Files
zclaw_openfang/desktop/src/lib/embedding-client.ts
iven f79560a911 refactor(desktop): split kernel_commands/pipeline_commands into modules, add SaaS client libs and gateway modules
Split monolithic kernel_commands.rs (2185 lines) and pipeline_commands.rs (1391 lines)
into focused sub-modules under kernel_commands/ and pipeline_commands/ directories.
Add gateway module (commands, config, io, runtime), health_check, and 15 new
TypeScript client libraries for SaaS relay, auth, admin, telemetry, and kernel
sub-systems (a2a, agent, chat, hands, skills, triggers).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-31 11:12:47 +08:00

230 lines
6.2 KiB
TypeScript

/**
* Embedding Client - Vector Embedding Operations
*
* Client for interacting with embedding APIs via Tauri backend.
* Supports multiple providers: OpenAI, Zhipu, Doubao, Qwen, DeepSeek.
*/
import { invoke } from '@tauri-apps/api/core';
import { secureStorage } from './secure-storage';
import { createLogger } from './logger';
const logger = createLogger('embedding-client');
export interface EmbeddingConfig {
provider: string;
model: string;
apiKey: string;
endpoint: string;
enabled: boolean;
}
export interface EmbeddingResponse {
embedding: number[];
model: string;
usage?: {
prompt_tokens: number;
total_tokens: number;
};
}
export interface EmbeddingProvider {
id: string;
name: string;
defaultModel: string;
dimensions: number;
}
const EMBEDDING_STORAGE_KEY = 'zclaw-embedding-config';
const EMBEDDING_KEY_SECURE = 'zclaw-secure-embedding-apikey';
/**
* Load embedding config from localStorage. apiKey is NOT included;
* use loadEmbeddingApiKey() to retrieve it from secure storage.
*/
export function loadEmbeddingConfig(): EmbeddingConfig {
try {
const stored = localStorage.getItem(EMBEDDING_STORAGE_KEY);
if (stored) {
const parsed = JSON.parse(stored);
return { ...parsed, apiKey: '' };
}
} catch (e) {
logger.debug('Failed to load embedding config', { error: e });
}
return {
provider: 'local',
model: 'tfidf',
apiKey: '',
endpoint: '',
enabled: false,
};
}
/**
* Save embedding config to localStorage. API key is NOT saved here;
* use saveEmbeddingApiKey() separately.
*/
export function saveEmbeddingConfig(config: EmbeddingConfig): void {
try {
const { apiKey: _, ...rest } = config;
localStorage.setItem(EMBEDDING_STORAGE_KEY, JSON.stringify(rest));
} catch (e) {
logger.debug('Failed to save embedding config', { error: e });
}
}
/**
* Load embedding API key from secure storage.
*/
export async function loadEmbeddingApiKey(): Promise<string | null> {
return secureStorage.get(EMBEDDING_KEY_SECURE);
}
/**
* Save embedding API key to secure storage.
*/
export async function saveEmbeddingApiKey(apiKey: string): Promise<void> {
if (!apiKey.trim()) {
await secureStorage.delete(EMBEDDING_KEY_SECURE);
return;
}
await secureStorage.set(EMBEDDING_KEY_SECURE, apiKey.trim());
}
export async function getEmbeddingProviders(): Promise<EmbeddingProvider[]> {
const result = await invoke<[string, string, string, number][]>('embedding_providers');
return result.map(([id, name, defaultModel, dimensions]) => ({
id,
name,
defaultModel,
dimensions,
}));
}
export async function createEmbedding(
text: string,
config?: Partial<EmbeddingConfig>
): Promise<EmbeddingResponse> {
const savedConfig = loadEmbeddingConfig();
const provider = config?.provider ?? savedConfig.provider;
// Resolve apiKey: use explicit config value, then secure storage, then empty
const explicitKey = config?.apiKey?.trim();
const apiKey = explicitKey || await loadEmbeddingApiKey() || '';
const model = config?.model ?? savedConfig.model;
const endpoint = config?.endpoint ?? savedConfig.endpoint;
if (provider === 'local') {
throw new Error('Local TF-IDF mode does not support API embedding');
}
if (!apiKey) {
throw new Error('API Key is required for embedding');
}
return invoke<EmbeddingResponse>('embedding_create', {
provider,
apiKey,
text,
model: model || undefined,
endpoint: endpoint || undefined,
});
}
export async function createEmbeddings(
texts: string[],
config?: Partial<EmbeddingConfig>
): Promise<EmbeddingResponse[]> {
const results: EmbeddingResponse[] = [];
for (const text of texts) {
const result = await createEmbedding(text, config);
results.push(result);
}
return results;
}
export function cosineSimilarity(a: number[], b: number[]): number {
if (a.length !== b.length) {
throw new Error('Vectors must have the same length');
}
let dotProduct = 0;
let normA = 0;
let normB = 0;
for (let i = 0; i < a.length; i++) {
dotProduct += a[i] * b[i];
normA += a[i] * a[i];
normB += b[i] * b[i];
}
const denom = Math.sqrt(normA * normB);
if (denom === 0) {
return 0;
}
return dotProduct / denom;
}
export class EmbeddingClient {
private config: EmbeddingConfig;
constructor(config?: EmbeddingConfig) {
this.config = config ?? loadEmbeddingConfig();
// If no explicit apiKey was provided and config was loaded from localStorage,
// the apiKey will be empty. It will be resolved from secure storage lazily.
}
get isApiMode(): boolean {
return this.config.provider !== 'local' && this.config.enabled && !!this.config.apiKey;
}
async embed(text: string): Promise<number[]> {
// Resolve apiKey from secure storage if not in config
const effectiveConfig = this.config.apiKey
? this.config
: { ...this.config, apiKey: await loadEmbeddingApiKey() ?? '' };
const response = await createEmbedding(text, effectiveConfig);
return response.embedding;
}
async embedBatch(texts: string[]): Promise<number[][]> {
const responses = await createEmbeddings(texts, this.config);
return responses.map(r => r.embedding);
}
similarity(vec1: number[], vec2: number[]): number {
return cosineSimilarity(vec1, vec2);
}
updateConfig(config: Partial<EmbeddingConfig>): void {
this.config = { ...this.config, ...config };
if (config.provider !== undefined || config.apiKey !== undefined) {
this.config.enabled = this.config.provider !== 'local' && !!this.config.apiKey;
}
// Save non-key fields to localStorage
saveEmbeddingConfig(this.config);
// Save apiKey to secure storage (fire-and-forget)
if (config.apiKey !== undefined) {
saveEmbeddingApiKey(config.apiKey).catch(e => logger.debug('Failed to save embedding API key', { error: e }));
}
}
getConfig(): EmbeddingConfig {
return { ...this.config };
}
}
let embeddingClientInstance: EmbeddingClient | null = null;
export function getEmbeddingClient(): EmbeddingClient {
if (!embeddingClientInstance) {
embeddingClientInstance = new EmbeddingClient();
}
return embeddingClientInstance;
}
export function resetEmbeddingClient(): void {
embeddingClientInstance = null;
}