Implement distributed agent coordination:
System Model:
- Multiple nodes, each running agents
- Coordinator on each node
- Tasks distributed via consistent hashing
Methods:
register_local_agent(agent_id, capabilities): Local registrationassign_task_distributed(task, requirements): Route task- Use consistent hashing on task_id
- Check node health
- Return assignment info
_consistent_hash(key, nodes): Hash to node mappinghandle_node_failure(failed_node): Rebalance taskscollect_results(task_id): Gather distributed results
Consistent Hashing: Hash(key) -> find next node in hash ring
Failure Handling:
- Heartbeat monitoring
- Automatic failover
- Task reassignment
Examples
Example 1:
Input:
coord = DistributedAgentCoordinator('node1', ['node1', 'node2']); coord.register_local_agent('agent1', ['math']); 'agent1' in coord.local_agentsOutput:
TrueExplanation: Agent registered locally
Starter Code
import hashlib
import time
class DistributedAgentCoordinator:
"""
Coordinator for distributed multi-agent system across nodes.
"""
def __init__(self, node_id, all_nodes):
self.node_id = node_id
self.all_nodes = all_nodes
self.local_agents = {}
self.task_assignments = {}
self.heartbeat_table = {}
def register_local_agent(self, agent_id, capabilities):
"""Register agent on this node"""
# Your implementation here
pass
def assign_task_distributed(self, task, requirements):
"""
Assign task to best node using consistent hashing.
Returns {'assigned_node': ..., 'agent_id': ..., 'local': bool}
"""
# Your implementation here
pass
def _consistent_hash(self, key, nodes):
"""Consistent hashing for node selection"""
# Your implementation here
pass
def handle_node_failure(self, failed_node):
"""Reassign tasks from failed node"""
# Your implementation here
pass
def collect_results(self, task_id):
"""Collect results from potentially multiple nodes"""
# Your implementation here
passPython3
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