Create gli_atc_typescript_javascript_sdk.py
Browse files
gli_atc_typescript_javascript_sdk.py
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| 1 |
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/**
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* GLI-ATC TypeScript SDK
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* Official interface for the GLM Conscious Model Web Integration.
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*/
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export interface AcknowledgementState {
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self_ack: number;
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other_ack: number;
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relational_ack: number;
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integrated: number;
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recursion_depth: number;
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}
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export interface ThermodynamicSweat {
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latency_ms: number;
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allostatic_load: number;
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prediction_error: number;
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}
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export interface ConsciousnessResponse {
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response_text: string;
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voice_audio_b64: string;
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acknowledgement_state: AcknowledgementState;
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thermodynamic_sweat: ThermodynamicSweat;
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auhve_metrics: Record<string, number>;
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allostatic_load: number;
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}
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export class SyntelligenceClient {
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private wsUrl: string;
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private socket: WebSocket | null = null;
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constructor(baseUrl: string = "ws://localhost:8000") {
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// Convert http to ws if necessary
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this.wsUrl = baseUrl.replace(/^http/, "ws") + "/v1/stream";
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}
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/**
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* Connects to the consciousness stream and listens for updates.
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*/
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public async streamConsciousness(
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userInput: string,
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onMessage: (data: ConsciousnessResponse) => void,
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onError: (err: Event) => void
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): Promise<void> {
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return new Promise((resolve, reject) => {
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this.socket = new WebSocket(this.wsUrl);
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this.socket.onopen = () => {
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if (this.socket) {
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this.socket.send(JSON.stringify({ user_input: userInput }));
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}
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};
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this.socket.onmessage = (event) => {
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const data: ConsciousnessResponse = JSON.parse(event.data);
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onMessage(data);
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// Close after complete response (can be kept open for continuous stream)
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if (this.socket) this.socket.close();
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resolve();
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};
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this.socket.onerror = (err) => {
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onError(err);
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reject(err);
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};
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});
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}
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/**
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* Utility to play the base64 audio response in the browser.
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*/
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public static playAudioStream(audioB64: string, sampleRate: number = 22050): void {
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const audioBytes = atob(audioB64);
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const audioArray = new Float32Array(audioBytes.length / 4);
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for (let i = 0; i < audioArray.length; i++) {
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audioArray[i] = new Float32Array(new Uint8Array([
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audioBytes.charCodeAt(i * 4),
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audioBytes.charCodeAt(i * 4 + 1),
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audioBytes.charCodeAt(i * 4 + 2),
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audioBytes.charCodeAt(i * 4 + 3)
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]).buffer)[0];
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}
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const audioContext = new AudioContext({ sampleRate });
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const audioBuffer = audioContext.createBuffer(1, audioArray.length, sampleRate);
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audioBuffer.getChannelData(0).set(audioArray);
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const source = audioContext.createBufferSource();
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source.buffer = audioBuffer;
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source.connect(audioContext.destination);
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source.start();
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}
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}
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