LiteLLM Minor Fixes & Improvements (10/09/2024) (#6139)

* fix(utils.py): don't return 'none' response headers

Fixes https://github.com/BerriAI/litellm/issues/6123

* fix(vertex_and_google_ai_studio_gemini.py): support parsing out additional properties and strict value for tool calls

Fixes https://github.com/BerriAI/litellm/issues/6136

* fix(cost_calculator.py): set default character value to none

Fixes https://github.com/BerriAI/litellm/issues/6133#issuecomment-2403290196

* fix(google.py): fix cost per token / cost per char conversion

Fixes https://github.com/BerriAI/litellm/issues/6133#issuecomment-2403370287

* build(model_prices_and_context_window.json): update gemini pricing

Fixes https://github.com/BerriAI/litellm/issues/6133

* build(model_prices_and_context_window.json): update gemini pricing

* fix(litellm_logging.py): fix streaming caching logging when 'turn_off_message_logging' enabled

Stores unredacted response in cache

* build(model_prices_and_context_window.json): update gemini-1.5-flash pricing

* fix(cost_calculator.py): fix default prompt_character count logic

Fixes error in gemini cost calculation

* fix(cost_calculator.py): fix cost calc for tts models

tests/local_testing/test_custom_callback_input.py

@@ -1414,6 +1414,7 @@ def test_logging_standard_payload_llm_headers(stream):
     with patch.object(
         customHandler, "log_success_event", new=MagicMock()
     ) as mock_client:
+
         resp = litellm.completion(
             model="gpt-3.5-turbo",
             messages=[{"role": "user", "content": "Hey, how's it going?"}],