feat(api): update via SDK Studio

.stats.yml

@@ -1 +1 @@
-configured_endpoints: 6
+configured_endpoints: 8

api.md

@@ -3,11 +3,12 @@
 Types:
 
 ```python
-from openlayer.types import ProjectListResponse
+from openlayer.types import ProjectCreateResponse, ProjectListResponse
 ```
 
 Methods:
 
+- <code title="post /projects">client.projects.<a href="./src/openlayer/resources/projects/projects.py">create</a>(\*\*<a href="src/openlayer/types/project_create_params.py">params</a>) -> <a href="./src/openlayer/types/project_create_response.py">ProjectCreateResponse</a></code>
 - <code title="get /projects">client.projects.<a href="./src/openlayer/resources/projects/projects.py">list</a>(\*\*<a href="src/openlayer/types/project_list_params.py">params</a>) -> <a href="./src/openlayer/types/project_list_response.py">ProjectListResponse</a></code>
 
 ## Commits
@@ -27,11 +28,12 @@ Methods:
 Types:
 
 ```python
-from openlayer.types.projects import InferencePipelineListResponse
+from openlayer.types.projects import InferencePipelineCreateResponse, InferencePipelineListResponse
 ```
 
 Methods:
 
+- <code title="post /projects/{id}/inference-pipelines">client.projects.inference_pipelines.<a href="./src/openlayer/resources/projects/inference_pipelines.py">create</a>(id, \*\*<a href="src/openlayer/types/projects/inference_pipeline_create_params.py">params</a>) -> <a href="./src/openlayer/types/projects/inference_pipeline_create_response.py">InferencePipelineCreateResponse</a></code>
 - <code title="get /projects/{id}/inference-pipelines">client.projects.inference_pipelines.<a href="./src/openlayer/resources/projects/inference_pipelines.py">list</a>(id, \*\*<a href="src/openlayer/types/projects/inference_pipeline_list_params.py">params</a>) -> <a href="./src/openlayer/types/projects/inference_pipeline_list_response.py">InferencePipelineListResponse</a></code>
 
 # Commits

src/openlayer/resources/projects/inference_pipelines.py

@@ -2,6 +2,9 @@
 
 from __future__ import annotations
 
+from typing import Optional
+from typing_extensions import Literal
+
 import httpx
 
 from ..._types import NOT_GIVEN, Body, Query, Headers, NotGiven
@@ -20,8 +23,9 @@
 from ..._base_client import (
     make_request_options,
 )
-from ...types.projects import inference_pipeline_list_params
+from ...types.projects import inference_pipeline_list_params, inference_pipeline_create_params
 from ...types.projects.inference_pipeline_list_response import InferencePipelineListResponse
+from ...types.projects.inference_pipeline_create_response import InferencePipelineCreateResponse
 
 __all__ = ["InferencePipelinesResource", "AsyncInferencePipelinesResource"]
 
@@ -35,6 +39,60 @@ def with_raw_response(self) -> InferencePipelinesResourceWithRawResponse:
     def with_streaming_response(self) -> InferencePipelinesResourceWithStreamingResponse:
         return InferencePipelinesResourceWithStreamingResponse(self)
 
+    def create(
+        self,
+        id: str,
+        *,
+        description: Optional[str],
+        name: str,
+        reference_dataset_uri: Optional[str] | NotGiven = NOT_GIVEN,
+        storage_type: Literal["local", "s3", "gcs", "azure"] | NotGiven = NOT_GIVEN,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
+    ) -> InferencePipelineCreateResponse:
+        """
+        Create an inference pipeline under a project.
+
+        Args:
+          description: The inference pipeline description.
+
+          name: The inference pipeline name.
+
+          reference_dataset_uri: The reference dataset URI.
+
+          storage_type: The storage type.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not id:
+            raise ValueError(f"Expected a non-empty value for `id` but received {id!r}")
+        return self._post(
+            f"/projects/{id}/inference-pipelines",
+            body=maybe_transform(
+                {
+                    "description": description,
+                    "name": name,
+                    "reference_dataset_uri": reference_dataset_uri,
+                    "storage_type": storage_type,
+                },
+                inference_pipeline_create_params.InferencePipelineCreateParams,
+            ),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=InferencePipelineCreateResponse,
+        )
+
     def list(
         self,
         id: str,
@@ -98,6 +156,60 @@ def with_raw_response(self) -> AsyncInferencePipelinesResourceWithRawResponse:
     def with_streaming_response(self) -> AsyncInferencePipelinesResourceWithStreamingResponse:
         return AsyncInferencePipelinesResourceWithStreamingResponse(self)
 
+    async def create(
+        self,
+        id: str,
+        *,
+        description: Optional[str],
+        name: str,
+        reference_dataset_uri: Optional[str] | NotGiven = NOT_GIVEN,
+        storage_type: Literal["local", "s3", "gcs", "azure"] | NotGiven = NOT_GIVEN,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
+    ) -> InferencePipelineCreateResponse:
+        """
+        Create an inference pipeline under a project.
+
+        Args:
+          description: The inference pipeline description.
+
+          name: The inference pipeline name.
+
+          reference_dataset_uri: The reference dataset URI.
+
+          storage_type: The storage type.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not id:
+            raise ValueError(f"Expected a non-empty value for `id` but received {id!r}")
+        return await self._post(
+            f"/projects/{id}/inference-pipelines",
+            body=await async_maybe_transform(
+                {
+                    "description": description,
+                    "name": name,
+                    "reference_dataset_uri": reference_dataset_uri,
+                    "storage_type": storage_type,
+                },
+                inference_pipeline_create_params.InferencePipelineCreateParams,
+            ),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=InferencePipelineCreateResponse,
+        )
+
     async def list(
         self,
         id: str,
@@ -156,6 +268,9 @@ class InferencePipelinesResourceWithRawResponse:
     def __init__(self, inference_pipelines: InferencePipelinesResource) -> None:
         self._inference_pipelines = inference_pipelines
 
+        self.create = to_raw_response_wrapper(
+            inference_pipelines.create,
+        )
         self.list = to_raw_response_wrapper(
             inference_pipelines.list,
         )
@@ -165,6 +280,9 @@ class AsyncInferencePipelinesResourceWithRawResponse:
     def __init__(self, inference_pipelines: AsyncInferencePipelinesResource) -> None:
         self._inference_pipelines = inference_pipelines
 
+        self.create = async_to_raw_response_wrapper(
+            inference_pipelines.create,
+        )
         self.list = async_to_raw_response_wrapper(
             inference_pipelines.list,
         )
@@ -174,6 +292,9 @@ class InferencePipelinesResourceWithStreamingResponse:
     def __init__(self, inference_pipelines: InferencePipelinesResource) -> None:
         self._inference_pipelines = inference_pipelines
 
+        self.create = to_streamed_response_wrapper(
+            inference_pipelines.create,
+        )
         self.list = to_streamed_response_wrapper(
             inference_pipelines.list,
         )
@@ -183,6 +304,9 @@ class AsyncInferencePipelinesResourceWithStreamingResponse:
     def __init__(self, inference_pipelines: AsyncInferencePipelinesResource) -> None:
         self._inference_pipelines = inference_pipelines
 
+        self.create = async_to_streamed_response_wrapper(
+            inference_pipelines.create,
+        )
         self.list = async_to_streamed_response_wrapper(
             inference_pipelines.list,
         )