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6ba3c4a4f8
* test: add initial e2e test * fix(vertex_ai/files): initial commit adding sync file create support * refactor: initial commit of vertex ai non-jsonl files reaching gcp endpoint * fix(vertex_ai/files/transformation.py): initial working commit of non-jsonl file call reaching backend endpoint * fix(vertex_ai/files/transformation.py): working e2e non-jsonl file upload * test: working e2e jsonl call * test: unit testing for jsonl file creation * fix(vertex_ai/transformation.py): reset file pointer after read allow multiple reads on same file object * fix: fix linting errors * fix: fix ruff linting errors * fix: fix import * fix: fix linting error * fix: fix linting error * fix(vertex_ai/files/transformation.py): fix linting error * test: update test * test: update tests * fix: fix linting errors * fix: fix test * fix: fix linting error
84 lines
2.7 KiB
Python
84 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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litellm_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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