The Open Runtime for
Autonomous LLM Agents

# Autonomous Multi-Agent Swarm with Anthropic Claude Engine
from lixvn import SwarmRuntime, Tool, Agent
from anthropic import Anthropic

# 1. Initialize Claude 3.5 Sonnet core engine
client = Anthropic(api_key="your-claude-api-key")
runtime = SwarmRuntime(model="claude-3-5-sonnet-latest", engine=client)

# 2. Define self-healing tool interfaces
@runtime.tool
def execute_sql_query(query: str) -> dict:
    """Executes verified read queries against primary data warehouse"""
    return runtime.db.safe_execute(query)

# 3. Spawn autonomous researcher & auditor agents
planner = Agent(name="Lead Architect", role="Context breakdown & planning")
auditor = Agent(name="Security Auditor", role="SQL injection check & schema safety")

result = runtime.dispatch(
    goal="Analyze customer churn pattern and report anomalies",
    agents=[planner, auditor]
)
print(f"[STATUS 200] Run Completed. Tokens: {result.total_tokens}")