feat(api): api update

Author: stainless-app[bot]

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 34
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/lemma%2Flemma-3e76e00e6aca1ff47c9f6b1bcfbb5eb7cc3e927a74e35b0b84149a401c6089f9.yml
-openapi_spec_hash: d83427b2f8c9912c0b8321948e69a867
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/lemma%2Flemma-7aff8515414cb67a674d48d77f386c8f551361da6858e0850ba477c48c76e486.yml
+openapi_spec_hash: c9e7de7f84e068c05a89ffced9066974
 config_hash: 3ccc0e50f28be581a8cc4501a5758970

src/lemma/resources/playground.py

@@ -46,7 +46,7 @@ def run(
         self,
         *,
         model: str,
-        prompt_id: str,
+        prompt_content: str,
         evaluator_id: Optional[str] | Omit = omit,
         input_variables: Dict[str, object] | Omit = omit,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
@@ -62,7 +62,7 @@ def run(
         Args:
           model: The OpenAI model to use for completion
 
-          prompt_id: The ID of the prompt to run
+          prompt_content: The prompt content to run
 
           evaluator_id: Optional ID of the evaluator to use
 
@@ -81,7 +81,7 @@ def run(
             body=maybe_transform(
                 {
                     "model": model,
-                    "prompt_id": prompt_id,
+                    "prompt_content": prompt_content,
                     "evaluator_id": evaluator_id,
                     "input_variables": input_variables,
                 },
@@ -118,7 +118,7 @@ async def run(
         self,
         *,
         model: str,
-        prompt_id: str,
+        prompt_content: str,
         evaluator_id: Optional[str] | Omit = omit,
         input_variables: Dict[str, object] | Omit = omit,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
@@ -134,7 +134,7 @@ async def run(
         Args:
           model: The OpenAI model to use for completion
 
-          prompt_id: The ID of the prompt to run
+          prompt_content: The prompt content to run
 
           evaluator_id: Optional ID of the evaluator to use
 
@@ -153,7 +153,7 @@ async def run(
             body=await async_maybe_transform(
                 {
                     "model": model,
-                    "prompt_id": prompt_id,
+                    "prompt_content": prompt_content,
                     "evaluator_id": evaluator_id,
                     "input_variables": input_variables,
                 },

src/lemma/types/playground_run_params.py

@@ -12,8 +12,8 @@ class PlaygroundRunParams(TypedDict, total=False):
     model: Required[str]
     """The OpenAI model to use for completion"""
 
-    prompt_id: Required[str]
-    """The ID of the prompt to run"""
+    prompt_content: Required[str]
+    """The prompt content to run"""
 
     evaluator_id: Optional[str]
     """Optional ID of the evaluator to use"""

tests/api_resources/test_playground.py

@@ -21,7 +21,7 @@ class TestPlayground:
     def test_method_run(self, client: Lemma) -> None:
         playground = client.playground.run(
             model="model",
-            prompt_id="prompt_id",
+            prompt_content="prompt_content",
         )
         assert_matches_type(object, playground, path=["response"])
 
@@ -30,7 +30,7 @@ def test_method_run(self, client: Lemma) -> None:
     def test_method_run_with_all_params(self, client: Lemma) -> None:
         playground = client.playground.run(
             model="model",
-            prompt_id="prompt_id",
+            prompt_content="prompt_content",
             evaluator_id="evaluator_id",
             input_variables={"foo": "bar"},
         )
@@ -41,7 +41,7 @@ def test_method_run_with_all_params(self, client: Lemma) -> None:
     def test_raw_response_run(self, client: Lemma) -> None:
         response = client.playground.with_raw_response.run(
             model="model",
-            prompt_id="prompt_id",
+            prompt_content="prompt_content",
         )
 
         assert response.is_closed is True
@@ -54,7 +54,7 @@ def test_raw_response_run(self, client: Lemma) -> None:
     def test_streaming_response_run(self, client: Lemma) -> None:
         with client.playground.with_streaming_response.run(
             model="model",
-            prompt_id="prompt_id",
+            prompt_content="prompt_content",
         ) as response:
             assert not response.is_closed
             assert response.http_request.headers.get("X-Stainless-Lang") == "python"
@@ -75,7 +75,7 @@ class TestAsyncPlayground:
     async def test_method_run(self, async_client: AsyncLemma) -> None:
         playground = await async_client.playground.run(
             model="model",
-            prompt_id="prompt_id",
+            prompt_content="prompt_content",
         )
         assert_matches_type(object, playground, path=["response"])
 
@@ -84,7 +84,7 @@ async def test_method_run(self, async_client: AsyncLemma) -> None:
     async def test_method_run_with_all_params(self, async_client: AsyncLemma) -> None:
         playground = await async_client.playground.run(
             model="model",
-            prompt_id="prompt_id",
+            prompt_content="prompt_content",
             evaluator_id="evaluator_id",
             input_variables={"foo": "bar"},
         )
@@ -95,7 +95,7 @@ async def test_method_run_with_all_params(self, async_client: AsyncLemma) -> Non
     async def test_raw_response_run(self, async_client: AsyncLemma) -> None:
         response = await async_client.playground.with_raw_response.run(
             model="model",
-            prompt_id="prompt_id",
+            prompt_content="prompt_content",
         )
 
         assert response.is_closed is True
@@ -108,7 +108,7 @@ async def test_raw_response_run(self, async_client: AsyncLemma) -> None:
     async def test_streaming_response_run(self, async_client: AsyncLemma) -> None:
         async with async_client.playground.with_streaming_response.run(
             model="model",
-            prompt_id="prompt_id",
+            prompt_content="prompt_content",
         ) as response:
             assert not response.is_closed
             assert response.http_request.headers.get("X-Stainless-Lang") == "python"