@gork-labs/secondbrain-mcp/dist/agents/spawner.d.ts

Second Brain MCP Server - Agent team orchestration with dynamic tool discovery

import { ChatmodeDefinition, SubAgentResponse } from '../utils/types.js';
import { AIClient } from '../ai/client.js';
import { ContextManager } from './context-manager.js';
export interface SpawnAgentRequest {
    subagentName: string;
    task: string;
    context: string;
    expectedDeliverables: string;
    urgency: 'low' | 'medium' | 'high' | 'critical';
    budget?: number;
    timeout?: number;
}
export interface SpawnAgentResult {
    response: SubAgentResponse;
    metadata: {
        tokensUsed: number;
        timeElapsed: number;
        cost: number;
        model: string;
        quality: number;
    };
}
export declare class AgentSpawner {
    private readonly aiClient;
    private readonly contextManager;
    private readonly chatmodes;
    constructor(aiClient: AIClient, contextManager: ContextManager, chatmodes: Map<string, ChatmodeDefinition>);
    /**
     * Spawn a sub-agent to complete a specific task
     */
    spawnAgent(request: SpawnAgentRequest): Promise<SpawnAgentResult>;
    /**
     * Build messages for the specific agent type
     */
    private buildAgentMessages;
    /**
     * Request format correction from AI when JSON parsing fails
     */
    private requestFormatCorrection;
    /**
     * Calculate quality score based on response characteristics
     */
    private calculateQualityScore;
    /**
     * Get default timeout based on urgency
     */
    private getDefaultTimeout;
    /**
     * Get context requirements based on urgency and budget
     */
    private getContextRequirements;
    /**
     * Calculate cost based on tokens and model
     */
    private calculateCost;
    /**
     * Execute function with timeout
     */
    private executeWithTimeout;
}