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Agents and Roles in HugAI

Note: This document complements the HugAI methodology and specification, detailing the types of agents, their roles, capabilities, and collaboration examples.

Types of Specialized Agents

Agent Type Description Example Tasks/Capabilities
Analysis Analyze requirements, context, and project needs Requirements extraction, validation, prompt refinement, domain analysis
Design Propose architectures, models, and solution paths Architecture design, data modeling, API definition, task routing
Implementation Generate code, integrate APIs, write documentation Code generation, service integration, automatic documentation
Quality Evaluate and improve software quality Test generation and execution, security analysis, code review, performance
Operations Manage deployments, monitoring, and maintenance Deployment, CI/CD, monitoring, maintenance, observability
Governance Oversee compliance, risks, and critical points Compliance, risk management, auditing, approval management, escalation

Concrete Examples of Agents and Collaboration

  • Requirements Analyzer: Extracts and validates requirements from user descriptions.
  • Domain Expert: Provides domain-specific knowledge (e.g., health, finance).
  • Prompt Refiner: Optimizes prompts for generative agents.
  • Architecture Agent: Proposes and validates software architectures.
  • Router Agent: Assigns tasks to the most suitable agent according to context.
  • Code Generator: Generates source code from specifications.
  • Integration Agent: Manages integration of APIs and external services.
  • Documentation Writer: Generates technical and user documentation.
  • Test Agent: Creates and executes unit, integration, and end-to-end tests.
  • Security Agent: Performs vulnerability analysis and policy compliance.
  • Performance Agent: Evaluates performance and proposes optimizations.
  • Code Reviewer: Reviews the quality and style of generated code.
  • Deployment Agent: Automates deployment in different environments.
  • DevOps Agent: Orchestrates CI/CD pipelines and operations.
  • Maintenance Agent: Monitors system health and applies patches.
  • Observability Agent: Configures and monitors metrics and logs.
  • Compliance Agent: Verifies regulatory and compliance adherence.
  • Risk Management Agent: Assesses risks and proposes mitigations.
  • Escalation Manager: Manages critical incidents and escalations.

Example of Collaboration and Workflows

  1. Typical development flow:
  2. Requirements Analyzer extracts requirements → Architecture Agent designs the solution → Code Generator implements → Test Agent validates → Code Reviewer reviews → Deployment Agent deploys.
  3. Governance checkpoints:
  4. Compliance Agent and Risk Management Agent may require human approval before proceeding.
  5. Escalation Manager intervenes if there are critical incidents.
  6. Dynamic collaboration:
  7. Router Agent can reassign tasks based on availability or specialization.
  8. Observability Agent and Maintenance Agent collaborate to maintain system health.

Note: Agents can be implemented as independent services, modules, or integrations, and their collaboration is orchestrated by the HugAI protocol, respecting governance levels and defined checkpoints.