structure saas with tools

.venv/lib/python3.10/site-packages/litellm/llms/gemini/common_utils.py

@@ -0,0 +1,84 @@
+from typing import List, Optional, Union
+
+import httpx
+
+import litellm
+from litellm.llms.base_llm.base_utils import BaseLLMModelInfo
+from litellm.llms.base_llm.chat.transformation import BaseLLMException
+from litellm.secret_managers.main import get_secret_str
+from litellm.types.llms.openai import AllMessageValues
+
+
+class GeminiError(BaseLLMException):
+    pass
+
+
+class GeminiModelInfo(BaseLLMModelInfo):
+    def validate_environment(
+        self,
+        headers: dict,
+        model: str,
+        messages: List[AllMessageValues],
+        optional_params: dict,
+        litellm_params: dict,
+        api_key: Optional[str] = None,
+        api_base: Optional[str] = None,
+    ) -> dict:
+        """Google AI Studio sends api key in query params"""
+        return headers
+
+    @property
+    def api_version(self) -> str:
+        return "v1beta"
+
+    @staticmethod
+    def get_api_base(api_base: Optional[str] = None) -> Optional[str]:
+        return (
+            api_base
+            or get_secret_str("GEMINI_API_BASE")
+            or "https://generativelanguage.googleapis.com"
+        )
+
+    @staticmethod
+    def get_api_key(api_key: Optional[str] = None) -> Optional[str]:
+        return api_key or (get_secret_str("GEMINI_API_KEY"))
+
+    @staticmethod
+    def get_base_model(model: str) -> Optional[str]:
+        return model.replace("gemini/", "")
+
+    def get_models(
+        self, api_key: Optional[str] = None, api_base: Optional[str] = None
+    ) -> List[str]:
+        api_base = GeminiModelInfo.get_api_base(api_base)
+        api_key = GeminiModelInfo.get_api_key(api_key)
+        endpoint = f"/{self.api_version}/models"
+        if api_base is None or api_key is None:
+            raise ValueError(
+                "GEMINI_API_BASE or GEMINI_API_KEY is not set. Please set the environment variable, to query Gemini's `/models` endpoint."
+            )
+
+        response = litellm.module_level_client.get(
+            url=f"{api_base}{endpoint}?key={api_key}",
+        )
+
+        if response.status_code != 200:
+            raise ValueError(
+                f"Failed to fetch models from Gemini. Status code: {response.status_code}, Response: {response.json()}"
+            )
+
+        models = response.json()["models"]
+
+        litellm_model_names = []
+        for model in models:
+            stripped_model_name = model["name"].strip("models/")
+            litellm_model_name = "gemini/" + stripped_model_name
+            litellm_model_names.append(litellm_model_name)
+        return litellm_model_names
+
+    def get_error_class(
+        self, error_message: str, status_code: int, headers: Union[dict, httpx.Headers]
+    ) -> BaseLLMException:
+        return GeminiError(
+            status_code=status_code, message=error_message, headers=headers
+        )