Copybara import of the project:

--
ad923c2c8c503ba73c62db695e88f1a3ea1aeeea by YU MING HSU <abego452@gmail.com>:

docs: enhance Contribution process within CONTRIBUTING.md

--
8022924fb7e975ac278d38fce3b5fd593d874536 by YU MING HSU <abego452@gmail.com>:

fix: move _maybe_append_user_content from google_llm.py to base_llm.py,
so subclass can get benefit from it, call _maybe_append_user_content
from generate_content_async within lite_llm.py

--
cf891fb1a3bbccaaf9d0055b23f614ce52449977 by YU MING HSU <abego452@gmail.com>:

fix: modify install dependencies cmd, and use pyink to format codebase
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/428 from hsuyuming:fix_litellm_error_issue_427 dbec4949798e6399a0410d1b8ba7cc6a7cad7bdd
PiperOrigin-RevId: 754124679

src/google/adk/models/base_llm.py

@@ -17,6 +17,8 @@ from abc import abstractmethod
 from typing import AsyncGenerator
 from typing import TYPE_CHECKING
 
+from google.genai import types
+
 from pydantic import BaseModel
 from pydantic import ConfigDict
 
@@ -73,6 +75,48 @@ class BaseLlm(BaseModel):
     )
     yield  # AsyncGenerator requires a yield statement in function body.
 
+  def _maybe_append_user_content(self, llm_request: LlmRequest):
+    """Appends a user content, so that model can continue to output.
+
+    Args:
+      llm_request: LlmRequest, the request to send to the Gemini model.
+    """
+    # If no content is provided, append a user content to hint model response
+    # using system instruction.
+    if not llm_request.contents:
+      llm_request.contents.append(
+          types.Content(
+              role='user',
+              parts=[
+                  types.Part(
+                      text=(
+                          'Handle the requests as specified in the System'
+                          ' Instruction.'
+                      )
+                  )
+              ],
+          )
+      )
+      return
+
+    # Insert a user content to preserve user intent and to avoid empty
+    # model response.
+    if llm_request.contents[-1].role != 'user':
+      llm_request.contents.append(
+          types.Content(
+              role='user',
+              parts=[
+                  types.Part(
+                      text=(
+                          'Continue processing previous requests as instructed.'
+                          ' Exit or provide a summary if no more outputs are'
+                          ' needed.'
+                      )
+                  )
+              ],
+          )
+      )
+
   def connect(self, llm_request: LlmRequest) -> BaseLlmConnection:
     """Creates a live connection to the LLM.
 

src/google/adk/models/google_llm.py

@@ -210,48 +210,6 @@ class Gemini(BaseLlm):
     ) as live_session:
       yield GeminiLlmConnection(live_session)
 
-  def _maybe_append_user_content(self, llm_request: LlmRequest):
-    """Appends a user content, so that model can continue to output.
-
-    Args:
-      llm_request: LlmRequest, the request to send to the Gemini model.
-    """
-    # If no content is provided, append a user content to hint model response
-    # using system instruction.
-    if not llm_request.contents:
-      llm_request.contents.append(
-          types.Content(
-              role='user',
-              parts=[
-                  types.Part(
-                      text=(
-                          'Handle the requests as specified in the System'
-                          ' Instruction.'
-                      )
-                  )
-              ],
-          )
-      )
-      return
-
-    # Insert a user content to preserve user intent and to avoid empty
-    # model response.
-    if llm_request.contents[-1].role != 'user':
-      llm_request.contents.append(
-          types.Content(
-              role='user',
-              parts=[
-                  types.Part(
-                      text=(
-                          'Continue processing previous requests as instructed.'
-                          ' Exit or provide a summary if no more outputs are'
-                          ' needed.'
-                      )
-                  )
-              ],
-          )
-      )
-
 
 def _build_function_declaration_log(
     func_decl: types.FunctionDeclaration,

src/google/adk/models/lite_llm.py

@@ -172,19 +172,19 @@ def _content_to_message_param(
     tool_calls = []
     content_present = False
     for part in content.parts:
-        if part.function_call:
-            tool_calls.append(
-                ChatCompletionMessageToolCall(
-                    type="function",
-                    id=part.function_call.id,
-                    function=Function(
-                        name=part.function_call.name,
-                        arguments=part.function_call.args,
-                    ),
-                )
+      if part.function_call:
+        tool_calls.append(
+            ChatCompletionMessageToolCall(
+                type="function",
+                id=part.function_call.id,
+                function=Function(
+                    name=part.function_call.name,
+                    arguments=part.function_call.args,
+                ),
             )
-        elif part.text or part.inline_data:
-            content_present = True
+        )
+      elif part.text or part.inline_data:
+        content_present = True
 
     final_content = message_content if content_present else None
 
@@ -453,9 +453,9 @@ def _get_completion_inputs(
   for content in llm_request.contents or []:
     message_param_or_list = _content_to_message_param(content)
     if isinstance(message_param_or_list, list):
-        messages.extend(message_param_or_list)
-    elif message_param_or_list: # Ensure it's not None before appending
-        messages.append(message_param_or_list)
+      messages.extend(message_param_or_list)
+    elif message_param_or_list:  # Ensure it's not None before appending
+      messages.append(message_param_or_list)
 
   if llm_request.config.system_instruction:
     messages.insert(
@@ -611,6 +611,7 @@ class LiteLlm(BaseLlm):
       LlmResponse: The model response.
     """
 
+    self._maybe_append_user_content(llm_request)
     logger.info(_build_request_log(llm_request))
 
     messages, tools = _get_completion_inputs(llm_request)