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fix: correct code example language inconsistency in pt-BR docs (#3088)

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* fix: correct code example language inconsistency in pt-BR docs

* fix: fix: fully standardize code example language and naming in pt-BR docs

* fix: fix: fully standardize code example language and naming in pt-BR docs fixed variables

* fix: fix: fully standardize code example language and naming in pt-BR docs fixed params

---------

Co-authored-by: Lucas Gomide <lucaslg200@gmail.com>
This commit is contained in:
Irineu Brito
2025-07-02 12:18:32 -04:00
committed by GitHub
parent ceb310bcde
commit 7f83947020
37 changed files with 545 additions and 634 deletions
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24
docs/pt-BR/learn/kickoff-async.mdx
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@@ -45,17 +45,17 @@ from crewai import Crew, Agent, Task
# Create an agent with code execution enabled
coding_agent = Agent(
role="Python Data Analyst",
goal="Analyze data and provide insights using Python",
backstory="You are an experienced data analyst with strong Python skills.",
role="Analista de Dados Python",
goal="Analisar dados e fornecer insights usando Python",
backstory="Você é um analista de dados experiente com fortes habilidades em Python.",
allow_code_execution=True
)
# Create a task that requires code execution
data_analysis_task = Task(
description="Analyze the given dataset and calculate the average age of participants. Ages: {ages}",
description="Analise o conjunto de dados fornecido e calcule a idade média dos participantes. Idades: {ages}",
agent=coding_agent,
expected_output="The average age of the participants."
expected_output="A idade média dos participantes."
)
# Create a crew and add the task
@@ -83,23 +83,23 @@ from crewai import Crew, Agent, Task
# Create an agent with code execution enabled
coding_agent = Agent(
role="Python Data Analyst",
goal="Analyze data and provide insights using Python",
backstory="You are an experienced data analyst with strong Python skills.",
role="Analista de Dados Python",
goal="Analisar dados e fornecer insights usando Python",
backstory="Você é um analista de dados experiente com fortes habilidades em Python.",
allow_code_execution=True
)
# Create tasks that require code execution
task_1 = Task(
description="Analyze the first dataset and calculate the average age of participants. Ages: {ages}",
description="Analise o primeiro conjunto de dados e calcule a idade média dos participantes. Idades: {ages}",
agent=coding_agent,
expected_output="The average age of the participants."
expected_output="A idade média dos participantes."
)
task_2 = Task(
description="Analyze the second dataset and calculate the average age of participants. Ages: {ages}",
description="Analise o segundo conjunto de dados e calcule a idade média dos participantes. Idades: {ages}",
agent=coding_agent,
expected_output="The average age of the participants."
expected_output="A idade média dos participantes."
)
# Create two crews and add tasks