aethershell 0.3.1

The world's first multi-agent shell with typed functional pipelines and multi-modal AI
Documentation 
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/* AetherShell TUI Agent Swarm Demo
   Launch with: ae tui
   
   This demo showcases multi-agent coordination in the TUI:
   - Agent creation and management
   - Swarm coordination
   - Real-time agent status
   - Task distribution
*/

/* Create individual agents with different roles */
researcher := agent {
  goal: "Research functional programming concepts",
  model: "openai:gpt-4o-mini",
  tools: ["web_search", "read_file"],
  max_steps: 10
}

writer := agent {
  goal: "Write a technical blog post",
  model: "openai:gpt-4o-mini",
  tools: ["write_file", "format_markdown"],
  max_steps: 8
}

reviewer := agent {
  goal: "Review and provide feedback",
  model: "anthropic:claude-3-5-sonnet-20241022",
  tools: ["read_file", "analyze_text"],
  max_steps: 5
}

/* Create a swarm with coordination strategy */
content_team := swarm {
  agents: [researcher, writer, reviewer],
  policy: "router",  /* Options: router, round-robin, coordinator */
  goal: "Create a comprehensive guide on functional programming",
  max_iters: 15,
  shared_tools: ["read_file", "write_file"]
}

/* Execute the swarm - TUI shows real-time progress */
content_team | print

/* The TUI provides:
   - Agent status panel (active, idle, completed)
   - Message blackboard view
   - Step-by-step execution trace
   - Agent communication visualization
   - Resource usage metrics
   - Pause/resume controls
   - Individual agent inspection
*/

/* Alternative: Sequential agents */
agents_run_sync [
  {goal: "Step 1: Gather requirements", model: "openai:gpt-4o-mini", max_steps: 5},
  {goal: "Step 2: Design solution", model: "openai:gpt-4o-mini", max_steps: 5},
  {goal: "Step 3: Review design", model: "anthropic:claude-3-5-sonnet-20241022", max_steps: 3}
] | print

print "TUI Agent Swarm Demo Ready! Launch with: ae tui"