patch: remove usage of llm, chat model __call__ (#20788)

- `llm(prompt)` -> `llm.invoke(prompt)`
- `llm(prompt=prompt` -> `llm.invoke(prompt)` (same with `messages=`)
- `llm(prompt, callbacks=callbacks)` -> `llm.invoke(prompt,
config={"callbacks": callbacks})`
- `llm(prompt, **kwargs)` -> `llm.invoke(prompt, **kwargs)`

libs/community/tests/integration_tests/llms/test_minimax.py

@@ -5,14 +5,14 @@ from langchain_community.llms.minimax import Minimax
 def test_minimax_call() -> None:
     """Test valid call to minimax."""
     llm = Minimax(max_tokens=10)
-    output = llm("Hello world!")
+    output = llm.invoke("Hello world!")
     assert isinstance(output, str)
 
 
 def test_minimax_call_successful() -> None:
     """Test valid call to minimax."""
     llm = Minimax()
-    output = llm(
+    output = llm.invoke(
         "A chain is a serial assembly of connected pieces, called links, \
         typically made of metal, with an overall character similar to that\
         of a rope in that it is flexible and curved in compression but \