Overview

In AgentScope AI, workflows represent orchestrated sequences of actions designed to automate complex security auditing and analysis tasks. These workflows integrate multiple tools, agents, and data sources to deliver comprehensive insights and efficient execution of tasks. By standardizing processes and providing end-to-end automation, workflows are essential for ensuring consistency, scalability, and high-quality results in decentralized security environments.

Defining Workflows

Workflows in AgentScope AI are structured sequences of operations that are triggered by specific events or conditions. They enable agents to coordinate tasks such as smart contract audits, risk assessments, and report generation. Each workflow comprises several steps, where each step can invoke one or more tools or agent actions. This modular design allows workflows to be customized to meet the unique requirements of various security and auditing projects.

Key Components

1. Trigger Events: These are predefined conditions or events that initiate a workflow. Triggers can be based on scheduled intervals, specific user inputs, or detected anomalies in the system.

2. Workflow Steps: Each workflow is divided into multiple steps, where every step is responsible for a particular operation. Steps can include tasks such as data retrieval, code analysis, vulnerability scanning, and report compilation.

3. Tool Integration: Workflows leverage AgentScope AI's suite of tools to perform specialized functions. Tools are executed with strict parameter validation and have defined input schemas, ensuring reliable performance across various tasks.

4. Agent Coordination: Agents within the system interact with workflows to provide real-time analysis and execute actions based on the aggregated results from various tools. This integration ensures that workflows are both dynamic and responsive to changes in the security landscape.

5. Error Handling and Logging: Robust error handling mechanisms are built into workflows to manage exceptions and ensure continuity. Detailed logging provides traceability and accountability, which are crucial for audit trails and subsequent analysis.

Creating a Workflow

Workflows are created by defining a series of steps in a configuration file or through a dedicated workflow builder interface. Each step specifies the action to be executed, the tools or agents to be used, and the conditions for progression to the next step. Below is an example of a simplified workflow configuration using pseudocode:

// Example Workflow Configuration for a Security Audit

const workflow = {
  trigger: {
    event: "newAuditRequest", // Event that initiates the workflow
  },
  steps: [
    {
      id: "validateInput",
      action: "validateContractInput",
      parameters: {
        requiredFields: ["contractAddress", "sourceCode"],
      },
      nextStep: "preliminaryReview",
    },
    {
      id: "preliminaryReview",
      action: "runPreliminaryAudit",
      parameters: {},
      nextStep: "detailedAnalysis",
    },
    {
      id: "detailedAnalysis",
      action: "runDetailedAudit",
      parameters: {
        auditType: "Security Audit", // Options: "Security Audit", "Gas Optimization Audit"
      },
      nextStep: "reportGeneration",
    },
    {
      id: "reportGeneration",
      action: "generateAuditReport",
      parameters: {
        format: "detailed",
      },
      nextStep: "finalize",
    },
    {
      id: "finalize",
      action: "finalizeWorkflow",
      parameters: {},
    },
  ],
};

export default workflow;

Running and Monitoring Workflows

Once configured, workflows are integrated into the AgentScope AI system and executed automatically when trigger events occur. The system monitors each step, logs execution details, and handles errors to ensure smooth operation. Administrators can review workflow logs and performance metrics through the AgentScope AI dashboard.