mirror of
https://github.com/BerriAI/litellm.git
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053b0e741f
* test: fix import for test
* fix: fix bad error string
* docs: cleanup files docs
* fix(files/main.py): cleanup error string
* style: initial commit with a provider/config pattern for files api
google ai studio files api onboarding
* fix: test
* feat(gemini/files/transformation.py): support gemini files api response transformation
* fix(gemini/files/transformation.py): return file id as gemini uri
allows id to be passed in to chat completion request, just like openai
* feat(llm_http_handler.py): support async route for files api on llm_http_handler
* fix: fix linting errors
* fix: fix model info check
* fix: fix ruff errors
* fix: fix linting errors
* Revert "fix: fix linting errors"
This reverts commit 926a5a527f.
* fix: fix linting errors
* test: fix test
* test: fix tests
83 lines
2.7 KiB
Python
83 lines
2.7 KiB
Python
from typing import List, Optional, Union
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import httpx
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import litellm
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from litellm.llms.base_llm.base_utils import BaseLLMModelInfo
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from litellm.llms.base_llm.chat.transformation import BaseLLMException
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from litellm.secret_managers.main import get_secret_str
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from litellm.types.llms.openai import AllMessageValues
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class GeminiError(BaseLLMException):
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pass
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class GeminiModelInfo(BaseLLMModelInfo):
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def validate_environment(
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self,
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headers: dict,
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model: str,
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messages: List[AllMessageValues],
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optional_params: dict,
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api_key: Optional[str] = None,
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api_base: Optional[str] = None,
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) -> dict:
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"""Google AI Studio sends api key in query params"""
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return headers
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@property
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def api_version(self) -> str:
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return "v1beta"
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@staticmethod
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def get_api_base(api_base: Optional[str] = None) -> Optional[str]:
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return (
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api_base
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or get_secret_str("GEMINI_API_BASE")
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or "https://generativelanguage.googleapis.com"
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)
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@staticmethod
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def get_api_key(api_key: Optional[str] = None) -> Optional[str]:
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return api_key or (get_secret_str("GEMINI_API_KEY"))
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@staticmethod
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def get_base_model(model: str) -> Optional[str]:
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return model.replace("gemini/", "")
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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 = GeminiModelInfo.get_api_base(api_base)
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api_key = GeminiModelInfo.get_api_key(api_key)
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endpoint = f"/{self.api_version}/models"
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if api_base is None or api_key is None:
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raise ValueError(
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"GEMINI_API_BASE or GEMINI_API_KEY is not set. Please set the environment variable, to query Gemini's `/models` endpoint."
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)
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response = litellm.module_level_client.get(
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url=f"{api_base}{endpoint}?key={api_key}",
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)
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if response.status_code != 200:
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raise ValueError(
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f"Failed to fetch models from Gemini. Status code: {response.status_code}, Response: {response.json()}"
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)
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models = response.json()["models"]
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litellm_model_names = []
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for model in models:
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stripped_model_name = model["name"].strip("models/")
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litellm_model_name = "gemini/" + stripped_model_name
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litellm_model_names.append(litellm_model_name)
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return litellm_model_names
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def get_error_class(
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self, error_message: str, status_code: int, headers: Union[dict, httpx.Headers]
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) -> BaseLLMException:
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return GeminiError(
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status_code=status_code, message=error_message, headers=headers
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)
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