claude-flow
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Ruflo - Enterprise AI agent orchestration for Claude Code. Deploy 60+ specialized agents in coordinated swarms with self-learning, fault-tolerant consensus, vector memory, and MCP integration
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TypeScript
/**
* Real-Time Mode Implementation
*
* Optimized for sub-millisecond adaptation with:
* - 2200 ops/sec target
* - <0.5ms latency
* - Micro-LoRA (rank-2)
* - SIMD vectorization
* - Aggressive caching
*/
import type { SONAModeConfig, Trajectory, Pattern, PatternMatch, LoRAWeights, EWCState } from '../types.js';
import { BaseModeImplementation } from './index.js';
/**
* Real-Time mode for sub-millisecond adaptation
*/
export declare class RealTimeMode extends BaseModeImplementation {
readonly mode = "real-time";
private patternCache;
private cacheHits;
private cacheMisses;
private patternEmbeddings;
private patternIds;
private totalPatternMatches;
private totalPatternTime;
private totalLearnTime;
private learnIterations;
initialize(): Promise<void>;
cleanup(): Promise<void>;
/**
* Find patterns using cached similarity search
* Target: <1ms for k=3
*/
findPatterns(embedding: Float32Array, k: number, patterns: Pattern[]): Promise<PatternMatch[]>;
/**
* Fast learning using Micro-LoRA updates
* Target: <10ms per batch
*/
learn(trajectories: Trajectory[], config: SONAModeConfig, ewcState: EWCState): Promise<number>;
/**
* Apply LoRA with minimal overhead
* Target: <0.05ms
*/
applyLoRA(input: Float32Array, weights?: LoRAWeights): Promise<Float32Array>;
getStats(): Record<string, number>;
/**
* Compute cache key from embedding
*/
private computeCacheKey;
/**
* Update pattern index for fast similarity search
*/
private updatePatternIndex;
/**
* Partial sort to get top-k elements (faster than full sort)
*/
private partialSort;
}
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