standard-tests[patch]: Update chat model standard tests (#22378)

- Refactor standard test classes to make them easier to configure
- Update openai to support stop_sequences init param
- Update groq to support stop_sequences init param
- Update fireworks to support max_retries init param
- Update ChatModel.bind_tools to type tool_choice
- Update groq to handle tool_choice="any". **this may be controversial**

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>

libs/partners/fireworks/langchain_fireworks/chat_models.py

@@ -296,6 +296,8 @@ class ChatFireworks(BaseChatModel):
     """Model name to use."""
     temperature: float = 0.0
     """What sampling temperature to use."""
+    stop: Optional[Union[str, List[str]]] = Field(None, alias="stop_sequences")
+    """Default stop sequences."""
     model_kwargs: Dict[str, Any] = Field(default_factory=dict)
     """Holds any model parameters valid for `create` call not explicitly specified."""
     fireworks_api_key: SecretStr = Field(default=None, alias="api_key")
@@ -314,8 +316,8 @@ class ChatFireworks(BaseChatModel):
     """Number of chat completions to generate for each prompt."""
     max_tokens: Optional[int] = None
     """Maximum number of tokens to generate."""
-    stop: Optional[List[str]] = Field(None, alias="stop_sequences")
-    """Default stop sequences."""
+    max_retries: Optional[int] = None
+    """Maximum number of retries to make when generating."""
 
     class Config:
         """Configuration for this pydantic object."""
@@ -360,6 +362,9 @@ class ChatFireworks(BaseChatModel):
             values["client"] = Fireworks(**client_params).chat.completions
         if not values.get("async_client"):
             values["async_client"] = AsyncFireworks(**client_params).chat.completions
+        if values["max_retries"]:
+            values["client"]._max_retries = values["max_retries"]
+            values["async_client"]._max_retries = values["max_retries"]
         return values
 
     @property