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Bilawal Sidhu
a19897ad15
- 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tells LAYER_OFF / NOT_READY / FEED_UNAVAILABLE apart from zero, refuses mismatched follow-ups and never lets a superseded query replace follow-up memory.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.
37 lines
1.5 KiB
JavaScript
37 lines
1.5 KiB
JavaScript
/**
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* Capture the exact Realtime session config production mints.
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*
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* Rather than re-typing the session fields, this drives the production token
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* handler (`server/providers/openai/realtime.js`) with a fake upstream fetch
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* and returns the body it would have POSTed to OpenAI. Instructions, tools,
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* tool_choice, reasoning, and truncation therefore cannot drift from what a
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* real GEV mic session receives.
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*/
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import { createRealtimeTokenHandler } from '../../server/providers/openai/realtime.js';
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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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export { realtimeInstructions, GEV_REALTIME_TOOLS };
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/** Return production's `{ session: {...} }` client-secret body for `model`. */
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export async function captureProductionSession(model) {
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let captured = null;
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const handler = createRealtimeTokenHandler({
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resolveApiKey: () => 'bench-placeholder',
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models: { standard: model, mini: model },
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fetchImpl: async (_url, init) => {
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captured = JSON.parse(init.body);
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return new Response('{}', { status: 200, headers: { 'content-type': 'application/json' } });
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},
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});
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const res = {
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statusCode: 0,
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headers: {},
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setHeader(k, v) { this.headers[k] = v; },
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end() {},
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};
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await handler({ method: 'POST', url: '/api/realtime/token', headers: {}, socket: {} }, res);
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if (!captured?.session) throw new Error('production token handler did not produce a session config');
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return captured.session;
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}
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