الوكلاء

{
  "role": "{topic} Senior Data Researcher",
  "goal": "Uncover cutting-edge developments in {topic}",
  "backstory": "You find the most relevant information and present it clearly.",
  "llm": "openai/gpt-4o",
  "tools": ["SerperDevTool"],
  "settings": {
    "verbose": true,
    "allow_delegation": false
  }
}

# src/<project_name>/config/agents.yaml
researcher:
  role: >
    {topic} Senior Data Researcher
  goal: >
    Uncover cutting-edge developments in {topic}
  backstory: >
    You're a seasoned researcher with a knack for uncovering the latest
    developments in {topic}. Known for your ability to find the most relevant
    information and present it in a clear and concise manner.

reporting_analyst:
  role: >
    {topic} Reporting Analyst
  goal: >
    Create detailed reports based on {topic} data analysis and research findings
  backstory: >
    You're a meticulous analyst with a keen eye for detail. You're known for
    your ability to turn complex data into clear and concise reports, making
    it easy for others to understand and act on the information you provide.

# src/<project_name>/crew.py
from crewai import Agent, Crew, Process
from crewai.project import CrewBase, agent, crew
from crewai_tools import SerperDevTool

@CrewBase
class LatestAiDevelopmentCrew():
  """LatestAiDevelopment crew"""

  agents_config = "config/agents.yaml"

  @agent
  def researcher(self) -> Agent:
    return Agent(
      config=self.agents_config['researcher'], # type: ignore[index]
      verbose=True,
      tools=[SerperDevTool()]
    )

  @agent
  def reporting_analyst(self) -> Agent:
    return Agent(
      config=self.agents_config['reporting_analyst'], # type: ignore[index]
      verbose=True
    )

from crewai import Agent
from crewai_tools import SerperDevTool

# إنشاء وكيل بجميع المعاملات المتاحة
agent = Agent(
    role="Senior Data Scientist",
    goal="Analyze and interpret complex datasets to provide actionable insights",
    backstory="With over 10 years of experience in data science and machine learning, "
              "you excel at finding patterns in complex datasets.",
    llm="gpt-4",
    function_calling_llm=None,
    verbose=False,
    allow_delegation=False,
    max_iter=20,
    max_rpm=None,
    max_execution_time=None,
    max_retry_limit=2,
    allow_code_execution=False,
    code_execution_mode="safe",
    respect_context_window=True,
    use_system_prompt=True,
    multimodal=False,
    inject_date=False,
    date_format="%Y-%m-%d",
    reasoning=False,
    max_reasoning_attempts=None,
    tools=[SerperDevTool()],
    knowledge_sources=None,
    embedder=None,
    system_template=None,
    prompt_template=None,
    response_template=None,
    step_callback=None,
)

research_agent = Agent(
    role="Research Analyst",
    goal="Find and summarize information about specific topics",
    backstory="You are an experienced researcher with attention to detail",
    tools=[SerperDevTool()],
    verbose=True
)

dev_agent = Agent(
    role="Senior Python Developer",
    goal="Write and debug Python code",
    backstory="Expert Python developer with 10 years of experience",
    allow_code_execution=True,
    code_execution_mode="safe",
    max_execution_time=300,
    max_retry_limit=3
)

analysis_agent = Agent(
    role="Data Analyst",
    goal="Perform deep analysis of large datasets",
    backstory="Specialized in big data analysis and pattern recognition",
    memory=True,
    respect_context_window=True,
    max_rpm=10,
    function_calling_llm="gpt-4o-mini"
)

from crewai import Agent
from crewai_tools import SerperDevTool, WikipediaTools

# إنشاء الأدوات
search_tool = SerperDevTool()
wiki_tool = WikipediaTools()

# إضافة أدوات للوكيل
researcher = Agent(
    role="AI Technology Researcher",
    goal="Research the latest AI developments",
    tools=[search_tool, wiki_tool],
    verbose=True
)

from crewai import Agent
from crewai_tools import SerperDevTool

# إنشاء وكيل
researcher = Agent(
    role="AI Technology Researcher",
    goal="Research the latest AI developments",
    tools=[SerperDevTool()],
    verbose=True
)

# استخدام kickoff() للتفاعل مباشرة مع الوكيل
result = researcher.kickoff("What are the latest developments in language models?")

# الوصول إلى الاستجابة الخام
print(result.raw)

from crewai.agents import AgentExecutor

from crewai import Agent

agent = Agent(
    role="Source Reviewer",
    goal="Quote sources exactly",
    backstory="Checks every quote against the original text",
    use_better_compaction=False,  # Keep whole tool results in the conversation
)

from crewai import LLM

llm = LLM(model="openrouter/your-provider/your-model")
print(llm.get_context_window_size())