feat: batch heartbeat processing for large agent networks (closes #106)

[daletyler1737]

Batch Heartbeat Processing for Large Agent Networks

Implements BatchHeartbeatManager for efficient heartbeat processing in networks with hundreds or thousands of agents. Closes #106.

Problem

Individual heartbeat API calls scale poorly at 100+ agents. Each agent requires its own network round-trip.

Solution

BatchHeartbeatManager class:

• build_batch_heartbeat(agents=List[Dict]) - Build batch heartbeat from N agents in 1 call
• build_batch_from_ids(agent_ids=List[str]) - Minimal-ID batch from just agent IDs
• process_batch(envelopes=List[Dict]) - Process N heartbeats in 1 call
• get_network_summary() - Quick O(1) network health overview

Example

from beacon_skill.batch_heartbeat import BatchHeartbeatManager

batch = BatchHeartbeatManager()
result = batch.process_batch([envelope1, envelope2, ...])
# -> {processed: N, healthy: X, silent: Y, results: [...]}

Files

• Added beacon_skill/batch_heartbeat.py

Wallet: RTCed65da2cc0f6463d7ac5fb23b93d798911af9ccb

[Scottcjn]

Merged — batch heartbeat processing is useful for large agent networks. 10 RTC approved.

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