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Debate

Three agents: one argues for a proposition, one against, a neutral judge picks the stronger side. Adversarial setups surface considerations a single agent glosses over — the disagreement is the feature.

Showcase — Debate

Three agents: one argues for a proposition, one against, a neutral judge picks the stronger side. Adversarial setups surface considerations a single agent glosses over — the disagreement is the feature.

Run

bash bootstrap-secrets.sh              # reads ../../../../.env, writes secrets/
docker compose up --build              # default: PROVIDER=openai

Open http://localhost:3000. Gemini: PROVIDER=gemini docker compose up --build.

What's where

  • backend/ai_openai.py / backend/ai_gemini.py — for / against / judge agents.
  • frontend/app/page.tsx — proposition box; both sides + verdict.

Stop

docker compose down

Run locally

Download the project as a ZIP and run it with Docker. Brings up a FastAPI backend + Next.js frontend on localhost:3000.

Download debate.zip

unzip debate.zip
cd debate
bash bootstrap-secrets.sh   # one-time: pulls API keys into ./secrets
docker compose up --build   # default provider: openai
# or:  PROVIDER=gemini docker compose up --build

Type some input, pick a provider, and run the same code shown in Source against the live API. Sign-in required.


  

The same modules the Run button hits. The whole project (frontend, Dockerfile, compose) is in the ZIP under README.

backend/ai_openai.py

"""Showcase 3 (OpenAI): a debate with a judge.

Three agents again, arranged as adversaries plus a referee: one argues for a
proposition, one against, and a neutral judge decides which side was stronger.
Adversarial multi-agent setups surface considerations a single agent glosses
over — the disagreement is the feature.
"""
from openai import OpenAI

_client = OpenAI()

_MODEL = "gpt-5.4-nano"


def _agent(system: str, user: str) -> str:
    return _client.responses.create(model=_MODEL, instructions=system, input=[{"role": "user", "content": user}]).output_text


def run(proposition: str) -> str:
    p = proposition.strip()
    if not p:
        return "Enter a proposition to debate (e.g. 'Remote work is better for productivity')."
    pro = _agent("You argue FOR the proposition in 3-4 sentences. Persuasive but honest.", p)
    con = _agent("You argue AGAINST the proposition in 3-4 sentences. Persuasive but honest.", p)
    verdict = _agent(
        "You are a neutral judge. Given a proposition and both sides, say which argument is "
        "stronger and why, in 2-3 sentences. Don't just split the difference.",
        f"PROPOSITION: {p}\n\nFOR:\n{pro}\n\nAGAINST:\n{con}",
    )
    return f"FOR:\n{pro}\n\nAGAINST:\n{con}\n\nJUDGE:\n{verdict}"

backend/ai_gemini.py

"""Showcase 3 (Gemini): a debate with a judge.

Same for/against/judge structure, on Gemini.
"""
import os

from google import genai
from google.genai import types

_client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])

_MODEL = "gemini-3.1-flash-lite"


def _agent(system: str, user: str) -> str:
    r = _client.models.generate_content(
        model=_MODEL,
        contents=[types.Content(role="user", parts=[types.Part(text=user)])],
        config=types.GenerateContentConfig(system_instruction=system),
    )
    return r.text or ""


def run(proposition: str) -> str:
    p = proposition.strip()
    if not p:
        return "Enter a proposition to debate (e.g. 'Remote work is better for productivity')."
    pro = _agent("You argue FOR the proposition in 3-4 sentences. Persuasive but honest.", p)
    con = _agent("You argue AGAINST the proposition in 3-4 sentences. Persuasive but honest.", p)
    verdict = _agent(
        "You are a neutral judge. Given a proposition and both sides, say which argument is "
        "stronger and why, in 2-3 sentences. Don't just split the difference.",
        f"PROPOSITION: {p}\n\nFOR:\n{pro}\n\nAGAINST:\n{con}",
    )
    return f"FOR:\n{pro}\n\nAGAINST:\n{con}\n\nJUDGE:\n{verdict}"

Project files

  • .gitignore
  • README.es.md
  • README.md
  • backend/Dockerfile
  • backend/ai_gemini.py
  • backend/ai_openai.py
  • backend/main.py
  • backend/requirements.txt
  • bootstrap-secrets.sh
  • docker-compose.yml
  • frontend/Dockerfile
  • frontend/app/layout.tsx
  • frontend/app/page.tsx
  • frontend/next.config.ts
  • frontend/package.json
  • frontend/tsconfig.json