resume_agent = CodeAgent(
tools=[WebSearchTool(), skill_translator, layout_generator],
model=InferenceClientModel(),
instructions="You are an expert in everything related to resumes.",
name="resume_agent",
description="Expert in resume writing and skill translation for career transitions"
)
公司研究專家
company_agent = CodeAgent(
tools=[WebSearchTool(), background_compatibility_checker],
model=InferenceClientModel(),
instructions="You are an expert in everything related to company research",
name="company_agent",
description="Expert in researching companies, culture, and hiring practices for job seekers"
)
依同樣模式建立更多專家代理。
管理者代理
career_manager = CodeAgent(
tools=[],
model=InferenceClientModel(model_id="deepseek-ai/DeepSeek-R1"), # Reasoning model
instructions="You are an advisory agent to help professionals build stellar careers",
managed_agents=[resume_agent, company_agent, interview_agent, salary_agent]
)
依描述將任務指派給合適的專家。
透過 managed_agents 參數協調 4 個專家代理。
善用具強大推理與協調能力的模型。
多代理協作編排
result = career_manager.run("I want to switch from marketing to data science.
Help me update my resume, find companies hiring, prepare for interviews, and understand salaries.")
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