structure saas with tools

.venv/lib/python3.10/site-packages/google/adk/models/base_llm.py

@@ -0,0 +1,87 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from __future__ import annotations
+
+from abc import abstractmethod
+from typing import AsyncGenerator
+from typing import TYPE_CHECKING
+
+from pydantic import BaseModel
+from pydantic import ConfigDict
+
+from .base_llm_connection import BaseLlmConnection
+
+if TYPE_CHECKING:
+  from .llm_request import LlmRequest
+  from .llm_response import LlmResponse
+
+
+class BaseLlm(BaseModel):
+  """The BaseLLM class.
+
+  Attributes:
+    model: The name of the LLM, e.g. gemini-1.5-flash or gemini-1.5-flash-001.
+    model_config: The model config
+  """
+
+  model_config = ConfigDict(
+      # This allows us to use arbitrary types in the model. E.g. PIL.Image.
+      arbitrary_types_allowed=True,
+  )
+  """The model config."""
+
+  model: str
+  """The name of the LLM, e.g. gemini-1.5-flash or gemini-1.5-flash-001."""
+
+  @classmethod
+  def supported_models(cls) -> list[str]:
+    """Returns a list of supported models in regex for LlmRegistry."""
+    return []
+
+  @abstractmethod
+  async def generate_content_async(
+      self, llm_request: LlmRequest, stream: bool = False
+  ) -> AsyncGenerator[LlmResponse, None]:
+    """Generates one content from the given contents and tools.
+
+    Args:
+      llm_request: LlmRequest, the request to send to the LLM.
+      stream: bool = False, whether to do streaming call.
+
+    Yields:
+      a generator of types.Content.
+
+      For non-streaming call, it will only yield one Content.
+
+      For streaming call, it may yield more than one content, but all yielded
+      contents should be treated as one content by merging the
+      parts list.
+    """
+    raise NotImplementedError(
+        f'Async generation is not supported for {self.model}.'
+    )
+    yield  # AsyncGenerator requires a yield statement in function body.
+
+  def connect(self, llm_request: LlmRequest) -> BaseLlmConnection:
+    """Creates a live connection to the LLM.
+
+    Args:
+      llm_request: LlmRequest, the request to send to the LLM.
+
+    Returns:
+      BaseLlmConnection, the connection to the LLM.
+    """
+    raise NotImplementedError(
+        f'Live connection is not supported for {self.model}.'
+    )