Observe the task across components
A runtime operation may include model calls, retrieval, tools, approvals and external services. Observing only the final response hides where time and authority were consumed. OpenTelemetry describes semantic conventions as shared names and meanings for operations and data. Consistent instrumentation can make cross-component analysis easier, but the conventions do not create complete visibility automatically. Decide which questions operators need to answer and identify the components capable of observing the relevant facts before collecting more telemetry or promising an exhaustive execution history.
Separate timing, resource use and task quality
A short response time does not prove a correct outcome, and high token throughput does not establish that the user’s task was useful. Track service measures appropriate to the workflow, including failures and unfinished work. OpenTelemetry’s GenAI guidance discusses model identity and token counts, with detailed content capture treated as an explicit choice. Define units, timing boundaries and success criteria. Otherwise, two dashboards may appear to disagree simply because one counts model calls while another counts complete tasks or external actions.
Record authority decisions independently
OWASP recommends structured metadata for high-impact operations, including authorization outcomes, approval identifiers, execution results and policy versions. Those records should come from the relevant enforcement or execution components. A model-generated explanation is not equivalent to their observation. Distinguish proposed actions, denials, submissions and confirmed results. This helps reviewers understand whether an application failed because it lacked authority, encountered an unavailable tool or lost track of an action that might already have completed elsewhere.
Minimize sensitive content
Prompts, tool parameters and responses can expose personal information, credentials or confidential business data. Do not assume that more content always improves investigation. Use proportionate metadata, access controls, retention and redaction. OpenTelemetry notes that full prompt and tool content can be captured when opted in, which should be treated as a deliberate data-handling decision. Review exports and support copies as well as the main observability platform. An encrypted primary store does not establish appropriate access or retention across every downstream system.
Version instrumentation and interpretation
GenAI instrumentation evolves; the OpenTelemetry documentation notes that related conventions have moved to a dedicated repository. Check the current status and versions rather than assuming an old attribute example remains the only correct implementation. Record relevant runtime, model and policy versions alongside events. Keep analysis robust to known differences between providers. Shared names help only when the implementation also respects the intended meaning, and adopting a convention does not validate that every emitted value is accurate or complete.
Connect signals to an operational action
Define who investigates meaningful alerts and what decision the evidence can support. Test whether necessary records remain available during selected failures. Review noise, gaps and investigation effort after deployment. A useful runtime observability program helps locate a fault, explain a boundary decision or verify a recovery step. It is not measured by the number of charts. The strongest instrumentation supports accountable operation without treating every interaction as justification to retain unlimited content or claiming that telemetry alone proves a service is trustworthy.
Worked scenario: a slow task with a successful model call
An operator sees that a model responded quickly, yet the user’s task took much longer. Tracing should help distinguish retrieval, approval waiting, queueing and tool execution rather than blaming the model by default. Use appropriate correlation and timing records without copying the entire conversation into every span. This hypothetical investigation illustrates the difference between a fast component and a responsive service. The practical acceptance question is whether the operating team can locate the delay and take a justified action, not whether the dashboard contains a large number of attributes.
