aethershell 0.3.1

The world's first multi-agent shell with typed functional pipelines and multi-modal AI
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# Example: Complete Integration - AI Backends + MCP Servers
# Demonstrates using both systems together for intelligent agents

print("=== Complete AI + MCP Integration ===")
print("")

# Part 1: Detect AI Backends
print("Part 1: AI Backend Detection")
print("─────────────────────────────")
let ai_backends = ai_backends()
let selected_ai = ai_detect()

print("Available AI backends: " + len(ai_backends))
print("Auto-selected: " + selected_ai)
print("")

# Show AI backend details
print("Detected backends:")
ai_backends | foreach(fn(b) => print("  - " + b.name + " (" + b.provider + ")"))
print("")

# Part 2: Detect MCP Servers
print("Part 2: MCP Server Detection")
print("─────────────────────────────")
let mcp_servers = mcp_servers()
print("Available MCP servers: " + len(mcp_servers))
print("")

# Part 3: Integration Patterns
print("Part 3: Integration Patterns")
print("─────────────────────────────")
print("")

print("Pattern 1: Simple AI Query")
print("  let response = ai(ai_detect(), \"What is 2+2?\")")
print("")

print("Pattern 2: Agent without tools")
print("  agent(\"Answer questions\", ai_detect(), [])")
print("")

print("Pattern 3: Agent with MCP tools")
print("  let server = mcp_detect(\"http://localhost:3001\")")
print("  agent(\"File analyzer\", ai_detect(), server.tools)")
print("")

print("Pattern 4: Multi-agent with different backends")
print("  let fast = agent(\"Quick tasks\", \"ollama:llama3.2:3b\", [])")
print("  let smart = agent(\"Complex tasks\", \"ollama:llama3.1:70b\", [])")
print("")

print("Pattern 5: Agent with multiple MCP servers")
print("  let fs = mcp_detect(\"http://localhost:3001\")")
print("  let git = mcp_detect(\"http://localhost:3002\")")
print("  agent(\"Code reviewer\", ai_detect(), fs.tools + git.tools)")
print("")

# Part 4: Status Summary
print("Part 4: Status Summary")
print("─────────────────────────────")
print("")
print("Ready to use:")
print("  ✓ AI Backend: " + selected_ai)
print("  ✓ MCP Servers: " + len(mcp_servers) + " detected")
print("  ✓ Auto-configuration: Enabled")
print("")

print("To enable MCP tools:")
print("  1. Start MCP server(s) on ports 3001-3005")
print("  2. Use mcp_detect() to find them")
print("  3. Pass server.tools to agent()")
print("")

print("✓ Integration ready!")