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About SteerPlane

SteerPlane provides runtime guardrails for autonomous AI agents, intervening during execution rather than after failures occur. It enforces deterministic limits on costs, steps, and actions, terminating runs immediately when thresholds are breached. The tool integrates as a zero-code gateway or SDK decorator, requiring minimal setup and no agent code changes. It supports multiple frameworks including LangChain, CrewAI, AutoGen, and the OpenAI Agents SDK, with a Python decorator and TypeScript SDK available. SteerPlane includes a policy engine for blocking destructive actions, a loop detector for identifying repeating patterns, and a cost circuit-breaker that terminates streaming responses mid-stream upon limit breaches. A real-time dashboard visualizes runs, costs, and violations, while the system remains fault-tolerant by enforcing guardrails locally if the control plane is offline. The core guardrail engine is open source and self-hostable under an MIT license, with a hosted/enterprise plan adding human-in-the-loop alert modes and managed infrastructure.

Key features

  • Cost circuit-breaker with per-session USD ceilings
  • Deterministic loop termination for single-action and multi-step patterns
  • Policy engine with glob-pattern matching for destructive actions
  • Real-time dashboard for run visualization and monitoring
  • Zero-code gateway compatible with OpenAI API
  • Python decorator and TypeScript SDK for deep integration
  • Fault-tolerant enforcement with local kill-mode fallback
  • Self-hostable with MIT-licensed core components

Use cases

  • Preventing infinite loops in autonomous agents consuming API credits
  • Enforcing budget limits for LLM-based applications
  • Blocking destructive actions like database deletions in production

Pros

  • Deterministic enforcement of cost, step, and policy limits
  • Sub-millisecond loop detection and cost tracking
  • Zero-code gateway and framework-agnostic integrations
  • Fault-tolerant design with local enforcement fallback
  • Open source core with self-hosting option

Cons

  • Human-in-the-loop alert mode restricted to hosted/enterprise plans
  • Core guardrail engine lacks advanced features like multi-agent coordination in free tier

Frequently asked questions about SteerPlane

What does SteerPlane actually do?

SteerPlane provides runtime guardrails for autonomous AI agents by intervening during execution to enforce deterministic limits on costs, steps, and actions. It terminates runs immediately when thresholds are breached, preventing failures rather than reporting them after the fact.

Who is SteerPlane designed for?

SteerPlane is designed for teams deploying autonomous AI agents that interact with APIs, execute code, or make real-world decisions. It suits developers and organizations seeking to prevent costly or destructive agent behavior without rewriting agent code.

How does SteerPlane integrate with existing AI agent frameworks?

SteerPlane offers zero-code gateway integration or SDK decorators, supporting frameworks like LangChain, CrewAI, AutoGen, and the OpenAI Agents SDK. It can be added with minimal setup, often requiring only a single line of code or a base URL change.

What happens if the SteerPlane control plane goes offline?

SteerPlane is fault-tolerant by design. If the control plane is unreachable, the SDK continues enforcing guardrails locally, including loop detection, cost ceilings, and policy checks, ensuring runs terminate safely rather than continuing unprotected.

Can I self-host SteerPlane?

Yes, the core guardrail engine is open source and self-hostable under an MIT license. The full stack, including the API, gateway, and dashboard, can be deployed with a single Docker command, with all enforcement features remaining free.

What enforcement features does SteerPlane provide?

SteerPlane includes a policy engine for blocking destructive actions, a loop detector for identifying repeating patterns, and a cost circuit-breaker that terminates streaming responses mid-stream upon limit breaches. It also offers a real-time dashboard for monitoring runs and violations.

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