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feat(voice): voice core — honest layer reach, spoken summary with on-screen card, narration, point-and-ask
- Voice layer manifest (src/voice/layerManifest.js) generates the layer enums, aliases and analyst field hints; a test fails when a catalog layer has no entry. - analyst_query validates fields, operators, units, values and scopes, counts up to 250,000 loaded records per layer, reports complete/partial/unanswered, tells LAYER_OFF / NOT_READY / FEED_UNAVAILABLE apart from zero, refuses mismatched follow-ups and never lets a superseded query replace follow-up memory. Seven more layers expose analyst records. - Tool results carry a code-built say line and a display card; the voice card in the mic control shows captions, plan steps and the result (src/voice/resultDisplay.js is the one adapter). Slow tools narrate their current step out of band; holding Space while the assistant talks cuts it off. Turn spans go to the debug log; caption transcription is metered; the log omits what was said unless GEV_VOICE_LOG_CONTENT=1. - Point and ask: the Space-down pointer snapshot resolves "this", "that one" and "around here" through 'pointer' targets, and "the second one" through referent:n from the last numbered list. - Prompt states each policy once (instructions + tools 48.5k -> 46.7k chars). - Voice benchmark harness (scripts/qa-voice-bench.mjs, scripts/voice-bench/) shares its phrase table and grading with scripts/qa-voice-routing.mjs.
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@@ -21,6 +21,7 @@ import { openAiRealtimeProxy } from 'gods-eye-view/server/providers/openai';
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import { keySetupEndpoint } from 'gods-eye-view/server/standalone/key-setup';
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import { realtimeInstructions } from '../../server/providers/openai/instructions.js';
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import { GEV_REALTIME_TOOLS } from '../../server/providers/openai/tools.js';
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import { createDebugLogHandler } from '../../server/providers/openai/debug-log.js';
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function install(plugin, preview = false) {
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const routes = new Map();
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@@ -195,6 +196,30 @@ test('Realtime handler preserves tools and default instructions, isolates suppli
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assert.equal(sent[0].session.instructions, sent[2].session.instructions);
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});
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test('caption transcription is on by default, reported to the client meter, and can be turned off', async (t) => {
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env(t, 'OPENAI_API_KEY', 'fixture-upstream-secret');
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env(t, 'GEV_RATELIMIT_OPENAI_PER_MIN', undefined);
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const sent = [];
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t.mock.method(globalThis, 'fetch', async (url, options) => {
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sent.push(JSON.parse(options.body));
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return Response.json({ value: 'fixture-ephemeral' });
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});
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for (const [setting, expected] of [
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[undefined, 'gpt-4o-mini-transcribe'],
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['off', 'off'],
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]) {
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env(t, 'OPENAI_REALTIME_TRANSCRIBE_MODEL', setting);
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const response = await request(
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install(openAiRealtimeProxy()).get('/api/realtime/token'),
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);
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assert.equal(response.headers['x-gev-voice-transcribe-model'], expected);
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assert.equal(
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sent.at(-1).session.audio.input.transcription?.model ?? 'off',
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expected,
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);
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}
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});
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test('debug logging resolves each supplied application directory independently', async (t) => {
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const first = root(t),
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second = root(t);
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@@ -339,6 +364,40 @@ test('OpenAI routes answer generically when the upstream or the request fails',
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assert.equal(token.body.includes('fixture-upstream-secret'), false);
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});
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test('the debug-log sink omits what people said unless content logging is enabled', async (t) => {
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const record = {
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event: 'server.event',
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payload: {
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type: 'conversation.item.input_audio_transcription.completed',
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transcript: 'my home address is 12 Elm Street',
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usage: { input_tokens: 40 },
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nested: [{ type: 'input_text', text: 'call my sister' }],
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},
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span: { answer_text: 'Flying to Tokyo.', answer_words: 3 },
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};
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for (const includeContent of [false, true]) {
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const sourceRoot = root(t);
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const handler = createDebugLogHandler({ sourceRoot, includeContent });
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const response = await request(handler, {
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method: 'POST',
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body: JSON.stringify(record),
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});
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assert.equal(response.status, 204);
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const logged = readFileSync(
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path.join(sourceRoot, '.gev-logs/realtime-conversations.jsonl'),
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'utf8',
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);
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assert.equal(logged.includes('Elm Street'), includeContent);
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assert.equal(logged.includes('call my sister'), includeContent);
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assert.equal(logged.includes('Flying to Tokyo'), includeContent);
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const parsed = JSON.parse(logged);
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assert.equal(parsed.payload.usage.input_tokens, 40, 'numbers stay');
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assert.equal(parsed.span.answer_words, 3);
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if (!includeContent)
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assert.equal(parsed.payload.transcript, '[omitted 32 chars]');
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}
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});
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test('the debug-log sink stays bounded, rate limited, and quiet about failures', async (t) => {
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const sourceRoot = root(t);
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const handler = install(openAiRealtimeProxy({ sourceRoot })).get(
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