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Fix W293 lint errors in usage_metrics.py docstrings

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Co-Authored-By: João <joao@crewai.com>
This commit is contained in:
Devin AI
2026-01-03 17:37:00 +00:00
parent 5b8e42c028
commit e022caae6c
1 changed files with 6 additions and 6 deletions
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12
lib/crewai/src/crewai/types/usage_metrics.py
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@@ -48,7 +48,7 @@ class UsageMetrics(BaseModel):
class AgentTokenMetrics(BaseModel): class AgentTokenMetrics(BaseModel):
"""Token usage metrics for a specific agent. """Token usage metrics for a specific agent.
Attributes: Attributes:
agent_name: Name/role of the agent agent_name: Name/role of the agent
agent_id: Unique identifier for the agent agent_id: Unique identifier for the agent
@@ -57,7 +57,7 @@ class AgentTokenMetrics(BaseModel):
completion_tokens: Completion tokens used by this agent completion_tokens: Completion tokens used by this agent
successful_requests: Number of successful LLM requests successful_requests: Number of successful LLM requests
""" """
agent_name: str = Field(description="Name/role of the agent") agent_name: str = Field(description="Name/role of the agent")
agent_id: str | None = Field(default=None, description="Unique identifier for the agent") agent_id: str | None = Field(default=None, description="Unique identifier for the agent")
total_tokens: int = Field(default=0, description="Total tokens used by this agent") total_tokens: int = Field(default=0, description="Total tokens used by this agent")
@@ -69,7 +69,7 @@ class AgentTokenMetrics(BaseModel):
class TaskTokenMetrics(BaseModel): class TaskTokenMetrics(BaseModel):
"""Token usage metrics for a specific task. """Token usage metrics for a specific task.
Attributes: Attributes:
task_name: Name of the task task_name: Name of the task
task_id: Unique identifier for the task task_id: Unique identifier for the task
@@ -79,7 +79,7 @@ class TaskTokenMetrics(BaseModel):
completion_tokens: Completion tokens used for this task completion_tokens: Completion tokens used for this task
successful_requests: Number of successful LLM requests successful_requests: Number of successful LLM requests
""" """
task_name: str = Field(description="Name of the task") task_name: str = Field(description="Name of the task")
task_id: str | None = Field(default=None, description="Unique identifier for the task") task_id: str | None = Field(default=None, description="Unique identifier for the task")
agent_name: str = Field(description="Name of the agent that executed the task") agent_name: str = Field(description="Name of the agent that executed the task")
@@ -92,7 +92,7 @@ class TaskTokenMetrics(BaseModel):
class WorkflowTokenMetrics(BaseModel): class WorkflowTokenMetrics(BaseModel):
"""Complete token usage metrics for a crew workflow. """Complete token usage metrics for a crew workflow.
Attributes: Attributes:
total_tokens: Total tokens used across entire workflow total_tokens: Total tokens used across entire workflow
prompt_tokens: Total prompt tokens used prompt_tokens: Total prompt tokens used
@@ -101,7 +101,7 @@ class WorkflowTokenMetrics(BaseModel):
per_agent: Dictionary mapping agent names to their token metrics per_agent: Dictionary mapping agent names to their token metrics
per_task: Dictionary mapping task names to their token metrics per_task: Dictionary mapping task names to their token metrics
""" """
total_tokens: int = Field(default=0, description="Total tokens used across entire workflow") total_tokens: int = Field(default=0, description="Total tokens used across entire workflow")
prompt_tokens: int = Field(default=0, description="Total prompt tokens used") prompt_tokens: int = Field(default=0, description="Total prompt tokens used")
cached_prompt_tokens: int = Field(default=0, description="Total cached prompt tokens used") cached_prompt_tokens: int = Field(default=0, description="Total cached prompt tokens used")