diff --git a/src/google/adk/evaluation/eval_config.py b/src/google/adk/evaluation/eval_config.py
index 185f02cc20..ead2303ceb 100644
--- a/src/google/adk/evaluation/eval_config.py
+++ b/src/google/adk/evaluation/eval_config.py
@@ -89,7 +89,7 @@ class EvalConfig(BaseModel):
 In the sample below, `tool_trajectory_avg_score`, `response_match_score` and
 `final_response_match_v2` are the standard eval metric names, represented as
 keys in the dictionary. The values in the dictionary are the corresponding
-criterions. For the first two metrics, we use simple threshold as the criterion,
+criteria. For the first two metrics, we use simple threshold as the criterion,
 the third one uses `LlmAsAJudgeCriterion`.
 {
   "criteria": {
diff --git a/src/google/adk/evaluation/simulation/per_turn_user_simulator_quality_v1.py b/src/google/adk/evaluation/simulation/per_turn_user_simulator_quality_v1.py
index 5d6208a10a..4cf2381b86 100644
--- a/src/google/adk/evaluation/simulation/per_turn_user_simulator_quality_v1.py
+++ b/src/google/adk/evaluation/simulation/per_turn_user_simulator_quality_v1.py
@@ -58,7 +58,7 @@
 
 # Definition of Conversation History
 The Conversation History is the actual dialogue between the User Simulator and the Agent.
-The Conversation History may not be complete, but the exsisting dialogue should adhere to the Conversation Plan.
+The Conversation History may not be complete, but the existing dialogue should adhere to the Conversation Plan.
 The Conversation History may contain instances where the User Simulator troubleshoots an incorrect/inappropriate response from the Agent in order to enforce the Conversation Plan.
 The Conversation History is finished only when the User Simulator outputs `{stop_signal}` in its response. If this token is missing, the conversation between the User Simulator and the Agent has not finished, and more turns can be generated.
 
diff --git a/src/google/adk/flows/llm_flows/contents.py b/src/google/adk/flows/llm_flows/contents.py
index 046a443a25..1cc9f754d4 100644
--- a/src/google/adk/flows/llm_flows/contents.py
+++ b/src/google/adk/flows/llm_flows/contents.py
@@ -220,7 +220,7 @@ def _rearrange_events_for_latest_function_response(
 
 
 def _is_part_invisible(p: types.Part) -> bool:
-  """Returns whether a part is invisible for LLM context."""
+  """A part is considered invisible if it's a thought, or has no visible content."""
   return getattr(p, 'thought', False) or not (
       p.text
       or p.inline_data
diff --git a/src/google/adk/memory/vertex_ai_rag_memory_service.py b/src/google/adk/memory/vertex_ai_rag_memory_service.py
index bd6e9dc2b0..001b30b541 100644
--- a/src/google/adk/memory/vertex_ai_rag_memory_service.py
+++ b/src/google/adk/memory/vertex_ai_rag_memory_service.py
@@ -52,7 +52,7 @@ def __init__(
           or ``{rag_corpus_id}``
         similarity_top_k: The number of contexts to retrieve.
         vector_distance_threshold: Only returns contexts with vector distance
-          smaller than the threshold..
+          smaller than the threshold.
     """
     self._vertex_rag_store = types.VertexRagStore(
         rag_resources=[
diff --git a/src/google/adk/runners.py b/src/google/adk/runners.py
index b931561c4d..ddb00814ab 100644
--- a/src/google/adk/runners.py
+++ b/src/google/adk/runners.py
@@ -770,7 +770,7 @@ async def _exec_with_plugin(
       # identified by checking if the transcription event is partial. When
       # the next transcription event is not partial, it means the previous
       # transcription is finished. Then if there is any buffered function
-      # call event, we should append them after this finished(non-parital)
+      # call event, we should append them after this finished(non-partial)
       # transcription event.
       buffered_events: list[Event] = []
       is_transcribing: bool = False
@@ -789,7 +789,7 @@ async def _exec_with_plugin(
               buffered_events.append(event)
               continue
             # Note for live/bidi: for audio response, it's considered as
-            # non-paritla event(event.partial=None)
+            # non-partial event(event.partial=None)
             # event.partial=False and event.partial=None are considered as
             # non-partial event; event.partial=True is considered as partial
             # event.
@@ -937,7 +937,7 @@ async def run_live(
     **Events Yielded to Callers:**
     *   **Live Model Audio Events with Inline Data:** Events containing raw
         audio `Blob` data(`inline_data`).
-    *   **Live Model Audio Events with File Data:** Both input and ouput audio
+    *   **Live Model Audio Events with File Data:** Both input and output audio
         data are aggregated into a audio file saved into artifacts. The
         reference to the file is saved in the event as `file_data`.
     *   **Usage Metadata:** Events containing token usage.