chore: Updates model_config docstring to explicitly mentioning pydantic.

This is to disambiguate between pydantic model and LLM.

PiperOrigin-RevId: 754981617

src/google/adk/models/base_llm.py

@@ -14,11 +14,9 @@
 from __future__ import annotations
 
 from abc import abstractmethod
-from typing import AsyncGenerator
-from typing import TYPE_CHECKING
+from typing import AsyncGenerator, TYPE_CHECKING
 
 from google.genai import types
-
 from pydantic import BaseModel
 from pydantic import ConfigDict
 
@@ -34,14 +32,13 @@ class BaseLlm(BaseModel):
 
   Attributes:
     model: The name of the LLM, e.g. gemini-1.5-flash or gemini-1.5-flash-001.
-    model_config: The model config
   """
 
   model_config = ConfigDict(
       # This allows us to use arbitrary types in the model. E.g. PIL.Image.
       arbitrary_types_allowed=True,
   )
-  """The model config."""
+  """The pydantic model config."""
 
   model: str
   """The name of the LLM, e.g. gemini-1.5-flash or gemini-1.5-flash-001."""

src/google/adk/models/lite_llm.py

@@ -573,7 +573,6 @@ class LiteLlm(BaseLlm):
   Attributes:
     model: The name of the LiteLlm model.
     llm_client: The LLM client to use for the model.
-    model_config: The model config.
   """
 
   llm_client: LiteLLMClient = Field(default_factory=LiteLLMClient)

src/google/adk/models/llm_request.py

@@ -37,7 +37,7 @@ class LlmRequest(BaseModel):
   """
 
   model_config = ConfigDict(arbitrary_types_allowed=True)
-  """The model config."""
+  """The pydantic model config."""
 
   model: Optional[str] = None
   """The model name."""

src/google/adk/models/llm_response.py

@@ -41,7 +41,7 @@ class LlmResponse(BaseModel):
   """
 
   model_config = ConfigDict(extra='forbid')
-  """The model config."""
+  """The pydantic model config."""
 
   content: Optional[types.Content] = None
   """The content of the response."""