vitya 5ed79a2e95 chore: bootstrap project structure
- .wiki/ with canonical Karpathy layout (CLAUDE.md, index, log, overview, raw)
- .tasks/ with canonical STATUS.md board
- CLAUDE.md with skill triggers
- Bootstrap manifest in .wiki/concepts/

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-03 23:12:18 +03:00
2026-05-03 23:12:18 +03:00
2026-05-03 23:12:18 +03:00
2026-05-03 08:07:35 +00:00
2026-05-03 23:12:18 +03:00
2026-05-03 08:07:35 +00:00

Meeting Room

Multi-agent discussion framework — role-based AI agents debate problems and produce solutions.

Install

git clone <repo-url> meeting-room
cd meeting-room
pip install -e .

# Optional backends
pip install -e ".[autogen]"
pip install -e ".[crewai]"

Quick Start

# Initialize workspace (creates .meeting-room/ in current directory)
meeting-room init

# Create a scenario
cat > .meeting-room/scenarios/my-problem.md << 'EOF'
---
name: "My Problem"
participants:
  - moderator
  - skeptic
  - idea_generator
  - analyst
max_rounds: 6
---

# Problem Title

Describe the problem in Markdown...
EOF

# Run discussion
cd .meeting-room
meeting-room -s scenarios/my-problem.md

# Run and save result
meeting-room -s scenarios/my-problem.md --save

# Point agents at a project for file tools
meeting-room -w /path/to/project -s scenarios/code-review.md

Workspace Structure

.meeting-room/
├── config.yaml       — override default config (roles, providers, tools)
├── scenarios/        — your .md scenario files
│   └── example.md
├── sessions/         — saved discussion results (gitignored)
└── .gitignore

Commands

meeting-room init [path]                      # Create .meeting-room workspace
meeting-room -s scenarios/my.md               # Run discussion
meeting-room -s scenarios/my.md --save        # Run and save result
meeting-room -b autogen -s scenarios/my.md    # Use AutoGen backend
meeting-room -b crewai -s scenarios/my.md     # Use CrewAI backend
meeting-room --list-scenarios                 # Show available scenarios
meeting-room --list-roles                     # Show roles and model bindings
meeting-room -c /path/to/config.yaml -s ...   # Custom config file

Configuration

Config Search Order

  1. --config CLI argument
  2. .meeting-room/config.yaml (searched from CWD upward)
  3. Built-in package defaults

API Keys

Set via environment variables:

export MEETING_ROOM_ROUTERAI_API_KEY="sk-..."
export MEETING_ROOM_ROUTERAI_BASE_URL="https://routerai.ru/api/v1"
export MEETING_ROOM_OPENAI_API_KEY="sk-..."
export MEETING_ROOM_ANTHROPIC_API_KEY="sk-ant-..."

Or use ${ENV_VAR} placeholders in config.yaml.

Roles

Each role binds to a provider + model + tool set:

roles:
  analyst:
    name: "Analyst"
    provider: anthropic
    model: "claude-sonnet-4"
    temperature: 0.5
    tools: "all"

Tool Sets

Set Tools
all/full Everything (files + web + commands)
files read_file, list_files, search_in_files, write_file
readonly read_file, list_files, search_in_files
web web_search, web_fetch
none No tools, text only
(list) ["read_file", "web_search"] — custom mix

Scenarios

Markdown with YAML frontmatter:

---
name: "My Problem"
participants:
  - moderator
  - skeptic
  - idea_generator
  - analyst
max_rounds: 6
---

# The Problem

Full Markdown description...

## Context
- Budget: $50K
- Team: 3 people

## Questions
1. What tech stack?
2. How to scale?

License

MIT

Description
Multi-agent discussion framework — role-based AI agents debate problems and produce solutions
Readme 192 KiB
Languages
Python 94.4%
HTML 5.6%