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

* 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

View File

@@ -37,24 +37,24 @@ try:
print(f"Available tools from SSE MCP server: {[tool.name for tool in tools]}")
# Example: Using a tool from the SSE MCP server
sse_agent = Agent(
role="Remote Service User",
goal="Utilize a tool provided by a remote SSE MCP server.",
backstory="An AI agent that connects to external services via SSE.",
agente_sse = Agent(
role="Usuário de Serviço Remoto",
goal="Utilizar uma ferramenta fornecida por um servidor MCP remoto via SSE.",
backstory="Um agente de IA que conecta a serviços externos via SSE.",
tools=tools,
reasoning=True,
verbose=True,
)
sse_task = Task(
description="Fetch real-time stock updates for 'AAPL' using an SSE tool.",
expected_output="The latest stock price for AAPL.",
agent=sse_agent,
description="Buscar atualizações em tempo real das ações 'AAPL' usando uma ferramenta SSE.",
expected_output="O preço mais recente da ação AAPL.",
agent=agente_sse,
markdown=True
)
sse_crew = Crew(
agents=[sse_agent],
agents=[agente_sse],
tasks=[sse_task],
verbose=True,
process=Process.sequential
@@ -101,16 +101,16 @@ try:
print(f"Available tools (manual SSE): {[tool.name for tool in tools]}")
manual_sse_agent = Agent(
role="Remote Data Analyst",
goal="Analyze data fetched from a remote SSE MCP server using manual connection management.",
backstory="An AI skilled in handling SSE connections explicitly.",
role="Analista Remoto de Dados",
goal="Analisar dados obtidos de um servidor MCP remoto SSE usando gerenciamento manual de conexão.",
backstory="Um agente de IA especializado em gerenciar conexões SSE explicitamente.",
tools=tools,
verbose=True
)
analysis_task = Task(
description="Fetch and analyze the latest user activity trends from the SSE server.",
expected_output="A summary report of user activity trends.",
description="Buscar e analisar as tendências mais recentes de atividade de usuários do servidor SSE.",
expected_output="Um relatório resumido das tendências de atividade dos usuários.",
agent=manual_sse_agent
)