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wangsiyi7

Codex Reasoning Reactor

by wangsiyi7

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables monitoring of running agent loops with token and monetary cost estimation, pruning of verbose thinking chains near limits, and routing sub-tasks between fast/cheap and deep reasoning models. It provides deterministic, MCP-compatible budget optimization for autonomous agents and copilot frameworks.
      7
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Runtime budget authority for autonomous agents - a set of tools to check, reserve, spend, and release budget before and after every costly, risky operation. The agent asks "can I afford this?" before acting, and reports what it actually used afterward.
      9
      82 npm
      Apache 2.0
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to monitor live token consumption and rate-limit windows across providers and assess whether expensive actions are justified before exhausting quotas, with optional budget guardrails.
      2
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to estimate wall-clock runtime, peak memory footprint, OOM risk, and optimal batching before launching ML training or inference jobs, and to log completed runs for continuous calibration. It exposes just two ultra-compact tools so estimation fits in under 200 tokens of agent context.
      Apache 2.0