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
/**
* V3 Agent Pool
* Manages agent lifecycle, pooling, and auto-scaling
*/
import { EventEmitter } from 'events';
import { AgentState, AgentMetrics, AgentPoolConfig, AgentPoolState, IAgentPool } from './types.js';
export declare class AgentPool extends EventEmitter implements IAgentPool {
private config;
private pooledAgents;
private available;
private busy;
private pendingScale;
private lastScaleOperation?;
private healthCheckInterval?;
private agentCounter;
constructor(config?: Partial<AgentPoolConfig>);
initialize(config?: AgentPoolConfig): Promise<void>;
shutdown(): Promise<void>;
acquire(): Promise<AgentState | undefined>;
release(agentId: string): Promise<void>;
add(agent: AgentState): Promise<void>;
remove(agentId: string): Promise<void>;
scale(delta: number): Promise<void>;
getState(): AgentPoolState;
getAvailableCount(): number;
getBusyCount(): number;
getTotalCount(): number;
getUtilization(): number;
private createPooledAgent;
private createDefaultCapabilities;
private createDefaultMetrics;
private checkScaling;
private startHealthChecks;
private performHealthChecks;
private replaceUnhealthyAgent;
getAgent(agentId: string): AgentState | undefined;
getAllAgents(): AgentState[];
getAvailableAgents(): AgentState[];
getBusyAgents(): AgentState[];
updateAgentHeartbeat(agentId: string): void;
updateAgentMetrics(agentId: string, metrics: Partial<AgentMetrics>): void;
getPoolStats(): {
total: number;
available: number;
busy: number;
utilization: number;
avgHealth: number;
avgUsageCount: number;
};
}
export declare function createAgentPool(config?: Partial<AgentPoolConfig>): AgentPool;
//# sourceMappingURL=agent-pool.d.ts.map