103 lines
4.2 KiB
JavaScript
103 lines
4.2 KiB
JavaScript
"use strict";
|
|
Object.defineProperty(exports, "__esModule", { value: true });
|
|
exports.OpenAIRealtimeWebSocket = void 0;
|
|
const index_1 = require("../../index.js");
|
|
const error_1 = require("../../error.js");
|
|
const internal_base_1 = require("./internal-base.js");
|
|
const detect_platform_1 = require("../../internal/detect-platform.js");
|
|
class OpenAIRealtimeWebSocket extends internal_base_1.OpenAIRealtimeEmitter {
|
|
constructor(props, client) {
|
|
super();
|
|
const dangerouslyAllowBrowser = props.dangerouslyAllowBrowser ??
|
|
client?._options?.dangerouslyAllowBrowser ??
|
|
(client?.apiKey.startsWith('ek_') ? true : null);
|
|
if (!dangerouslyAllowBrowser && (0, detect_platform_1.isRunningInBrowser)()) {
|
|
throw new error_1.OpenAIError("It looks like you're running in a browser-like environment.\n\nThis is disabled by default, as it risks exposing your secret API credentials to attackers.\n\nYou can avoid this error by creating an ephemeral session token:\nhttps://platform.openai.com/docs/api-reference/realtime-sessions\n");
|
|
}
|
|
client ?? (client = new index_1.OpenAI({ dangerouslyAllowBrowser }));
|
|
this.url = (0, internal_base_1.buildRealtimeURL)(client, props.model);
|
|
props.onURL?.(this.url);
|
|
// @ts-ignore
|
|
this.socket = new WebSocket(this.url.toString(), [
|
|
'realtime',
|
|
...((0, internal_base_1.isAzure)(client) ? [] : [`openai-insecure-api-key.${client.apiKey}`]),
|
|
'openai-beta.realtime-v1',
|
|
]);
|
|
this.socket.addEventListener('message', (websocketEvent) => {
|
|
const event = (() => {
|
|
try {
|
|
return JSON.parse(websocketEvent.data.toString());
|
|
}
|
|
catch (err) {
|
|
this._onError(null, 'could not parse websocket event', err);
|
|
return null;
|
|
}
|
|
})();
|
|
if (event) {
|
|
this._emit('event', event);
|
|
if (event.type === 'error') {
|
|
this._onError(event);
|
|
}
|
|
else {
|
|
// @ts-expect-error TS isn't smart enough to get the relationship right here
|
|
this._emit(event.type, event);
|
|
}
|
|
}
|
|
});
|
|
this.socket.addEventListener('error', (event) => {
|
|
this._onError(null, event.message, null);
|
|
});
|
|
if ((0, internal_base_1.isAzure)(client)) {
|
|
if (this.url.searchParams.get('Authorization') !== null) {
|
|
this.url.searchParams.set('Authorization', '<REDACTED>');
|
|
}
|
|
else {
|
|
this.url.searchParams.set('api-key', '<REDACTED>');
|
|
}
|
|
}
|
|
}
|
|
static async azure(client, options = {}) {
|
|
const token = await client._getAzureADToken();
|
|
function onURL(url) {
|
|
if (client.apiKey !== '<Missing Key>') {
|
|
url.searchParams.set('api-key', client.apiKey);
|
|
}
|
|
else {
|
|
if (token) {
|
|
url.searchParams.set('Authorization', `Bearer ${token}`);
|
|
}
|
|
else {
|
|
throw new Error('AzureOpenAI is not instantiated correctly. No API key or token provided.');
|
|
}
|
|
}
|
|
}
|
|
const deploymentName = options.deploymentName ?? client.deploymentName;
|
|
if (!deploymentName) {
|
|
throw new Error('No deployment name provided');
|
|
}
|
|
const { dangerouslyAllowBrowser } = options;
|
|
return new OpenAIRealtimeWebSocket({
|
|
model: deploymentName,
|
|
onURL,
|
|
...(dangerouslyAllowBrowser ? { dangerouslyAllowBrowser } : {}),
|
|
}, client);
|
|
}
|
|
send(event) {
|
|
try {
|
|
this.socket.send(JSON.stringify(event));
|
|
}
|
|
catch (err) {
|
|
this._onError(null, 'could not send data', err);
|
|
}
|
|
}
|
|
close(props) {
|
|
try {
|
|
this.socket.close(props?.code ?? 1000, props?.reason ?? 'OK');
|
|
}
|
|
catch (err) {
|
|
this._onError(null, 'could not close the connection', err);
|
|
}
|
|
}
|
|
}
|
|
exports.OpenAIRealtimeWebSocket = OpenAIRealtimeWebSocket;
|
|
//# sourceMappingURL=websocket.js.map
|