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/langchain_community/llms/anthropic.py

@@ -170,13 +170,13 @@ class Anthropic(LLM, _AnthropicCommon):
 
             # Simplest invocation, automatically wrapped with HUMAN_PROMPT
             # and AI_PROMPT.
-            response = model("What are the biggest risks facing humanity?")
+            response = model.invoke("What are the biggest risks facing humanity?")
 
             # Or if you want to use the chat mode, build a few-shot-prompt, or
             # put words in the Assistant's mouth, use HUMAN_PROMPT and AI_PROMPT:
             raw_prompt = "What are the biggest risks facing humanity?"
             prompt = f"{anthropic.HUMAN_PROMPT} {prompt}{anthropic.AI_PROMPT}"
-            response = model(prompt)
+            response = model.invoke(prompt)
     """
 
     class Config:
@@ -236,7 +236,7 @@ class Anthropic(LLM, _AnthropicCommon):
 
                 prompt = "What are the biggest risks facing humanity?"
                 prompt = f"\n\nHuman: {prompt}\n\nAssistant:"
-                response = model(prompt)
+                response = model.invoke(prompt)
 
         """
         if self.streaming: