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'plural' is set
        if self.api_client.client_side_validation and ('plural' not in local_var_params or  # noqa: E501
                                                        local_var_params['plural'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `plural` when calling `get_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'name' is set
        if self.api_client.client_side_validation and ('name' not in local_var_params or  # noqa: E501
                                                        local_var_params['name'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `name` when calling `get_namespaced_custom_object`")  # noqa: E501
    
        collection_formats = {}
    
        path_params = {}
        if 'group' in local_var_params:
            path_params['group'] = local_var_params['group']  # noqa: E501
        if 'version' in local_var_params:
            path_params['version'] = local_var_params['version']  # noqa: E501
        if 'namespace' in local_var_params:
            path_params['namespace'] = local_var_params['namespace']  # noqa: E501
        if 'plural' in local_var_params:
            path_params['plural'] = local_var_params['plural']  # noqa: E501
        if 'name' in local_var_params:
            path_params['name'] = local_var_params['name']  # noqa: E501
    
        query_params = []
    
        header_params = {}
    
        form_params = []
        local_var_files = {}
    
        body_params = None
        # HTTP header `Accept`
        header_params['Accept'] = self.api_client.select_header_accept(
            ['application/json'])  # noqa: E501
    
        # Authentication setting
        auth_settings = ['BearerToken']  # noqa: E501
    
&gt;       return self.api_client.call_api(
            '/apis/{group}/{version}/namespaces/{namespace}/{plural}/{name}', 'GET',
            path_params,
            query_params,
            header_params,
            body=body_params,
            post_params=form_params,
            files=local_var_files,
            response_type='object',  # noqa: E501
            auth_settings=auth_settings,
            async_req=local_var_params.get('async_req'),
            _return_http_data_only=local_var_params.get('_return_http_data_only'),  # noqa: E501
            _preload_content=local_var_params.get('_preload_content', True),
            _request_timeout=local_var_params.get('_request_timeout'),
            collection_formats=collection_formats)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/custom_objects_api.py:1739: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api_client.ApiClient object at 0x7f3675da2a90&gt;
resource_path = '/apis/{group}/{version}/namespaces/{namespace}/{plural}/{name}'
method = 'GET'
path_params = {'group': 'serving.kserve.io', 'name': 'llmisvc-model-pvc-router-manage-2577e794', 'namespace': 'kserve-ci-e2e-test', 'plural': 'llminferenceservices', ...}
query_params = []
header_params = {'Accept': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
body = None, post_params = [], files = {}, response_type = 'object'
auth_settings = ['BearerToken'], async_req = None, _return_http_data_only = True
collection_formats = {}, _preload_content = True, _request_timeout = None
_host = None

    def call_api(self, resource_path, method,
                 path_params=None, query_params=None, header_params=None,
                 body=None, post_params=None, files=None,
                 response_type=None, auth_settings=None, async_req=None,
                 _return_http_data_only=None, collection_formats=None,
                 _preload_content=True, _request_timeout=None, _host=None):
        """Makes the HTTP request (synchronous) and returns deserialized data.
    
        To make an async_req request, set the async_req parameter.
    
        :param resource_path: Path to method endpoint.
        :param method: Method to call.
        :param path_params: Path parameters in the url.
        :param query_params: Query parameters in the url.
        :param header_params: Header parameters to be
            placed in the request header.
        :param body: Request body.
        :param post_params dict: Request post form parameters,
            for `application/x-www-form-urlencoded`, `multipart/form-data`.
        :param auth_settings list: Auth Settings names for the request.
        :param response: Response data type.
        :param files dict: key -&gt; filename, value -&gt; filepath,
            for `multipart/form-data`.
        :param async_req bool: execute request asynchronously
        :param _return_http_data_only: response data without head status code
                                       and headers
        :param collection_formats: dict of collection formats for path, query,
            header, and post parameters.
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        :return:
            If async_req parameter is True,
            the request will be called asynchronously.
            The method will return the request thread.
            If parameter async_req is False or missing,
            then the method will return the response directly.
        """
        if not async_req:
&gt;           return self.__call_api(resource_path, method,
                                   path_params, query_params, header_params,
                                   body, post_params, files,
                                   response_type, auth_settings,
                                   _return_http_data_only, collection_formats,
                                   _preload_content, _request_timeout, _host)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:348: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api_client.ApiClient object at 0x7f3675da2a90&gt;
resource_path = '/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceservices/llmisvc-model-pvc-router-manage-2577e794'
method = 'GET'
path_params = [('group', 'serving.kserve.io'), ('version', 'v1alpha1'), ('namespace', 'kserve-ci-e2e-test'), ('plural', 'llminferenceservices'), ('name', 'llmisvc-model-pvc-router-manage-2577e794')]
query_params = []
header_params = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
body = None, post_params = [], files = {}, response_type = 'object'
auth_settings = ['BearerToken'], _return_http_data_only = True
collection_formats = {}, _preload_content = True, _request_timeout = None
_host = None

    def __call_api(
            self, resource_path, method, path_params=None,
            query_params=None, header_params=None, body=None, post_params=None,
            files=None, response_type=None, auth_settings=None,
            _return_http_data_only=None, collection_formats=None,
            _preload_content=True, _request_timeout=None, _host=None):
    
        config = self.configuration
    
        # header parameters
        header_params = header_params or {}
        header_params.update(self.default_headers)
        if self.cookie:
            header_params['Cookie'] = self.cookie
        if header_params:
            header_params = self.sanitize_for_serialization(header_params)
            header_params = dict(self.parameters_to_tuples(header_params,
                                                           collection_formats))
    
        # path parameters
        if path_params:
            path_params = self.sanitize_for_serialization(path_params)
            path_params = self.parameters_to_tuples(path_params,
                                                    collection_formats)
            for k, v in path_params:
                # specified safe chars, encode everything
                resource_path = resource_path.replace(
                    '{%s}' % k,
                    quote(str(v), safe=config.safe_chars_for_path_param)
                )
    
        # query parameters
        if query_params:
            query_params = self.sanitize_for_serialization(query_params)
            query_params = self.parameters_to_tuples(query_params,
                                                     collection_formats)
    
        # post parameters
        if post_params or files:
            post_params = post_params if post_params else []
            post_params = self.sanitize_for_serialization(post_params)
            post_params = self.parameters_to_tuples(post_params,
                                                    collection_formats)
            post_params.extend(self.files_parameters(files))
    
        # auth setting
        self.update_params_for_auth(header_params, query_params, auth_settings)
    
        # body
        if body:
            body = self.sanitize_for_serialization(body)
    
        # request url
        if _host is None:
            url = self.configuration.host + resource_path
        else:
            # use server/host defined in path or operation instead
            url = _host + resource_path
    
        # perform request and return response
&gt;       response_data = self.request(
            method, url, query_params=query_params, headers=header_params,
            post_params=post_params, body=body,
            _preload_content=_preload_content,
            _request_timeout=_request_timeout)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:180: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api_client.ApiClient object at 0x7f3675da2a90&gt;
method = 'GET'
url = 'https://a4b1bbcc0651547b89874fa30976e364-970c7c6812ac1917.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceservices/llmisvc-model-pvc-router-manage-2577e794'
query_params = []
headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
post_params = [], body = None, _preload_content = True, _request_timeout = None

    def request(self, method, url, query_params=None, headers=None,
                post_params=None, body=None, _preload_content=True,
                _request_timeout=None):
        """Makes the HTTP request using RESTClient."""
        if method == "GET":
&gt;           return self.rest_client.GET(url,
                                        query_params=query_params,
                                        _preload_content=_preload_content,
                                        _request_timeout=_request_timeout,

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:373: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.rest.RESTClientObject object at 0x7f3675da1250&gt;
url = 'https://a4b1bbcc0651547b89874fa30976e364-970c7c6812ac1917.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceservices/llmisvc-model-pvc-router-manage-2577e794'
headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
query_params = [], _preload_content = True, _request_timeout = None

    def GET(self, url, headers=None, query_params=None, _preload_content=True,
            _request_timeout=None):
&gt;       return self.request("GET", url,
                            headers=headers,
                            _preload_content=_preload_content,
                            _request_timeout=_request_timeout,
                            query_params=query_params)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:244: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.rest.RESTClientObject object at 0x7f3675da1250&gt;
method = 'GET'
url = 'https://a4b1bbcc0651547b89874fa30976e364-970c7c6812ac1917.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceservices/llmisvc-model-pvc-router-manage-2577e794'
query_params = []
headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
body = None, post_params = {}, _preload_content = True, _request_timeout = None

    def request(self, method, url, query_params=None, headers=None,
                body=None, post_params=None, _preload_content=True,
                _request_timeout=None):
        """Perform requests.
    
        :param method: http request method
        :param url: http request url
        :param query_params: query parameters in the url
        :param headers: http request headers
        :param body: request json body, for `application/json`
        :param post_params: request post parameters,
                            `application/x-www-form-urlencoded`
                            and `multipart/form-data`
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        """
        method = method.upper()
        assert method in ['GET', 'HEAD', 'DELETE', 'POST', 'PUT',
                          'PATCH', 'OPTIONS']
    
        if post_params and body:
            raise ApiValueError(
                "body parameter cannot be used with post_params parameter."
            )
    
        post_params = post_params or {}
        headers = headers or {}
    
        timeout = None
        if _request_timeout:
            if isinstance(_request_timeout, (int, ) if six.PY3 else (int, long)):  # noqa: E501,F821
                timeout = urllib3.Timeout(total=_request_timeout)
            elif (isinstance(_request_timeout, tuple) and
                  len(_request_timeout) == 2):
                timeout = urllib3.Timeout(
                    connect=_request_timeout[0], read=_request_timeout[1])
    
        if 'Content-Type' not in headers:
            headers['Content-Type'] = 'application/json'
    
        try:
            # For `POST`, `PUT`, `PATCH`, `OPTIONS`, `DELETE`
            if method in ['POST', 'PUT', 'PATCH', 'OPTIONS', 'DELETE']:
                if query_params:
                    url += '?' + urlencode(query_params)
                if (re.search('json', headers['Content-Type'], re.IGNORECASE) or
                        headers['Content-Type'] == 'application/apply-patch+yaml'):
                    if headers['Content-Type'] == 'application/json-patch+json':
                        if not isinstance(body, list):
                            headers['Content-Type'] = \
                                'application/strategic-merge-patch+json'
                    request_body = None
                    if body is not None:
                        request_body = json.dumps(body)
                    r = self.pool_manager.request(
                        method, url,
                        body=request_body,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                elif headers['Content-Type'] == 'application/x-www-form-urlencoded':  # noqa: E501
                    r = self.pool_manager.request(
                        method, url,
                        fields=post_params,
                        encode_multipart=False,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                elif headers['Content-Type'] == 'multipart/form-data':
                    # must del headers['Content-Type'], or the correct
                    # Content-Type which generated by urllib3 will be
                    # overwritten.
                    del headers['Content-Type']
                    r = self.pool_manager.request(
                        method, url,
                        fields=post_params,
                        encode_multipart=True,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                # Pass a `string` parameter directly in the body to support
                # other content types than Json when `body` argument is
                # provided in serialized form
                elif isinstance(body, str) or isinstance(body, bytes):
                    request_body = body
                    r = self.pool_manager.request(
                        method, url,
                        body=request_body,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                else:
                    # Cannot generate the request from given parameters
                    msg = """Cannot prepare a request message for provided
                             arguments. Please check that your arguments match
                             declared content type."""
                    raise ApiException(status=0, reason=msg)
            # For `GET`, `HEAD`
            else:
                r = self.pool_manager.request(method, url,
                                              fields=query_params,
                                              preload_content=_preload_content,
                                              timeout=timeout,
                                              headers=headers)
        except urllib3.exceptions.SSLError as e:
            msg = "{0}\n{1}".format(type(e).__name__, str(e))
            raise ApiException(status=0, reason=msg)
    
        if _preload_content:
            r = RESTResponse(r)
    
            # In the python 3, the response.data is bytes.
            # we need to decode it to string.
            if six.PY3:
                r.data = r.data.decode('utf8')
    
            # log response body
            logger.debug("response body: %s", r.data)
    
        if not 200 &lt;= r.status &lt;= 299:
&gt;           raise ApiException(http_resp=r)
E           kubernetes.client.exceptions.ApiException: (500)
E           Reason: Internal Server Error
E           HTTP response headers: HTTPHeaderDict({'Audit-Id': 'a0ecd197-7216-45b3-80ad-31a1f8781ca0', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'X-Kubernetes-Pf-Flowschema-Uid': '62c25c04-1b74-440c-829d-ad16fc1cf200', 'X-Kubernetes-Pf-Prioritylevel-Uid': 'cb35c139-d9c3-4bc0-991f-97459c16ce66', 'Date': 'Wed, 01 Jul 2026 20:28:05 GMT', 'Content-Length': '264'})
E           HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"conversion webhook for serving.kserve.io/v1alpha2, Kind=LLMInferenceService failed: Post \"https://llmisvc-webhook-server-service.kserve.svc:443/convert?timeout=30s\": EOF","code":500}

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:238: ApiException

The above exception was the direct cause of the following exception:

test_case = TestCase(base_refs=['router-managed', 'workload-simulated-dp-ep-cpu', 'model-pvc'], prompt='KServe is a', service_name...              {'name': 'model-pvc-llmisvc-model-pvc-rou-cfc8d654'}]},
 'status': None}, model_name='facebook/opt-125m')

    @pytest.mark.llminferenceservice
    @pytest.mark.asyncio(loop_scope="session")
    @pytest.mark.parametrize(
        "test_case",
        [
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-gateway-ref",
                        "router-with-managed-route",
                        "model-fb-opt-125m",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="custom-route-timeout-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="router-with-refs-test",
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                            routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="custom-route-timeout-pd-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="router-with-refs-pd-test",
                    response_assertion=assert_200_with_choices,
                    expected_gateway=ROUTER_GATEWAYS[1],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[1]],
                            routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-dp-ep-gpu",
                        "workload-dp-ep-prefill-gpu",
                        "model-deepseek-v2-lite",
                    ],
                    prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically "
                    "where the compute plane (P) and the data plane (D) are independently deployed and managed for a "
                    "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the "
                    "fundamental challenges of network latency and data consistency, elaborate on the advanced "
                    "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: "
                    "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to "
                    "evolve to support optimal performance and minimize inter-plane communication overhead, especially for "
                    "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically "
                    "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: "
                    "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) "
                    "and their applicability in balancing performance and data integrity across a globally distributed data plane. "
                    "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, "
                    "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. "
                    "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently "
                    "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, "
                    "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). "
                    "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on "
                    "workload patterns and data locality, potentially involving live migration strategies. "
                    "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter "
                    "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), "
                    "fine-grained access control to data at rest and in motion, and identity management across disaggregated "
                    "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) "
                    "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: "
                    "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and "
                    "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) "
                    "would be essential? How would incident response and troubleshooting differ in this disaggregated environment "
                    "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across "
                    "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries "
                    "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) "
                    "where the benefits of P/D disaggregation would strongly outweigh its complexities. "
                    "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions "
                    "directly interacting with object storage, in-memory disaggregation) that could further drive or "
                    "transform P/D disaggregation in cloud computing.",
                    max_tokens=2000,
                ),
                marks=[
                    pytest.mark.cluster_gpu,
                    pytest.mark.cluster_nvidia,
                    pytest.mark.cluster_nvidia_roce,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-no-scheduler",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="What is KServe?",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.no_scheduler,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, "
                    "but without the resources requirements for DP+EP (GPUs and ROCe/IB).",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node],
            ),
            # Scheduler config tests
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-inline-config",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-inline-config-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Chat completions endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                        "model-qwen2.5-0.5b",
                    ],
                    model_name="Qwen/Qwen2.5-0.5B-Instruct",
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-configmap-ref",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-configmap-ref-test",
                    before_test=[create_scheduler_configmap],
                    after_test=[delete_scheduler_configmap],
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-replicas",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-ha-replicas-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-custom-template",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-custom-template-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Scheduler v0.6 → v0.7 migration tests.
            # Deploy v0.6-style configs and verify the controller migrates them
            # so the v0.7 scheduler boots successfully.
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-pd-config-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-pd-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-nonzero-threshold-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-threshold-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Precise prefix KV cache routing test
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-precise-prefix-cache-inline-config",
                        "workload-llmd-simulator-kvcache",
                    ],
                    prompt="KServe is a",
                    service_name="precise-prefix-cache-test",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Models endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/models",
                    response_assertion=create_response_assertion(with_field="data"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/completions",
                            prompt="KServe is a",
                            payload_formatter=completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/chat/completions",
                            prompt="What is KServe?",
                            payload_formatter=chat_completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — LoRA adapter
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches(
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1"
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA)
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/models",
                    response_assertion=assert_models_contains(
                        "facebook/opt-125m",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                        "lora-adapter-1",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # PVC storage tests -- validate direct PVC volume mount with real vLLM serving
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-pd-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_multi_node,
                    pytest.mark.pvc_storage,
                ],
            ),
        ],
        indirect=["test_case"],
        ids=generate_test_id,
    )
    @log_execution
    def test_llm_inference_service(test_case: TestCase):  # noqa: F811
        inject_k8s_proxy()
    
        kserve_client = KServeClient(
            config_file=os.environ.get("KUBECONFIG", "~/.kube/config"),
            client_configuration=client.Configuration(),
        )
    
        service_name = test_case.llm_service.metadata.name
        if not test_case.llm_service.metadata.annotations:
            test_case.llm_service.metadata.annotations = {}
    
        test_case.llm_service.metadata.annotations[
            "security.opendatahub.io/enable-auth"
        ] = "false"
        prefix = test_case.log_prefix
    
        test_failed = False
        try:
            print(f"{prefix} Creating LLMInferenceService {service_name}")
            create_llmisvc(kserve_client, test_case.llm_service)
            print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready")
&gt;           wait_for_llm_isvc_ready(
                kserve_client, test_case.llm_service, test_case.wait_timeout
            )

llmisvc/test_llm_inference_service.py:812: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (&lt;kserve.api.kserve_client.KServeClient object at 0x7f3676f82ad0&gt;, {'api_version': 'serving.kserve.io/v1alpha1',
 'kin...pu-ll-699c687c'},
                       {'name': 'model-pvc-llmisvc-model-pvc-rou-cfc8d654'}]},
 'status': None}, 900)
kwargs = {}, func_name = 'wait_for_llm_isvc_ready'
timestamp_start = '2026-07-01T20:16:12.244818', start_time = 1782936972.2451673
duration = 712.9098405838013, timestamp_end = '2026-07-01T20:28:05.155025'

    @functools.wraps(func)
    def wrapper(*args, **kwargs):
        func_name = func.__name__
    
        timestamp_start = datetime.now().isoformat()
        logger.info(
            f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}"
        )
        start_time = time.time()
    
        try:
&gt;           result = func(*args, **kwargs)

llmisvc/logging.py:40: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

kserve_client = &lt;kserve.api.kserve_client.KServeClient object at 0x7f3676f82ad0&gt;
given = {'api_version': 'serving.kserve.io/v1alpha1',
 'kind': 'LLMInferenceService',
 'metadata': {'annotations': {'security....p-ep-cpu-ll-699c687c'},
                       {'name': 'model-pvc-llmisvc-model-pvc-rou-cfc8d654'}]},
 'status': None}
timeout_seconds = 900

    @log_execution
    def wait_for_llm_isvc_ready(
        kserve_client: KServeClient,
        given: V1alpha1LLMInferenceService,
        timeout_seconds: int = 900,
    ) -&gt; str:
        def assert_llm_isvc_ready():
            out = get_llmisvc(
                kserve_client,
                given.metadata.name,
                given.metadata.namespace,
                given.api_version.split("/")[1],
            )
    
            if "status" not in out:
                raise AssertionError("No status found in LLM inference service")
    
            status = out["status"]
            if "conditions" not in status:
                raise AssertionError("No conditions found in status")
    
            expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"}
            got_true_conditions = set()
    
            conditions = status["conditions"]
    
            for condition in conditions:
                if condition.get("status") == "True":
                    got_true_conditions.add(condition.get("type"))
    
            missing_conditions = expected_true_conditions - got_true_conditions
            if missing_conditions:
                raise AssertionError(
                    f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}"
                )
            return True
    
&gt;       return wait_for(assert_llm_isvc_ready, timeout=timeout_seconds, interval=1.0)

llmisvc/test_llm_inference_service.py:1204: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

assertion_fn = &lt;function wait_for_llm_isvc_ready.&lt;locals&gt;.assert_llm_isvc_ready at 0x7f3675d3ab60&gt;
timeout = 900, interval = 1.0

    def wait_for(
        assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1
    ) -&gt; Any:
        """Wait for the assertion to succeed within timeout."""
        deadline = time.time() + timeout
        last_msg = None
        while True:
            try:
&gt;               return assertion_fn()

llmisvc/test_llm_inference_service.py:1215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

    def assert_llm_isvc_ready():
&gt;       out = get_llmisvc(
            kserve_client,
            given.metadata.name,
            given.metadata.namespace,
            given.api_version.split("/")[1],
        )

llmisvc/test_llm_inference_service.py:1174: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

kserve_client = &lt;kserve.api.kserve_client.KServeClient object at 0x7f3676f82ad0&gt;
name = 'llmisvc-model-pvc-router-manage-2577e794'
namespace = 'kserve-ci-e2e-test', version = 'v1alpha1'

    def get_llmisvc(
        kserve_client: KServeClient,
        name,
        namespace,
        version=constants.KSERVE_V1ALPHA1_VERSION,
    ):
        try:
            return kserve_client.api_instance.get_namespaced_custom_object(
                constants.KSERVE_GROUP,
                version,
                namespace,
                KSERVE_PLURAL_LLMINFERENCESERVICE,
                name,
            )
        except client.rest.ApiException as e:
&gt;           raise RuntimeError(
                f"❌ Exception when calling CustomObjectsApi-&gt;"
                f"get_namespaced_custom_object for LLMInferenceService: {e}"
            ) from e
E           RuntimeError: ❌ Exception when calling CustomObjectsApi-&gt;get_namespaced_custom_object for LLMInferenceService: (500)
E           Reason: Internal Server Error
E           HTTP response headers: HTTPHeaderDict({'Audit-Id': 'a0ecd197-7216-45b3-80ad-31a1f8781ca0', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'X-Kubernetes-Pf-Flowschema-Uid': '62c25c04-1b74-440c-829d-ad16fc1cf200', 'X-Kubernetes-Pf-Prioritylevel-Uid': 'cb35c139-d9c3-4bc0-991f-97459c16ce66', 'Date': 'Wed, 01 Jul 2026 20:28:05 GMT', 'Content-Length': '264'})
E           HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"conversion webhook for serving.kserve.io/v1alpha2, Kind=LLMInferenceService failed: Post \"https://llmisvc-webhook-server-service.kserve.svc:443/convert?timeout=30s\": EOF","code":500}

llmisvc/test_llm_inference_service.py:1051: RuntimeError</failure></testcase><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-no-scheduler-workload-single-cpu-model-fb-opt-125m]" time="310.790" /><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_multi_node-router-managed-workload-simulated-dp-ep-cpu-model-fb-opt-125m]" time="107.004"><failure message="RuntimeError: ❌ Exception when calling CustomObjectsApi-&gt;get_namespaced_custom_object for LLMInferenceService: (500)&#10;Reason: Internal Server Error&#10;HTTP response headers: HTTPHeaderDict({'Audit-Id': '0c658799-4ec0-4e4c-b6d0-5b9d6dee06aa', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'X-Kubernetes-Pf-Flowschema-Uid': '62c25c04-1b74-440c-829d-ad16fc1cf200', 'X-Kubernetes-Pf-Prioritylevel-Uid': 'cb35c139-d9c3-4bc0-991f-97459c16ce66', 'Date': 'Wed, 01 Jul 2026 20:28:04 GMT', 'Content-Length': '264'})&#10;HTTP response body: {&quot;kind&quot;:&quot;Status&quot;,&quot;apiVersion&quot;:&quot;v1&quot;,&quot;metadata&quot;:{},&quot;status&quot;:&quot;Failure&quot;,&quot;message&quot;:&quot;conversion webhook for serving.kserve.io/v1alpha2, Kind=LLMInferenceService failed: Post \&quot;https://llmisvc-webhook-server-service.kserve.svc:443/convert?timeout=30s\&quot;: EOF&quot;,&quot;code&quot;:500}">kserve_client = &lt;kserve.api.kserve_client.KServeClient object at 0x7efcce6ee390&gt;
name = 'llmisvc-model-fb-opt-125m-route-dc21cb14'
namespace = 'kserve-ci-e2e-test', version = 'v1alpha1'

    def get_llmisvc(
        kserve_client: KServeClient,
        name,
        namespace,
        version=constants.KSERVE_V1ALPHA1_VERSION,
    ):
        try:
&gt;           return kserve_client.api_instance.get_namespaced_custom_object(
                constants.KSERVE_GROUP,
                version,
                namespace,
                KSERVE_PLURAL_LLMINFERENCESERVICE,
                name,
            )

llmisvc/test_llm_inference_service.py:1043: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api.custom_objects_api.CustomObjectsApi object at 0x7efcce6effd0&gt;
group = 'serving.kserve.io', version = 'v1alpha1'
namespace = 'kserve-ci-e2e-test', plural = 'llminferenceservices'
name = 'llmisvc-model-fb-opt-125m-route-dc21cb14'
kwargs = {'_return_http_data_only': True}

    def get_namespaced_custom_object(self, group, version, namespace, plural, name, **kwargs):  # noqa: E501
        """get_namespaced_custom_object  # noqa: E501
    
        Returns a namespace scoped custom object  # noqa: E501
        This method makes a synchronous HTTP request by default. To make an
        asynchronous HTTP request, please pass async_req=True
        &gt;&gt;&gt; thread = api.get_namespaced_custom_object(group, version, namespace, plural, name, async_req=True)
        &gt;&gt;&gt; result = thread.get()
    
        :param async_req bool: execute request asynchronously
        :param str group: the custom resource's group (required)
        :param str version: the custom resource's version (required)
        :param str namespace: The custom resource's namespace (required)
        :param str plural: the custom resource's plural name. For TPRs this would be lowercase plural kind. (required)
        :param str name: the custom object's name (required)
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        :return: object
                 If the method is called asynchronously,
                 returns the request thread.
        """
        kwargs['_return_http_data_only'] = True
&gt;       return self.get_namespaced_custom_object_with_http_info(group, version, namespace, plural, name, **kwargs)  # noqa: E501

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/custom_objects_api.py:1632: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api.custom_objects_api.CustomObjectsApi object at 0x7efcce6effd0&gt;
group = 'serving.kserve.io', version = 'v1alpha1'
namespace = 'kserve-ci-e2e-test', plural = 'llminferenceservices'
name = 'llmisvc-model-fb-opt-125m-route-dc21cb14'
kwargs = {'_return_http_data_only': True}
local_var_params = {'_return_http_data_only': True, 'all_params': ['group', 'version', 'namespace', 'plural', 'name', 'async_req', ...], 'auth_settings': ['BearerToken'], 'body_params': None, ...}
all_params = ['group', 'version', 'namespace', 'plural', 'name', 'async_req', ...]
key = '_return_http_data_only', val = True, collection_formats = {}
path_params = {'group': 'serving.kserve.io', 'name': 'llmisvc-model-fb-opt-125m-route-dc21cb14', 'namespace': 'kserve-ci-e2e-test', 'plural': 'llminferenceservices', ...}
query_params = []

    def get_namespaced_custom_object_with_http_info(self, group, version, namespace, plural, name, **kwargs):  # noqa: E501
        """get_namespaced_custom_object  # noqa: E501
    
        Returns a namespace scoped custom object  # noqa: E501
        This method makes a synchronous HTTP request by default. To make an
        asynchronous HTTP request, please pass async_req=True
        &gt;&gt;&gt; thread = api.get_namespaced_custom_object_with_http_info(group, version, namespace, plural, name, async_req=True)
        &gt;&gt;&gt; result = thread.get()
    
        :param async_req bool: execute request asynchronously
        :param str group: the custom resource's group (required)
        :param str version: the custom resource's version (required)
        :param str namespace: The custom resource's namespace (required)
        :param str plural: the custom resource's plural name. For TPRs this would be lowercase plural kind. (required)
        :param str name: the custom object's name (required)
        :param _return_http_data_only: response data without head status code
                                       and headers
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        :return: tuple(object, status_code(int), headers(HTTPHeaderDict))
                 If the method is called asynchronously,
                 returns the request thread.
        """
    
        local_var_params = locals()
    
        all_params = [
            'group',
            'version',
            'namespace',
            'plural',
            'name'
        ]
        all_params.extend(
            [
                'async_req',
                '_return_http_data_only',
                '_preload_content',
                '_request_timeout'
            ]
        )
    
        for key, val in six.iteritems(local_var_params['kwargs']):
            if key not in all_params:
                raise ApiTypeError(
                    "Got an unexpected keyword argument '%s'"
                    " to method get_namespaced_custom_object" % key
                )
            local_var_params[key] = val
        del local_var_params['kwargs']
        # verify the required parameter 'group' is set
        if self.api_client.client_side_validation and ('group' not in local_var_params or  # noqa: E501
                                                        local_var_params['group'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `group` when calling `get_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'version' is set
        if self.api_client.client_side_validation and ('version' not in local_var_params or  # noqa: E501
                                                        local_var_params['version'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `version` when calling `get_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'namespace' is set
        if self.api_client.client_side_validation and ('namespace' not in local_var_params or  # noqa: E501
                                                        local_var_params['namespace'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `namespace` when calling `get_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'plural' is set
        if self.api_client.client_side_validation and ('plural' not in local_var_params or  # noqa: E501
                                                        local_var_params['plural'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `plural` when calling `get_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'name' is set
        if self.api_client.client_side_validation and ('name' not in local_var_params or  # noqa: E501
                                                        local_var_params['name'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `name` when calling `get_namespaced_custom_object`")  # noqa: E501
    
        collection_formats = {}
    
        path_params = {}
        if 'group' in local_var_params:
            path_params['group'] = local_var_params['group']  # noqa: E501
        if 'version' in local_var_params:
            path_params['version'] = local_var_params['version']  # noqa: E501
        if 'namespace' in local_var_params:
            path_params['namespace'] = local_var_params['namespace']  # noqa: E501
        if 'plural' in local_var_params:
            path_params['plural'] = local_var_params['plural']  # noqa: E501
        if 'name' in local_var_params:
            path_params['name'] = local_var_params['name']  # noqa: E501
    
        query_params = []
    
        header_params = {}
    
        form_params = []
        local_var_files = {}
    
        body_params = None
        # HTTP header `Accept`
        header_params['Accept'] = self.api_client.select_header_accept(
            ['application/json'])  # noqa: E501
    
        # Authentication setting
        auth_settings = ['BearerToken']  # noqa: E501
    
&gt;       return self.api_client.call_api(
            '/apis/{group}/{version}/namespaces/{namespace}/{plural}/{name}', 'GET',
            path_params,
            query_params,
            header_params,
            body=body_params,
            post_params=form_params,
            files=local_var_files,
            response_type='object',  # noqa: E501
            auth_settings=auth_settings,
            async_req=local_var_params.get('async_req'),
            _return_http_data_only=local_var_params.get('_return_http_data_only'),  # noqa: E501
            _preload_content=local_var_params.get('_preload_content', True),
            _request_timeout=local_var_params.get('_request_timeout'),
            collection_formats=collection_formats)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/custom_objects_api.py:1739: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api_client.ApiClient object at 0x7efcce6ed5d0&gt;
resource_path = '/apis/{group}/{version}/namespaces/{namespace}/{plural}/{name}'
method = 'GET'
path_params = {'group': 'serving.kserve.io', 'name': 'llmisvc-model-fb-opt-125m-route-dc21cb14', 'namespace': 'kserve-ci-e2e-test', 'plural': 'llminferenceservices', ...}
query_params = []
header_params = {'Accept': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
body = None, post_params = [], files = {}, response_type = 'object'
auth_settings = ['BearerToken'], async_req = None, _return_http_data_only = True
collection_formats = {}, _preload_content = True, _request_timeout = None
_host = None

    def call_api(self, resource_path, method,
                 path_params=None, query_params=None, header_params=None,
                 body=None, post_params=None, files=None,
                 response_type=None, auth_settings=None, async_req=None,
                 _return_http_data_only=None, collection_formats=None,
                 _preload_content=True, _request_timeout=None, _host=None):
        """Makes the HTTP request (synchronous) and returns deserialized data.
    
        To make an async_req request, set the async_req parameter.
    
        :param resource_path: Path to method endpoint.
        :param method: Method to call.
        :param path_params: Path parameters in the url.
        :param query_params: Query parameters in the url.
        :param header_params: Header parameters to be
            placed in the request header.
        :param body: Request body.
        :param post_params dict: Request post form parameters,
            for `application/x-www-form-urlencoded`, `multipart/form-data`.
        :param auth_settings list: Auth Settings names for the request.
        :param response: Response data type.
        :param files dict: key -&gt; filename, value -&gt; filepath,
            for `multipart/form-data`.
        :param async_req bool: execute request asynchronously
        :param _return_http_data_only: response data without head status code
                                       and headers
        :param collection_formats: dict of collection formats for path, query,
            header, and post parameters.
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        :return:
            If async_req parameter is True,
            the request will be called asynchronously.
            The method will return the request thread.
            If parameter async_req is False or missing,
            then the method will return the response directly.
        """
        if not async_req:
&gt;           return self.__call_api(resource_path, method,
                                   path_params, query_params, header_params,
                                   body, post_params, files,
                                   response_type, auth_settings,
                                   _return_http_data_only, collection_formats,
                                   _preload_content, _request_timeout, _host)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:348: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api_client.ApiClient object at 0x7efcce6ed5d0&gt;
resource_path = '/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceservices/llmisvc-model-fb-opt-125m-route-dc21cb14'
method = 'GET'
path_params = [('group', 'serving.kserve.io'), ('version', 'v1alpha1'), ('namespace', 'kserve-ci-e2e-test'), ('plural', 'llminferenceservices'), ('name', 'llmisvc-model-fb-opt-125m-route-dc21cb14')]
query_params = []
header_params = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
body = None, post_params = [], files = {}, response_type = 'object'
auth_settings = ['BearerToken'], _return_http_data_only = True
collection_formats = {}, _preload_content = True, _request_timeout = None
_host = None

    def __call_api(
            self, resource_path, method, path_params=None,
            query_params=None, header_params=None, body=None, post_params=None,
            files=None, response_type=None, auth_settings=None,
            _return_http_data_only=None, collection_formats=None,
            _preload_content=True, _request_timeout=None, _host=None):
    
        config = self.configuration
    
        # header parameters
        header_params = header_params or {}
        header_params.update(self.default_headers)
        if self.cookie:
            header_params['Cookie'] = self.cookie
        if header_params:
            header_params = self.sanitize_for_serialization(header_params)
            header_params = dict(self.parameters_to_tuples(header_params,
                                                           collection_formats))
    
        # path parameters
        if path_params:
            path_params = self.sanitize_for_serialization(path_params)
            path_params = self.parameters_to_tuples(path_params,
                                                    collection_formats)
            for k, v in path_params:
                # specified safe chars, encode everything
                resource_path = resource_path.replace(
                    '{%s}' % k,
                    quote(str(v), safe=config.safe_chars_for_path_param)
                )
    
        # query parameters
        if query_params:
            query_params = self.sanitize_for_serialization(query_params)
            query_params = self.parameters_to_tuples(query_params,
                                                     collection_formats)
    
        # post parameters
        if post_params or files:
            post_params = post_params if post_params else []
            post_params = self.sanitize_for_serialization(post_params)
            post_params = self.parameters_to_tuples(post_params,
                                                    collection_formats)
            post_params.extend(self.files_parameters(files))
    
        # auth setting
        self.update_params_for_auth(header_params, query_params, auth_settings)
    
        # body
        if body:
            body = self.sanitize_for_serialization(body)
    
        # request url
        if _host is None:
            url = self.configuration.host + resource_path
        else:
            # use server/host defined in path or operation instead
            url = _host + resource_path
    
        # perform request and return response
&gt;       response_data = self.request(
            method, url, query_params=query_params, headers=header_params,
            post_params=post_params, body=body,
            _preload_content=_preload_content,
            _request_timeout=_request_timeout)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:180: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api_client.ApiClient object at 0x7efcce6ed5d0&gt;
method = 'GET'
url = 'https://a4b1bbcc0651547b89874fa30976e364-970c7c6812ac1917.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceservices/llmisvc-model-fb-opt-125m-route-dc21cb14'
query_params = []
headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
post_params = [], body = None, _preload_content = True, _request_timeout = None

    def request(self, method, url, query_params=None, headers=None,
                post_params=None, body=None, _preload_content=True,
                _request_timeout=None):
        """Makes the HTTP request using RESTClient."""
        if method == "GET":
&gt;           return self.rest_client.GET(url,
                                        query_params=query_params,
                                        _preload_content=_preload_content,
                                        _request_timeout=_request_timeout,

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:373: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.rest.RESTClientObject object at 0x7efcce6ef8d0&gt;
url = 'https://a4b1bbcc0651547b89874fa30976e364-970c7c6812ac1917.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceservices/llmisvc-model-fb-opt-125m-route-dc21cb14'
headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
query_params = [], _preload_content = True, _request_timeout = None

    def GET(self, url, headers=None, query_params=None, _preload_content=True,
            _request_timeout=None):
&gt;       return self.request("GET", url,
                            headers=headers,
                            _preload_content=_preload_content,
                            _request_timeout=_request_timeout,
                            query_params=query_params)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:244: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.rest.RESTClientObject object at 0x7efcce6ef8d0&gt;
method = 'GET'
url = 'https://a4b1bbcc0651547b89874fa30976e364-970c7c6812ac1917.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceservices/llmisvc-model-fb-opt-125m-route-dc21cb14'
query_params = []
headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
body = None, post_params = {}, _preload_content = True, _request_timeout = None

    def request(self, method, url, query_params=None, headers=None,
                body=None, post_params=None, _preload_content=True,
                _request_timeout=None):
        """Perform requests.
    
        :param method: http request method
        :param url: http request url
        :param query_params: query parameters in the url
        :param headers: http request headers
        :param body: request json body, for `application/json`
        :param post_params: request post parameters,
                            `application/x-www-form-urlencoded`
                            and `multipart/form-data`
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        """
        method = method.upper()
        assert method in ['GET', 'HEAD', 'DELETE', 'POST', 'PUT',
                          'PATCH', 'OPTIONS']
    
        if post_params and body:
            raise ApiValueError(
                "body parameter cannot be used with post_params parameter."
            )
    
        post_params = post_params or {}
        headers = headers or {}
    
        timeout = None
        if _request_timeout:
            if isinstance(_request_timeout, (int, ) if six.PY3 else (int, long)):  # noqa: E501,F821
                timeout = urllib3.Timeout(total=_request_timeout)
            elif (isinstance(_request_timeout, tuple) and
                  len(_request_timeout) == 2):
                timeout = urllib3.Timeout(
                    connect=_request_timeout[0], read=_request_timeout[1])
    
        if 'Content-Type' not in headers:
            headers['Content-Type'] = 'application/json'
    
        try:
            # For `POST`, `PUT`, `PATCH`, `OPTIONS`, `DELETE`
            if method in ['POST', 'PUT', 'PATCH', 'OPTIONS', 'DELETE']:
                if query_params:
                    url += '?' + urlencode(query_params)
                if (re.search('json', headers['Content-Type'], re.IGNORECASE) or
                        headers['Content-Type'] == 'application/apply-patch+yaml'):
                    if headers['Content-Type'] == 'application/json-patch+json':
                        if not isinstance(body, list):
                            headers['Content-Type'] = \
                                'application/strategic-merge-patch+json'
                    request_body = None
                    if body is not None:
                        request_body = json.dumps(body)
                    r = self.pool_manager.request(
                        method, url,
                        body=request_body,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                elif headers['Content-Type'] == 'application/x-www-form-urlencoded':  # noqa: E501
                    r = self.pool_manager.request(
                        method, url,
                        fields=post_params,
                        encode_multipart=False,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                elif headers['Content-Type'] == 'multipart/form-data':
                    # must del headers['Content-Type'], or the correct
                    # Content-Type which generated by urllib3 will be
                    # overwritten.
                    del headers['Content-Type']
                    r = self.pool_manager.request(
                        method, url,
                        fields=post_params,
                        encode_multipart=True,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                # Pass a `string` parameter directly in the body to support
                # other content types than Json when `body` argument is
                # provided in serialized form
                elif isinstance(body, str) or isinstance(body, bytes):
                    request_body = body
                    r = self.pool_manager.request(
                        method, url,
                        body=request_body,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                else:
                    # Cannot generate the request from given parameters
                    msg = """Cannot prepare a request message for provided
                             arguments. Please check that your arguments match
                             declared content type."""
                    raise ApiException(status=0, reason=msg)
            # For `GET`, `HEAD`
            else:
                r = self.pool_manager.request(method, url,
                                              fields=query_params,
                                              preload_content=_preload_content,
                                              timeout=timeout,
                                              headers=headers)
        except urllib3.exceptions.SSLError as e:
            msg = "{0}\n{1}".format(type(e).__name__, str(e))
            raise ApiException(status=0, reason=msg)
    
        if _preload_content:
            r = RESTResponse(r)
    
            # In the python 3, the response.data is bytes.
            # we need to decode it to string.
            if six.PY3:
                r.data = r.data.decode('utf8')
    
            # log response body
            logger.debug("response body: %s", r.data)
    
        if not 200 &lt;= r.status &lt;= 299:
&gt;           raise ApiException(http_resp=r)
E           kubernetes.client.exceptions.ApiException: (500)
E           Reason: Internal Server Error
E           HTTP response headers: HTTPHeaderDict({'Audit-Id': '0c658799-4ec0-4e4c-b6d0-5b9d6dee06aa', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'X-Kubernetes-Pf-Flowschema-Uid': '62c25c04-1b74-440c-829d-ad16fc1cf200', 'X-Kubernetes-Pf-Prioritylevel-Uid': 'cb35c139-d9c3-4bc0-991f-97459c16ce66', 'Date': 'Wed, 01 Jul 2026 20:28:04 GMT', 'Content-Length': '264'})
E           HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"conversion webhook for serving.kserve.io/v1alpha2, Kind=LLMInferenceService failed: Post \"https://llmisvc-webhook-server-service.kserve.svc:443/convert?timeout=30s\": EOF","code":500}

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:238: ApiException

The above exception was the direct cause of the following exception:

test_case = TestCase(base_refs=['router-managed', 'workload-simulated-dp-ep-cpu', 'model-fb-opt-125m'], prompt='This test simulate...              {'name': 'model-fb-opt-125m-llmisvc-model-9f2e00e5'}]},
 'status': None}, model_name='facebook/opt-125m')

    @pytest.mark.llminferenceservice
    @pytest.mark.asyncio(loop_scope="session")
    @pytest.mark.parametrize(
        "test_case",
        [
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-gateway-ref",
                        "router-with-managed-route",
                        "model-fb-opt-125m",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="custom-route-timeout-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs",
                        "scheduler-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="KServe is a",
                    service_name="router-with-refs-test",
                    expected_gateway=ROUTER_GATEWAYS[0],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[0]],
                            routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-custom-route-timeout-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="custom-route-timeout-pd-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-with-refs-pd",
                        "scheduler-managed",
                        "workload-pd-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. "
                    "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. "
                    "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.",
                    service_name="router-with-refs-pd-test",
                    response_assertion=assert_200_with_choices,
                    expected_gateway=ROUTER_GATEWAYS[1],
                    before_test=[
                        lambda: create_router_resources(
                            gateways=[ROUTER_GATEWAYS[1]],
                            routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]],
                        )
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.custom_gateway,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-dp-ep-gpu",
                        "workload-dp-ep-prefill-gpu",
                        "model-deepseek-v2-lite",
                    ],
                    prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically "
                    "where the compute plane (P) and the data plane (D) are independently deployed and managed for a "
                    "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the "
                    "fundamental challenges of network latency and data consistency, elaborate on the advanced "
                    "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: "
                    "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to "
                    "evolve to support optimal performance and minimize inter-plane communication overhead, especially for "
                    "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically "
                    "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: "
                    "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) "
                    "and their applicability in balancing performance and data integrity across a globally distributed data plane. "
                    "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, "
                    "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. "
                    "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently "
                    "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, "
                    "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). "
                    "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on "
                    "workload patterns and data locality, potentially involving live migration strategies. "
                    "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter "
                    "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), "
                    "fine-grained access control to data at rest and in motion, and identity management across disaggregated "
                    "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) "
                    "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: "
                    "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and "
                    "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) "
                    "would be essential? How would incident response and troubleshooting differ in this disaggregated environment "
                    "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across "
                    "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries "
                    "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) "
                    "where the benefits of P/D disaggregation would strongly outweigh its complexities. "
                    "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions "
                    "directly interacting with object storage, in-memory disaggregation) that could further drive or "
                    "transform P/D disaggregation in cloud computing.",
                    max_tokens=2000,
                ),
                marks=[
                    pytest.mark.cluster_gpu,
                    pytest.mark.cluster_nvidia,
                    pytest.mark.cluster_nvidia_roce,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-no-scheduler",
                        "workload-single-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="What is KServe?",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.no_scheduler,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-fb-opt-125m",
                    ],
                    prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, "
                    "but without the resources requirements for DP+EP (GPUs and ROCe/IB).",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node],
            ),
            # Scheduler config tests
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-inline-config",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-inline-config-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Chat completions endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                        "model-qwen2.5-0.5b",
                    ],
                    model_name="Qwen/Qwen2.5-0.5B-Instruct",
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=create_response_assertion(with_field="choices"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-configmap-ref",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-configmap-ref-test",
                    before_test=[create_scheduler_configmap],
                    after_test=[delete_scheduler_configmap],
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-replicas",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-ha-replicas-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-custom-template",
                        "workload-llmd-simulator",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-custom-template-test",
                ),
                marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node],
            ),
            # Scheduler v0.6 → v0.7 migration tests.
            # Deploy v0.6-style configs and verify the controller migrates them
            # so the v0.7 scheduler boots successfully.
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-pd-config-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-pd-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-v06-nonzero-threshold-migration",
                        "workload-llmd-simulator-pd",
                    ],
                    prompt="KServe is a",
                    service_name="scheduler-v06-threshold-migration-test",
                    response_assertion=assert_200_with_choices,
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Precise prefix KV cache routing test
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "scheduler-with-precise-prefix-cache-inline-config",
                        "workload-llmd-simulator-kvcache",
                    ],
                    prompt="KServe is a",
                    service_name="precise-prefix-cache-test",
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Models endpoint coverage
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/models",
                    response_assertion=create_response_assertion(with_field="data"),
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/completions",
                            prompt="KServe is a",
                            payload_formatter=completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-llmd-simulator",
                    ],
                    endpoint="/v1/chat/completions",
                    prompt="What is KServe?",
                    payload_formatter=chat_completions_payload,
                    response_assertion=assert_model_field_matches("facebook/opt-125m"),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                    peers=[
                        TestCase(
                            base_refs=[
                                "router-managed",
                                "workload-llmd-simulator",
                                "model-qwen2.5-0.5b",
                            ],
                            endpoint="/v1/chat/completions",
                            prompt="What is KServe?",
                            payload_formatter=chat_completions_payload,
                            response_assertion=assert_model_field_matches(
                                "Qwen/Qwen2.5-0.5B-Instruct"
                            ),
                            url_getter=get_model_routing_url,
                            extra_headers={
                                MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct",
                            },
                        ),
                    ],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.llmd_simulator,
                    pytest.mark.model_routing,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — LoRA adapter
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/completions",
                    prompt="KServe is a",
                    model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    payload_formatter=completions_payload,
                    response_assertion=assert_model_field_matches(
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1"
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA)
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-fb-opt-125m-with-lora-hf",
                    ],
                    endpoint="/v1/models",
                    response_assertion=assert_models_contains(
                        "facebook/opt-125m",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                        "lora-adapter-1",
                        f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1",
                    ),
                    url_getter=get_model_routing_url,
                    extra_headers={
                        MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m",
                    },
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.model_routing,
                    pytest.mark.lora,
                ],
            ),
            # PVC storage tests -- validate direct PVC volume mount with real vLLM serving
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-single-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-pd-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    response_assertion=assert_200_with_choices,
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_single_node,
                    pytest.mark.pvc_storage,
                ],
            ),
            pytest.param(
                TestCase(
                    base_refs=[
                        "router-managed",
                        "workload-simulated-dp-ep-cpu",
                        "model-pvc",
                    ],
                    prompt="KServe is a",
                    before_test=[ensure_pvc_with_model],
                ),
                marks=[
                    pytest.mark.cluster_cpu,
                    pytest.mark.cluster_multi_node,
                    pytest.mark.pvc_storage,
                ],
            ),
        ],
        indirect=["test_case"],
        ids=generate_test_id,
    )
    @log_execution
    def test_llm_inference_service(test_case: TestCase):  # noqa: F811
        inject_k8s_proxy()
    
        kserve_client = KServeClient(
            config_file=os.environ.get("KUBECONFIG", "~/.kube/config"),
            client_configuration=client.Configuration(),
        )
    
        service_name = test_case.llm_service.metadata.name
        if not test_case.llm_service.metadata.annotations:
            test_case.llm_service.metadata.annotations = {}
    
        test_case.llm_service.metadata.annotations[
            "security.opendatahub.io/enable-auth"
        ] = "false"
        prefix = test_case.log_prefix
    
        test_failed = False
        try:
            print(f"{prefix} Creating LLMInferenceService {service_name}")
            create_llmisvc(kserve_client, test_case.llm_service)
            print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready")
&gt;           wait_for_llm_isvc_ready(
                kserve_client, test_case.llm_service, test_case.wait_timeout
            )

llmisvc/test_llm_inference_service.py:812: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (&lt;kserve.api.kserve_client.KServeClient object at 0x7efcce6ee390&gt;, {'api_version': 'serving.kserve.io/v1alpha1',
 'kin...pu-ll-b2c82424'},
                       {'name': 'model-fb-opt-125m-llmisvc-model-9f2e00e5'}]},
 'status': None}, 900)
kwargs = {}, func_name = 'wait_for_llm_isvc_ready'
timestamp_start = '2026-07-01T20:26:19.681632', start_time = 1782937579.6819565
duration = 104.78146743774414, timestamp_end = '2026-07-01T20:28:04.463438'

    @functools.wraps(func)
    def wrapper(*args, **kwargs):
        func_name = func.__name__
    
        timestamp_start = datetime.now().isoformat()
        logger.info(
            f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}"
        )
        start_time = time.time()
    
        try:
&gt;           result = func(*args, **kwargs)

llmisvc/logging.py:40: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

kserve_client = &lt;kserve.api.kserve_client.KServeClient object at 0x7efcce6ee390&gt;
given = {'api_version': 'serving.kserve.io/v1alpha1',
 'kind': 'LLMInferenceService',
 'metadata': {'annotations': {'security....p-ep-cpu-ll-b2c82424'},
                       {'name': 'model-fb-opt-125m-llmisvc-model-9f2e00e5'}]},
 'status': None}
timeout_seconds = 900

    @log_execution
    def wait_for_llm_isvc_ready(
        kserve_client: KServeClient,
        given: V1alpha1LLMInferenceService,
        timeout_seconds: int = 900,
    ) -&gt; str:
        def assert_llm_isvc_ready():
            out = get_llmisvc(
                kserve_client,
                given.metadata.name,
                given.metadata.namespace,
                given.api_version.split("/")[1],
            )
    
            if "status" not in out:
                raise AssertionError("No status found in LLM inference service")
    
            status = out["status"]
            if "conditions" not in status:
                raise AssertionError("No conditions found in status")
    
            expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"}
            got_true_conditions = set()
    
            conditions = status["conditions"]
    
            for condition in conditions:
                if condition.get("status") == "True":
                    got_true_conditions.add(condition.get("type"))
    
            missing_conditions = expected_true_conditions - got_true_conditions
            if missing_conditions:
                raise AssertionError(
                    f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}"
                )
            return True
    
&gt;       return wait_for(assert_llm_isvc_ready, timeout=timeout_seconds, interval=1.0)

llmisvc/test_llm_inference_service.py:1204: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

assertion_fn = &lt;function wait_for_llm_isvc_ready.&lt;locals&gt;.assert_llm_isvc_ready at 0x7efcce8cbc40&gt;
timeout = 900, interval = 1.0

    def wait_for(
        assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1
    ) -&gt; Any:
        """Wait for the assertion to succeed within timeout."""
        deadline = time.time() + timeout
        last_msg = None
        while True:
            try:
&gt;               return assertion_fn()

llmisvc/test_llm_inference_service.py:1215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

    def assert_llm_isvc_ready():
&gt;       out = get_llmisvc(
            kserve_client,
            given.metadata.name,
            given.metadata.namespace,
            given.api_version.split("/")[1],
        )

llmisvc/test_llm_inference_service.py:1174: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

kserve_client = &lt;kserve.api.kserve_client.KServeClient object at 0x7efcce6ee390&gt;
name = 'llmisvc-model-fb-opt-125m-route-dc21cb14'
namespace = 'kserve-ci-e2e-test', version = 'v1alpha1'

    def get_llmisvc(
        kserve_client: KServeClient,
        name,
        namespace,
        version=constants.KSERVE_V1ALPHA1_VERSION,
    ):
        try:
            return kserve_client.api_instance.get_namespaced_custom_object(
                constants.KSERVE_GROUP,
                version,
                namespace,
                KSERVE_PLURAL_LLMINFERENCESERVICE,
                name,
            )
        except client.rest.ApiException as e:
&gt;           raise RuntimeError(
                f"❌ Exception when calling CustomObjectsApi-&gt;"
                f"get_namespaced_custom_object for LLMInferenceService: {e}"
            ) from e
E           RuntimeError: ❌ Exception when calling CustomObjectsApi-&gt;get_namespaced_custom_object for LLMInferenceService: (500)
E           Reason: Internal Server Error
E           HTTP response headers: HTTPHeaderDict({'Audit-Id': '0c658799-4ec0-4e4c-b6d0-5b9d6dee06aa', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'X-Kubernetes-Pf-Flowschema-Uid': '62c25c04-1b74-440c-829d-ad16fc1cf200', 'X-Kubernetes-Pf-Prioritylevel-Uid': 'cb35c139-d9c3-4bc0-991f-97459c16ce66', 'Date': 'Wed, 01 Jul 2026 20:28:04 GMT', 'Content-Length': '264'})
E           HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"conversion webhook for serving.kserve.io/v1alpha2, Kind=LLMInferenceService failed: Post \"https://llmisvc-webhook-server-service.kserve.svc:443/convert?timeout=30s\": EOF","code":500}

llmisvc/test_llm_inference_service.py:1051: RuntimeError</failure></testcase><testcase classname="llmisvc.test_llm_inference_service" name="test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-inline-config-workload-llmd-simulator]" time="0.048"><error message="failed on setup with &quot;kubernetes.client.exceptions.ApiException: (500)&#10;Reason: Internal Server Error&#10;HTTP response headers: HTTPHeaderDict({'Audit-Id': 'fcc32870-fe36-4ac0-95a3-05110ead9509', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'X-Kubernetes-Pf-Flowschema-Uid': '62c25c04-1b74-440c-829d-ad16fc1cf200', 'X-Kubernetes-Pf-Prioritylevel-Uid': 'cb35c139-d9c3-4bc0-991f-97459c16ce66', 'Date': 'Wed, 01 Jul 2026 20:28:06 GMT', 'Content-Length': '701'})&#10;HTTP response body: {&quot;kind&quot;:&quot;Status&quot;,&quot;apiVersion&quot;:&quot;v1&quot;,&quot;metadata&quot;:{},&quot;status&quot;:&quot;Failure&quot;,&quot;message&quot;:&quot;Internal error occurred: failed calling webhook \&quot;llminferenceserviceconfig.kserve-webhook-server.v1alpha1.validator\&quot;: failed to call webhook: Post \&quot;https://llmisvc-webhook-server-service.kserve.svc:443/validate-serving-kserve-io-v1alpha1-llminferenceserviceconfig?timeout=10s\&quot;: EOF&quot;,&quot;reason&quot;:&quot;InternalError&quot;,&quot;details&quot;:{&quot;causes&quot;:[{&quot;message&quot;:&quot;failed calling webhook \&quot;llminferenceserviceconfig.kserve-webhook-server.v1alpha1.validator\&quot;: failed to call webhook: Post \&quot;https://llmisvc-webhook-server-service.kserve.svc:443/validate-serving-kserve-io-v1alpha1-llminferenceserviceconfig?timeout=10s\&quot;: EOF&quot;}]},&quot;code&quot;:500}&quot;">kserve_client = &lt;kserve.api.kserve_client.KServeClient object at 0x7efcce0bd4d0&gt;
llm_config = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...nline-23288697', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}}
namespace = 'kserve-ci-e2e-test'

    def _create_or_update_llmisvc_config(kserve_client, llm_config, namespace=None):
        """Create or update an LLMInferenceServiceConfig resource."""
        version = llm_config["apiVersion"].split("/")[1]
    
        if namespace is None:
            namespace = llm_config.get("metadata", {}).get("namespace", "default")
    
        name = llm_config.get("metadata", {}).get("name")
        if not name:
            raise ValueError("LLMInferenceServiceConfig must have a name in metadata")
    
        logger.info(f"Checking LLMInferenceServiceConfig {name} in namespace {namespace}")
    
        try:
&gt;           existing_config = kserve_client.api_instance.get_namespaced_custom_object(
                constants.KSERVE_GROUP,
                version,
                namespace,
                KSERVE_PLURAL_LLMINFERENCESERVICECONFIG,
                name,
            )

llmisvc/fixtures.py:1589: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api.custom_objects_api.CustomObjectsApi object at 0x7efcce7c7890&gt;
group = 'serving.kserve.io', version = 'v1alpha1'
namespace = 'kserve-ci-e2e-test', plural = 'llminferenceserviceconfigs'
name = 'router-managed-scheduler-inline-23288697'
kwargs = {'_return_http_data_only': True}

    def get_namespaced_custom_object(self, group, version, namespace, plural, name, **kwargs):  # noqa: E501
        """get_namespaced_custom_object  # noqa: E501
    
        Returns a namespace scoped custom object  # noqa: E501
        This method makes a synchronous HTTP request by default. To make an
        asynchronous HTTP request, please pass async_req=True
        &gt;&gt;&gt; thread = api.get_namespaced_custom_object(group, version, namespace, plural, name, async_req=True)
        &gt;&gt;&gt; result = thread.get()
    
        :param async_req bool: execute request asynchronously
        :param str group: the custom resource's group (required)
        :param str version: the custom resource's version (required)
        :param str namespace: The custom resource's namespace (required)
        :param str plural: the custom resource's plural name. For TPRs this would be lowercase plural kind. (required)
        :param str name: the custom object's name (required)
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        :return: object
                 If the method is called asynchronously,
                 returns the request thread.
        """
        kwargs['_return_http_data_only'] = True
&gt;       return self.get_namespaced_custom_object_with_http_info(group, version, namespace, plural, name, **kwargs)  # noqa: E501

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/custom_objects_api.py:1632: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api.custom_objects_api.CustomObjectsApi object at 0x7efcce7c7890&gt;
group = 'serving.kserve.io', version = 'v1alpha1'
namespace = 'kserve-ci-e2e-test', plural = 'llminferenceserviceconfigs'
name = 'router-managed-scheduler-inline-23288697'
kwargs = {'_return_http_data_only': True}
local_var_params = {'_return_http_data_only': True, 'all_params': ['group', 'version', 'namespace', 'plural', 'name', 'async_req', ...], 'auth_settings': ['BearerToken'], 'body_params': None, ...}
all_params = ['group', 'version', 'namespace', 'plural', 'name', 'async_req', ...]
key = '_return_http_data_only', val = True, collection_formats = {}
path_params = {'group': 'serving.kserve.io', 'name': 'router-managed-scheduler-inline-23288697', 'namespace': 'kserve-ci-e2e-test', 'plural': 'llminferenceserviceconfigs', ...}
query_params = []

    def get_namespaced_custom_object_with_http_info(self, group, version, namespace, plural, name, **kwargs):  # noqa: E501
        """get_namespaced_custom_object  # noqa: E501
    
        Returns a namespace scoped custom object  # noqa: E501
        This method makes a synchronous HTTP request by default. To make an
        asynchronous HTTP request, please pass async_req=True
        &gt;&gt;&gt; thread = api.get_namespaced_custom_object_with_http_info(group, version, namespace, plural, name, async_req=True)
        &gt;&gt;&gt; result = thread.get()
    
        :param async_req bool: execute request asynchronously
        :param str group: the custom resource's group (required)
        :param str version: the custom resource's version (required)
        :param str namespace: The custom resource's namespace (required)
        :param str plural: the custom resource's plural name. For TPRs this would be lowercase plural kind. (required)
        :param str name: the custom object's name (required)
        :param _return_http_data_only: response data without head status code
                                       and headers
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        :return: tuple(object, status_code(int), headers(HTTPHeaderDict))
                 If the method is called asynchronously,
                 returns the request thread.
        """
    
        local_var_params = locals()
    
        all_params = [
            'group',
            'version',
            'namespace',
            'plural',
            'name'
        ]
        all_params.extend(
            [
                'async_req',
                '_return_http_data_only',
                '_preload_content',
                '_request_timeout'
            ]
        )
    
        for key, val in six.iteritems(local_var_params['kwargs']):
            if key not in all_params:
                raise ApiTypeError(
                    "Got an unexpected keyword argument '%s'"
                    " to method get_namespaced_custom_object" % key
                )
            local_var_params[key] = val
        del local_var_params['kwargs']
        # verify the required parameter 'group' is set
        if self.api_client.client_side_validation and ('group' not in local_var_params or  # noqa: E501
                                                        local_var_params['group'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `group` when calling `get_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'version' is set
        if self.api_client.client_side_validation and ('version' not in local_var_params or  # noqa: E501
                                                        local_var_params['version'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `version` when calling `get_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'namespace' is set
        if self.api_client.client_side_validation and ('namespace' not in local_var_params or  # noqa: E501
                                                        local_var_params['namespace'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `namespace` when calling `get_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'plural' is set
        if self.api_client.client_side_validation and ('plural' not in local_var_params or  # noqa: E501
                                                        local_var_params['plural'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `plural` when calling `get_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'name' is set
        if self.api_client.client_side_validation and ('name' not in local_var_params or  # noqa: E501
                                                        local_var_params['name'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `name` when calling `get_namespaced_custom_object`")  # noqa: E501
    
        collection_formats = {}
    
        path_params = {}
        if 'group' in local_var_params:
            path_params['group'] = local_var_params['group']  # noqa: E501
        if 'version' in local_var_params:
            path_params['version'] = local_var_params['version']  # noqa: E501
        if 'namespace' in local_var_params:
            path_params['namespace'] = local_var_params['namespace']  # noqa: E501
        if 'plural' in local_var_params:
            path_params['plural'] = local_var_params['plural']  # noqa: E501
        if 'name' in local_var_params:
            path_params['name'] = local_var_params['name']  # noqa: E501
    
        query_params = []
    
        header_params = {}
    
        form_params = []
        local_var_files = {}
    
        body_params = None
        # HTTP header `Accept`
        header_params['Accept'] = self.api_client.select_header_accept(
            ['application/json'])  # noqa: E501
    
        # Authentication setting
        auth_settings = ['BearerToken']  # noqa: E501
    
&gt;       return self.api_client.call_api(
            '/apis/{group}/{version}/namespaces/{namespace}/{plural}/{name}', 'GET',
            path_params,
            query_params,
            header_params,
            body=body_params,
            post_params=form_params,
            files=local_var_files,
            response_type='object',  # noqa: E501
            auth_settings=auth_settings,
            async_req=local_var_params.get('async_req'),
            _return_http_data_only=local_var_params.get('_return_http_data_only'),  # noqa: E501
            _preload_content=local_var_params.get('_preload_content', True),
            _request_timeout=local_var_params.get('_request_timeout'),
            collection_formats=collection_formats)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/custom_objects_api.py:1739: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api_client.ApiClient object at 0x7efcce7c6890&gt;
resource_path = '/apis/{group}/{version}/namespaces/{namespace}/{plural}/{name}'
method = 'GET'
path_params = {'group': 'serving.kserve.io', 'name': 'router-managed-scheduler-inline-23288697', 'namespace': 'kserve-ci-e2e-test', 'plural': 'llminferenceserviceconfigs', ...}
query_params = []
header_params = {'Accept': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
body = None, post_params = [], files = {}, response_type = 'object'
auth_settings = ['BearerToken'], async_req = None, _return_http_data_only = True
collection_formats = {}, _preload_content = True, _request_timeout = None
_host = None

    def call_api(self, resource_path, method,
                 path_params=None, query_params=None, header_params=None,
                 body=None, post_params=None, files=None,
                 response_type=None, auth_settings=None, async_req=None,
                 _return_http_data_only=None, collection_formats=None,
                 _preload_content=True, _request_timeout=None, _host=None):
        """Makes the HTTP request (synchronous) and returns deserialized data.
    
        To make an async_req request, set the async_req parameter.
    
        :param resource_path: Path to method endpoint.
        :param method: Method to call.
        :param path_params: Path parameters in the url.
        :param query_params: Query parameters in the url.
        :param header_params: Header parameters to be
            placed in the request header.
        :param body: Request body.
        :param post_params dict: Request post form parameters,
            for `application/x-www-form-urlencoded`, `multipart/form-data`.
        :param auth_settings list: Auth Settings names for the request.
        :param response: Response data type.
        :param files dict: key -&gt; filename, value -&gt; filepath,
            for `multipart/form-data`.
        :param async_req bool: execute request asynchronously
        :param _return_http_data_only: response data without head status code
                                       and headers
        :param collection_formats: dict of collection formats for path, query,
            header, and post parameters.
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        :return:
            If async_req parameter is True,
            the request will be called asynchronously.
            The method will return the request thread.
            If parameter async_req is False or missing,
            then the method will return the response directly.
        """
        if not async_req:
&gt;           return self.__call_api(resource_path, method,
                                   path_params, query_params, header_params,
                                   body, post_params, files,
                                   response_type, auth_settings,
                                   _return_http_data_only, collection_formats,
                                   _preload_content, _request_timeout, _host)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:348: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api_client.ApiClient object at 0x7efcce7c6890&gt;
resource_path = '/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs/router-managed-scheduler-inline-23288697'
method = 'GET'
path_params = [('group', 'serving.kserve.io'), ('version', 'v1alpha1'), ('namespace', 'kserve-ci-e2e-test'), ('plural', 'llminferenceserviceconfigs'), ('name', 'router-managed-scheduler-inline-23288697')]
query_params = []
header_params = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
body = None, post_params = [], files = {}, response_type = 'object'
auth_settings = ['BearerToken'], _return_http_data_only = True
collection_formats = {}, _preload_content = True, _request_timeout = None
_host = None

    def __call_api(
            self, resource_path, method, path_params=None,
            query_params=None, header_params=None, body=None, post_params=None,
            files=None, response_type=None, auth_settings=None,
            _return_http_data_only=None, collection_formats=None,
            _preload_content=True, _request_timeout=None, _host=None):
    
        config = self.configuration
    
        # header parameters
        header_params = header_params or {}
        header_params.update(self.default_headers)
        if self.cookie:
            header_params['Cookie'] = self.cookie
        if header_params:
            header_params = self.sanitize_for_serialization(header_params)
            header_params = dict(self.parameters_to_tuples(header_params,
                                                           collection_formats))
    
        # path parameters
        if path_params:
            path_params = self.sanitize_for_serialization(path_params)
            path_params = self.parameters_to_tuples(path_params,
                                                    collection_formats)
            for k, v in path_params:
                # specified safe chars, encode everything
                resource_path = resource_path.replace(
                    '{%s}' % k,
                    quote(str(v), safe=config.safe_chars_for_path_param)
                )
    
        # query parameters
        if query_params:
            query_params = self.sanitize_for_serialization(query_params)
            query_params = self.parameters_to_tuples(query_params,
                                                     collection_formats)
    
        # post parameters
        if post_params or files:
            post_params = post_params if post_params else []
            post_params = self.sanitize_for_serialization(post_params)
            post_params = self.parameters_to_tuples(post_params,
                                                    collection_formats)
            post_params.extend(self.files_parameters(files))
    
        # auth setting
        self.update_params_for_auth(header_params, query_params, auth_settings)
    
        # body
        if body:
            body = self.sanitize_for_serialization(body)
    
        # request url
        if _host is None:
            url = self.configuration.host + resource_path
        else:
            # use server/host defined in path or operation instead
            url = _host + resource_path
    
        # perform request and return response
&gt;       response_data = self.request(
            method, url, query_params=query_params, headers=header_params,
            post_params=post_params, body=body,
            _preload_content=_preload_content,
            _request_timeout=_request_timeout)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:180: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api_client.ApiClient object at 0x7efcce7c6890&gt;
method = 'GET'
url = 'https://a4b1bbcc0651547b89874fa30976e364-970c7c6812ac1917.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs/router-managed-scheduler-inline-23288697'
query_params = []
headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
post_params = [], body = None, _preload_content = True, _request_timeout = None

    def request(self, method, url, query_params=None, headers=None,
                post_params=None, body=None, _preload_content=True,
                _request_timeout=None):
        """Makes the HTTP request using RESTClient."""
        if method == "GET":
&gt;           return self.rest_client.GET(url,
                                        query_params=query_params,
                                        _preload_content=_preload_content,
                                        _request_timeout=_request_timeout,

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:373: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.rest.RESTClientObject object at 0x7efcce7c7a10&gt;
url = 'https://a4b1bbcc0651547b89874fa30976e364-970c7c6812ac1917.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs/router-managed-scheduler-inline-23288697'
headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
query_params = [], _preload_content = True, _request_timeout = None

    def GET(self, url, headers=None, query_params=None, _preload_content=True,
            _request_timeout=None):
&gt;       return self.request("GET", url,
                            headers=headers,
                            _preload_content=_preload_content,
                            _request_timeout=_request_timeout,
                            query_params=query_params)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:244: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.rest.RESTClientObject object at 0x7efcce7c7a10&gt;
method = 'GET'
url = 'https://a4b1bbcc0651547b89874fa30976e364-970c7c6812ac1917.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs/router-managed-scheduler-inline-23288697'
query_params = []
headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
body = None, post_params = {}, _preload_content = True, _request_timeout = None

    def request(self, method, url, query_params=None, headers=None,
                body=None, post_params=None, _preload_content=True,
                _request_timeout=None):
        """Perform requests.
    
        :param method: http request method
        :param url: http request url
        :param query_params: query parameters in the url
        :param headers: http request headers
        :param body: request json body, for `application/json`
        :param post_params: request post parameters,
                            `application/x-www-form-urlencoded`
                            and `multipart/form-data`
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        """
        method = method.upper()
        assert method in ['GET', 'HEAD', 'DELETE', 'POST', 'PUT',
                          'PATCH', 'OPTIONS']
    
        if post_params and body:
            raise ApiValueError(
                "body parameter cannot be used with post_params parameter."
            )
    
        post_params = post_params or {}
        headers = headers or {}
    
        timeout = None
        if _request_timeout:
            if isinstance(_request_timeout, (int, ) if six.PY3 else (int, long)):  # noqa: E501,F821
                timeout = urllib3.Timeout(total=_request_timeout)
            elif (isinstance(_request_timeout, tuple) and
                  len(_request_timeout) == 2):
                timeout = urllib3.Timeout(
                    connect=_request_timeout[0], read=_request_timeout[1])
    
        if 'Content-Type' not in headers:
            headers['Content-Type'] = 'application/json'
    
        try:
            # For `POST`, `PUT`, `PATCH`, `OPTIONS`, `DELETE`
            if method in ['POST', 'PUT', 'PATCH', 'OPTIONS', 'DELETE']:
                if query_params:
                    url += '?' + urlencode(query_params)
                if (re.search('json', headers['Content-Type'], re.IGNORECASE) or
                        headers['Content-Type'] == 'application/apply-patch+yaml'):
                    if headers['Content-Type'] == 'application/json-patch+json':
                        if not isinstance(body, list):
                            headers['Content-Type'] = \
                                'application/strategic-merge-patch+json'
                    request_body = None
                    if body is not None:
                        request_body = json.dumps(body)
                    r = self.pool_manager.request(
                        method, url,
                        body=request_body,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                elif headers['Content-Type'] == 'application/x-www-form-urlencoded':  # noqa: E501
                    r = self.pool_manager.request(
                        method, url,
                        fields=post_params,
                        encode_multipart=False,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                elif headers['Content-Type'] == 'multipart/form-data':
                    # must del headers['Content-Type'], or the correct
                    # Content-Type which generated by urllib3 will be
                    # overwritten.
                    del headers['Content-Type']
                    r = self.pool_manager.request(
                        method, url,
                        fields=post_params,
                        encode_multipart=True,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                # Pass a `string` parameter directly in the body to support
                # other content types than Json when `body` argument is
                # provided in serialized form
                elif isinstance(body, str) or isinstance(body, bytes):
                    request_body = body
                    r = self.pool_manager.request(
                        method, url,
                        body=request_body,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                else:
                    # Cannot generate the request from given parameters
                    msg = """Cannot prepare a request message for provided
                             arguments. Please check that your arguments match
                             declared content type."""
                    raise ApiException(status=0, reason=msg)
            # For `GET`, `HEAD`
            else:
                r = self.pool_manager.request(method, url,
                                              fields=query_params,
                                              preload_content=_preload_content,
                                              timeout=timeout,
                                              headers=headers)
        except urllib3.exceptions.SSLError as e:
            msg = "{0}\n{1}".format(type(e).__name__, str(e))
            raise ApiException(status=0, reason=msg)
    
        if _preload_content:
            r = RESTResponse(r)
    
            # In the python 3, the response.data is bytes.
            # we need to decode it to string.
            if six.PY3:
                r.data = r.data.decode('utf8')
    
            # log response body
            logger.debug("response body: %s", r.data)
    
        if not 200 &lt;= r.status &lt;= 299:
&gt;           raise ApiException(http_resp=r)
E           kubernetes.client.exceptions.ApiException: (404)
E           Reason: Not Found
E           HTTP response headers: HTTPHeaderDict({'Audit-Id': '061bb01e-8d04-4e6f-8d89-78e04078c541', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'X-Kubernetes-Pf-Flowschema-Uid': '62c25c04-1b74-440c-829d-ad16fc1cf200', 'X-Kubernetes-Pf-Prioritylevel-Uid': 'cb35c139-d9c3-4bc0-991f-97459c16ce66', 'Date': 'Wed, 01 Jul 2026 20:28:06 GMT', 'Content-Length': '338'})
E           HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"llminferenceserviceconfigs.serving.kserve.io \"router-managed-scheduler-inline-23288697\" not found","reason":"NotFound","details":{"name":"router-managed-scheduler-inline-23288697","group":"serving.kserve.io","kind":"llminferenceserviceconfigs"},"code":404}

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:238: ApiException

During handling of the above exception, another exception occurred:

request = &lt;SubRequest 'test_case' for &lt;Function test_llm_inference_service[router-managed-scheduler-with-inline-config-workload-llmd-simulator]&gt;&gt;

    @pytest.fixture(scope="function")
    def test_case(request):
        tc = request.param
    
        inject_k8s_proxy()
    
        kserve_client = KServeClient(
            config_file=os.environ.get("KUBECONFIG", "~/.kube/config"),
            client_configuration=client.Configuration(),
        )
    
        # Execute before test hooks
        try:
            for func in tc.before_test:
                func()
        except Exception as before_test_error:
            raise RuntimeError(
                f"Failed to execute before test hook: {before_test_error}"
            ) from before_test_error
    
        try:
&gt;           _setup_test_case_service(kserve_client, tc, request.node.name)

llmisvc/fixtures.py:1476: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

kserve_client = &lt;kserve.api.kserve_client.KServeClient object at 0x7efcce0bd4d0&gt;
tc = TestCase(base_refs=['router-managed', 'scheduler-with-inline-config', 'workload-llmd-simulator'], prompt='KServe is a'...None, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service=None, model_name='facebook/opt-125m')
test_node_name = 'test_llm_inference_service[router-managed-scheduler-with-inline-config-workload-llmd-simulator]'
peer_index = None

    def _setup_test_case_service(kserve_client, tc, test_node_name, peer_index=None):
        """Create LLMInferenceServiceConfigs and build the LLMInferenceService for a TestCase.
    
        Returns a list of created config names for cleanup tracking.
        """
        missing_refs = [
            ref for ref in tc.base_refs if ref not in LLMINFERENCESERVICE_CONFIGS
        ]
        if missing_refs:
            raise ValueError(
                f"Missing base_refs in LLMINFERENCESERVICE_CONFIGS: {missing_refs}"
            )
        if not tc.service_name:
            suffix = f"-peer-{peer_index}" if peer_index is not None else ""
            tc.service_name = generate_service_name(test_node_name + suffix, tc.base_refs)
        if tc.model_name == "default/model":
            tc.model_name = _get_model_name_from_configs(tc.base_refs)
    
        created_configs = []
        unique_base_refs = []
        for base_ref in tc.base_refs:
            unique_config_name = generate_k8s_safe_suffix(base_ref, [tc.service_name])
            unique_base_refs.append(unique_config_name)
    
            unique_config_body = {
                "apiVersion": "serving.kserve.io/v1alpha1",
                "kind": "LLMInferenceServiceConfig",
                "metadata": {
                    "name": unique_config_name,
                    "namespace": KSERVE_TEST_NAMESPACE,
                },
                "spec": LLMINFERENCESERVICE_CONFIGS[base_ref],
            }
    
&gt;           _create_or_update_llmisvc_config(
                kserve_client, unique_config_body, KSERVE_TEST_NAMESPACE
            )

llmisvc/fixtures.py:1436: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

kserve_client = &lt;kserve.api.kserve_client.KServeClient object at 0x7efcce0bd4d0&gt;
llm_config = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...nline-23288697', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}}
namespace = 'kserve-ci-e2e-test'

    def _create_or_update_llmisvc_config(kserve_client, llm_config, namespace=None):
        """Create or update an LLMInferenceServiceConfig resource."""
        version = llm_config["apiVersion"].split("/")[1]
    
        if namespace is None:
            namespace = llm_config.get("metadata", {}).get("namespace", "default")
    
        name = llm_config.get("metadata", {}).get("name")
        if not name:
            raise ValueError("LLMInferenceServiceConfig must have a name in metadata")
    
        logger.info(f"Checking LLMInferenceServiceConfig {name} in namespace {namespace}")
    
        try:
            existing_config = kserve_client.api_instance.get_namespaced_custom_object(
                constants.KSERVE_GROUP,
                version,
                namespace,
                KSERVE_PLURAL_LLMINFERENCESERVICECONFIG,
                name,
            )
    
            llm_config["metadata"] = existing_config["metadata"]
    
            outputs = kserve_client.api_instance.replace_namespaced_custom_object(
                constants.KSERVE_GROUP,
                version,
                namespace,
                KSERVE_PLURAL_LLMINFERENCESERVICECONFIG,
                name,
                llm_config,
            )
            logger.info(f"✓ Successfully updated LLMInferenceServiceConfig {name}")
            return outputs
    
        except client.rest.ApiException as e:
            if e.status == 404:  # Not found - create it
                logger.info(
                    f"Resource not found, creating LLMInferenceServiceConfig {name}"
                )
&gt;               outputs = kserve_client.api_instance.create_namespaced_custom_object(
                    constants.KSERVE_GROUP,
                    version,
                    namespace,
                    KSERVE_PLURAL_LLMINFERENCESERVICECONFIG,
                    llm_config,
                )

llmisvc/fixtures.py:1615: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api.custom_objects_api.CustomObjectsApi object at 0x7efcce7c7890&gt;
group = 'serving.kserve.io', version = 'v1alpha1'
namespace = 'kserve-ci-e2e-test', plural = 'llminferenceserviceconfigs'
body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...nline-23288697', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}}
kwargs = {'_return_http_data_only': True}

    def create_namespaced_custom_object(self, group, version, namespace, plural, body, **kwargs):  # noqa: E501
        """create_namespaced_custom_object  # noqa: E501
    
        Creates a namespace scoped Custom object  # noqa: E501
        This method makes a synchronous HTTP request by default. To make an
        asynchronous HTTP request, please pass async_req=True
        &gt;&gt;&gt; thread = api.create_namespaced_custom_object(group, version, namespace, plural, body, async_req=True)
        &gt;&gt;&gt; result = thread.get()
    
        :param async_req bool: execute request asynchronously
        :param str group: The custom resource's group name (required)
        :param str version: The custom resource's version (required)
        :param str namespace: The custom resource's namespace (required)
        :param str plural: The custom resource's plural name. For TPRs this would be lowercase plural kind. (required)
        :param object body: The JSON schema of the Resource to create. (required)
        :param str pretty: If 'true', then the output is pretty printed.
        :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed
        :param str field_manager: fieldManager is a name associated with the actor or entity that is making these changes. The value must be less than or 128 characters long, and only contain printable characters, as defined by https://golang.org/pkg/unicode/#IsPrint.
        :param str field_validation: fieldValidation instructs the server on how to handle objects in the request (POST/PUT/PATCH) containing unknown or duplicate fields. Valid values are: - Ignore: This will ignore any unknown fields that are silently dropped from the object, and will ignore all but the last duplicate field that the decoder encounters. This is the default behavior prior to v1.23. - Warn: This will send a warning via the standard warning response header for each unknown field that is dropped from the object, and for each duplicate field that is encountered. The request will still succeed if there are no other errors, and will only persist the last of any duplicate fields. This is the default in v1.23+ - Strict: This will fail the request with a BadRequest error if any unknown fields would be dropped from the object, or if any duplicate fields are present. The error returned from the server will contain all unknown and duplicate fields encountered. (optional)
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        :return: object
                 If the method is called asynchronously,
                 returns the request thread.
        """
        kwargs['_return_http_data_only'] = True
&gt;       return self.create_namespaced_custom_object_with_http_info(group, version, namespace, plural, body, **kwargs)  # noqa: E501

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/custom_objects_api.py:231: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api.custom_objects_api.CustomObjectsApi object at 0x7efcce7c7890&gt;
group = 'serving.kserve.io', version = 'v1alpha1'
namespace = 'kserve-ci-e2e-test', plural = 'llminferenceserviceconfigs'
body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...nline-23288697', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}}
kwargs = {'_return_http_data_only': True}
local_var_params = {'_return_http_data_only': True, 'all_params': ['group', 'version', 'namespace', 'plural', 'body', 'pretty', ...], 'au...23288697', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}}, ...}
all_params = ['group', 'version', 'namespace', 'plural', 'body', 'pretty', ...]
key = '_return_http_data_only', val = True, collection_formats = {}
path_params = {'group': 'serving.kserve.io', 'namespace': 'kserve-ci-e2e-test', 'plural': 'llminferenceserviceconfigs', 'version': 'v1alpha1'}
query_params = []

    def create_namespaced_custom_object_with_http_info(self, group, version, namespace, plural, body, **kwargs):  # noqa: E501
        """create_namespaced_custom_object  # noqa: E501
    
        Creates a namespace scoped Custom object  # noqa: E501
        This method makes a synchronous HTTP request by default. To make an
        asynchronous HTTP request, please pass async_req=True
        &gt;&gt;&gt; thread = api.create_namespaced_custom_object_with_http_info(group, version, namespace, plural, body, async_req=True)
        &gt;&gt;&gt; result = thread.get()
    
        :param async_req bool: execute request asynchronously
        :param str group: The custom resource's group name (required)
        :param str version: The custom resource's version (required)
        :param str namespace: The custom resource's namespace (required)
        :param str plural: The custom resource's plural name. For TPRs this would be lowercase plural kind. (required)
        :param object body: The JSON schema of the Resource to create. (required)
        :param str pretty: If 'true', then the output is pretty printed.
        :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed
        :param str field_manager: fieldManager is a name associated with the actor or entity that is making these changes. The value must be less than or 128 characters long, and only contain printable characters, as defined by https://golang.org/pkg/unicode/#IsPrint.
        :param str field_validation: fieldValidation instructs the server on how to handle objects in the request (POST/PUT/PATCH) containing unknown or duplicate fields. Valid values are: - Ignore: This will ignore any unknown fields that are silently dropped from the object, and will ignore all but the last duplicate field that the decoder encounters. This is the default behavior prior to v1.23. - Warn: This will send a warning via the standard warning response header for each unknown field that is dropped from the object, and for each duplicate field that is encountered. The request will still succeed if there are no other errors, and will only persist the last of any duplicate fields. This is the default in v1.23+ - Strict: This will fail the request with a BadRequest error if any unknown fields would be dropped from the object, or if any duplicate fields are present. The error returned from the server will contain all unknown and duplicate fields encountered. (optional)
        :param _return_http_data_only: response data without head status code
                                       and headers
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        :return: tuple(object, status_code(int), headers(HTTPHeaderDict))
                 If the method is called asynchronously,
                 returns the request thread.
        """
    
        local_var_params = locals()
    
        all_params = [
            'group',
            'version',
            'namespace',
            'plural',
            'body',
            'pretty',
            'dry_run',
            'field_manager',
            'field_validation'
        ]
        all_params.extend(
            [
                'async_req',
                '_return_http_data_only',
                '_preload_content',
                '_request_timeout'
            ]
        )
    
        for key, val in six.iteritems(local_var_params['kwargs']):
            if key not in all_params:
                raise ApiTypeError(
                    "Got an unexpected keyword argument '%s'"
                    " to method create_namespaced_custom_object" % key
                )
            local_var_params[key] = val
        del local_var_params['kwargs']
        # verify the required parameter 'group' is set
        if self.api_client.client_side_validation and ('group' not in local_var_params or  # noqa: E501
                                                        local_var_params['group'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `group` when calling `create_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'version' is set
        if self.api_client.client_side_validation and ('version' not in local_var_params or  # noqa: E501
                                                        local_var_params['version'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `version` when calling `create_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'namespace' is set
        if self.api_client.client_side_validation and ('namespace' not in local_var_params or  # noqa: E501
                                                        local_var_params['namespace'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `namespace` when calling `create_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'plural' is set
        if self.api_client.client_side_validation and ('plural' not in local_var_params or  # noqa: E501
                                                        local_var_params['plural'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `plural` when calling `create_namespaced_custom_object`")  # noqa: E501
        # verify the required parameter 'body' is set
        if self.api_client.client_side_validation and ('body' not in local_var_params or  # noqa: E501
                                                        local_var_params['body'] is None):  # noqa: E501
            raise ApiValueError("Missing the required parameter `body` when calling `create_namespaced_custom_object`")  # noqa: E501
    
        collection_formats = {}
    
        path_params = {}
        if 'group' in local_var_params:
            path_params['group'] = local_var_params['group']  # noqa: E501
        if 'version' in local_var_params:
            path_params['version'] = local_var_params['version']  # noqa: E501
        if 'namespace' in local_var_params:
            path_params['namespace'] = local_var_params['namespace']  # noqa: E501
        if 'plural' in local_var_params:
            path_params['plural'] = local_var_params['plural']  # noqa: E501
    
        query_params = []
        if 'pretty' in local_var_params and local_var_params['pretty'] is not None:  # noqa: E501
            query_params.append(('pretty', local_var_params['pretty']))  # noqa: E501
        if 'dry_run' in local_var_params and local_var_params['dry_run'] is not None:  # noqa: E501
            query_params.append(('dryRun', local_var_params['dry_run']))  # noqa: E501
        if 'field_manager' in local_var_params and local_var_params['field_manager'] is not None:  # noqa: E501
            query_params.append(('fieldManager', local_var_params['field_manager']))  # noqa: E501
        if 'field_validation' in local_var_params and local_var_params['field_validation'] is not None:  # noqa: E501
            query_params.append(('fieldValidation', local_var_params['field_validation']))  # noqa: E501
    
        header_params = {}
    
        form_params = []
        local_var_files = {}
    
        body_params = None
        if 'body' in local_var_params:
            body_params = local_var_params['body']
        # HTTP header `Accept`
        header_params['Accept'] = self.api_client.select_header_accept(
            ['application/json'])  # noqa: E501
    
        # Authentication setting
        auth_settings = ['BearerToken']  # noqa: E501
    
&gt;       return self.api_client.call_api(
            '/apis/{group}/{version}/namespaces/{namespace}/{plural}', 'POST',
            path_params,
            query_params,
            header_params,
            body=body_params,
            post_params=form_params,
            files=local_var_files,
            response_type='object',  # noqa: E501
            auth_settings=auth_settings,
            async_req=local_var_params.get('async_req'),
            _return_http_data_only=local_var_params.get('_return_http_data_only'),  # noqa: E501
            _preload_content=local_var_params.get('_preload_content', True),
            _request_timeout=local_var_params.get('_request_timeout'),
            collection_formats=collection_formats)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/custom_objects_api.py:354: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api_client.ApiClient object at 0x7efcce7c6890&gt;
resource_path = '/apis/{group}/{version}/namespaces/{namespace}/{plural}'
method = 'POST'
path_params = {'group': 'serving.kserve.io', 'namespace': 'kserve-ci-e2e-test', 'plural': 'llminferenceserviceconfigs', 'version': 'v1alpha1'}
query_params = []
header_params = {'Accept': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...nline-23288697', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}}
post_params = [], files = {}, response_type = 'object'
auth_settings = ['BearerToken'], async_req = None, _return_http_data_only = True
collection_formats = {}, _preload_content = True, _request_timeout = None
_host = None

    def call_api(self, resource_path, method,
                 path_params=None, query_params=None, header_params=None,
                 body=None, post_params=None, files=None,
                 response_type=None, auth_settings=None, async_req=None,
                 _return_http_data_only=None, collection_formats=None,
                 _preload_content=True, _request_timeout=None, _host=None):
        """Makes the HTTP request (synchronous) and returns deserialized data.
    
        To make an async_req request, set the async_req parameter.
    
        :param resource_path: Path to method endpoint.
        :param method: Method to call.
        :param path_params: Path parameters in the url.
        :param query_params: Query parameters in the url.
        :param header_params: Header parameters to be
            placed in the request header.
        :param body: Request body.
        :param post_params dict: Request post form parameters,
            for `application/x-www-form-urlencoded`, `multipart/form-data`.
        :param auth_settings list: Auth Settings names for the request.
        :param response: Response data type.
        :param files dict: key -&gt; filename, value -&gt; filepath,
            for `multipart/form-data`.
        :param async_req bool: execute request asynchronously
        :param _return_http_data_only: response data without head status code
                                       and headers
        :param collection_formats: dict of collection formats for path, query,
            header, and post parameters.
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        :return:
            If async_req parameter is True,
            the request will be called asynchronously.
            The method will return the request thread.
            If parameter async_req is False or missing,
            then the method will return the response directly.
        """
        if not async_req:
&gt;           return self.__call_api(resource_path, method,
                                   path_params, query_params, header_params,
                                   body, post_params, files,
                                   response_type, auth_settings,
                                   _return_http_data_only, collection_formats,
                                   _preload_content, _request_timeout, _host)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:348: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api_client.ApiClient object at 0x7efcce7c6890&gt;
resource_path = '/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs'
method = 'POST'
path_params = [('group', 'serving.kserve.io'), ('version', 'v1alpha1'), ('namespace', 'kserve-ci-e2e-test'), ('plural', 'llminferenceserviceconfigs')]
query_params = []
header_params = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...nline-23288697', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}}
post_params = [], files = {}, response_type = 'object'
auth_settings = ['BearerToken'], _return_http_data_only = True
collection_formats = {}, _preload_content = True, _request_timeout = None
_host = None

    def __call_api(
            self, resource_path, method, path_params=None,
            query_params=None, header_params=None, body=None, post_params=None,
            files=None, response_type=None, auth_settings=None,
            _return_http_data_only=None, collection_formats=None,
            _preload_content=True, _request_timeout=None, _host=None):
    
        config = self.configuration
    
        # header parameters
        header_params = header_params or {}
        header_params.update(self.default_headers)
        if self.cookie:
            header_params['Cookie'] = self.cookie
        if header_params:
            header_params = self.sanitize_for_serialization(header_params)
            header_params = dict(self.parameters_to_tuples(header_params,
                                                           collection_formats))
    
        # path parameters
        if path_params:
            path_params = self.sanitize_for_serialization(path_params)
            path_params = self.parameters_to_tuples(path_params,
                                                    collection_formats)
            for k, v in path_params:
                # specified safe chars, encode everything
                resource_path = resource_path.replace(
                    '{%s}' % k,
                    quote(str(v), safe=config.safe_chars_for_path_param)
                )
    
        # query parameters
        if query_params:
            query_params = self.sanitize_for_serialization(query_params)
            query_params = self.parameters_to_tuples(query_params,
                                                     collection_formats)
    
        # post parameters
        if post_params or files:
            post_params = post_params if post_params else []
            post_params = self.sanitize_for_serialization(post_params)
            post_params = self.parameters_to_tuples(post_params,
                                                    collection_formats)
            post_params.extend(self.files_parameters(files))
    
        # auth setting
        self.update_params_for_auth(header_params, query_params, auth_settings)
    
        # body
        if body:
            body = self.sanitize_for_serialization(body)
    
        # request url
        if _host is None:
            url = self.configuration.host + resource_path
        else:
            # use server/host defined in path or operation instead
            url = _host + resource_path
    
        # perform request and return response
&gt;       response_data = self.request(
            method, url, query_params=query_params, headers=header_params,
            post_params=post_params, body=body,
            _preload_content=_preload_content,
            _request_timeout=_request_timeout)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:180: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.api_client.ApiClient object at 0x7efcce7c6890&gt;
method = 'POST'
url = 'https://a4b1bbcc0651547b89874fa30976e364-970c7c6812ac1917.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs'
query_params = []
headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
post_params = []
body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...nline-23288697', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}}
_preload_content = True, _request_timeout = None

    def request(self, method, url, query_params=None, headers=None,
                post_params=None, body=None, _preload_content=True,
                _request_timeout=None):
        """Makes the HTTP request using RESTClient."""
        if method == "GET":
            return self.rest_client.GET(url,
                                        query_params=query_params,
                                        _preload_content=_preload_content,
                                        _request_timeout=_request_timeout,
                                        headers=headers)
        elif method == "HEAD":
            return self.rest_client.HEAD(url,
                                         query_params=query_params,
                                         _preload_content=_preload_content,
                                         _request_timeout=_request_timeout,
                                         headers=headers)
        elif method == "OPTIONS":
            return self.rest_client.OPTIONS(url,
                                            query_params=query_params,
                                            headers=headers,
                                            _preload_content=_preload_content,
                                            _request_timeout=_request_timeout)
        elif method == "POST":
&gt;           return self.rest_client.POST(url,
                                         query_params=query_params,
                                         headers=headers,
                                         post_params=post_params,
                                         _preload_content=_preload_content,
                                         _request_timeout=_request_timeout,

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:391: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.rest.RESTClientObject object at 0x7efcce7c7a10&gt;
url = 'https://a4b1bbcc0651547b89874fa30976e364-970c7c6812ac1917.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs'
headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
query_params = [], post_params = []
body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...nline-23288697', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}}
_preload_content = True, _request_timeout = None

    def POST(self, url, headers=None, query_params=None, post_params=None,
             body=None, _preload_content=True, _request_timeout=None):
&gt;       return self.request("POST", url,
                            headers=headers,
                            query_params=query_params,
                            post_params=post_params,
                            _preload_content=_preload_content,
                            _request_timeout=_request_timeout,
                            body=body)

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:279: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = &lt;kubernetes.client.rest.RESTClientObject object at 0x7efcce7c7a10&gt;
method = 'POST'
url = 'https://a4b1bbcc0651547b89874fa30976e364-970c7c6812ac1917.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs'
query_params = []
headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}
body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...nline-23288697', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}}
post_params = {}, _preload_content = True, _request_timeout = None

    def request(self, method, url, query_params=None, headers=None,
                body=None, post_params=None, _preload_content=True,
                _request_timeout=None):
        """Perform requests.
    
        :param method: http request method
        :param url: http request url
        :param query_params: query parameters in the url
        :param headers: http request headers
        :param body: request json body, for `application/json`
        :param post_params: request post parameters,
                            `application/x-www-form-urlencoded`
                            and `multipart/form-data`
        :param _preload_content: if False, the urllib3.HTTPResponse object will
                                 be returned without reading/decoding response
                                 data. Default is True.
        :param _request_timeout: timeout setting for this request. If one
                                 number provided, it will be total request
                                 timeout. It can also be a pair (tuple) of
                                 (connection, read) timeouts.
        """
        method = method.upper()
        assert method in ['GET', 'HEAD', 'DELETE', 'POST', 'PUT',
                          'PATCH', 'OPTIONS']
    
        if post_params and body:
            raise ApiValueError(
                "body parameter cannot be used with post_params parameter."
            )
    
        post_params = post_params or {}
        headers = headers or {}
    
        timeout = None
        if _request_timeout:
            if isinstance(_request_timeout, (int, ) if six.PY3 else (int, long)):  # noqa: E501,F821
                timeout = urllib3.Timeout(total=_request_timeout)
            elif (isinstance(_request_timeout, tuple) and
                  len(_request_timeout) == 2):
                timeout = urllib3.Timeout(
                    connect=_request_timeout[0], read=_request_timeout[1])
    
        if 'Content-Type' not in headers:
            headers['Content-Type'] = 'application/json'
    
        try:
            # For `POST`, `PUT`, `PATCH`, `OPTIONS`, `DELETE`
            if method in ['POST', 'PUT', 'PATCH', 'OPTIONS', 'DELETE']:
                if query_params:
                    url += '?' + urlencode(query_params)
                if (re.search('json', headers['Content-Type'], re.IGNORECASE) or
                        headers['Content-Type'] == 'application/apply-patch+yaml'):
                    if headers['Content-Type'] == 'application/json-patch+json':
                        if not isinstance(body, list):
                            headers['Content-Type'] = \
                                'application/strategic-merge-patch+json'
                    request_body = None
                    if body is not None:
                        request_body = json.dumps(body)
                    r = self.pool_manager.request(
                        method, url,
                        body=request_body,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                elif headers['Content-Type'] == 'application/x-www-form-urlencoded':  # noqa: E501
                    r = self.pool_manager.request(
                        method, url,
                        fields=post_params,
                        encode_multipart=False,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                elif headers['Content-Type'] == 'multipart/form-data':
                    # must del headers['Content-Type'], or the correct
                    # Content-Type which generated by urllib3 will be
                    # overwritten.
                    del headers['Content-Type']
                    r = self.pool_manager.request(
                        method, url,
                        fields=post_params,
                        encode_multipart=True,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                # Pass a `string` parameter directly in the body to support
                # other content types than Json when `body` argument is
                # provided in serialized form
                elif isinstance(body, str) or isinstance(body, bytes):
                    request_body = body
                    r = self.pool_manager.request(
                        method, url,
                        body=request_body,
                        preload_content=_preload_content,
                        timeout=timeout,
                        headers=headers)
                else:
                    # Cannot generate the request from given parameters
                    msg = """Cannot prepare a request message for provided
                             arguments. Please check that your arguments match
                             declared content type."""
                    raise ApiException(status=0, reason=msg)
            # For `GET`, `HEAD`
            else:
                r = self.pool_manager.request(method, url,
                                              fields=query_params,
                                              preload_content=_preload_content,
                                              timeout=timeout,
                                              headers=headers)
        except urllib3.exceptions.SSLError as e:
            msg = "{0}\n{1}".format(type(e).__name__, str(e))
            raise ApiException(status=0, reason=msg)
    
        if _preload_content:
            r = RESTResponse(r)
    
            # In the python 3, the response.data is bytes.
            # we need to decode it to string.
            if six.PY3:
                r.data = r.data.decode('utf8')
    
            # log response body
            logger.debug("response body: %s", r.data)
    
        if not 200 &lt;= r.status &lt;= 299:
&gt;           raise ApiException(http_resp=r)
E           kubernetes.client.exceptions.ApiException: (500)
E           Reason: Internal Server Error
E           HTTP response headers: HTTPHeaderDict({'Audit-Id': 'fcc32870-fe36-4ac0-95a3-05110ead9509', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'X-Kubernetes-Pf-Flowschema-Uid': '62c25c04-1b74-440c-829d-ad16fc1cf200', 'X-Kubernetes-Pf-Prioritylevel-Uid': 'cb35c139-d9c3-4bc0-991f-97459c16ce66', 'Date': 'Wed, 01 Jul 2026 20:28:06 GMT', 'Content-Length': '701'})
E           HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"Internal error occurred: failed calling webhook \"llminferenceserviceconfig.kserve-webhook-server.v1alpha1.validator\": failed to call webhook: Post \"https://llmisvc-webhook-server-service.kserve.svc:443/validate-serving-kserve-io-v1alpha1-llminferenceserviceconfig?timeout=10s\": EOF","reason":"InternalError","details":{"causes":[{"message":"failed calling webhook \"llminferenceserviceconfig.kserve-webhook-server.v1alpha1.validator\": failed to call webhook: Post \"https://llmisvc-webhook-server-service.kserve.svc:443/validate-serving-kserve-io-v1alpha1-llminferenceserviceconfig?timeout=10s\": EOF"}]},"code":500}

../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:238: ApiException</error></testcase></testsuite></testsuites>