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Astrolabe

Astrolabe AI Agent
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Overview

Policy-driven OpenAI-compatible routing proxy for OpenClaw that picks the lowest-cost model, adds safety gates, and can escalate once.

Astrolabe is an open-source, policy-driven, OpenAI-compatible routing proxy built for OpenClaw. It sits between an OpenAI-compatible client (like OpenClaw) and OpenRouter, classifies each request into policy categories and complexity, applies safety gates, and routes the request to a cost-effective model with fallback chains for provider/model outages. For non-stream responses it can run a confidence self-check and optionally escalate once to a stronger model. Astrolabe is intentionally small and stateless (no database or UI required), returns routing metadata via response headers, and includes a health endpoint and structured logs for operational visibility.

Autonomy level

26%

Reasoning: Astrolabe functions as a routing layer that operates with constrained autonomy. It sits between agents and OpenRouter, evaluating requests and making decisions about model selection based on cost optimization and safety criteria. Unlike higher-autonomy agents that plan and execute tasks independently, Astrolabe operates reactively within predefined...

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Some of the use cases of Astrolabe:

  • Reducing OpenClaw inference costs by routing routine traffic to cheaper models and escalating only when needed.
  • Adding a safety gate and policy-based routing layer in front of OpenRouter without changing client protocols.
  • Improving reliability with fallback chains when a chosen model/provider is unavailable.
  • Getting routing transparency via response metadata headers and structured logs for debugging and optimization.

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Popularity level: 11%

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