openai[patch]: remove optional defaults

libs/partners/openai/langchain_openai/chat_models/azure.py

@@ -79,7 +79,7 @@ class AzureChatOpenAI(BaseChatOpenAI):
             https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#rest-api-versioning
         timeout: Union[float, Tuple[float, float], Any, None]
             Timeout for requests.
-        max_retries: int
+        max_retries: Optional[int]
             Max number of retries.
         organization: Optional[str]
             OpenAI organization ID. If not passed in will be read from env
@@ -586,9 +586,9 @@ def is_lc_serializable(cls) -> bool:
     @model_validator(mode="after")
     def validate_environment(self) -> Self:
         """Validate that api key and python package exists in environment."""
-        if self.n < 1:
+        if self.n is not None and self.n < 1:
             raise ValueError("n must be at least 1.")
-        if self.n > 1 and self.streaming:
+        elif self.n is not None and self.n > 1 and self.streaming:
             raise ValueError("n must be 1 when streaming.")
 
         if self.disabled_params is None:
@@ -641,10 +641,12 @@ def validate_environment(self) -> Self:
             "organization": self.openai_organization,
             "base_url": self.openai_api_base,
             "timeout": self.request_timeout,
-            "max_retries": self.max_retries,
             "default_headers": self.default_headers,
             "default_query": self.default_query,
         }
+        if self.max_retries is not None:
+            client_params["max_retries"] = self.max_retries
+
         if not self.client:
             sync_specific = {"http_client": self.http_client}
             self.root_client = openai.AzureOpenAI(**client_params, **sync_specific)  # type: ignore[arg-type]

libs/partners/openai/langchain_openai/chat_models/base.py

@@ -409,7 +409,7 @@ class BaseChatOpenAI(BaseChatModel):
     root_async_client: Any = Field(default=None, exclude=True)  #: :meta private:
     model_name: str = Field(default="gpt-3.5-turbo", alias="model")
     """Model name to use."""
-    temperature: float = 0.7
+    temperature: Optional[float] = None
     """What sampling temperature to use."""
     model_kwargs: Dict[str, Any] = Field(default_factory=dict)
     """Holds any model parameters valid for `create` call not explicitly specified."""
@@ -430,7 +430,7 @@ class BaseChatOpenAI(BaseChatModel):
     )
     """Timeout for requests to OpenAI completion API. Can be float, httpx.Timeout or 
         None."""
-    max_retries: int = 2
+    max_retries: Optional[int] = None
     """Maximum number of retries to make when generating."""
     presence_penalty: Optional[float] = None
     """Penalizes repeated tokens."""
@@ -448,7 +448,7 @@ class BaseChatOpenAI(BaseChatModel):
     """Modify the likelihood of specified tokens appearing in the completion."""
     streaming: bool = False
     """Whether to stream the results or not."""
-    n: int = 1
+    n: Optional[int] = None
     """Number of chat completions to generate for each prompt."""
     top_p: Optional[float] = None
     """Total probability mass of tokens to consider at each step."""
@@ -532,9 +532,9 @@ def validate_temperature(cls, values: Dict[str, Any]) -> Any:
     @model_validator(mode="after")
     def validate_environment(self) -> Self:
         """Validate that api key and python package exists in environment."""
-        if self.n < 1:
+        if self.n is not None and self.n < 1:
             raise ValueError("n must be at least 1.")
-        if self.n > 1 and self.streaming:
+        elif self.n is not None and self.n > 1 and self.streaming:
             raise ValueError("n must be 1 when streaming.")
 
         # Check OPENAI_ORGANIZATION for backwards compatibility.
@@ -551,10 +551,12 @@ def validate_environment(self) -> Self:
             "organization": self.openai_organization,
             "base_url": self.openai_api_base,
             "timeout": self.request_timeout,
-            "max_retries": self.max_retries,
             "default_headers": self.default_headers,
             "default_query": self.default_query,
         }
+        if self.max_retries is not None:
+            client_params["max_retries"] = self.max_retries
+
         if self.openai_proxy and (self.http_client or self.http_async_client):
             openai_proxy = self.openai_proxy
             http_client = self.http_client
@@ -609,14 +611,14 @@ def _default_params(self) -> Dict[str, Any]:
             "stop": self.stop or None,  # also exclude empty list for this
             "max_tokens": self.max_tokens,
             "extra_body": self.extra_body,
+            "n": self.n,
+            "temperature": self.temperature,
             "reasoning_effort": self.reasoning_effort,
         }
 
         params = {
             "model": self.model_name,
             "stream": self.streaming,
-            "n": self.n,
-            "temperature": self.temperature,
             **{k: v for k, v in exclude_if_none.items() if v is not None},
             **self.model_kwargs,
         }
@@ -1565,7 +1567,7 @@ class ChatOpenAI(BaseChatOpenAI):  # type: ignore[override]
 
         timeout: Union[float, Tuple[float, float], Any, None]
             Timeout for requests.
-        max_retries: int
+        max_retries: Optional[int]
             Max number of retries.
         api_key: Optional[str]
             OpenAI API key. If not passed in will be read from env var OPENAI_API_KEY.

libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_azure_standard.ambr

@@ -15,7 +15,6 @@
       }),
       'max_retries': 2,
       'max_tokens': 100,
-      'n': 1,
       'openai_api_key': dict({
         'id': list([
           'AZURE_OPENAI_API_KEY',

libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_base_standard.ambr

@@ -11,7 +11,6 @@
       'max_retries': 2,
       'max_tokens': 100,
       'model_name': 'gpt-3.5-turbo',
-      'n': 1,
       'openai_api_key': dict({
         'id': list([
           'OPENAI_API_KEY',

libs/partners/openai/tests/unit_tests/chat_models/test_base.py

@@ -877,8 +877,6 @@ def test__get_request_payload() -> None:
         ],
         "model": "gpt-4o-2024-08-06",
         "stream": False,
-        "n": 1,
-        "temperature": 0.7,
     }
     payload = llm._get_request_payload(messages)
     assert payload == expected

libs/partners/xai/Makefile

@@ -11,6 +11,9 @@ integration_test integration_tests: TEST_FILE=tests/integration_tests/
 test tests:
 	poetry run pytest --disable-socket --allow-unix-socket $(TEST_FILE)
 
+test_watch:
+	poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE)
+
 integration_test integration_tests:
 	poetry run pytest $(TEST_FILE)
 

libs/partners/xai/langchain_xai/chat_models.py

@@ -320,9 +320,9 @@ def _get_ls_params(
     @model_validator(mode="after")
     def validate_environment(self) -> Self:
         """Validate that api key and python package exists in environment."""
-        if self.n < 1:
+        if self.n is not None and self.n < 1:
             raise ValueError("n must be at least 1.")
-        if self.n > 1 and self.streaming:
+        if self.n is not None and self.n > 1 and self.streaming:
             raise ValueError("n must be 1 when streaming.")
 
         client_params: dict = {
@@ -331,10 +331,11 @@ def validate_environment(self) -> Self:
             ),
             "base_url": self.xai_api_base,
             "timeout": self.request_timeout,
-            "max_retries": self.max_retries,
             "default_headers": self.default_headers,
             "default_query": self.default_query,
         }
+        if self.max_retries is not None:
+            client_params["max_retries"] = self.max_retries
 
         if client_params["api_key"] is None:
             raise ValueError(

libs/partners/xai/tests/unit_tests/__snapshots__/test_chat_models_standard.ambr

@@ -10,7 +10,6 @@
       'max_retries': 2,
       'max_tokens': 100,
       'model_name': 'grok-beta',
-      'n': 1,
       'request_timeout': 60.0,
       'stop': list([
       ]),