TypeError when using send_conversation with gemini

When running the "examples/translate_text.py" using gemini as the LLM provider a TypeError is raised:

```python
import simplemind as sm

def translate_to_french(text: str) -> str:
conversation = sm.create_conversation(llm_provider="gemini")

conversation.add_message(
"user", f"Translate the following text to French: {text!r}"
)
return conversation.send().text

print(translate_to_french("an omlette with cheese"))
```

Output:

```
Traceback (most recent call last):
File "/home/gabrielmota/Projects/aifun/script.py", line 13, in
print(translate_to_french("an omlette with changes"))
~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/gabrielmota/Projects/aifun/script.py", line 10, in translate_to_french
return conversation.send().text
~~~~~~~~~~~~~~~~~^^
File "/home/gabrielmota/Projects/aifun/.venv/lib64/python3.13/site-packages/simplemind/models.py", line 185, in send
response = provider.send_conversation(self, tools=tools)
File "/home/gabrielmota/Projects/aifun/.venv/lib64/python3.13/site-packages/simplemind/logging.py", line 16, in wrapper
return func(*args, **kwargs)
TypeError: Gemini.send_conversation() got an unexpected keyword argument 'tools'
```

Run examples/translate_text.py with the Gemini provider to reproduce the TypeError. Then inspect simplemind/models.py around Conversation.send and the Gemini.send_conversation entry point shown in the traceback, including logging.py. Done means the example completes without rejecting the tools argument.

Written by the indexing model from the issue text.