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Fix azure max retries error (#8340)
* fix(azure.py): ensure max_retries=0 is respected Fixes https://github.com/BerriAI/litellm/issues/6129 * fix(test_openai.py): add unit test to ensure openai sdk calls always respect max_retries = 0 * test(test_azure_openai.py): add unit testing for azure_text/ route * fix(azure.py): fix passing max retries on streaming * fix(azure.py): fix azure max retries on async completion + streaming * fix(completion/handler.py): fix azure text async completion + streaming * test(test_azure_openai.py): ensure azure openai max retries always respected * test(test_azure_o_series.py): add testing to ensure max retries always respected * Added gemini providers for 2.0-flash and 2.0-flash lite (#8321) * Update model_prices_and_context_window.json added gemini providers for 2.0-flash and 2.0-flash light * Update model_prices_and_context_window.json fixed URL --------- Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com> * Convert tool use arguments to string before counting tokens (#6989) In at least some cases the `messages["tool_calls"]["function"]["arguments"]` is a dict, not a string. In order to tokenize it properly it needs to be a string. In the case that it is already a string this is a noop, which is also fine. * build(model_prices_and_context_window.json): add gemini 2.0 flash lite pricing * build(model_prices_and_context_window.json): add gemini commercial rate limits * fix(utils.py): fix linting error * refactor(utils.py): refactor to maintain function size --------- Co-authored-by: Bardia Khosravi <bardiakhosravi95@gmail.com> Co-authored-by: Josh Morrow <josh@jcmorrow.com>
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@ -1785,7 +1785,10 @@ def token_counter(
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for tool_call in message["tool_calls"]:
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if "function" in tool_call:
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function_arguments = tool_call["function"]["arguments"]
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text += function_arguments
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text = (
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text if isinstance(text, str) else "".join(text or [])
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) + (str(function_arguments) if function_arguments else "")
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else:
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raise ValueError("text and messages cannot both be None")
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elif isinstance(text, List):
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