LLM to LLM

A playground for two AI models to talk to each other, turn by turn, with user approval.

code.tsx

import React, { useState, useEffect, useRef } from "react";
import { createRoot } from "react-dom/client";

interface Message {
  role: "LLM1" | "LLM2";
  content: string;
  model: string;
}

interface Model {
  provider: string;
  name: string;
  friendlyName: string;
}

function PersonaSection({ label, models, model, setModel, system, setSystem }: {
  label: string; models: Model[]; model: Model | null;
  setModel: (m: Model) => void; system: string; setSystem: (s: string) => void;
}) {
  return (
    <section>
      <h3>{label}</h3>
      <select value={model?.name || ""} onChange={(e) => {
        const selected = models.find(m => m.name === e.target.value);
        if (selected) setModel(selected);
      }}>
        <ModelOptions models={models} />
      </select>
      <textarea placeholder="System instructions..." value={system} onChange={e => setSystem(e.target.value)} />
    </section>
  );
}

function ModelOptions({ models }: { models: Model[] }) {
  return <>{Object.entries(models.reduce((g: any, m: any) => { (g[m.provider] ??= []).push(m); return g; }, {})).map(([provider, ms]: any) => (
    <optgroup key={provider} label={provider}>{ms.map((m: any) => <option key={m.name} value={m.name}>{m.friendlyName}</option>)}</optgroup>
  ))}</>;
}

function App() {
  const [models, setModels] = useState<Model[]>([]);
  const [llm1Model, setLlm1Model] = useState<Model | null>(null);
  const [llm2Model, setLlm2Model] = useState<Model | null>(null);
  const [llm1System, setLlm1System] = useState("You are a helpful assistant. Keep responses concise.");
  const [llm2System, setLlm2System] = useState("You are a critical thinker. Keep responses concise.");
  const [messages, setMessages] = useState<Message[]>([]);
  const [kickstartPrompt, setKickstartPrompt] = useState("Hello! Let's start a debate about the future of AI.");
  const [isLoading, setIsLoading] = useState(false);
  const scrollRef = useRef<HTMLDivElement>(null);

  useEffect(() => {
    async function loadModels() {
      const available = await tb.models();
      setModels(available);
      if (available.length > 0) {
        setLlm1Model(available[0]);
        setLlm2Model(available[1] || available[0]);
      }
    }
    loadModels();
  }, []);

  useEffect(() => {
    if (scrollRef.current) {
      scrollRef.current.scrollTop = scrollRef.current.scrollHeight;
    }
  }, [messages]);

  const getNextTurn = async () => {
    setIsLoading(true);
    try {
      const isFirstTurn = messages.length === 0;
      const currentPersona = isFirstTurn || messages[messages.length - 1].role === "LLM2" ? "LLM1" : "LLM2";
      const currentModel = currentPersona === "LLM1" ? llm1Model : llm2Model;
      const currentSystem = currentPersona === "LLM1" ? llm1System : llm2System;

      if (!currentModel) {
        alert("Please select both models before starting.");
        setIsLoading(false);
        return;
      }

      // Construct conversation history for the AI
      // We map our custom roles to standard AI roles for the API
      const conversation = messages.map(m => ({
        role: (m.role === currentPersona ? "assistant" : "user") as "assistant" | "user",
        content: m.content
      }));

      // If it's the first turn, we use the kickstart prompt as the user input for LLM1
      if (isFirstTurn) {
        conversation.push({ role: "user", content: kickstartPrompt });
      } else {
        // Otherwise, the last message from the other LLM is the "user" prompt for the current LLM
      }

      const response = await tb.ai({
        provider: currentModel.provider,
        model: currentModel.name,
        system: currentSystem,
        messages: conversation.length > 0 ? conversation : [{ role: "user", content: kickstartPrompt }]
      });

      const newMessage: Message = {
        role: currentPersona,
        content: response.text,
        model: `${currentModel.provider} - ${currentModel.friendlyName}`
      };

      setMessages([...messages, newMessage]);
    } catch (error) {
      console.error("Error fetching AI response:", error);
      alert("Failed to get response from LLM.");
    } finally {
      setIsLoading(false);
    }
  };

  const resetChat = () => {
    if (confirm("Reset conversation?")) {
      setMessages([]);
    }
  };

  return (
    <div className="app-container">
      <header>
        <h1>LLM Chat Laboratory</h1>
        <p className="subtitle">Watch two AI models converse, one turn at a time.</p>
      </header>

      <div className="workspace">
        <aside className="settings">
          <PersonaSection label="Persona 1 (Starter)" models={models} model={llm1Model} setModel={setLlm1Model} system={llm1System} setSystem={setLlm1System} />
          <PersonaSection label="Persona 2" models={models} model={llm2Model} setModel={setLlm2Model} system={llm2System} setSystem={setLlm2System} />

          <section>
            <h3>Kickstart Prompt</h3>
            <textarea 
              placeholder="The message LLM1 responds to first..." 
              value={kickstartPrompt} 
              onChange={e => setKickstartPrompt(e.target.value)}
              disabled={messages.length > 0}
            />
            <small>Can only be changed before the chat starts.</small>
          </section>

        </aside>

        <main className="chat-area">
          <div className="messages" ref={scrollRef}>
            {messages.length === 0 && (
              <div className="empty-state">
                Ready to begin. LLM 1 will respond to: <br/>
                <em>"{kickstartPrompt}"</em>
              </div>
            )}
            {messages.map((m, i) => (
              <div key={i} className={`message-wrapper ${m.role}`}>
                <div className="message-header">
                  <span className="persona-tag">{m.role === 'LLM1' ? 'Persona 1' : 'Persona 2'}</span>
                  <span className="model-tag">{m.model}</span>
                </div>
                <div className="message-content">{m.content}</div>
              </div>
            ))}
            {isLoading && (
              <div className="loading-indicator">
                <div className="dot-flashing"></div>
                Thinking...
              </div>
            )}
          </div>

          <div className="controls">
            <button 
              className="next-turn-btn" 
              onClick={getNextTurn}
              disabled={isLoading || !llm1Model || !llm2Model}
            >
              {isLoading ? "Generating..." : messages.length === 0 ? "Start Conversation" : "Approve & Next Turn"}
            </button>
            <button className="reset-btn" onClick={resetChat} disabled={messages.length === 0}>Reset</button>
          </div>
        </main>
      </div>
    </div>
  );
}

const container = document.getElementById("root");
const root = createRoot(container!);
root.render(<App />);

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