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    • F
      license
      Not graded
      quality
      Not graded
      maintenance
      Aggregates multiple divergent LLM reasoning trajectories through majority voting and consensus scoring to produce high-confidence deterministic outputs without additional model calls. Plug into any MCP-compliant client to resolve agent tasks with sub-millisecond, zero-dependency execution.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides advanced evaluation tools for assessing AI safety, alignment, and performance of LLM outputs. Enables programmatic evaluation of quality, safety metrics like toxicity and PII detection, and operational metrics including carbon footprint and cost estimation.
      4
      Apache 2.0
    • A
      license
      A
      quality
      B
      maintenance
      Enables MCP clients to score retrieval quality with recall, precision, nDCG, hit rate and MRR, compare 2-3 configurations with seeded paired-bootstrap confidence intervals, audit agent tool calls against expected traces, and detect prompt regressions against golden sets. It also generates Markdown, JSON or JUnit reports with pass/fail gates, all deterministically and offline without paid API keys.
      6
      172 npm
      1
      MIT