diff --git a/README.md b/README.md index e9105d9c5a..dcdcb37107 100644 --- a/README.md +++ b/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 diff --git a/contributing/samples/adk_issue_formatting_agent/agent.py b/contributing/samples/adk_issue_formatting_agent/agent.py index 5aa55998c0..ae906f3993 100644 --- a/contributing/samples/adk_issue_formatting_agent/agent.py +++ b/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" diff --git a/contributing/samples/adk_pr_triaging_agent/agent.py b/contributing/samples/adk_pr_triaging_agent/agent.py index 8363995cc3..7f849fe358 100644 --- a/contributing/samples/adk_pr_triaging_agent/agent.py +++ b/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}") diff --git a/contributing/samples/adk_triaging_agent/agent.py b/contributing/samples/adk_triaging_agent/agent.py index 313e9cc15f..82f02e771c 100644 --- a/contributing/samples/adk_triaging_agent/agent.py +++ b/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}" diff --git a/llms-full.txt b/llms-full.txt index 52b9121f15..1ea50993fc 100644 --- a/llms-full.txt +++ b/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 diff --git a/llms.txt b/llms.txt index 97e83563c1..f8beadf368 100644 --- a/llms.txt +++ b/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 diff --git a/src/google/adk/evaluation/eval_metrics.py b/src/google/adk/evaluation/eval_metrics.py index 8b640a147f..eb7c7e36cb 100644 --- a/src/google/adk/evaluation/eval_metrics.py +++ b/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( diff --git a/src/google/adk/tools/spanner/settings.py b/src/google/adk/tools/spanner/settings.py index ca7e05f1b1..13eda282ec 100644 --- a/src/google/adk/tools/spanner/settings.py +++ b/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.