Fix typos in docstrings across multiple files (#101)

* Fix typos in docstrings across multiple files: 'conversaction' -> 'conversation' and 'dsiabled' -> 'disabled'. Update comments for clarity.

* Fix typos in comments and docstrings across multiple files

- Corrected "reqeust" to "request" in auth_preprocessor.py
- Fixed "credentails" to "credentials" in auth_tool.py
- Updated "agetn" to "agent" in cli_eval.py
- Changed "creiteria" to "criteria" in cli_tools_click.py

---------

Co-authored-by: fangyu <fangyu.jobs@gmail.com>
Co-authored-by: Hangfei Lin <hangfei@google.com>
This commit is contained in:
Fangyu 2025-04-11 22:19:57 -07:00 committed by GitHub
parent b68f3aa11f
commit ee2a75368a
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9 changed files with 15 additions and 15 deletions

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@ -120,7 +120,7 @@ class BaseAgent(BaseModel):
self,
parent_context: InvocationContext,
) -> AsyncGenerator[Event, None]:
"""Entry method to run an agent via text-based conversaction.
"""Entry method to run an agent via text-based conversation.
Args:
parent_context: InvocationContext, the invocation context of the parent
@ -152,7 +152,7 @@ class BaseAgent(BaseModel):
self,
parent_context: InvocationContext,
) -> AsyncGenerator[Event, None]:
"""Entry method to run an agent via video/audio-based conversaction.
"""Entry method to run an agent via video/audio-based conversation.
Args:
parent_context: InvocationContext, the invocation context of the parent
@ -171,7 +171,7 @@ class BaseAgent(BaseModel):
async def _run_async_impl(
self, ctx: InvocationContext
) -> AsyncGenerator[Event, None]:
"""Core logic to run this agent via text-based conversaction.
"""Core logic to run this agent via text-based conversation.
Args:
ctx: InvocationContext, the invocation context for this agent.
@ -187,7 +187,7 @@ class BaseAgent(BaseModel):
async def _run_live_impl(
self, ctx: InvocationContext
) -> AsyncGenerator[Event, None]:
"""Core logic to run this agent via video/audio-based conversaction.
"""Core logic to run this agent via video/audio-based conversation.
Args:
ctx: InvocationContext, the invocation context for this agent.

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@ -124,7 +124,7 @@ class InvocationContext(BaseModel):
agent_2, and agent_2 is the parent of agent_3.
Branch is used when multiple sub-agents shouldn't see their peer agents'
conversaction history.
conversation history.
"""
agent: BaseAgent
"""The current agent of this invocation context. Readonly."""

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@ -32,7 +32,7 @@ class RemoteAgent(BaseAgent):
sub_agents: list[BaseAgent] = Field(
default_factory=list, init=False, frozen=True
)
"""Sub-agent is dsiabled in RemoteAgent."""
"""Sub-agent is disabled in RemoteAgent."""
@override
async def _run_async_impl(

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@ -42,7 +42,7 @@ class RunConfig(BaseModel):
"""Speech configuration for the live agent."""
response_modalities: Optional[list[str]] = None
"""The output modalities. If not set, its default to AUDIO."""
"""The output modalities. If not set, it's default to AUDIO."""
save_input_blobs_as_artifacts: bool = False
"""Whether or not to save the input blobs as artifacts."""

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@ -76,7 +76,7 @@ class _AuthLlmRequestProcessor(BaseLlmRequestProcessor):
for i in range(len(events) - 2, -1, -1):
event = events[i]
# looking for the system long running reqeust euc function call
# looking for the system long running request euc function call
function_calls = event.get_function_calls()
if not function_calls:
continue
@ -92,7 +92,7 @@ class _AuthLlmRequestProcessor(BaseLlmRequestProcessor):
if not tools_to_resume:
continue
# found the the system long running reqeust euc function call
# found the the system long running request euc function call
# looking for original function call that requests euc
for j in range(i - 1, -1, -1):
event = events[j]

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@ -19,7 +19,7 @@ from .auth_schemes import AuthScheme
class AuthConfig(BaseModel):
"""The auth config sent by tool asking client to collect auth credentails and
"""The auth config sent by tool asking client to collect auth credentials and
adk and client will help to fill in the response
"""

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@ -112,14 +112,14 @@ def get_evaluation_criteria_or_default(
def get_root_agent(agent_module_file_path: str) -> Agent:
"""Returns root agent given the agetn module."""
"""Returns root agent given the agent module."""
agent_module = _get_agent_module(agent_module_file_path)
root_agent = agent_module.agent.root_agent
return root_agent
def try_get_reset_func(agent_module_file_path: str) -> Any:
"""Returns reset function for the agent, if present, given the agetn module."""
"""Returns reset function for the agent, if present, given the agent module."""
agent_module = _get_agent_module(agent_module_file_path)
reset_func = getattr(agent_module.agent, "reset_data", None)
return reset_func

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@ -150,7 +150,7 @@ def cli_eval(
EvalMetric(metric_name=metric_name, threshold=threshold)
)
print(f"Using evaluation creiteria: {evaluation_criteria}")
print(f"Using evaluation criteria: {evaluation_criteria}")
root_agent = get_root_agent(agent_module_file_path)
reset_func = try_get_reset_func(agent_module_file_path)

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@ -16,8 +16,8 @@
#
# We expect that the underlying GenAI SDK will provide a certain
# level of tracing and logging telemetry aligned with Open Telemetry
# Semantic Conventions (such as logging prompts, respones, request
# properties, etc.) and so the information that is recorded by the
# Semantic Conventions (such as logging prompts, responses,
# request properties, etc.) and so the information that is recorded by the
# Agent Development Kit should be focused on the higher-level
# constructs of the framework that are not observable by the SDK.