Original Summary

Hey everyone, I've been building WarderBox — an open-source Python platform that sits between AI agents and the real world, controlling what they can do. The problem: AI agents now call APIs, query databases, send emails autonomously. One bad tool call (DROP TABLE, runaway loop, budget blowout) and things go wrong fast. What WarderBox does: - Risk classification — auto-blocks CRITICAL actions (DROP TABLE, DELETE FROM) - Budget control — hard spending limits per agent with cost forecasting - One-call rollback — state snapshots, undo any action - Rate limiting — per-tool RPM/RPH limits - Circuit breaker — auto-disables failing tools - Approval workflows — human-in-the-loop with timeout/escalation - Capability system — per-agent allowlist/denylist with arg constraints - PII masking — auto-masks emails, API keys, SSNs in logs - Compliance reports — SQLite audit trail, JSON/HTML export - Chaos engineering — fault injection to test agent resilience - Distributed tracing — OpenTelemetry-compatible spans - Agent scoring — A-F grades on safety/reliability/efficiency - Multi-agent pools — isolated budgets per agent - 5 framework integrations — OpenAI, Anthropic, LangChain, CrewAI, AutoGen New in v0.3.1 — FinOps: - Smart Model Routing: Classifies task complexity and routes to the cheapest capable model. Simple summary → Haiku. Complex analysis → Opus. 60-90% cost savings automatically. - Cost Anomaly Detection: Z-score based spike detection, infinite loop detection, rate spike monitoring, burn rate alerts with callbacks. - FinOps Dashboard: Real-time 4-tab web UI (Overview, FinOps, Routing, Alerts) Stats: 36 modules, 255+ tests, zero dependencies, Python 3.11+ pip install warderbox from warderbox import WarderBox, ModelRouter, AnomalyDetector shield = WarderBox(budget=5.00) router = ModelRouter() router.add_model("haiku", cost_per_1k=0.00025, max_complexity=0.35) router.add_model("sonnet", cost_per_1k=0.003, max_complexity=0.65) router.add_model("opus", cost_per_1k=0.015, max_complexity=1.0) decision = router.route("Summarize this text") # → model="haiku", 60-90% cheaper than always using opus GitHub: https://github.com/alicelik-games/warderbox PyPI: https://pypi.org/project/warderbox/ Would love feedback — especially from anyone running agents in production. What safety/cost features are you missing?   submitted by   /u/zinccarbonpeople [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/16 17:34:31