community[patch]: Update the default “API URL” and “MODEL” of sparkllm (#22070)

- **Description:** When I was running the sparkllm, I found that the
default parameters currently used could no longer run correctly.
    - original parameters & values:
         - spark_api_url: "wss://spark-api.xf-yun.com/v3.1/chat"
         - spark_llm_domain: "generalv3"
    ```python
    # example
    
    from langchain_community.chat_models import ChatSparkLLM
    
spark = ChatSparkLLM(spark_app_id="my_app_id",
spark_api_key="my_api_key", spark_api_secret="my_api_secret")
    spark.invoke("hello")
    ```

![sparkllm](https://github.com/langchain-ai/langchain/assets/55082429/5369bfdf-4305-496a-bcf5-2d3f59d39414)

So I updated them to 3.5 (same as sparkllm official website). After the
update, they can be used normally.
    - new parameters & values:
         - spark_api_url: "wss://spark-api.xf-yun.com/v3.5/chat"
         - spark_llm_domain: "generalv3.5"

libs/community/langchain_community/chat_models/sparkllm.py

@@ -43,6 +43,9 @@ from langchain_core.utils import (
 
 logger = logging.getLogger(__name__)
 
+SPARK_API_URL = "wss://spark-api.xf-yun.com/v3.5/chat"
+SPARK_LLM_DOMAIN = "generalv3.5"
+
 
 def _convert_message_to_dict(message: BaseMessage) -> dict:
     if isinstance(message, ChatMessage):
@@ -108,7 +111,7 @@ class ChatSparkLLM(BaseChatModel):
     Extra infos:
         1. Get app_id, api_key, api_secret from the iFlyTek Open Platform Console:
             https://console.xfyun.cn/services/bm35
-        2. By default, iFlyTek Spark LLM V3.0 is invoked.
+        2. By default, iFlyTek Spark LLM V3.5 is invoked.
             If you need to invoke other versions, please configure the corresponding
             parameters(spark_api_url and spark_llm_domain) according to the document:
             https://www.xfyun.cn/doc/spark/Web.html
@@ -134,17 +137,31 @@ class ChatSparkLLM(BaseChatModel):
         }
 
     client: Any = None  #: :meta private:
-    spark_app_id: Optional[str] = None
+    spark_app_id: Optional[str] = Field(default=None, alias="app_id")
+    """Automatically inferred from env var `IFLYTEK_SPARK_APP_ID` 
+        if not provided."""
     spark_api_key: Optional[str] = Field(default=None, alias="api_key")
-    spark_api_secret: Optional[str] = None
+    """Automatically inferred from env var `IFLYTEK_SPARK_API_KEY` 
-    spark_api_url: Optional[str] = None
+        if not provided."""
-    spark_llm_domain: Optional[str] = None
+    spark_api_secret: Optional[str] = Field(default=None, alias="api_secret")
+    """Automatically inferred from env var `IFLYTEK_SPARK_API_SECRET` 
+        if not provided."""
+    spark_api_url: Optional[str] = Field(default=None, alias="api_url")
+    """Base URL path for API requests, leave blank if not using a proxy or service 
+        emulator."""
+    spark_llm_domain: Optional[str] = Field(default=None, alias="model")
+    """Model name to use."""
     spark_user_id: str = "lc_user"
     streaming: bool = False
+    """Whether to stream the results or not."""
     request_timeout: int = Field(30, alias="timeout")
+    """request timeout for chat http requests"""
     temperature: float = Field(default=0.5)
+    """What sampling temperature to use."""
     top_k: int = 4
+    """What search sampling control to use."""
     model_kwargs: Dict[str, Any] = Field(default_factory=dict)
+    """Holds any model parameters valid for API call not explicitly specified."""
 
     class Config:
         """Configuration for this pydantic object."""
@@ -199,13 +216,13 @@ class ChatSparkLLM(BaseChatModel):
             values,
             "spark_api_url",
             "IFLYTEK_SPARK_API_URL",
-            "wss://spark-api.xf-yun.com/v3.1/chat",
+            SPARK_API_URL,
         )
         values["spark_llm_domain"] = get_from_dict_or_env(
             values,
             "spark_llm_domain",
             "IFLYTEK_SPARK_LLM_DOMAIN",
-            "generalv3",
+            SPARK_LLM_DOMAIN,
         )
         # put extra params into model_kwargs
         values["model_kwargs"]["temperature"] = values["temperature"] or cls.temperature
@@ -307,12 +324,10 @@ class _SparkLLMClient:
                 "Please install it with `pip install websocket-client`."
             )
 
-        self.api_url = (
+        self.api_url = SPARK_API_URL if not api_url else api_url
-            "wss://spark-api.xf-yun.com/v3.1/chat" if not api_url else api_url
-        )
         self.app_id = app_id
         self.model_kwargs = model_kwargs
-        self.spark_domain = spark_domain or "generalv3"
+        self.spark_domain = spark_domain or SPARK_LLM_DOMAIN
         self.queue: Queue[Dict] = Queue()
         self.blocking_message = {"content": "", "role": "assistant"}
         self.api_key = api_key