{
  "notice": "Illustrative mapping from the AI Governance Engineer Body of Knowledge v0.5.0 (not a claim of conformity)",
  "version": "0.5.0",
  "license": "CC BY 4.0",
  "licenseUrl": "https://creativecommons.org/licenses/by/4.0/",
  "schemaVersion": 1,
  "schema": "https://aigovernanceengineer.com/api/v1/schemas/control.json",
  "self": "https://aigovernanceengineer.com/api/v1/controls/aige-ctl-agent-029.json",
  "source": "https://aigovernanceengineer.com/controls/agent-runtime#aige-ctl-agent-029",
  "citation": {
    "title": "AI Governance Engineering: The Thesis & Body of Knowledge",
    "authors": [
      "Jorge García Aibar"
    ],
    "parentDoi": "https://doi.org/10.5281/zenodo.22956197",
    "conceptDoi": "https://doi.org/10.5281/zenodo.22857084"
  },
  "control": {
    "id": "AIGE-CTL-AGENT-029",
    "profile": "agent-runtime",
    "url": "https://aigovernanceengineer.com/controls/agent-runtime#aige-ctl-agent-029",
    "json": "https://aigovernanceengineer.com/api/v1/controls/aige-ctl-agent-029.json",
    "title": "Telemetry on the OpenTelemetry GenAI conventions",
    "version": "0.2",
    "status": "draft",
    "reviewerStatus": "open",
    "depth": "derived",
    "objective": "The agent emits agent and tool spans on the OpenTelemetry GenAI conventions (execute_tool, gen_ai.agent.id, gen_ai.agent.version), with registry id, workload identity, policy verdict, approval id and delegation chain in your own namespace, and argument capture has its own retention and access rules.",
    "failureModes": [
      "A tool call leaves no execute_tool span, or its span lacks the agent id and version.",
      "A span lacks the registry id, workload identity, policy verdict, approval id or delegation chain, so the action cannot be tied to its authority.",
      "Captured tool arguments and results, which may hold personal data, fall under the general trace retention and access rules."
    ],
    "scope": "Every agent that calls tools, in production or in an evaluation harness.",
    "enforcementPoints": [
      "runtime"
    ],
    "verification": [],
    "evidence": [
      {
        "artefact": "Spans per call; the fields in your namespace",
        "schemaId": null,
        "schema": null,
        "layer": 5
      }
    ],
    "failureResponse": {
      "effect": "alert",
      "text": "To be specified."
    },
    "layer": 5,
    "secondaryLayers": [],
    "patterns": [],
    "seeds": [
      {
        "id": "otel-telemetry",
        "title": "Telemetry on the OpenTelemetry GenAI conventions",
        "url": "https://aigovernanceengineer.com/bok/governing-agents#telemetry-with-the-opentelemetry-genai-conventions"
      }
    ],
    "derivedFrom": [],
    "mappings": {
      "obligations": [],
      "iso42001": [],
      "nistAiRmf": [],
      "owasp": [],
      "atlas": [],
      "aiuc1": [
        "E015"
      ],
      "csaAicm": [],
      "other": [
        {
          "framework": "IMDA MGF for Agentic AI v1.5",
          "ref": "2.3.3 Continuous testing and monitoring, p.44",
          "note": "Direct fit: IMDA names OpenTelemetry for tracing tool calls"
        }
      ]
    },
    "references": [
      {
        "n": 7,
        "title": "Governing AI agents",
        "text": "Governing AI agents (AI Governance Engineering Body of Knowledge v0.5.0, chapter 23, section \"Telemetry with the OpenTelemetry GenAI conventions\"). AI Governance Engineer (Jorge García Aibar). 2026-09.",
        "url": "https://aigovernanceengineer.com/bok/governing-agents#telemetry-with-the-opentelemetry-genai-conventions",
        "verified": "primary"
      },
      {
        "n": 9,
        "title": "AIUC-1 requirements",
        "text": "AIUC-1 requirements (public requirement index, A001 to F002, each requirement on its own page (E007 and E014 marked retired); AIUC-1 is a standard of the Artificial Intelligence Underwriting Company; this site is not affiliated with AIUC, and a mapping here is not an AIUC-1 certificate or audit). Artificial Intelligence Underwriting Company. 2026-09-24.",
        "url": "https://standard.aiuc-1.com/llms.txt",
        "verified": "primary"
      },
      {
        "n": 4,
        "title": "Model AI Governance Framework for Agentic AI, v1.5",
        "text": "Model AI Governance Framework for Agentic AI, v1.5 (published 2026-05-20, updated 2026-06-05; four dimensions: assess and bound the risks upfront, make humans meaningfully accountable, implement technical controls and processes, enable end-user responsibility). IMDA. 2026-06-05.",
        "url": "https://www.imda.gov.sg/-/media/imda/files/about/emerging-tech-and-research/artificial-intelligence/mgf-for-agentic-ai.pdf",
        "verified": "primary"
      }
    ],
    "implementationNotes": [
      "The GenAI conventions are in Development status and names can still change; keep the governance fields in your own namespace and map them later."
    ],
    "openQuestions": [
      "Verification procedure and evidence schema to be specified; requires technical review."
    ],
    "observation": null,
    "observationSchema": "https://aigovernanceengineer.com/schemas/control-observation.v1.json",
    "examples": []
  }
}