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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -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
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4 changes: 2 additions & 2 deletions contributing/samples/adk_issue_formatting_agent/agent.py
Original file line number Diff line number Diff line change
Expand Up @@ -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"
Expand All @@ -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"
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4 changes: 2 additions & 2 deletions contributing/samples/adk_pr_triaging_agent/agent.py
Original file line number Diff line number Diff line change
Expand Up @@ -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}")
Expand Down Expand Up @@ -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}")

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2 changes: 1 addition & 1 deletion contributing/samples/adk_triaging_agent/agent.py
Original file line number Diff line number Diff line change
Expand Up @@ -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}"
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2 changes: 1 addition & 1 deletion llms-full.txt
Original file line number Diff line number Diff line change
Expand Up @@ -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
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2 changes: 1 addition & 1 deletion llms.txt
Original file line number Diff line number Diff line change
Expand Up @@ -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
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4 changes: 2 additions & 2 deletions src/google/adk/evaluation/eval_metrics.py
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand All @@ -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(
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2 changes: 1 addition & 1 deletion src/google/adk/tools/spanner/settings.py
Original file line number Diff line number Diff line change
Expand Up @@ -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.
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