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https://github.com/BerriAI/litellm.git
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fb1272b46b
* test(test_utils.py): initial test for valid models Addresses https://github.com/BerriAI/litellm/issues/7525 * fix: test * feat(fireworks_ai/transformation.py): support retrieving valid models from fireworks ai endpoint * refactor(fireworks_ai/): support checking model info on `/v1/models` route * docs(set_keys.md): update docs to clarify check llm provider api usage * fix(watsonx/common_utils.py): support 'WATSONX_ZENAPIKEY' for iam auth * fix(watsonx): read in watsonx token from env var * fix: fix linting errors * fix(utils.py): fix provider config check * style: cleanup unused imports
29 lines
1.1 KiB
Python
29 lines
1.1 KiB
Python
"""
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Translate from OpenAI's `/v1/chat/completions` to VLLM's `/v1/chat/completions`
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"""
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from typing import List, Optional, Tuple
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from litellm.secret_managers.main import get_secret_str
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from ...openai.chat.gpt_transformation import OpenAIGPTConfig
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class LiteLLMProxyChatConfig(OpenAIGPTConfig):
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def _get_openai_compatible_provider_info(
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self, api_base: Optional[str], api_key: Optional[str]
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) -> Tuple[Optional[str], Optional[str]]:
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api_base = api_base or get_secret_str("LITELLM_PROXY_API_BASE") # type: ignore
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dynamic_api_key = api_key or get_secret_str("LITELLM_PROXY_API_KEY")
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return api_base, dynamic_api_key
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def get_models(
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self, api_key: Optional[str] = None, api_base: Optional[str] = None
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) -> List[str]:
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api_base, api_key = self._get_openai_compatible_provider_info(api_base, api_key)
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if api_base is None:
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raise ValueError(
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"api_base not set for LiteLLM Proxy route. Set in env via `LITELLM_PROXY_API_BASE`"
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)
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models = super().get_models(api_key=api_key, api_base=api_base)
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return [f"litellm_proxy/{model}" for model in models]
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