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    Flow-alerta.cab

    Agent Architecture

    Process automationBuilding an AI Agent System
    Editorially reviewed on: 2 sources
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    The short answer · 10 words

    In short

    Describes the technical structure and control of an agent system.

    Flow-alerta.cab (2026): Agent Architecture. https://flow-alerta.cab/en/glossar/agent-architecture. Editorially reviewed on: 09 October 2026.

    How much detail would you like?

    Practical

    Relevant for maintainable, verifiable and integrable agents in existing systems.

    Example scenario: A document agent receives a search, limited memory, and a share level before write actions.

    Possible application: Selecting a simple structure for research, support or document processes.

    At a glance

    Core
    The architecture determines how the model, tools, context, state and control logic work together. This also includes task transfers, limits and auditing. A single language model does not automatically form a complete agent system.
    Use
    Relevant for maintainable, verifiable and integrable agents in existing systems.
    Example
    Example scenario: A document agent receives a search, limited memory, and a share level before write actions.
    Limits
    Too many components; lack of abort rules; unclear state management; tool rights limited by prompts alone.

    In context

    Tool Use / Function Calling

    Function Calling allows a model to suggest tool calls that an application executes in a controlled manner.

    Questions about this term

    Is architecture the same framework?

    No, a framework supports their implementation.

    Does each task need multiple agents?

    No.

    All details and background

    The architecture determines how the model, tools, context, state and control logic work together. This also includes task transfers, limits and auditing. A single language model does not automatically form a complete agent system.

    ELI5 – Explained simply

    Like a blueprint: It shows which parts work together and who takes on which task.

    Why it matters in practice

    Relevant for maintainable, verifiable and integrable agents in existing systems.

    Example

    Example scenario: A document agent receives a search, limited memory, and a share level before write actions.

    Pitfalls and limits

    • Too many components; lack of abort rules; unclear state management; tool rights limited by prompts alone.

    Origin & history

    Documented examples show different patterns: OpenAI Swarm uses agents and handoffs; Google ADK supports modular agent systems. There is not only one architecture.

    Use in mid-sized companies

    • Possible application: Selecting a simple structure for research, support or document processes.

    Related terms

    Matching Flow-alerta service

    AI assistants & automationAI assistants & automation: test a suitable process with clear rights and human test points.

    Matching tool / use case

    View use casesGoogle ADK; Use Case: Document agent with defined tools and approvals.

    Sources

    Quellenprüfung: 09.10.2026. Anwendungsbeispiele sind mögliche Szenarien, keine behaupteten Kundenfälle.

    Editorially reviewed on:

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