Release v0.2.11

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "superagent-py"
-version = "v0.2.9"
+version = "v0.2.11"
 description = ""
 readme = "README.md"
 authors = []

src/superagent/core/client_wrapper.py

@@ -14,7 +14,7 @@ def get_headers(self) -> typing.Dict[str, str]:
         headers: typing.Dict[str, str] = {
             "X-Fern-Language": "Python",
             "X-Fern-SDK-Name": "superagent-py",
-            "X-Fern-SDK-Version": "v0.2.9",
+            "X-Fern-SDK-Version": "v0.2.11",
         }
         token = self._get_token()
         if token is not None:

src/superagent/resources/workflow_config/client.py

@@ -19,6 +19,21 @@ class WorkflowConfigClient:
     def __init__(self, *, client_wrapper: SyncClientWrapper):
         self._client_wrapper = client_wrapper
 
+    def get_schema(self) -> typing.Any:
+        _response = self._client_wrapper.httpx_client.request(
+            "GET",
+            urllib.parse.urljoin(f"{self._client_wrapper.get_base_url()}/", "api/v1/workflows/config/schema"),
+            headers=self._client_wrapper.get_headers(),
+            timeout=60,
+        )
+        if 200 <= _response.status_code < 300:
+            return pydantic.parse_obj_as(typing.Any, _response.json())  # type: ignore
+        try:
+            _response_json = _response.json()
+        except JSONDecodeError:
+            raise ApiError(status_code=_response.status_code, body=_response.text)
+        raise ApiError(status_code=_response.status_code, body=_response_json)
+
     def add_config(self, workflow_id: str) -> typing.Any:
         """
         Parameters:
@@ -45,6 +60,21 @@ class AsyncWorkflowConfigClient:
     def __init__(self, *, client_wrapper: AsyncClientWrapper):
         self._client_wrapper = client_wrapper
 
+    async def get_schema(self) -> typing.Any:
+        _response = await self._client_wrapper.httpx_client.request(
+            "GET",
+            urllib.parse.urljoin(f"{self._client_wrapper.get_base_url()}/", "api/v1/workflows/config/schema"),
+            headers=self._client_wrapper.get_headers(),
+            timeout=60,
+        )
+        if 200 <= _response.status_code < 300:
+            return pydantic.parse_obj_as(typing.Any, _response.json())  # type: ignore
+        try:
+            _response_json = _response.json()
+        except JSONDecodeError:
+            raise ApiError(status_code=_response.status_code, body=_response.text)
+        raise ApiError(status_code=_response.status_code, body=_response_json)
+
     async def add_config(self, workflow_id: str) -> typing.Any:
         """
         Parameters: