swarmai 1.0.4

A highly flexible multi-agent ReAct framework powered by Google Gemini

🐝 Swarm Intelligence Framework

Swarm is a professional, highly flexible multi-agent intelligence framework powered by Google's Gemini 3.1 Flash Lite. It allows an arbitrary number of autonomous agents to collaborate, use system tools, execute code, and perform web searches in a shared environmental context.

🚀 Key Features

• N-Agent Support: Run as many agents as your tasks require.
• Autonomous Toolchain: Agents use web_search and shell_exec to solve complex problems.
• Dynamic Configuration: Configure any agent parameter (name, model, temperature, system prompt) directly via CLI flags.
• Handover Logic: Agents can autonomously pass control to specific peers using the pass_turn tool.
• Shared Environment: Tool execution outputs are shared with all agents via automatic System Reports.
• Files API Integration: Agents can upload and analyze local files (PDFs, images, logs) on the fly.
• Smart Sandboxing: Per-agent regex blacklists for terminal commands and file system paths.
• Persistent Sessions: Save and load complete Swarm states, including histories and turn orders.

🛠 Installation

pip install swarmai

Requires Python 3.9+ and a Google Gemini API Key.

💻 Quick Start

Basic Two-Agent Discussion

swarm --keys YOUR_API_KEY --agents_count 2

Autonomous Developer & Auditor

swarm --keys YOUR_API_KEY \
      --first_msg "Write a secure Python data scraper" \
      --ai1_name "Dev" --ai1_sys "You are a senior coder." \
      --ai2_name "Security" --ai2_sys "You look for vulnerabilities."

⚙️ Advanced CLI Configuration

Swarm uses a dynamic argument system. You can prefix any standard parameter with aiN_ to target a specific agent:

• --ai1_model "gemini-1.5-pro" (Use a heavier model for the lead agent)
• --ai2_temp 0.1 (Make the auditor more deterministic)
• --ai3_name "Researcher" (Set a custom name for the 3rd agent)
• --cmd_blacklist "rm" "sudo" (Global security policy)

Global Parameters:

• --agents_count: Number of agents in session (default: 2).
• --log_level: DEBUG, INFO, or WARNING.
• --no_pause: Disable "Press Enter" delays for fully autonomous runs.
• --config: Path to a JSON file containing all these parameters.

⌨️ Command Center (Ctrl+C)

Press Ctrl+C during execution to pause the Swarm and access the interactive menu:

1. Change Keys: Rotate or update API keys on the fly.
2. Toggle Pauses: Switch between manual and autonomous modes.
3. Save State: Export the entire session to a JSON file.
4. Inject Directive: Manually "whisper" a command to one or all agents.
5. Log Level: Adjust verbosity without restarting.

📄 Tool Documentation

• web_search: Browses the web for real-time data.
• shell_exec: Runs bash commands. Supports complex multi-line scripts.
• upload_file: Uploads local assets to the AI context.
• pass_turn: Moves the turn to a specific agent by name.

🤝 Contributing

Swarm is maintained by ProgVM.

• GitHub: https://github.com/ProgVM
• Email: [e-mail]

Feel free to open issues or submit pull requests for new features!

License: MIT