Merge branch 'main' into feature/ollama-llm

Author: ayman3000

README.md

@@ -115,7 +115,7 @@ root_agent = Agent(
 
 ### Define a multi-agent system:
 
-Define a multi-agent system with coordinator agent, greeter agent, and task execution agent. Then ADK engine and the model will guide the agents works together to accomplish the task.
+Define a multi-agent system with coordinator agent, greeter agent, and task execution agent. Then ADK engine and the model will guide the agents to work together to accomplish the task.
 
 ```python
 from google.adk.agents import LlmAgent, BaseAgent

contributing/samples/adk_issue_formatting_agent/agent.py

@@ -96,7 +96,7 @@ def add_comment_to_issue(issue_number: int, comment: str) -> dict[str, any]:
     comment: comment to add
 
   Returns:
-    The the status of this request, with the applied comment when successful.
+    The status of this request, with the applied comment when successful.
   """
   print(f"Attempting to add comment '{comment}' to issue #{issue_number}")
   url = f"{GITHUB_BASE_URL}/repos/{OWNER}/{REPO}/issues/{issue_number}/comments"
@@ -119,7 +119,7 @@ def list_comments_on_issue(issue_number: int) -> dict[str, any]:
     issue_number: issue number of the GitHub issue
 
   Returns:
-    The the status of this request, with the list of comments when successful.
+    The status of this request, with the list of comments when successful.
   """
   print(f"Attempting to list comments on issue #{issue_number}")
   url = f"{GITHUB_BASE_URL}/repos/{OWNER}/{REPO}/issues/{issue_number}/comments"

contributing/samples/adk_pr_triaging_agent/agent.py

@@ -166,7 +166,7 @@ def add_label_to_pr(pr_number: int, label: str) -> dict[str, Any]:
       label: the label to add
 
   Returns:
-      The the status of this request, with the applied label and response when
+      The status of this request, with the applied label and response when
       successful.
   """
   print(f"Attempting to add label '{label}' to PR #{pr_number}")
@@ -201,7 +201,7 @@ def add_comment_to_pr(pr_number: int, comment: str) -> dict[str, Any]:
     comment: the comment to add
 
   Returns:
-    The the status of this request, with the applied comment when successful.
+    The status of this request, with the applied comment when successful.
   """
   print(f"Attempting to add comment '{comment}' to issue #{pr_number}")
 

contributing/samples/adk_triaging_agent/agent.py

@@ -230,7 +230,7 @@ def change_issue_type(issue_number: int, issue_type: str) -> dict[str, Any]:
     issue_type: issue type to assign
 
   Returns:
-    The the status of this request, with the applied issue type when successful.
+    The status of this request, with the applied issue type when successful.
   """
   print(
       f"Attempting to change issue type '{issue_type}' to issue #{issue_number}"

llms-full.txt

@@ -101,7 +101,7 @@ root_agent = Agent(
 
 ### Define a multi-agent system:
 
-Define a multi-agent system with coordinator agent, greeter agent, and task execution agent. Then ADK engine and the model will guide the agents works together to accomplish the task.
+Define a multi-agent system with coordinator agent, greeter agent, and task execution agent. Then ADK engine and the model will guide the agents to work together to accomplish the task.
 
 ```python
 from google.adk.agents import LlmAgent, BaseAgent

llms.txt

@@ -103,7 +103,7 @@ root_agent = Agent(
 Define a multi-agent system:
 
 
-Define a multi-agent system with coordinator agent, greeter agent, and task execution agent. Then ADK engine and the model will guide the agents works together to accomplish the task.
+Define a multi-agent system with coordinator agent, greeter agent, and task execution agent. Then ADK engine and the model will guide the agents to work together to accomplish the task.
 
 
 from google.adk.agents import LlmAgent, BaseAgent

src/google/adk/evaluation/eval_metrics.py

@@ -189,7 +189,7 @@ class MatchType(Enum):
       Actual tool calls: [T1, T1.1, T2, T2.1, T2.2, T3, T3.1]
 
       While the tool calls T1, T2 and T3 happened in the "Actual" and in
-      the same order as "Expected", but the the tool calls T4 is missing.
+      the same order as "Expected", but the tool calls T4 is missing.
     """
 
     ANY_ORDER = 2
@@ -215,7 +215,7 @@ class MatchType(Enum):
       Actual tool calls: [T1, T1.1, T2, T2.1, T2.2, T3, T3.1]
 
       While the tool calls T1, T2 and T3 happened in the "Actual" and in
-      the same order as "Expected", but the the tool calls T4 is missing.
+      the same order as "Expected", but the tool calls T4 is missing.
     """
 
   match_type: MatchType = Field(

src/google/adk/tools/spanner/settings.py

@@ -150,7 +150,7 @@ class SpannerVectorStoreSettings(BaseModel):
   """Required. The name of the embedding column to search in the vector store table."""
 
   vector_length: int
-  """Required. The the dimension of the vectors in the `embedding_column`."""
+  """Required. The dimension of the vectors in the `embedding_column`."""
 
   vertex_ai_embedding_model_name: str
   """Required. The Vertex AI embedding model name, which is used to generate embeddings for vector store and vector similarity search.