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_openai.py

@@ -18,7 +18,7 @@ from tests.unit_tests.callbacks.fake_callback_handler import (
 def test_openai_call() -> None:
     """Test valid call to openai."""
     llm = OpenAI()
-    output = llm("Say something nice:")
+    output = llm.invoke("Say something nice:")
     assert isinstance(output, str)
 
 
@@ -34,9 +34,9 @@ def test_openai_stop_valid() -> None:
     """Test openai stop logic on valid configuration."""
     query = "write an ordered list of five items"
     first_llm = OpenAI(stop="3", temperature=0)
-    first_output = first_llm(query)
+    first_output = first_llm.invoke(query)
     second_llm = OpenAI(temperature=0)
-    second_output = second_llm(query, stop=["3"])
+    second_output = second_llm.invoke(query, stop=["3"])
     # Because it stops on new lines, shouldn't return anything
     assert first_output == second_output
 
@@ -45,7 +45,7 @@ def test_openai_stop_error() -> None:
     """Test openai stop logic on bad configuration."""
     llm = OpenAI(stop="3", temperature=0)
     with pytest.raises(ValueError):
-        llm("write an ordered list of five items", stop=["\n"])
+        llm.invoke("write an ordered list of five items", stop=["\n"])
 
 
 def test_saving_loading_llm(tmp_path: Path) -> None:
@@ -158,7 +158,7 @@ def test_openai_streaming_multiple_prompts_error() -> None:
 def test_openai_streaming_call() -> None:
     """Test valid call to openai."""
     llm = OpenAI(max_tokens=10, streaming=True)
-    output = llm("Say foo:")
+    output = llm.invoke("Say foo:")
     assert isinstance(output, str)
 
 
@@ -173,7 +173,7 @@ def test_openai_streaming_callback() -> None:
         callback_manager=callback_manager,
         verbose=True,
     )
-    llm("Write me a sentence with 100 words.")
+    llm.invoke("Write me a sentence with 100 words.")
     assert callback_handler.llm_streams == 10