Agentic Mesh. The GenAI-Powered Autonomous Agent Ecosystem Eric Broda, Davis Broda

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Spis treści książki

• Foreword
• Preface
  • What This Book Isnt
  • What This Book Is About
  • Who Should Read This Book
  • Prerequisites
  • What You Will Learn
  • Navigating This Book
    • Part I: Defining the Essentials
    • Part II: Defining the Agent Ecosystem: Agentic Mesh
    • Part III: Building Your Agentic Mesh
  • Conventions Used in This Book
  • OReilly Online Learning
  • How to Contact Us
  • Acknowledgments
• I. Defining the Essentials
• 1. Understanding Agentic Mesh: The Essentials
  • The Introduction of LLMs
  • The Agent Era
  • Defining Agents
  • Agents Today
  • Enterprise-Grade Agents
  • Agentic Mesh: The Agent Ecosystem
  • The Agent Challenge
  • The Agent Opportunity
  • Summary
• 2. Agentic Past, Present, and Future
  • The Agent Past
    • The Origins of Artificial Intelligence
    • The Era of Machine Learning
    • The Deep Learning Revolution
  • The Agent Present
    • The Transformer Architecture
    • The Age of LLMs
  • The Agentic Future
    • Short Term: Laying the Foundation for Enterprise-Grade Agents
    • Medium Term: The Rise of Agentic Meshthe Agent Ecosystem
    • Long Term: The Creation of the Agent Businesses
  • Summary
• 3. Agents Versus AI Workflow
  • Defining AI Workflows
  • Common Types of AI Workflows
    • Prompt Chaining
    • Routing
    • Parallelization
    • Orchestration
    • Reflection
  • Challenges with AI Workflows
    • The Black Box Issue
    • Scaling Challenges
    • Handling Edge Cases
  • Comparing AI Workflows and Agents
  • Agents Extend AI Workflows
  • Summary
• 4. Agent Basics
  • Agent Analogy: Agents as People
  • From Person to Agent
  • From Teams to Agent Fleets
  • From Organizations to Agent Ecosystems
  • Architecture of an Agent
  • Task Planning
  • Task Execution
  • Problem-Solving
  • Tool Use
  • Memory and Context
  • Learning
  • Collaboration and Communications
  • Summary
• II. Defining the Agent Ecosystem: Agentic Mesh
• 5. Agent Architecture
  • Agent Principles
    • Trustworthy and Accountable
    • Reliable and Durable
    • Explainable and Traceable
    • Collaborative and Intelligent
  • Agent Components
    • Agent Brain
    • Agent Memory
    • Agent Context Engineering
    • Agent Tools
  • Agent Task Management
    • Creating the Task Plan
    • Identifying Collaborators and Tools
    • Parameters Substitution
    • Executing the Task Plan
  • Agent Interactions and Conversations
    • Agent Messaging Model
    • Agent Conversation Management
    • Agent State Management
    • Agent Workspaces
    • Agent Identities and Roles
  • Agent Types
    • Task-Oriented Agents
    • Goal-Oriented Agents
    • Simulation Agents
    • Observer Agents
  • Agent Patterns
    • Agent Communication Patterns
      • Interaction pattern
      • Delegation pattern
      • Conversation pattern
      • Attention pattern
      • Broadcast pattern
      • Listener pattern
    • Agent Role Patterns
      • Planner pattern
      • Orchestrator pattern
      • Executor pattern
      • Observer pattern
      • Judge pattern
      • Enforcer pattern
    • Agent Organizational Patterns
      • Singleton pattern
      • Team pattern
      • Organization pattern
      • Swarm pattern
      • Ecosystem pattern
      • Legal entity pattern
      • Federation pattern
      • Supply chain pattern
  • Agent Configuration
    • Identity, Description, and Purpose
    • Task Execution Strategy
    • Security Configuration
    • Policy and Certification
    • Agent and Tool Visibility
  • Summary
• 6. Enterprise-Grade Agents
  • Microagents (Microservice Agents)
  • Agent Security
    • Basic Microservices Security
    • Container Security
    • Kubernetes Security
  • Agent Reliability
    • The Reliability Problem
    • The Reliability Problem Root Cause
    • Potential Solutions
    • Task Decomposition
    • Deterministic Execution
    • Specialization
    • A Future with Reliable Agents
  • Agent Explainability
    • The Trust Gap
    • Explainability: Real-World Lessons
    • Explaining Explainability
    • Toward Explainable Agents
  • Agent Scalability
    • The Scalability Problem
    • Distributed Architectures
    • Common Collaboration Techniques
    • Conversation/State Management
    • Enterprise-Grade Agent Capabilities
    • Agents as the Quantum of Reuse
    • Scaling the LLM Foundation
  • Agent Discovery
    • Beyond a Search Problem
    • Finding the Right Agent
  • Agent Observability and Traceability
  • Agent Operability
  • Agent Testing
    • Testing LLMs
    • Extending to Agent Testing
    • Testing Microagents: Determinism Within the Probabilistic
  • AgentOps: DevOps for Agents
  • Summary
• 7. Agentic Mesh: Enterprise-Grade Agent Ecosystem
  • Ecosystems and Scale
  • Agent Fleets
    • Structure and Composition
    • Coordination and Operation
    • The Ecosystem Management Plane
  • Agentic Mesh Components
    • The Registry
      • Registration
      • Discovery
      • Metadata storage
    • The Monitor
    • The Interactions Server
    • The Marketplace
      • Friendlier APIs
      • Alerting
      • How a user engages an agent
    • Workbenches
    • The Proxy
  • Mesh Capabilities
    • Trust Framework
    • Operations
    • Agent Lifecycle Management
  • Summary
• 8. Agentic Mesh User Experience (UX)
  • Agentic Mesh UX
  • Login
  • Home
  • Marketplace
    • What Is an Agent Marketplace?
    • Marketplace Services
      • Authentication and authorization
      • Agent discovery
      • Agent profiles
      • Feedback and ratings
      • Integration with workbenches, dashboards, and registry
    • Finding the Right Agent
  • Natural Language Search
  • Hierarchical Agent Navigation
  • Consumer Workbench: Engaging an Agent
    • Shared Workspaces for Agents
      • Creating and managing workspaces
      • Secure participant configuration
      • Goal configuration and end conditions
      • Agent orchestration
      • Live collaboration and interaction
    • Chat Interfaces for Agents
      • Initiating agent conversations
      • Task execution configuration
      • Interactive session management
      • Task tracking and history
  • Creator Workbench
    • Registering Agent Metadata
    • Connecting Agents to the Marketplace
    • Using Workbenches to Manage Agent Lifecycle
    • Similarities Between Creator Workbench and PyPI
  • Trust Workbench
    • Policy Configuration
    • Policy Attachment to Agents
    • Agent Certification
    • Internal and Third-Party Certification
    • Certification Lifecycle Management
  • Operator Workbench
    • Agent Observability
    • Diagnostics and Troubleshooting
    • Execution Control
  • Summary
• 9. Agentic Mesh Registry
  • Agentic Mesh Registry
  • Agents
  • Conversations
  • Interactions
  • Workspaces
  • Policies
  • Users
  • Implementation Considerations
  • Summary
• 10. Interaction Management
  • Agentic Mesh Interaction Management
  • Event-Driven Communication
    • HTTP Versus Event-Driven
    • Message Queues: Reliable Delivery and Persistence
    • Pub/Sub: Dynamic and Scalable Distribution
    • Event Replay
    • Monitoring Queues
  • User-to-Agent Communication
    • Interaction Lifecycle
    • Conversations
    • Conversation and Interaction Endpoints
  • Agent-to-Agent Communication
    • Agents as Plan Steps
    • Sending Messages
  • User Alerts
  • Workspaces
    • Deciding to Respond
    • Acting on Workspace Messages
    • Workspace Goals
    • Workspaces as a Super-Context
  • Summary
• 11. Security Considerations
  • Agentic Mesh Security
  • Mutual TLS
  • Authentication and Authorization
  • Secrets Management
  • Prompt Injection
    • Prompt Injection Example
    • Techniques of Prompt Injection
    • Combating Prompt Injection
  • LLM Jailbreaking
  • Behavioral Monitoring
  • Disaster Recovery
  • Summary
• 12. Trust Framework and Governance
  • Seven-Layer Agent Trust Framework
  • Layer 1: Identity and Authentication
    • Managing Identity Lifecycle
    • Delegating and Scoping Authority
    • Scaling Identity
    • Monitoring and Auditing Identity
    • Trust and Identities
  • Layer 2: Authorization and Access Control
    • Access Control Foundations
    • A Zero-Trust Model for Agents
    • Enforcement, Least Privilege, and Lifecycle Management
    • Identity Integration and Federated Governance
    • Operationalizing Security by Design
  • Layer 3: Purpose and Policies
    • Purpose: Defining What an Agent Does
    • Policies: Defining Operational Constraints
  • Layer 4: Task Planning and Explainability
    • The Problem: Opaque Reasoning in Todays Agents
    • Choosing Tools and Collaborators
    • Parameterization and Step Execution
  • Layer 5: Observability and Traceability
    • Visibility into Agent Activity
    • Capturing Multiagent Task Contexts
    • Operational Monitoring and System-Level Observability
  • Layer 6: Certification and Compliance
    • Certification as Structured Assurance
    • Evaluation, Oversight, and Recertification
    • Trust Registries, Metadata, and Discoverability
    • Feedback Loops, Enforcement, and Long-Term Trust
  • Layer 7: Governance and Lifecycle Management
    • Agent Governance in Practice
    • Agent Lifecycle Management Implications
  • Summary
• III. Building Your Agentic Mesh
• 13. Operating Model and Team Structure
  • Structure, Process, Technology, Policy, and Metrics
    • Structure (People and Agents)
    • Process
    • Technology
    • Metrics
    • Policy
    • Other Considerations
  • Structure of Agent Fleets
    • Fleets as the Scaling Unit of the Mesh
    • Dynamic Membership and Fluid Boundaries
    • Core Services as the Glue
    • Alignment to Missions, Not Just Functions
    • Key Roles in Fleet Management
    • Organizational Patterns for Fleets
  • Structure of Agent Teams
    • Agent Owner
    • Agent Engineers
    • Reliability and Operations Specialists (Agent SREs)
    • Governance and Certification Lead
    • Evaluation and Human-in-the-Loop Supervisor
    • Policy and Ethics Liaison
    • Release Manager
  • Transition Considerations
    • Human Impact and Ethical Foundations
    • Communication, Trust, and Cultural Adaptation
    • Structured Transition Through Reskilling, Support, and Governance
  • The Future of Work
    • Jobs: From Automation to Autonomy
    • Uneven Impacts and Workforce Polarization
    • Emergence of Hybrid Professions and Operating Models
    • Human Purpose, Adaptability, and Continuous Learning
  • Summary
• 14. Agent Factory: Building Agents at Scale
  • Agent Development Cycle
  • Building Agents at Scale
    • Fleets
    • Fleet Organization
      • Hierarchy
      • Swarm
      • Federation
    • Building Fleets
  • Operating Agents at Scale
    • Deploying Fleets
    • Monitoring Fleets: Fleet Observer Agents
    • Updating and Retiring Fleets
  • A More Distant Future
    • Agents Building Agents
    • Larger Abstractions
  • Summary
• 15. A Practical Roadmap for Implementation
  • Strategic Foundations
    • Phase 1: Formulate Strategy
    • Phase 2: Design Architecture
    • Phase 3: Identify Candidate Pipeline
    • Phase 4: Select MVP
  • Technology Build / Industrialization
    • Build Technology Foundation
      • Phase 1: Establish core data and state infrastructure
      • Phase 2: Deploy messaging, streaming, and API gateways
      • Phase 3: Integrate models and formalize environments
    • Industrialize Technology Foundation
      • Phase 1: Build observability and monitoring baselines
      • Phase 2: Design for high availability and automated deployment
      • Phase 3: Optimize for scale and efficiency
    • Secure Technology Foundation
      • Phase 1: Establish identity and access controls
      • Phase 2: Implement secure communication
      • Phase 3: Extend zero trust across environments
    • Manage Models and Operations
      • Phase 1: Establish model registry and sourcing practices
      • Phase 2: Build training, fine-tuning, and versioning pipelines
      • Phase 3: Operationalize monitoring, drift detection, and governance
  • Agent and Fleet Factories
    • Build Enterprise-Grade Agent Framework
      • Step 1: Standardize agent foundations
      • Step 2: Implement discoverability and registration
      • Step 3: Embed observability and operability
      • Step 4: Enforce security and policy compliance
    • Build Enterprise-Grade Agent Fleet/Ecosystem Framework
      • Step 1: Establish the control plane
      • Step 2: Build the marketplace and registry
      • Step 3: Enable ecosystem-wide discovery and observability
      • Step 4: Operationalize ecosystem reliability and safety
    • Establish Agent/Fleet DevSecOps
      • Step 1: Standardize development pipelines
      • Step 2: Integrate security by design
      • Step 3: Automate testing and certification pipelines
      • Step 4: Enable continuous deployment and transparency
    • Create Agent Factory
      • Step 1: Define templates and scaffolding
      • Step 2: Build SDKs and shared libraries
      • Step 3: Provide connectors and integration points
      • Step 4: Automate lifecycle tooling and assembly workflows
    • Create Fleet Factory
      • Step 1: Define fleet topologies and patterns
      • Step 2: Encode orchestration rules and escalation paths
      • Step 3: Build testing environments and resilience protocols
      • Step 4: Automate lifecycle management and certification
  • Organizational and Operating Model
    • Establish New Operating Model
      • Phase 1: Define roles and redesign processes
      • Phase 2: Integrate agents and evolve toward hybrid models
    • Manage Change
      • Phase 1: Align leadership and engage middle management
      • Phase 2: Broaden socialization and embed into culture
    • Train Staff and Build Skills
      • Phase 1: Build literacy and governance awareness
      • Phase 2: Develop collaborative and role-specific skills
  • Governance and Certification
    • Establish Agent Governance and Certification
      • Phase 1: Establish identity and purpose
      • Phase 2: Implement policy controls
      • Phase 3: Certify and delegate accountability
    • Establish Fleet Governance and Certification
      • Phase 1: Define fleet-level rules and standards
      • Phase 2: Model systemic risks and enforce policies
      • Phase 3: Certify fleets and delegate ownership
  • Summary
• Index

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