Files
gods-eye-view/server/providers/openai/realtime.js
T

162 lines
5.2 KiB
JavaScript

import { enforceOptInRateLimit, openAiRateLimiter } from './rate-limit.js';
import {
resolveVoiceModel,
isKnownVoiceTier,
} from '../../../src/voice/voiceCost.js';
import {
OPENAI_REALTIME_MODEL_MINI_DEFAULT,
OPENAI_REALTIME_MODEL_DEFAULT,
OPENAI_REALTIME_VOICE_DEFAULT,
OPENAI_REALTIME_REASONING_DEFAULT,
OPENAI_REALTIME_CONTEXT_TOKENS_DEFAULT,
OPENAI_REALTIME_CONTEXT_RETENTION_DEFAULT,
} from './constants.js';
import { realtimeInstructions } from './instructions.js';
import { GEV_REALTIME_TOOLS } from './tools.js';
function createRealtimeTokenHandler({
annotationGuidance,
endpoint = 'https://api.openai.com/v1/realtime/client_secrets',
fetchImpl = (...args) => fetch(...args),
resolveApiKey = () => process.env.OPENAI_API_KEY,
models = {},
} = {}) {
return async (req, res) => {
res.setHeader('Cache-Control', 'no-store');
if (req.method !== 'GET' && req.method !== 'POST') {
res.statusCode = 405;
res.setHeader('Content-Type', 'application/json');
res.end(JSON.stringify({ error: 'Method not allowed' }));
return;
}
// Opt-in per-IP throttle (GEV_RATELIMIT_OPENAI_PER_MIN). No-op when unset.
if (!enforceOptInRateLimit(openAiRateLimiter(), req, res)) return;
const apiKey = resolveApiKey();
if (!apiKey) {
res.statusCode = 503;
res.setHeader('Content-Type', 'application/json');
res.end(JSON.stringify({ error: 'OPENAI_API_KEY is not set' }));
return;
}
// Voice model tier, requested by the client as ?tier=standard|mini.
// resolveVoiceModel is total: an unknown, empty, or hostile value
// resolves to `standard` instead of reaching OpenAI as a model id, so a
// bad querystring degrades to a normal session rather than a dead mic.
// The env overrides stay authoritative per tier (see .env.example) —
// a wrong upstream model id is then a config fix, not a code change.
const requestedTier = (() => {
try {
return new URL(req.url || '', 'http://localhost').searchParams.get(
'tier',
);
} catch {
return null;
}
})();
const tier = resolveVoiceModel(requestedTier).tier;
const model =
tier === 'mini'
? models.mini ||
process.env.OPENAI_REALTIME_MODEL_MINI ||
OPENAI_REALTIME_MODEL_MINI_DEFAULT
: models.standard ||
process.env.OPENAI_REALTIME_MODEL ||
OPENAI_REALTIME_MODEL_DEFAULT;
const voice =
process.env.OPENAI_REALTIME_VOICE || OPENAI_REALTIME_VOICE_DEFAULT;
const effort =
process.env.OPENAI_REALTIME_REASONING_EFFORT ||
OPENAI_REALTIME_REASONING_DEFAULT;
const contextTokenLimit = Math.round(
Math.max(
1000,
Math.min(
12000,
Number(process.env.OPENAI_REALTIME_CONTEXT_TOKENS) ||
OPENAI_REALTIME_CONTEXT_TOKENS_DEFAULT,
),
),
);
const contextRetentionRatio = Math.max(
0.1,
Math.min(
1,
Number(process.env.OPENAI_REALTIME_CONTEXT_RETENTION) ||
OPENAI_REALTIME_CONTEXT_RETENTION_DEFAULT,
),
);
const sessionConfig = {
session: {
type: 'realtime',
model,
reasoning: { effort },
truncation: {
type: 'retention_ratio',
retention_ratio: contextRetentionRatio,
token_limits: {
post_instructions: contextTokenLimit,
},
},
audio: {
input: {
noise_reduction: { type: 'near_field' },
turn_detection: {
type: 'semantic_vad',
eagerness: 'low',
create_response: true,
interrupt_response: false,
},
},
output: { voice },
},
instructions: realtimeInstructions(annotationGuidance),
tools: GEV_REALTIME_TOOLS,
tool_choice: 'auto',
},
};
try {
const response = await fetchImpl(endpoint, {
method: 'POST',
redirect: 'error',
signal: AbortSignal.timeout(30_000),
headers: {
Authorization: `Bearer ${apiKey}`,
'Content-Type': 'application/json',
'OpenAI-Safety-Identifier': 'gev-local-dev',
},
body: JSON.stringify(sessionConfig),
});
const body = await response.text();
res.statusCode = response.status;
res.setHeader(
'Content-Type',
response.headers.get('content-type') || 'application/json',
);
// Which tier/model this secret was actually minted for. The upstream
// body is passed through untouched (the client parses it verbatim), so
// these headers are the authoritative echo — including the case where a
// bogus ?tier= was silently downgraded to standard.
res.setHeader('X-GEV-Voice-Tier', tier);
res.setHeader('X-GEV-Voice-Model', model);
if (requestedTier && !isKnownVoiceTier(requestedTier)) {
res.setHeader('X-GEV-Voice-Tier-Fallback', '1');
}
res.end(body);
} catch (error) {
res.statusCode = 502;
res.setHeader('Content-Type', 'application/json');
res.end(
JSON.stringify({
error: error?.message || 'Failed to create Realtime token',
}),
);
}
};
}
export { createRealtimeTokenHandler };