Update DeepSeekLLMService docstrings

src/pipecat/services/deepseek/llm.py

@@ -4,6 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+"""DeepSeek LLM service implementation using OpenAI-compatible interface."""
 
 from typing import List
 
@@ -22,10 +23,10 @@ class DeepSeekLLMService(OpenAILLMService):
     maintaining full compatibility with OpenAI's interface and functionality.
 
     Args:
-        api_key (str): The API key for accessing DeepSeek's API
-        base_url (str, optional): The base URL for DeepSeek API. Defaults to "https://api.deepseek.com/v1"
-        model (str, optional): The model identifier to use. Defaults to "deepseek-chat"
-        **kwargs: Additional keyword arguments passed to OpenAILLMService
+        api_key: The API key for accessing DeepSeek's API.
+        base_url: The base URL for DeepSeek API. Defaults to "https://api.deepseek.com/v1".
+        model: The model identifier to use. Defaults to "deepseek-chat".
+        **kwargs: Additional keyword arguments passed to OpenAILLMService.
     """
 
     def __init__(
@@ -39,24 +40,33 @@ class DeepSeekLLMService(OpenAILLMService):
         super().__init__(api_key=api_key, base_url=base_url, model=model, **kwargs)
 
     def create_client(self, api_key=None, base_url=None, **kwargs):
-        """Create OpenAI-compatible client for DeepSeek API endpoint."""
+        """Create OpenAI-compatible client for DeepSeek API endpoint.
+
+        Args:
+            api_key: The API key for authentication. If None, uses instance default.
+            base_url: The base URL for the API. If None, uses instance default.
+            **kwargs: Additional keyword arguments for client configuration.
+
+        Returns:
+            An OpenAI-compatible client configured for DeepSeek's API.
+        """
         logger.debug(f"Creating DeepSeek client with api {base_url}")
         return super().create_client(api_key, base_url, **kwargs)
 
     async def get_chat_completions(
         self, context: OpenAILLMContext, messages: List[ChatCompletionMessageParam]
     ) -> AsyncStream[ChatCompletionChunk]:
-        """Create a streaming chat completion using Cerebras's API.
+        """Create a streaming chat completion using DeepSeek's API.
 
         Args:
-        context (OpenAILLMContext): The context object containing tools configuration
-            and other settings for the chat completion.
-        messages (List[ChatCompletionMessageParam]): The list of messages comprising
-            the conversation history and current request.
+            context: The context object containing tools configuration
+                and other settings for the chat completion.
+            messages: The list of messages comprising the conversation
+                history and current request.
 
         Returns:
-        AsyncStream[ChatCompletionChunk]: A streaming response of chat completion
-            chunks that can be processed asynchronously.
+            A streaming response of chat completion chunks that can be
+            processed asynchronously.
         """
         params = {
             "model": self.model_name,