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    Flow-alerta.cab

    AI Observability

    Process automationObservability of AI applications
    Editorially reviewed on: 1 source
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    The short answer · 13 words

    In short

    Retrace the process and state of an AI application based on operational data.

    Flow-alerta.cab (2026): AI Observability. https://flow-alerta.cab/en/glossar/ai-observability. Editorially reviewed on: 09 October 2026.

    How much detail would you like?

    Practical

    Supports error analysis and comparison of changes in operation.

    Example scenario: A team examines slow responses and detects which model call is causing the delay.

    Define necessary measurement data, limit accesses and incorporate insights into operational decisions.

    At a glance

    Core
    For example, protocols, metrics and execution traces show model calls, runtimes and errors. Additional evaluations are necessary for substantive response quality.
    Use
    Supports error analysis and comparison of changes in operation.
    Example
    Example scenario: A team examines slow responses and detects which model call is causing the delay.
    Limits
    Fully log sensitive prompts; equate technical availability with response quality; collect data without evaluation.

    In context

    AgentOps

    On-going AI agents monitor, evaluate and improve.

    AI Agent Execution Trace

    Recording related steps of an agent run for analysis.

    AI Cost Attribution

    Distribute the costs of AI applications across teams, products or tasks in a comprehensible way.

    Questions about this term

    Does an error-free call prove a correct answer?

    No. The technical process and the quality of the content shall be examined separately.

    All details and background

    For example, protocols, metrics and execution traces show model calls, runtimes and errors. Additional evaluations are necessary for substantive response quality.

    ELI5 – Explained simply

    A diagnostic window shows you what happened in the AI tool.

    Why it matters in practice

    Supports error analysis and comparison of changes in operation.

    Example

    Example scenario: A team examines slow responses and detects which model call is causing the delay.

    Pitfalls and limits

    • Fully log sensitive prompts; equate technical availability with response quality; collect data without evaluation.

    Origin & history

    OpenTelemetry develops special conventions for operational data of generative AI, including spans, metrics and events.

    Use in mid-sized companies

    • Define necessary measurement data, limit accesses and incorporate insights into operational decisions.

    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 casesOpenTelemetry; Use Case: Diagnosing Model Calls

    Sources

    Quellenprüfung: 09.10.2026. Die Quellen belegen Definition und dokumentierte Einordnung; Anwendungsbeispiele sind mögliche Szenarien.

    Editorially reviewed on:

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