diff --git a/README.md b/README.md index e9105d9c..dcdcb371 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 5aa55998..ae906f39 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 8363995c..7f849fe3 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 313e9cc1..82f02e77 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 52b9121f..1ea50993 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 97e83563..f8beadf3 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 8b640a14..eb7c7e36 100644 --- a/src/google/adk/evaluation/eval_metrics.py +++ b/src/google/adk/evaluation/eval_metrics.py @@ -189,7 +189,7 @@ class ToolTrajectoryCriterion(BaseCriterion): 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 ToolTrajectoryCriterion(BaseCriterion): 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 ca7e05f1..13eda282 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.