aethershell 0.3.1

The world's first multi-agent shell with typed functional pipelines and multi-modal AI
Documentation 
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# Syntax Knowledge Base Demonstration
# Showcases the Syntax KB system for multi-agent communication

print("=== Syntax Knowledge Base Demo ===")
print("")

# 1. Get details of AgenticBinary protocol
print("AgenticBinary Protocol Details:")
print(syntax_get("ab"))
print("")

# 2. Search for protocols
print("Search for 'protocol':")
print(syntax_search("protocol"))
print("")

# 3. AgenticBinary Encoding Example
print("=== AgenticBinary Encoding ===")
print("")

# Encode a PING message (Command type, PING opcode)
print("Encoding PING message:")
ping_bytes = ab_encode("command", "ping", "hello")
print(ping_bytes)
print("")

# Decode the message back
print("Decoding PING message:")
ping_decoded = ab_decode(ping_bytes)
print(ping_decoded)
print("")

# Encode a QUERY message
print("Encoding QUERY message:")
query_bytes = ab_encode("query", "query", "What is the weather?")
print(query_bytes)
decoded_query = ab_decode(query_bytes)
print(decoded_query)
print("")

# Encode a DELEGATE message for agent coordination
print("Encoding DELEGATE message:")
delegate_bytes = ab_encode("command", "delegate", "task:analyze_data")
print(delegate_bytes)
print(ab_decode(delegate_bytes))
print("")

# Encode a COLLABORATE message
print("Encoding COLLABORATE message:")
collab_bytes = ab_encode("command", "collaborate", "agent_2,agent_3")
print(collab_bytes)
print(ab_decode(collab_bytes))
print("")

# 4. Add a custom syntax entry
print("=== Adding Custom Syntax ===")
print("")

custom_syntax = {
    id: "http",
    name: "HTTP Protocol",
    category: "protocol",
    specification: "Hypertext Transfer Protocol - RFC 2616",
    examples: ["GET /index.html HTTP/1.1", "POST /api/data HTTP/1.1"]
}

print("Adding HTTP protocol syntax:")
syntax_add(custom_syntax)
print("HTTP added successfully!")
print("")

# Verify it was added
print("Verify HTTP syntax entry:")
print(syntax_get("http"))
print("")

# Search for HTTP
print("Search for HTTP:")
print(syntax_search("http"))
print("")

# 5. Multi-agent Communication Simulation
print("=== Multi-Agent Communication Example ===")
print("")

# Agent 1 sends a LEARN message
print("Agent 1 → Agent 2: LEARN message")
learn_msg = ab_encode("command", "learn", "syntax:agenticbinary")
print(ab_decode(learn_msg))
print("")

# Agent 2 acknowledges
print("Agent 2 → Agent 1: ACK message")
ack_msg = ab_encode("response", "ack", "learned:ab")
print(ab_decode(ack_msg))
print("")

# Agent 1 delegates task
print("Agent 1 → Agent 2: DELEGATE task")
task_msg = ab_encode("command", "delegate", "task:encode_message")
print(ab_decode(task_msg))
print("")

# Agent 2 executes
print("Agent 2 → Agent 1: EXEC response")
exec_msg = ab_encode("command", "exec", "executing:encode_message")
print(ab_decode(exec_msg))
print("")

# Agent 2 sends back data
print("Agent 2 → Agent 1: DATA response")
data_msg = ab_encode("response", "data", "result:success")
print(ab_decode(data_msg))
print("")

print("=== Syntax KB Demo Complete ===")
print("")
print("Summary:")
print("- Retrieved AgenticBinary protocol details")
print("- Searched syntax database")
print("- Encoded/decoded binary messages with various opcodes")
print("- Added custom HTTP syntax entry")
print("- Simulated multi-agent communication workflow")
print("")
print("The Syntax KB enables agents to:")
print("  1. Discover and share syntax definitions")
print("  2. Communicate efficiently using AgenticBinary protocol")
print("  3. Coordinate tasks through semantic opcodes")
print("  4. Learn and memorize protocols dynamically")