universal-ai-brain/packages/core/src/agent/ToolExecutor.ts

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import { IDataStore } from '../persistance/IDataStore';
import { Document } from 'mongodb';
import { logger } from '../utils/logger';

export interface ToolDefinition extends Document {
  tool_id: string;
  name: string;
  description: string;
  input_schema: any;
  output_schema: any;
  // A real implementation would have a way to execute the tool
  // For now, we'll just simulate it.
  execute: (input: any) => Promise<any>;
}

export interface ToolExecutionLog extends Document {
    // Define execution log structure
}

export interface ToolExecutionContext {
  agent_id: string;
  workflow_id: string;
  timeout_ms: number;
}

export class ToolExecutor {
  private toolStore: IDataStore<ToolDefinition>;
  private executionStore: IDataStore<ToolExecutionLog>;

  constructor(toolStore: IDataStore<ToolDefinition>, executionStore: IDataStore<ToolExecutionLog>) {
    this.toolStore = toolStore;
    this.executionStore = executionStore;
  }

  async execute(toolId: string, input: any, context: ToolExecutionContext): Promise<any> {
    const tool = await this.toolStore.findOne({ tool_id: toolId });
    if (!tool) {
      throw new Error(`Tool with id ${toolId} not found`);
    }

    // In a real implementation, we would execute the tool here.
    // For now, we'll just return a mock output.
    const output = { success: true, result: `Executed ${tool.name}` };

    // Log the execution
    const executionLog = {
      tool_id: toolId,
      agent_id: context.agent_id,
      workflow_id: context.workflow_id,
      input,
      output,
      timestamp: new Date(),
    } as ToolExecutionLog;
    await this.executionStore.create(executionLog);

    logger.info('Tool executed', {
      tool_id: toolId,
      agent_id: context.agent_id,
      workflow_id: context.workflow_id,
    });

    return output;
  }

  async createTool(tool: ToolDefinition): Promise<ToolDefinition> {
    return this.toolStore.create(tool);
  }
}