- Diagnostics/OTEL: add GenAI usage token attributes to model-usage spans, including cache read/write input token counts without session identifiers or prompt/response content. Thanks @vincentkoc.

- Diagnostics/OTEL: include bounded GenAI operation, provider, and request-model attributes on model-usage spans so token usage remains self-describing without diagnostic identifiers. Thanks @vincentkoc.

- Diagnostics/OTEL: keep model-usage span GenAI provider attributes aligned with the existing semantic-convention opt-in policy, using legacy `gen_ai.system` unless latest experimental GenAI conventions are enabled. Thanks @vincentkoc.

- Diagnostics/OTEL: keep `gen_ai.request.model` present on GenAI token usage metrics with a bounded `unknown` fallback when model usage events do not include a model. Thanks @vincentkoc.

- Diagnostics/OTEL: add bounded outbound message delivery lifecycle diagnostics and export them as low-cardinality delivery spans/metrics without message body, recipient, room, or media-path data. (#71471) Thanks @vincentkoc and @jlapenna.

- Diagnostics/OTEL: emit bounded exec-process diagnostics and export them as `openclaw.exec` spans without exposing command text, working directories, or container identifiers. (#71451) Thanks @vincentkoc and @jlapenna.

- Diagnostics/OTEL: support `OPENCLAW_OTEL_PRELOADED=1` so the plugin can reuse an already-registered OpenTelemetry SDK while keeping OpenClaw diagnostic listeners wired. (#71450) Thanks @vincentkoc and @jlapenna.

await service.stop?.(ctx);

});

test("keeps GenAI token usage metric model attribute present when model is unavailable", async () => {

const service = createDiagnosticsOtelService();

const ctx = createOtelContext(OTEL_TEST_ENDPOINT, { metrics: true });

await service.start(ctx);

emitDiagnosticEvent({

type: "model.usage",

provider: "openai",

usage: { input: 2 },

});

await flushDiagnosticEvents();

expect(telemetryState.histograms.get("gen_ai.client.token.usage")?.record).toHaveBeenCalledWith(

2,

{

"gen_ai.operation.name": "chat",

"gen_ai.provider.name": "openai",

"gen_ai.request.model": "unknown",

"gen_ai.token.type": "input",

},

);

await service.stop?.(ctx);

});

test("exports GenAI usage attributes on model usage spans without diagnostic identifiers", async () => {

const service = createDiagnosticsOtelService();

const ctx = createOtelContext(OTEL_TEST_ENDPOINT, { traces: true });

const genAiAttrs: Record<string, string> = {

"gen_ai.operation.name": "chat",

"gen_ai.provider.name": lowCardinalityAttr(evt.provider),

...(evt.model ? { "gen_ai.request.model": lowCardinalityAttr(evt.model) } : {}),

"gen_ai.request.model": lowCardinalityAttr(evt.model),

};

const usage = evt.usage;