@hashgraphonline/conversational-agent/dist/cjs/langchain/langchain-agent.d.ts

Hashgraph Online conversational AI agent implementing HCS-10 communication, HCS-2 registries, and content inscription on Hedera. https://hol.org

import { ParameterPreprocessingCallback } from './form-aware-agent-executor';
import { BaseAgent, ConversationContext, ChatResponse, OperationalMode, UsageStats } from '../base-agent';
import { MCPConnectionStatus } from '../mcp/types';
import { FormSubmission } from '../forms/types';

export declare class LangChainAgent extends BaseAgent {
    private executor;
    private systemMessage;
    private mcpManager?;
    private smartMemory;
    private mcpConnectionStatus;
    private toolRegistry;
    private executionPipeline;
    private formEngine;
    private addToolRawToMemory;
    private persistToolRaw;
    private persistIntermediateSteps;
    private pendingParameterPreprocessingCallback;
    /**
     * Get inscription tool by capability instead of hardcoded name
     */
    private getInscriptionTool;
    /**
     * Execute a tool directly with parameters, optionally using ExecutionPipeline
     */
    private executeToolDirect;
    /**
     * Create a standard ChatResponse from tool output
     */
    private createToolResponse;
    /**
     * Handle TOOL_EXECUTION format messages
     */
    private handleToolExecution;
    /**
     * Handle direct tool execution commands
     */
    private handleDirectToolExecution;
    /**
     * Handle JSON format tool calls and form submissions
     */
    private handleJsonToolCalls;
    /**
     * Handle content-ref messages for inscription tools
     */
    private handleContentRefMessages;
    /**
     * Process executor result and format response
     */
    private processExecutorResult;
    /**
     * Normalize context messages into LangChain message instances and load into memory
     */
    /**
     * Loads context messages into memory, merging with existing messages
     */
    private loadContextMessages;
    boot(): Promise<void>;
    chat(message: string, context?: ConversationContext): Promise<ChatResponse>;
    shutdown(): Promise<void>;
    switchMode(mode: OperationalMode): void;
    getUsageStats(): UsageStats;
    getUsageLog(): UsageStats[];
    clearUsageStats(): void;
    getMCPConnectionStatus(): Map<string, MCPConnectionStatus>;
    /**
     * Processes form submission and continues with tool execution
     */
    processFormSubmission(submission: FormSubmission, context?: ConversationContext): Promise<ChatResponse>;
    /**
     * Check if the agent has pending forms that need to be completed
     */
    hasPendingForms(): boolean;
    /**
     * Get information about pending forms
     */
    getPendingFormsInfo(): Array<{
        formId: string;
        toolName: string;
    }>;
    private createAgentKit;
    private createExecutor;
    /**
     * Set parameter preprocessing callback for tool parameter format conversion
     */
    setParameterPreprocessingCallback(callback: ParameterPreprocessingCallback | undefined): void;
    private handleError;
    private initializeMCP;
    /**
     * Connect to MCP servers asynchronously after agent boot with background timeout pattern
     */
    connectMCPServers(): Promise<void>;
    /**
     * Connect to a single MCP server in background with timeout
     */
    private connectServerInBackground;
    /**
     * Detects and processes HashLink blocks from tool responses
     * @param parsedResponse - The parsed JSON response from a tool
     * @returns Metadata object containing hashLinkBlock if detected
     */
    private processHashLinkBlocks;
    /**
     * Check if a string is valid JSON
     */
    private isJSON;
}