CrewAI Agent

The CrewAI Agent enables role-based autonomous agents with distinct personalities and goals. It provides a framework for creating specialized agents that can collaborate, reason about tasks, and utilize tools while maintaining their unique characteristics and objectives.

CrewAI Agent workflow and architecture

Configuration Parameters

Required Input Parameters

role: Agent's professional role or expertise
goal: Agent's primary objective
backstory: Agent's background and context

Optional Configuration

tools: Available tools and capabilities
- name: Tool identifier
- description: Tool purpose
- parameters: Required inputs
- constraints: Usage limitations
llm: Language model configuration
- model_name: Model identifier
- temperature: Response creativity
- max_tokens: Response length limit

Output Format

{
  "agent": {
    "profile": {
      "role": string,
      "goal": string,
      "backstory": string,
      "expertise_areas": array
    },
    "capabilities": {
      "available_tools": array,
      "skill_levels": object,
      "constraints": array
    },
    "state": {
      "current_task": string,
      "progress": number,
      "memory": {
        "context": object,
        "experience": array
      }
    },
    "performance": {
      "task_completion_rate": number,
      "tool_usage_stats": object,
      "decision_quality": number
    },
    "interaction_history": [
      {
        "timestamp": string,
        "action": string,
        "outcome": string,
        "learning": string
      }
    ]
  }
}

Features

Role-based behavior
Goal-oriented execution
Contextual decision-making
Tool utilization
Experience accumulation
Performance tracking
Adaptive learning
Collaboration capabilities

Note: Define clear and specific goals for optimal agent performance. Consider the agent's expertise when assigning tools and tasks.

Tip: Create detailed backstories to enhance role-specific behavior. Use appropriate tool combinations to maximize agent capabilities.

Example Usage

const researchAgent = new CrewAIAgent({
  role: "Research Analyst",
  goal: "Conduct comprehensive market analysis for emerging tech trends",
  backstory: "Experienced analyst with 10 years in technology sector research...",
  tools: [
    {
      name: "web_search",
      description: "Search internet for recent information",
      parameters: {
        query: "string",
        max_results: "number"
      }
    },
    {
      name: "data_analyzer",
      description: "Analyze numerical data and trends",
      parameters: {
        data: "array",
        analysis_type: "string"
      }
    }
  ],
  llm: {
    model_name: "gpt-4",
    temperature: 0.4,
    max_tokens: 2000
  }
});

const agent = await researchAgent.initialize();