Deterministic Out-of-Band AI Safety Circuit Breaker & MCP Proxy
Python
0
1 commits
updated Sep 29, 2026
Deterministic, sub-millisecond execution circuit breaker for autonomous AI agent tool-calls.
Standard LLM guardrails (RLHF, system prompt boundaries) operate in-band: models evaluate their own compliance. When autonomous agents are granted tool-calling access to system shells, databases, or financial disbursement rails, adversarial injections or goal drift can bypass prompt restrictions via Base64 obfuscation, polyglot payloads, or velocity micro-drains.
aw1-breaker enforces an out-of-band execution interlock between the agent reasoning node and downstream execution sockets.
pip install aw1-breaker
from aw1 import ExecutionBreaker
breaker = ExecutionBreaker(baseline_velocity=50000.0)
result = breaker.intercept(
actor_id="agent_treasury_01",
tool_name="disburse_funds",
payload='{"target": "core_ledger", "action": "payout"}',
amount=12000.0
)
print(result)
MIT License. Designed and maintained by Laveto Labs.
Python
100.0%
Deterministic Out-of-Band AI Safety Circuit Breaker & MCP Proxy
Python
0
1 commits
updated Sep 29, 2026
Deterministic, sub-millisecond execution circuit breaker for autonomous AI agent tool-calls.
Standard LLM guardrails (RLHF, system prompt boundaries) operate in-band: models evaluate their own compliance. When autonomous agents are granted tool-calling access to system shells, databases, or financial disbursement rails, adversarial injections or goal drift can bypass prompt restrictions via Base64 obfuscation, polyglot payloads, or velocity micro-drains.
aw1-breaker enforces an out-of-band execution interlock between the agent reasoning node and downstream execution sockets.
pip install aw1-breaker
from aw1 import ExecutionBreaker
breaker = ExecutionBreaker(baseline_velocity=50000.0)
result = breaker.intercept(
actor_id="agent_treasury_01",
tool_name="disburse_funds",
payload='{"target": "core_ledger", "action": "payout"}',
amount=12000.0
)
print(result)
MIT License. Designed and maintained by Laveto Labs.
Python
100.0%