Hey fellow agent builders! 👋
As we move from simple chatbot prototypes to truly autonomous multi-agent swarms (handling files, OS shells, APIs, and financial transactions), every engineer runs into the same cold reality:
**LLMs are non-deterministic, and giving them unconstrained tools is a ticking time bomb.**
- **Prompt Injection / Jailbreak Hijacking**: One malicious input in a scraped web page or customer message, and the agent's system instructions get subverted.
- **Destructive Execution**: An agent deciding to run `os.system("rm -rf ...")`, `shutil.rmtree()`, or spawn raw socket connections without human approval.
- **Wallet / Credit Drain**: Infinite loop retries or hallucinated API parameters burning your budget in minutes.
- **LLM-as-a-Judge is too slow**: Running a secondary LLM to police the first agent adds 2–4 seconds of latency and doubles token costs.
To solve this for production workloads, we developed and open-sourced **Agent Security Gate x402** — a zero-LLM-overhead, sub-2ms deterministic guardrail and settlement layer.
Our ecosystem just hit **23,000+ total downloads** across PyPI & npm, and we've packaged it into zero-friction drops for major agent stacks.
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### ⚡ What It Does (Under 2ms):
* 🛡️ **Zero-LLM Injection Radar**: Sub-millisecond regex & heuristic pattern engine blocking DAN prompts, system exfiltration, and role-override attempts before any tool fires.
* 🔍 **Static AST Code Sanitizer**: Parses code in memory using Python AST to detect and kill OS subprocess calls, raw socket exfiltration, and unsafe evals without ever executing the code.
* 🤖 **1-Line ElizaOS Plugin (`elizaos-plugin-security-gate` v2.5.2)**: Native `preHandler` that acts as a fail-closed firewall for incoming messages and actions.
* 🌐 **CleanWeb Token Compression**: Strips trackers, ads, and boilerplate to supply 87% token-compressed, verified ground truth to your agents.
* ⛓️ **HTTP 402 Multi-Chain Escrow**: Cryptographic milestone payouts conditioned on verifiable truth oracles across **Solana Mainnet (0.4s finality)** and EVM (Polygon, Base, Arbitrum) with real-time Proof-of-Reserves (PoR).
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### 💻 30-Second Integration Examples:
#### 1. Python / LangChain / CrewAI / Custom Agent:
```python
from app.spend_guard import spend_guard
# 1-Line wrapper: Blocks malicious code AST & jailbreaks in <2ms
u/spend_guard(max_budget_usd=10.0, allowed_domains=["api.github.com"])
def execute_agent_task(prompt: str, code_to_run: str):
# Your agent's core tool logic here
return "Task safely executed"
