diff --git a/elasticsearch/_async/client/inference.py b/elasticsearch/_async/client/inference.py
index 2c9cfdda5..2b580ae84 100644
--- a/elasticsearch/_async/client/inference.py
+++ b/elasticsearch/_async/client/inference.py
@@ -351,67 +351,6 @@ async def inference(
             path_parts=__path_parts,
         )
 
-    @_rewrite_parameters(
-        body_name="chat_completion_request",
-    )
-    async def post_eis_chat_completion(
-        self,
-        *,
-        eis_inference_id: str,
-        chat_completion_request: t.Optional[t.Mapping[str, t.Any]] = None,
-        body: t.Optional[t.Mapping[str, t.Any]] = None,
-        error_trace: t.Optional[bool] = None,
-        filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None,
-        human: t.Optional[bool] = None,
-        pretty: t.Optional[bool] = None,
-    ) -> ObjectApiResponse[t.Any]:
-        """
-        .. raw:: html
-
-          <p>Perform a chat completion task through the Elastic Inference Service (EIS).</p>
-          <p>Perform a chat completion inference task with the <code>elastic</code> service.</p>
-
-
-        `<https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-inference-post-eis-chat-completion>`_
-
-        :param eis_inference_id: The unique identifier of the inference endpoint.
-        :param chat_completion_request:
-        """
-        if eis_inference_id in SKIP_IN_PATH:
-            raise ValueError("Empty value passed for parameter 'eis_inference_id'")
-        if chat_completion_request is None and body is None:
-            raise ValueError(
-                "Empty value passed for parameters 'chat_completion_request' and 'body', one of them should be set."
-            )
-        elif chat_completion_request is not None and body is not None:
-            raise ValueError("Cannot set both 'chat_completion_request' and 'body'")
-        __path_parts: t.Dict[str, str] = {"eis_inference_id": _quote(eis_inference_id)}
-        __path = (
-            f'/_inference/chat_completion/{__path_parts["eis_inference_id"]}/_stream'
-        )
-        __query: t.Dict[str, t.Any] = {}
-        if error_trace is not None:
-            __query["error_trace"] = error_trace
-        if filter_path is not None:
-            __query["filter_path"] = filter_path
-        if human is not None:
-            __query["human"] = human
-        if pretty is not None:
-            __query["pretty"] = pretty
-        __body = (
-            chat_completion_request if chat_completion_request is not None else body
-        )
-        __headers = {"accept": "application/json", "content-type": "application/json"}
-        return await self.perform_request(  # type: ignore[return-value]
-            "POST",
-            __path,
-            params=__query,
-            headers=__headers,
-            body=__body,
-            endpoint_id="inference.post_eis_chat_completion",
-            path_parts=__path_parts,
-        )
-
     @_rewrite_parameters(
         body_name="inference_config",
     )
@@ -1088,83 +1027,6 @@ async def put_cohere(
             path_parts=__path_parts,
         )
 
-    @_rewrite_parameters(
-        body_fields=("service", "service_settings"),
-    )
-    async def put_eis(
-        self,
-        *,
-        task_type: t.Union[str, t.Literal["chat_completion"]],
-        eis_inference_id: str,
-        service: t.Optional[t.Union[str, t.Literal["elastic"]]] = None,
-        service_settings: t.Optional[t.Mapping[str, t.Any]] = None,
-        error_trace: t.Optional[bool] = None,
-        filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None,
-        human: t.Optional[bool] = None,
-        pretty: t.Optional[bool] = None,
-        body: t.Optional[t.Dict[str, t.Any]] = None,
-    ) -> ObjectApiResponse[t.Any]:
-        """
-        .. raw:: html
-
-          <p>Create an Elastic Inference Service (EIS) inference endpoint.</p>
-          <p>Create an inference endpoint to perform an inference task through the Elastic Inference Service (EIS).</p>
-
-
-        `<https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-inference-put-eis>`_
-
-        :param task_type: The type of the inference task that the model will perform.
-            NOTE: The `chat_completion` task type only supports streaming and only through
-            the _stream API.
-        :param eis_inference_id: The unique identifier of the inference endpoint.
-        :param service: The type of service supported for the specified task type. In
-            this case, `elastic`.
-        :param service_settings: Settings used to install the inference model. These
-            settings are specific to the `elastic` service.
-        """
-        if task_type in SKIP_IN_PATH:
-            raise ValueError("Empty value passed for parameter 'task_type'")
-        if eis_inference_id in SKIP_IN_PATH:
-            raise ValueError("Empty value passed for parameter 'eis_inference_id'")
-        if service is None and body is None:
-            raise ValueError("Empty value passed for parameter 'service'")
-        if service_settings is None and body is None:
-            raise ValueError("Empty value passed for parameter 'service_settings'")
-        __path_parts: t.Dict[str, str] = {
-            "task_type": _quote(task_type),
-            "eis_inference_id": _quote(eis_inference_id),
-        }
-        __path = f'/_inference/{__path_parts["task_type"]}/{__path_parts["eis_inference_id"]}'
-        __query: t.Dict[str, t.Any] = {}
-        __body: t.Dict[str, t.Any] = body if body is not None else {}
-        if error_trace is not None:
-            __query["error_trace"] = error_trace
-        if filter_path is not None:
-            __query["filter_path"] = filter_path
-        if human is not None:
-            __query["human"] = human
-        if pretty is not None:
-            __query["pretty"] = pretty
-        if not __body:
-            if service is not None:
-                __body["service"] = service
-            if service_settings is not None:
-                __body["service_settings"] = service_settings
-        if not __body:
-            __body = None  # type: ignore[assignment]
-        __headers = {"accept": "application/json"}
-        if __body is not None:
-            __headers["content-type"] = "application/json"
-        return await self.perform_request(  # type: ignore[return-value]
-            "PUT",
-            __path,
-            params=__query,
-            headers=__headers,
-            body=__body,
-            endpoint_id="inference.put_eis",
-            path_parts=__path_parts,
-        )
-
     @_rewrite_parameters(
         body_fields=(
             "service",
diff --git a/elasticsearch/_sync/client/inference.py b/elasticsearch/_sync/client/inference.py
index 49a639a48..50a528250 100644
--- a/elasticsearch/_sync/client/inference.py
+++ b/elasticsearch/_sync/client/inference.py
@@ -351,67 +351,6 @@ def inference(
             path_parts=__path_parts,
         )
 
-    @_rewrite_parameters(
-        body_name="chat_completion_request",
-    )
-    def post_eis_chat_completion(
-        self,
-        *,
-        eis_inference_id: str,
-        chat_completion_request: t.Optional[t.Mapping[str, t.Any]] = None,
-        body: t.Optional[t.Mapping[str, t.Any]] = None,
-        error_trace: t.Optional[bool] = None,
-        filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None,
-        human: t.Optional[bool] = None,
-        pretty: t.Optional[bool] = None,
-    ) -> ObjectApiResponse[t.Any]:
-        """
-        .. raw:: html
-
-          <p>Perform a chat completion task through the Elastic Inference Service (EIS).</p>
-          <p>Perform a chat completion inference task with the <code>elastic</code> service.</p>
-
-
-        `<https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-inference-post-eis-chat-completion>`_
-
-        :param eis_inference_id: The unique identifier of the inference endpoint.
-        :param chat_completion_request:
-        """
-        if eis_inference_id in SKIP_IN_PATH:
-            raise ValueError("Empty value passed for parameter 'eis_inference_id'")
-        if chat_completion_request is None and body is None:
-            raise ValueError(
-                "Empty value passed for parameters 'chat_completion_request' and 'body', one of them should be set."
-            )
-        elif chat_completion_request is not None and body is not None:
-            raise ValueError("Cannot set both 'chat_completion_request' and 'body'")
-        __path_parts: t.Dict[str, str] = {"eis_inference_id": _quote(eis_inference_id)}
-        __path = (
-            f'/_inference/chat_completion/{__path_parts["eis_inference_id"]}/_stream'
-        )
-        __query: t.Dict[str, t.Any] = {}
-        if error_trace is not None:
-            __query["error_trace"] = error_trace
-        if filter_path is not None:
-            __query["filter_path"] = filter_path
-        if human is not None:
-            __query["human"] = human
-        if pretty is not None:
-            __query["pretty"] = pretty
-        __body = (
-            chat_completion_request if chat_completion_request is not None else body
-        )
-        __headers = {"accept": "application/json", "content-type": "application/json"}
-        return self.perform_request(  # type: ignore[return-value]
-            "POST",
-            __path,
-            params=__query,
-            headers=__headers,
-            body=__body,
-            endpoint_id="inference.post_eis_chat_completion",
-            path_parts=__path_parts,
-        )
-
     @_rewrite_parameters(
         body_name="inference_config",
     )
@@ -1088,83 +1027,6 @@ def put_cohere(
             path_parts=__path_parts,
         )
 
-    @_rewrite_parameters(
-        body_fields=("service", "service_settings"),
-    )
-    def put_eis(
-        self,
-        *,
-        task_type: t.Union[str, t.Literal["chat_completion"]],
-        eis_inference_id: str,
-        service: t.Optional[t.Union[str, t.Literal["elastic"]]] = None,
-        service_settings: t.Optional[t.Mapping[str, t.Any]] = None,
-        error_trace: t.Optional[bool] = None,
-        filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None,
-        human: t.Optional[bool] = None,
-        pretty: t.Optional[bool] = None,
-        body: t.Optional[t.Dict[str, t.Any]] = None,
-    ) -> ObjectApiResponse[t.Any]:
-        """
-        .. raw:: html
-
-          <p>Create an Elastic Inference Service (EIS) inference endpoint.</p>
-          <p>Create an inference endpoint to perform an inference task through the Elastic Inference Service (EIS).</p>
-
-
-        `<https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-inference-put-eis>`_
-
-        :param task_type: The type of the inference task that the model will perform.
-            NOTE: The `chat_completion` task type only supports streaming and only through
-            the _stream API.
-        :param eis_inference_id: The unique identifier of the inference endpoint.
-        :param service: The type of service supported for the specified task type. In
-            this case, `elastic`.
-        :param service_settings: Settings used to install the inference model. These
-            settings are specific to the `elastic` service.
-        """
-        if task_type in SKIP_IN_PATH:
-            raise ValueError("Empty value passed for parameter 'task_type'")
-        if eis_inference_id in SKIP_IN_PATH:
-            raise ValueError("Empty value passed for parameter 'eis_inference_id'")
-        if service is None and body is None:
-            raise ValueError("Empty value passed for parameter 'service'")
-        if service_settings is None and body is None:
-            raise ValueError("Empty value passed for parameter 'service_settings'")
-        __path_parts: t.Dict[str, str] = {
-            "task_type": _quote(task_type),
-            "eis_inference_id": _quote(eis_inference_id),
-        }
-        __path = f'/_inference/{__path_parts["task_type"]}/{__path_parts["eis_inference_id"]}'
-        __query: t.Dict[str, t.Any] = {}
-        __body: t.Dict[str, t.Any] = body if body is not None else {}
-        if error_trace is not None:
-            __query["error_trace"] = error_trace
-        if filter_path is not None:
-            __query["filter_path"] = filter_path
-        if human is not None:
-            __query["human"] = human
-        if pretty is not None:
-            __query["pretty"] = pretty
-        if not __body:
-            if service is not None:
-                __body["service"] = service
-            if service_settings is not None:
-                __body["service_settings"] = service_settings
-        if not __body:
-            __body = None  # type: ignore[assignment]
-        __headers = {"accept": "application/json"}
-        if __body is not None:
-            __headers["content-type"] = "application/json"
-        return self.perform_request(  # type: ignore[return-value]
-            "PUT",
-            __path,
-            params=__query,
-            headers=__headers,
-            body=__body,
-            endpoint_id="inference.put_eis",
-            path_parts=__path_parts,
-        )
-
     @_rewrite_parameters(
         body_fields=(
             "service",