@tangle-network/agent-eval
Advanced tools
Trace-first evaluation framework for Tangle agents. Core (spans, pipelines, sandbox harness, OTLP export), trust (dataset, red-team, calibration, behavior DSL), builder-of-builders (three-layer eval, resumable sessions, meta-runtime correlation), and fron
Trace-first evaluation framework for Tangle agents. Core (spans, pipelines, sandbox harness, OTLP export), trust (dataset, red-team, calibration, behavior DSL), builder-of-builders (three-layer eval, resumable sessions, meta-runtime correlation), and frontier (meta-eval correlation study, Process Reward Modeling, bisector).
pnpm add @tangle-network/agent-eval
→ .claude/skills/agent-eval/SKILL.md — single source of truth for every usage pattern. Covers: minimal builder-of-builders path, the seven muffled-gate footguns paid for in shipped bugs, the three-layer eval contract, regression tests worth writing, and "when to use what" for the 100+ exports.
If you're an LLM or agent reading this, load the skill file before writing integration code — it encodes 10+ incident-driven directives that will save you from rediscovering them.
pnpm build # tsup
pnpm test # vitest
pnpm typecheck # tsc --noEmit
MIT
FAQs
Evaluate and improve AI agents from runs, traces, judges, and feedback. Compare candidates, cluster failures, measure lift, and gate releases.
The npm package @tangle-network/agent-eval receives a total of 7,042 weekly downloads. As such, @tangle-network/agent-eval popularity was classified as popular.
We found that @tangle-network/agent-eval demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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