Fixed docstyle

ols/src/llms/providers/azure_openai.py

@@ -45,7 +45,7 @@ class AzureOpenAI(LLMProvider):
 
     @property
     def default_params(self) -> dict[str, Any]:
-        """Default LLM params."""
+        """Construct and return structure with default LLM params."""
         self.url = str(self.provider_config.url or self.url)
         self.credentials = self.provider_config.credentials
         deployment_name = self.provider_config.deployment_name

ols/src/llms/providers/bam.py

@@ -24,7 +24,7 @@ class BAM(LLMProvider):
 
     @property
     def default_params(self) -> dict[str, Any]:
-        """Default LLM params."""
+        """Construct and return structure with default LLM params."""
         return {
             "decoding_method": "sample",
             "max_new_tokens": 512,

ols/src/llms/providers/fake_provider.py

@@ -19,7 +19,7 @@ class FakeProvider(LLMProvider):
 
     @property
     def default_params(self) -> dict[str, Any]:
-        """Default LLM params."""
+        """Construct and return structure with default LLM params."""
         return {}
 
     def load(self) -> LLM:

ols/src/llms/providers/openai.py

@@ -22,7 +22,7 @@ class OpenAI(LLMProvider):
 
     @property
     def default_params(self) -> dict[str, Any]:
-        """Default LLM params."""
+        """Construct and return structure with default LLM params."""
         self.url = str(self.provider_config.url or self.url)
         self.credentials = self.provider_config.credentials
         # provider-specific configuration has precendence over regular configuration

ols/src/llms/providers/rhelai_vllm.py

@@ -24,7 +24,7 @@ class RHELAIVLLM(LLMProvider):
 
     @property
     def default_params(self) -> dict[str, Any]:
-        """Default LLM params."""
+        """Construct and return structure with default LLM params."""
         self.url = str(self.provider_config.url or self.url)
         self.credentials = self.provider_config.credentials
         # provider-specific configuration has precendence over regular configuration

ols/src/llms/providers/rhoai_vllm.py

@@ -24,7 +24,7 @@ class RHOAIVLLM(LLMProvider):
 
     @property
     def default_params(self) -> dict[str, Any]:
-        """Default LLM params."""
+        """Construct and return structure with default LLM params."""
         self.url = str(self.provider_config.url or self.url)
         self.credentials = self.provider_config.credentials
         # provider-specific configuration has precendence over regular configuration

ols/src/llms/providers/watsonx.py

@@ -26,7 +26,7 @@ class Watsonx(LLMProvider):
 
     @property
     def default_params(self) -> dict[str, Any]:
-        """Default LLM params."""
+        """Construct and return structure with default LLM params."""
         # https://www.ibm.com/docs/en/watsonx-as-a-service?topic=models-parameters
         return {
             GenParams.DECODING_METHOD: "sample",

scripts/evaluation/utils/models.py

@@ -12,7 +12,7 @@ class OpenAIVanilla(OpenAI):
 
     @property
     def default_params(self):
-        """Default LLM params."""
+        """Construct and return structure with default LLM params."""
         self.url = str(self.provider_config.url)
         self.credentials = self.provider_config.credentials
         # provider-specific configuration has precendence over regular configuration
@@ -34,7 +34,7 @@ class AzureOpenAIVanilla(AzureOpenAI):
 
     @property
     def default_params(self):
-        """Default LLM params."""
+        """Construct and return structure with default LLM params."""
         self.url = str(self.provider_config.url or self.url)
         self.credentials = self.provider_config.credentials
         deployment_name = self.provider_config.deployment_name
@@ -71,7 +71,7 @@ class WatsonxVanilla(Watsonx):
 
     @property
     def default_params(self):
-        """Default LLM params."""
+        """Construct and return structure with default LLM params."""
         return {
             GenTextParamsMetaNames.MAX_NEW_TOKENS: 1024,
         }