Components / Prompt Builders

Prompt Expert Mode

A power-user interface for fine-tuning prompt parameters and direct model interaction.

Live Preview — prompt-expert-mode-01
Expert Console

Hyperparams

Top_P0.85
Top_K0.85
Frequency0.85
Presence0.85

Infra

Node ID: cluster-4a

Status: Healthy

{
  "request_id": "req_842a_9k",
  "system_fingerprint": "fp_3b8e72",
  "messages": [
    {
      "role": "system",
      "content": "You are a recursive logic engine..."
    },
    {
      "role": "user",
      "content": "Verify the zero-shot stability of the following..."
    }
  ],
  "response_format": { "type": "json_object" }
}

Installation

Dependencies

Install the core libraries required for this component.

npm
npm install react lucide-react

Source Code

prompt-expert-mode-01.tsx
"use client";

import React, { useState } from "react";
import { Terminal, Settings, Brackets, Layers, Cpu, Play } from "lucide-react";

export default function PromptExpertMode() {
    const [activeTab, setActiveTab] = useState("json");

    return (
        <div className="rounded-xl border border-zinc-200 dark:border-zinc-800 bg-[#09090b] text-zinc-400 shadow-sm w-full max-w-4xl mx-auto overflow-hidden font-mono text-xs">
            <div className="flex items-center justify-between px-6 py-3 border-b border-zinc-800 bg-[#121214]">
                <div className="flex items-center gap-6">
                    <div className="flex items-center gap-2 text-zinc-200">
                        <Terminal className="h-4 w-4" />
                        <span className="font-bold">Expert Console</span>
                    </div>
                    <div className="flex items-center gap-1">
                        {["json", "yaml", "xml"].map(t => (
                            <button
                                key={t}
                                onClick={() => setActiveTab(t)}
                                className={`px-3 py-1 rounded transition-colors ${activeTab === t ? "bg-zinc-800 text-zinc-100" : "hover:text-zinc-200"}`}
                            >
                                {t.toUpperCase()}
                            </button>
                        ))}
                    </div>
                </div>
                <div className="flex items-center gap-4">
                    <Settings className="h-4 w-4 hover:text-zinc-200 cursor-pointer" />
                    <button className="flex items-center gap-2 px-4 py-1.5 rounded bg-blue-600 text-white font-bold hover:bg-blue-700 transition-all">
                        <Play className="h-3 w-3 fill-current" />
                        EXECUTE
                    </button>
                </div>
            </div>

            <div className="grid grid-cols-1 md:grid-cols-4 divide-x divide-zinc-800 h-[400px]">
                <div className="p-6 space-y-6">
                    <div className="space-y-4">
                        <p className="text-[10px] font-black uppercase text-zinc-500 tracking-widest flex items-center gap-2">
                            <Layers className="h-3 w-3" />
                            Hyperparams
                        </p>
                        {["Top_P", "Top_K", "Frequency", "Presence"].map(p => (
                            <div key={p} className="flex items-center justify-between">
                                <span className="text-[11px]">{p}</span>
                                <span className="text-blue-400">0.85</span>
                            </div>
                        ))}
                    </div>
                    <div className="space-y-4 pt-4 border-t border-zinc-800">
                        <p className="text-[10px] font-black uppercase text-zinc-500 tracking-widest flex items-center gap-2">
                            <Cpu className="h-3 w-3" />
                            Infra
                        </p>
                        <div className="p-3 rounded bg-zinc-900/50 border border-zinc-800">
                            <p className="text-[10px] text-zinc-500">Node ID: cluster-4a</p>
                            <p className="text-[10px] text-emerald-500">Status: Healthy</p>
                        </div>
                    </div>
                </div>
                <div className="col-span-3 p-8 bg-[#0c0c0e] relative">
                    <div className="absolute top-4 right-6 p-1.5 rounded bg-zinc-800/50 text-zinc-500">
                        <Brackets className="h-4 w-4" />
                    </div>
                    <pre className="leading-relaxed text-blue-400">
                        <code>{`{
  "request_id": "req_842a_9k",
  "system_fingerprint": "fp_3b8e72",
  "messages": [
    {
      "role": "system",
      "content": "You are a recursive logic engine..."
    },
    {
      "role": "user",
      "content": "Verify the zero-shot stability of the following..."
    }
  ],
  "response_format": { "type": "json_object" }
}`}</code>
                    </pre>
                </div>
            </div>
        </div>
    );
}

Functional Logic

Internal functions used to handle component logic.

Function Parameters
PromptExpertMode() None

State Management

React state variables managed within this component.

Variable Initial Value
activeTab "json"

JSX Tags Usage

Every JSX/HTML tag used in this component, with usage count and source.

Tag Count Type Source
<Brackets> Library lucide-react
<Cpu> Library lucide-react
<Layers> Library lucide-react
<Play> Library lucide-react
<Settings> Library lucide-react
<Terminal> Library lucide-react
<button> Native Native HTML
<code> Native Native HTML
<div> 14× Native Native HTML
<p> Native Native HTML
<pre> Native Native HTML
<span> Native Native HTML

Related Components

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  • Prompt Chain Builder — A visual chain builder for creating multi-step AI prompt workflows with drag-and-drop step reordering.
  • Prompt Test Bench — A split-panel interface for testing AI prompts with real-time input and simulated output comparison.
  • Prompt Version Diff — A version comparison tool showing prompt iterations with visual diff highlighting and restore functionality.
  • Prompt Optimizer — An AI-powered prompt refinement tool that suggests improvements for better model performance.