SUMMARY AI要約 by gpt-5-mini
Agent Behavior Evals Lab is a local evaluation harness for testing AI assistants and agentic systems against policy-defined behavior expectations. It’s intended for engineers, adapter developers, evaluators, and researchers who need reproducible, policy-driven assessments of agent behavior (including future adapters and saved transcripts). It is not an OpenClaw-only project and the current milestone uses a deterministic mock client. Key features: a behavior policy and failure taxonomy; 30 JSONL eval cases across categories; target profiles and system prompts; a deterministic mock model client and rule-based scorer; end-to-end mock eval runner producing scored JSONL traces and a Markdown baseline report. Tooling includes schema/manifest validators, trace/report writers, saved-transcript replay, adapter fixture import/validation, adjudication-aware reporting, regression/comparison checks, and utilities for promoting reviewed outputs.
使用言語(バイト数比)
オーナー情報
Applied AI • Workflow Automation • Decision Support
日付
| GitHub作成日 | 2026-05-06 |
| 最終Push | 2026-05-09 |
| 当サイト初検出 | 2026-05-09 |
| 最終取得 | 2026-05-09 18:17 |
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