Skip to main content

A Society of Agents

Pylint PyPI

LLM Society - AI agents in philosophical debate

Inspired by Marvin Minsky's Society of Mind, a multi-agent simulation where AI personalities debate questions from different perspectives. Ask a question, specify the viewpoints you want, and watch the debate unfold.

What it does

  1. You provide a question and the perspectives you want represented
  2. AI generates distinct agent personalities for each perspective
  3. An orchestrator facilitates debate between the agents
  4. Agents discuss, disagree, and build on each other's arguments

Installation

pip install pysociety

or

uv add pysociety

Quick Start

Create a .env file with your API key:

ANTHROPIC_API_KEY=your-api-key-here

Run a debate

uv run python -m llm_society \
  "What is the meaning of life? I want an optimistic, a pessimistic, and a pragmatic view."

More examples

# Ethics debate
uv run python -m llm_society "$(cat examples/trolley_problem.txt)"

# Philosophy
uv run python -m llm_society "$(cat examples/free_will.txt)"

# Social issues
uv run python -m llm_society "$(cat examples/wealth_inequality.txt)"

Example Questions

File Topic Perspectives
meaning_of_life.txt Meaning of life Optimist, Pessimist
trolley_problem.txt Trolley problem Utilitarian, Deontologist, Virtue ethicist
free_will.txt Free will Determinist, Libertarian, Compatibilist
wealth_inequality.txt Wealth inequality Libertarian, Socialist, Rawlsian, Communitarian
animal_rights.txt Animal rights Peter Singer, Traditionalist, Environmental ethicist
civil_disobedience.txt Civil disobedience Thoreau, MLK, Legal positivist, Conservative

Optional Configuration

You can customize models in .env:

# Main orchestrator model
MAIN_AGENT_MODEL=anthropic:claude-opus-4-5-20251101

# Sub-agent models
SUB_AGENT_MODEL=anthropic:claude-sonnet-4-5-20250929

# Prompt generation model
PROMPT_GENERATOR_MODEL=anthropic/claude-opus-4-5-20251101

Metadata

Release files for pysociety 0.2.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pysociety 0.2.4
File Size Uploaded
pysociety-0.2.4.tar.gz 821.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pysociety 0.2.4
File Interpreter ABI Platform
pysociety-0.2.4-py3-none-any.whl Python 3 none any Details

Total release size: 828.7 kB

Release files / pysociety-0.2.4.tar.gz

Download URL pysociety-0.2.4.tar.gz
Size 821.1 kB
Tags Source
SHA-256 checksum
How to use checksums
76c7f12c16571bd91c6cd80ff9e343c16ea82f7205d32d8a487d07f5d75b866c
BLAKE2b-256 checksum
How to use checksums
6026bb10adbf8400962f3b6dd6eb561b99fe4ae02ca5d5c47b4ce3a20a217953
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.12

Release files / pysociety-0.2.4-py3-none-any.whl

Download URL pysociety-0.2.4-py3-none-any.whl
Size 7.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
354d383caa6892ef6d0531a8c3727eb8c01724e2bdfb526ead904d35265174d4
BLAKE2b-256 checksum
How to use checksums
9307ee21c52c9bc1eaec81db68964e945fb9f5979221f1d763f4db73a944475e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.12

Release history Release notifications | RSS feed

This release

0.2.4 This release

2 release files

0.2.3

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page