Fixes for OpenAI / Azure OpenAI compatibility with LiteLLM router #1760
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dbczumar
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Nov 5, 2024
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| if api_config.api_key is not None: | ||
| litellm_params["api_key"] = api_config.api_key | ||
| if api_config.api_base is not None: | ||
| litellm_params["api_base"] = api_config.api_base | ||
| if api_config.api_version is not None: | ||
| litellm_params["api_version"] = api_config.api_version | ||
| if api_config.azure_ad_token is not None: | ||
| litellm_params["azure_ad_token"] = api_config.azure_ad_token |
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@okhat For OpenAI and Azure OpenAI, API keys must be defined in the Router's model_list directly, due to initialization logic in https://github.com/BerriAI/litellm/blob/0fe8cde7c78d6b975b936f7802a4124b58bd253a/litellm/router.py#L3999-L4001
dbczumar
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Nov 5, 2024
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| # Use the API key and base from the kwargs, or from the environment. | ||
| api_key = kwargs.pop("api_key", None) or os.getenv(f"{provider}_API_KEY") | ||
| api_base = kwargs.pop("api_base", None) or os.getenv(f"{provider}_API_BASE") |
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These are now part of the router definition, so they don't need to be passed to the text_completion() API
dbczumar
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Nov 5, 2024
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| Note: The API configurations are removed from the specified `llm_kwargs`, if present, mutating | ||
| the input dictionary. |
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This avoids duplicating code in litellm_text_completion, which pops the api key and base from the user-specified kwargs
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Fixes for OpenAI / Azure OpenAI compatibility with LiteLLM router