import { test } from "bun:test"; import assert from "node:assert/strict"; import { RuntimeActionLogger, formatPrettyLine, normalizeRuntimeActionEvent } from "./runtimeActionLogger.ts";

test("normalizeRuntimeActionEvent redacts secrets but keeps operational keys", () => { const event = normalizeRuntimeActionEvent({ kind: "voice_runtime", content: "voice_turn_addressing", metadata: { apiKey: "secret-key-value", nested: { authorization: "Bearer abc", ok: "safe" }, rows: [{ token: "xyz" }], sessionId: "sess-123", tokens: 245 } });

assert.equal(event.kind, "voice_runtime"); assert.equal(event.agent, "voice"); assert.equal(event.metadata.apiKey, "[REDACTED]"); assert.equal(event.metadata.nested.authorization, "[REDACTED]"); assert.equal(event.metadata.nested.ok, "safe"); assert.equal(event.metadata.rows[0].token, "xyz"); assert.equal(event.metadata.sessionId, "sess-123"); assert.equal(event.metadata.tokens, 245); });

test("RuntimeActionLogger.attachToStore preserves prior listener and emits JSON line", () => { const lines = []; const priorActions = []; const logger = new RuntimeActionLogger({ enabled: true, writeToStdout: false, logFilePath: "", writeLine(line) { lines.push(line); } });

const store = { onActionLogged(action) { priorActions.push(action); } }; logger.attachToStore(store);

store.onActionLogged({ createdAt: "2026-03-01T10:11:12.000Z", kind: "bot_runtime", content: "runtime_started", metadata: { agent: "main" } });

assert.equal(priorActions.length, 1); assert.equal(lines.length, 1);

const parsed = JSON.parse(lines[0]); assert.equal(parsed.ts, "2026-03-01T10:11:12.000Z"); assert.equal(parsed.kind, "bot_runtime"); assert.equal(parsed.event, "runtime_started"); assert.equal(parsed.agent, "main");

logger.close(); });

test("formatPrettyLine keeps speech and debugging context visible", () => { const line = formatPrettyLine({ ts: "2026-03-01T10:11:12.000Z", level: "info", kind: "voice_runtime", event: "openai_realtime_transcript", agent: "voice", usd_cost: 0, metadata: { sessionId: "sess-123", transcript: "yeah for sure, what do you want me to look up?", transcriptSource: "output" } });

assert.match(line, /openai_realtime_transcript/); assert.match(line, /said/); assert.match(line, /yeah for sure, what do you want me to look up?/); });

test("formatPrettyLine surfaces drop reasons and signal metrics for provisional captures", () => { const line = formatPrettyLine({ ts: "2026-03-01T10:11:12.000Z", level: "info", kind: "voice_runtime", event: "voice_turn_dropped_provisional_capture", agent: "voice", usd_cost: 0, metadata: { sessionId: "sess-123", reason: "near_silence_early_abort", peak: 0.009, rms: 0.001, activeSampleRatio: 0.004 } });

assert.match(line, /voice_turn_dropped_provisional_capture/); assert.match(line, /near_silence_early_abort/); assert.match(line, /peak=/); assert.match(line, /rms=/); assert.match(line, /active=/); });

test("formatPrettyLine shows high precision for tiny usd costs", () => { const line = formatPrettyLine({ ts: "2026-03-01T10:11:12.000Z", level: "info", kind: "memory_embedding_call", event: "text-embedding-3-small", agent: "memory", usd_cost: 0.00000156, metadata: { traceSource: "memory_user_ingest" } });

assert.match(line, /$0.00000156/); });