permamind/dist/tools/process/commands/EvalProcessCommand.js

An MCP server that provides an immortal memory layer for AI agents and clients

import { z } from "zod";
import { evalProcess } from "../../../relay.js";
import { CommonSchemas, ToolCommand, } from "../../core/index.js";
export class EvalProcessCommand extends ToolCommand {
    context;
    metadata = {
        description: "Evaluate Lua code within an existing AO process. This allows testing functionality, debugging issues, and executing operations programmatically within the AO compute environment.",
        name: "evalProcess",
        openWorldHint: false,
        readOnlyHint: false,
        title: "Evaluate Process Code",
    };
    parametersSchema = z.object({
        code: z
            .string()
            .min(1, "Lua code cannot be empty")
            .max(10000, "Lua code too long (max 10000 characters)")
            .describe("Lua code to evaluate in the AO process"),
        processId: CommonSchemas.processId.describe("The AO process ID to evaluate code within"),
    });
    constructor(context) {
        super();
        this.context = context;
    }
    async execute(args) {
        try {
            const result = await evalProcess(this.context.keyPair, args.code, args.processId);
            if (result === null || result === undefined) {
                return JSON.stringify({
                    error: "Evaluation returned null result",
                    message: "Code evaluation failed or timed out",
                    success: false,
                });
            }
            return JSON.stringify({
                message: "Code evaluated successfully",
                result,
                success: true,
            });
        }
        catch (error) {
            return JSON.stringify({
                error: error instanceof Error ? error.message : "Unknown error",
                message: "Failed to evaluate code in AO process",
                success: false,
            });
        }
    }
}