{"id":2246,"date":"2026-07-26T19:08:49","date_gmt":"2026-07-26T19:08:49","guid":{"rendered":"https:\/\/www.dobryakov.com\/blog\/2246\/"},"modified":"2026-07-26T19:10:04","modified_gmt":"2026-07-26T19:10:04","slug":"eval-harness-agent-drift","status":"publish","type":"post","link":"https:\/\/www.dobryakov.com\/blog\/2246\/","title":{"rendered":"\u041a\u0430\u043a \u0441\u0434\u0435\u043b\u0430\u0442\u044c eval \u043a\u0440\u0438\u0442\u0435\u0440\u0438\u0435\u043c \u0440\u0435\u043b\u0438\u0437\u0430 AI-\u0444\u0438\u0447\u0438, \u0430 \u043d\u0435 \u043e\u0446\u0435\u043d\u043a\u043e\u0439 \u00ab\u043d\u0430 \u0434\u0435\u043c\u043e \u0432\u044b\u0433\u043b\u044f\u0434\u0435\u043b\u043e \u043d\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u043e\u00bb"},"content":{"rendered":"<p>\u0421\u0434\u0435\u043b\u0430\u0439\u0442\u0435 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u043e AI-\u0432\u044b\u0432\u043e\u0434\u0430 <strong>release-\u043a\u0440\u0438\u0442\u0435\u0440\u0438\u0435\u043c<\/strong>: \u0444\u0438\u043a\u0441\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 regression \u0438\u0437 \u043f\u0440\u043e\u0448\u043b\u044b\u0445 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u043e\u0432, distribution-diff \u043a \u0441\u043d\u0430\u043f\u0448\u043e\u0442\u0443 \u043f\u0440\u043e\u0448\u043b\u043e\u0433\u043e \u0440\u0435\u043b\u0438\u0437\u0430 (20\u201350 \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u0445 \u0432\u0445\u043e\u0434\u043e\u0432), human spot-check \u043f\u0435\u0440\u0435\u0434 \u043f\u0435\u0440\u0432\u044b\u043c \u043f\u0440\u043e\u0434\u043e\u043c \u043d\u043e\u0432\u043e\u0433\u043e \u0432\u0438\u0434\u0430 \u0432\u044b\u0432\u043e\u0434\u0430 \u2014 \u0438 \u043e\u0434\u0438\u043d \u0447\u0435\u043b\u043e\u0432\u0435\u043a, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u0435\u0442 sign-off. \u041d\u0438\u0436\u0435 \u2014 \u0430\u043d\u0442\u0438\u043f\u0430\u0442\u0442\u0435\u0440\u043d demo-grade, \u0442\u0440\u0438 \u0441\u043b\u043e\u044f \u043c\u0435\u0442\u043e\u0434\u0438\u043a\u0438 \u0438 \u043c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0439 harness, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u0430\u0434\u0430\u0435\u0442 \u0432 CI \u0441 \u043f\u043e\u043d\u044f\u0442\u043d\u044b\u043c exit code.<\/p>\n<p><!--more--><\/p>\n<p>\u0411\u043e\u043b\u044c\u0448\u0438\u043d\u0441\u0442\u0432\u043e AI-\u0444\u0438\u0447 \u0443\u0435\u0437\u0436\u0430\u0435\u0442 \u0432 \u043f\u0440\u043e\u0434 \u0432 <strong>demo grade<\/strong>. \u041d\u0435 \u043f\u043e\u0442\u043e\u043c\u0443 \u0447\u0442\u043e \u043a\u043e\u043c\u0430\u043d\u0434\u0430 \u00ab\u043d\u0435 \u0437\u0430\u0431\u043e\u0442\u0438\u0442\u0441\u044f\u00bb \u2014 \u043f\u043e\u0442\u043e\u043c\u0443 \u0447\u0442\u043e eval, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043e\u0434\u043e\u0431\u0440\u0438\u043b \u0444\u0438\u0447\u0443, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043b \u0442\u0435 \u0436\u0435 \u0432\u0445\u043e\u0434\u044b, \u0447\u0442\u043e \u0438 \u043f\u0438\u0442\u0447. \u041a\u0443\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u0434\u0430\u0442\u0430\u0441\u0435\u0442. \u041a\u043e\u043d\u0442\u0440\u043e\u043b\u0438\u0440\u0443\u0435\u043c\u044b\u0435 \u0443\u0441\u043b\u043e\u0432\u0438\u044f. \u0414\u043b\u0438\u043d\u043d\u044b\u0439 \u0445\u0432\u043e\u0441\u0442 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0442\u0440\u0430\u0444\u0438\u043a\u0430 \u043d\u0438 \u0440\u0430\u0437\u0443 \u043d\u0435 \u043f\u0440\u043e\u0433\u043e\u043d\u044f\u043b\u0438.<\/p>\n<p>\u041f\u043e\u0442\u043e\u043c \u043f\u0440\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u0442\u043e, \u0447\u0442\u043e \u0434\u0435\u043c\u043e \u043d\u0435 \u043f\u043e\u043a\u0440\u044b\u043b\u043e:<\/p>\n<ul>\n<li>RAG \u043a\u043e\u0440\u0440\u0435\u043a\u0442\u043d\u043e \u0434\u043e\u0441\u0442\u0430\u0451\u0442 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u044b \u043d\u0430 \u0441\u0442\u0435\u0439\u0434\u0436\u0438\u043d\u0433\u0435 \u0441 \u043a\u0443\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u043c \u043a\u043e\u0440\u043f\u0443\u0441\u043e\u043c \u0438 \u0433\u0430\u043b\u043b\u044e\u0446\u0438\u043d\u0438\u0440\u0443\u0435\u0442 \u043d\u0430 \u043f\u043e\u043b\u043d\u043e\u043c \u043a\u043e\u0440\u043f\u0443\u0441\u0435 \u0441\u043e stale-\u0437\u0430\u043f\u0438\u0441\u044f\u043c\u0438;<\/li>\n<li>\u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440 \u0442\u0438\u0445\u043e \u0434\u0435\u0433\u0440\u0430\u0434\u0438\u0440\u0443\u0435\u0442 \u043f\u043e\u0441\u043b\u0435 \u0441\u043c\u0435\u043d\u044b \u0432\u0445\u043e\u0434\u043d\u043e\u0439 \u0441\u0445\u0435\u043c\u044b upstream;<\/li>\n<li>AI-\u043a\u043e\u0434 \u043f\u0440\u043e\u0445\u043e\u0434\u0438\u0442 \u0430\u0432\u0442\u043e\u0442\u0435\u0441\u0442\u044b, \u043d\u043e \u0432\u043d\u043e\u0441\u0438\u0442 security-\u043f\u0430\u0442\u0442\u0435\u0440\u043d, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0442\u0435\u0441\u0442\u044b \u043d\u0435 \u043f\u043e\u043a\u0440\u044b\u0432\u0430\u043b\u0438.<\/li>\n<\/ul>\n<p>\u0422\u0440\u0438 \u0440\u0430\u0437\u043d\u044b\u0445 \u0441\u0442\u0435\u043a\u0430. \u041e\u0434\u0438\u043d failure mode: \u043d\u0435\u0442 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0433\u043e eval, \u043d\u0435\u0442 named owner, \u043e\u0434\u043e\u0431\u0440\u0435\u043d\u0438\u0435 \u00ab\u043d\u0430 \u0434\u0435\u043c\u043e \u0432\u044b\u0433\u043b\u044f\u0434\u0435\u043b\u043e \u043d\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u043e\u00bb.<\/p>\n<p>Agent drift \u2014 \u043a\u043e\u0433\u0434\u0430 \u043f\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u043c\u043e\u0434\u0435\u043b\u0438 \u0438\u043b\u0438 \u0430\u0433\u0435\u043d\u0442\u0430 \u0443\u0435\u0437\u0436\u0430\u0435\u0442 \u043e\u0442 \u0442\u043e\u0433\u043e, \u0447\u0442\u043e \u0432\u044b \u0441\u0447\u0438\u0442\u0430\u043b\u0438 \u00ab\u043f\u0440\u043e\u0432\u0435\u0440\u0435\u043d\u043d\u044b\u043c\u00bb, \u0431\u0435\u0437 \u043a\u0440\u0430\u0441\u043d\u043e\u0433\u043e \u0430\u043b\u0435\u0440\u0442\u0430 \u0432 \u043c\u043e\u043c\u0435\u043d\u0442 \u0440\u0435\u043b\u0438\u0437\u0430. \u0418\u043d\u043e\u0433\u0434\u0430 \u044d\u0442\u043e \u0441\u043c\u0435\u043d\u0430 \u043f\u0440\u043e\u043c\u043f\u0442\u0430 \u0438\u043b\u0438 \u043a\u043e\u0440\u043f\u0443\u0441\u0430. \u0418\u043d\u043e\u0433\u0434\u0430 \u2014 \u0442\u0438\u0445\u0438\u0439 \u0441\u0434\u0432\u0438\u0433 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u0432\u0445\u043e\u0434\u043e\u0432. \u0421\u0438\u043c\u043f\u0442\u043e\u043c \u043e\u0434\u0438\u043d: \u0437\u0435\u043b\u0451\u043d\u044b\u0439 eval \u043d\u0430 \u0434\u0435\u043c\u043e-\u043d\u0430\u0431\u043e\u0440\u0435, \u043a\u0440\u0430\u0441\u043d\u044b\u0439 \u043f\u0440\u043e\u0434 \u043d\u0430 \u0436\u0438\u0432\u043e\u043c \u0445\u0432\u043e\u0441\u0442\u0435.<\/p>\n<h2>\u041a\u043e\u0433\u0434\u0430 \u0432\u043e\u043e\u0431\u0449\u0435 \u043d\u0443\u0436\u0435\u043d AI-output review<\/h2>\n<p>\u041d\u0435 \u043a\u0430\u0436\u0434\u044b\u0439 \u0434\u0435\u043f\u043b\u043e\u0439. \u0422\u0440\u0438\u0433\u0433\u0435\u0440 \u043f\u0440\u043e\u0441\u0442\u043e\u0439: <strong>\u043c\u0435\u043d\u044f\u0435\u0442 \u043b\u0438 \u0440\u0435\u043b\u0438\u0437 \u0442\u043e, \u0447\u0442\u043e \u043c\u043e\u0434\u0435\u043b\u044c \u0432\u0438\u0434\u0438\u0442, \u0438\u043b\u0438 \u0442\u043e, \u0447\u0442\u043e \u043e\u043d\u0430 \u0432\u044b\u0434\u0430\u0451\u0442?<\/strong><\/p>\n<p>\u041f\u0440\u043e\u0432\u0435\u0440\u044f\u0439\u0442\u0435 \u0434\u043e \u0440\u0435\u043b\u0438\u0437\u0430, \u0435\u0441\u043b\u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442\u0441\u044f \u0445\u043e\u0442\u044f \u0431\u044b \u043e\u0434\u043d\u043e:<\/p>\n<ul>\n<li>\u0432\u044b\u0432\u043e\u0434 \u0438\u0434\u0451\u0442 \u0432 customer-facing \u043f\u043e\u0442\u043e\u043a (\u043e\u0442\u0432\u0435\u0442, \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0446\u0438\u044f, \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u044f, \u043f\u043e\u0438\u0441\u043a);<\/li>\n<li>\u0432\u044b\u0432\u043e\u0434 \u0432\u043b\u0438\u044f\u0435\u0442 \u043d\u0430 \u0431\u0438\u0437\u043d\u0435\u0441-\u043a\u0440\u0438\u0442\u0438\u0447\u043d\u043e\u0435 \u0440\u0435\u0448\u0435\u043d\u0438\u0435 (approval, routing, pricing, alert);<\/li>\n<li>\u0432\u044b\u0432\u043e\u0434 \u0441\u0442\u0440\u043e\u0438\u0442\u0441\u044f \u043d\u0430 retrieval (RAG) \u2014 \u0440\u0438\u0441\u043a \u0433\u0430\u043b\u043b\u044e\u0446\u0438\u043d\u0430\u0446\u0438\u0438 \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0438\u0440\u0443\u0435\u0442\u0441\u044f \u0441 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u043e\u043c retrieval;<\/li>\n<li>\u0441 \u043f\u0440\u043e\u0448\u043b\u043e\u0433\u043e \u0440\u0435\u043b\u0438\u0437\u0430 \u0441\u043c\u0435\u043d\u0438\u043b\u0438\u0441\u044c \u043c\u043e\u0434\u0435\u043b\u044c, \u043f\u0440\u043e\u043c\u043f\u0442 \u0438\u043b\u0438 \u043a\u043e\u0440\u043f\u0443\u0441 retrieval.<\/li>\n<\/ul>\n<p>\u0418\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u043d\u044b\u0439 \u0434\u0435\u043f\u043b\u043e\u0439, \u0447\u0438\u0441\u0442\u044b\u0439 UI, \u043a\u043e\u043d\u0444\u0438\u0433 \u0431\u0435\u0437 \u0432\u043b\u0438\u044f\u043d\u0438\u044f \u043d\u0430 prompt\/retrieval \u2014 \u043f\u043e\u043b\u043d\u044b\u0439 eval \u043d\u0435 \u043e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u0435\u043d. \u042d\u043a\u043e\u043d\u043e\u043c\u0438\u044f \u0437\u0434\u0435\u0441\u044c \u043d\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u0430; \u0441\u0430\u043c\u043e\u043e\u0431\u043c\u0430\u043d \u2014 \u043a\u043e\u0433\u0434\u0430 \u00ab\u0438\u043d\u0444\u0440\u0430\u00bb \u0442\u0438\u0445\u043e \u043f\u043e\u0434\u043c\u0435\u043d\u044f\u0435\u0442 \u0438\u043d\u0434\u0435\u043a\u0441 \u0438\u043b\u0438 system prompt.<\/p>\n<h2>\u0412\u043b\u0430\u0434\u0435\u043b\u0435\u0446: \u043e\u0434\u0438\u043d \u0447\u0435\u043b\u043e\u0432\u0435\u043a, \u043d\u0435 \u00ab\u043a\u043e\u043c\u0430\u043d\u0434\u0430\u00bb<\/h2>\n<p>\u041e\u0434\u0438\u043d \u0447\u0435\u043b\u043e\u0432\u0435\u043a \u0432\u043b\u0430\u0434\u0435\u0435\u0442 eval. \u041d\u0435 \u00ab\u0432\u0441\u0435\u00bb. \u041d\u0435 \u00ab\u0432 \u0441\u0442\u0435\u0439\u0434\u0436\u0438\u043d\u0433\u0435 \u0432\u044b\u0433\u043b\u044f\u0434\u0435\u043b\u043e \u043d\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u043e\u00bb.<\/p>\n<p>\u0422\u0438\u043f\u0438\u0447\u043d\u0430\u044f \u0441\u0445\u0435\u043c\u0430:<\/p>\n<table>\n<thead>\n<tr>\n<th>\u0420\u043e\u043b\u044c<\/th>\n<th>\u0427\u0442\u043e \u0434\u0435\u043b\u0430\u0435\u0442<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Feature owner (\u0438\u043d\u0436\u0435\u043d\u0435\u0440 \u0438\u043b\u0438 PM)<\/td>\n<td>\u0444\u043e\u0440\u043c\u0443\u043b\u0438\u0440\u0443\u0435\u0442 \u00ab\u0445\u043e\u0440\u043e\u0448\u0438\u0439 \u0432\u044b\u0432\u043e\u0434\u00bb \u0432 \u0431\u0438\u0437\u043d\u0435\u0441-\u0442\u0435\u0440\u043c\u0438\u043d\u0430\u0445<\/td>\n<\/tr>\n<tr>\n<td>ML\/AI lead<\/td>\n<td>\u0432\u0430\u043b\u0438\u0434\u0438\u0440\u0443\u0435\u0442 \u043c\u0435\u0442\u043e\u0434\u0438\u043a\u0443 \u0438 \u043a\u0440\u0438\u0442\u0435\u0440\u0438\u0438 sign-off<\/td>\n<\/tr>\n<tr>\n<td>Release approver (EM \/ tech lead)<\/td>\n<td>\u0444\u0438\u043d\u0430\u043b\u044c\u043d\u044b\u0439 gate; sign-off \u043d\u0435\u043b\u044c\u0437\u044f \u0437\u0430\u043c\u0435\u043d\u0438\u0442\u044c \u0444\u0440\u0430\u0437\u043e\u0439 \u00ab\u0432 \u0441\u0442\u0435\u0439\u0434\u0436\u0438\u043d\u0433\u0435 \u0432\u0440\u043e\u0434\u0435 \u043e\u043a\u00bb<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u0415\u0441\u043b\u0438 \u043f\u0435\u0440\u0435\u0434 \u0440\u0435\u043b\u0438\u0437\u043e\u043c \u043d\u0435\u043b\u044c\u0437\u044f \u043d\u0430\u0437\u0432\u0430\u0442\u044c \u0432\u043b\u0430\u0434\u0435\u043b\u044c\u0446\u0430 \u2014 \u044d\u0442\u043e \u0443\u0436\u0435 \u043f\u0435\u0440\u0432\u044b\u0439 \u0442\u0440\u0435\u0432\u043e\u0436\u043d\u044b\u0439 \u043f\u0440\u0438\u0437\u043d\u0430\u043a. \u0414\u0430\u043b\u044c\u0448\u0435 \u0441\u043f\u043e\u0440 \u00ab\u043a\u0442\u043e \u0434\u043e\u043b\u0436\u0435\u043d \u0431\u044b\u043b \u043f\u043e\u0439\u043c\u0430\u0442\u044c\u00bb \u043f\u043e\u0447\u0442\u0438 \u0433\u0430\u0440\u0430\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u043d.<\/p>\n<h2>\u0422\u0440\u0438 \u0441\u043b\u043e\u044f \u043c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u043e\u0433\u043e eval<\/h2>\n<h3>Layer 1 \u2014 Regression (non-negotiable)<\/h3>\n<p>\u0424\u0438\u043a\u0441\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u043d\u0430\u0431\u043e\u0440 reference-\u043a\u0435\u0439\u0441\u043e\u0432 \u0441 \u0438\u0437\u0432\u0435\u0441\u0442\u043d\u044b\u043c \u043e\u0436\u0438\u0434\u0430\u0435\u043c\u044b\u043c \u0432\u044b\u0432\u043e\u0434\u043e\u043c. \u0412 \u043d\u0430\u0431\u043e\u0440\u0435 \u043e\u0431\u044f\u0437\u0430\u043d\u044b \u0431\u044b\u0442\u044c:<\/p>\n<ul>\n<li>edge-\u043a\u0435\u0439\u0441\u044b \u0438\u0437 \u043f\u0440\u043e\u0448\u043b\u044b\u0445 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u043e\u0432;<\/li>\n<li>\u043a\u0435\u0439\u0441\u044b \u0438\u0437 \u0434\u0435\u043c\u043e, \u043a\u043e\u0442\u043e\u0440\u044b\u043c\u0438 \u043e\u0434\u043e\u0431\u0440\u044f\u043b\u0438 \u0444\u0438\u0447\u0443 (\u0434\u0430 \u2014 \u0438\u0445 \u0442\u043e\u0436\u0435 \u043d\u0430\u0434\u043e \u043f\u0440\u043e\u0433\u043e\u043d\u044f\u0442\u044c, \u043d\u043e <strong>\u043d\u0435 \u0442\u043e\u043b\u044c\u043a\u043e<\/strong> \u0438\u0445);<\/li>\n<li>\u043c\u0438\u043d\u0438\u043c\u0443\u043c \u043e\u0434\u0438\u043d adversarial-\u0432\u0445\u043e\u0434 \u043d\u0430 \u0442\u0438\u043f \u0432\u044b\u0432\u043e\u0434\u0430: prompt injection, \u043f\u0443\u0441\u0442\u043e\u0439 \u0432\u0432\u043e\u0434, malformed.<\/li>\n<\/ul>\n<p>\u041a\u0440\u0438\u0442\u0435\u0440\u0438\u0439: \u0432\u0441\u0435 reference-\u043a\u0435\u0439\u0441\u044b \u0432 \u0434\u043e\u043f\u0443\u0441\u0442\u0438\u043c\u043e\u043c \u0434\u0438\u0430\u043f\u0430\u0437\u043e\u043d\u0435. \u041b\u044e\u0431\u043e\u0439 \u043d\u043e\u0432\u044b\u0439 \u0444\u0435\u0439\u043b \u0431\u043b\u043e\u043a\u0438\u0440\u0443\u0435\u0442 \u0440\u0435\u043b\u0438\u0437.<\/p>\n<p>\u041a\u043b\u044e\u0447: \u043a\u0435\u0439\u0441 \u0440\u043e\u0436\u0434\u0430\u0435\u0442\u0441\u044f \u0438\u0437 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u0430. \u041f\u043e\u043b\u0435 <code>origin<\/code> \u0432 YAML \u2014 \u043d\u0435 \u0431\u044e\u0440\u043e\u043a\u0440\u0430\u0442\u0438\u044f, \u0430 \u043e\u0442\u043b\u0438\u0447\u0438\u0435 regression set \u043e\u0442 demo-\u0434\u0430\u0442\u0430\u0441\u0435\u0442\u0430. \u0412\u0445\u043e\u0434\u044b \u0432\u0437\u044f\u0442\u044b \u0438\u0437 \u0442\u043e\u0433\u043e, \u0447\u0442\u043e \u0443\u0436\u0435 \u043b\u043e\u043c\u0430\u043b\u043e\u0441\u044c \u0432 \u043f\u0440\u043e\u0434\u0435, \u0430 \u043d\u0435 \u0438\u0437 \u0441\u043b\u0430\u0439\u0434\u0430 \u0434\u043b\u044f \u0441\u043e\u0432\u0435\u0442\u0430 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u043e\u0432.<\/p>\n<p>\u041f\u0440\u0438\u043c\u0435\u0440 \u0438\u0437 bundled-\u043a\u0435\u0439\u0441\u0430 <code>rag-stale-corpus<\/code> (\u0440\u0435\u043f\u043e\u0437\u0438\u0442\u043e\u0440\u0438\u0439 eval-harness):<\/p>\n<pre><code class=\"language-yaml\">id: rag-stale-corpus\norigin: incident-2026-03\ninput:\n  query: &quot;\u0434\u0435\u0439\u0441\u0442\u0432\u0443\u044e\u0449\u0430\u044f \u0441\u0442\u0430\u0432\u043a\u0430 \u043f\u043e \u0442\u0430\u0440\u0438\u0444\u0443 X&quot;\nexpected:\n  must_contain:\n    - &quot;\u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0439 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442&quot;\n  must_not_contain:\n    - &quot;archived&quot;\n  retrieved_chunks:\n    min_count: 1\n    must_contain:\n      - &#x27;&quot;status&quot;: &quot;active&quot;&#x27;\n    must_not_contain:\n      - &#x27;&quot;status&quot;: &quot;archived&quot;&#x27;\npass_criteria:\n  - no_archived_docs\n  - answer_grounded<\/code><\/pre>\n<p><code>must_contain<\/code> \/ <code>must_not_contain<\/code> \u043f\u0440\u043e\u0432\u0435\u0440\u044f\u044e\u0442 \u0442\u0435\u043a\u0441\u0442 \u043e\u0442\u0432\u0435\u0442\u0430. <code>retrieved_chunks<\/code> \u2014 \u0441\u0435\u0440\u0438\u0430\u043b\u0438\u0437\u043e\u0432\u0430\u043d\u043d\u044b\u0435 \u0447\u0430\u043d\u043a\u0438 (\u0447\u0430\u0441\u0442\u043e JSON). Needle \u043d\u0430\u0434\u043e \u043f\u043e\u0434\u0431\u0438\u0440\u0430\u0442\u044c \u043f\u043e\u0434 <strong>\u0440\u0435\u0430\u043b\u044c\u043d\u044b\u0439<\/strong> \u0444\u043e\u0440\u043c\u0430\u0442 \u0432\u0430\u0448\u0435\u0433\u043e RAG: \u0441\u0442\u0440\u043e\u043a\u0430 <code>&quot;status: archived&quot;<\/code> \u0432 \u043b\u043e\u0433-\u0444\u043e\u0440\u043c\u0430\u0442\u0435 \u043d\u0435 \u043d\u0430\u0439\u0434\u0451\u0442\u0441\u044f \u0432 <code>{&quot;status&quot;: &quot;archived&quot;}<\/code> \u0438 \u0442\u0435\u0441\u0442 \u043f\u0440\u043e\u0439\u0434\u0451\u0442 \u00ab\u0432\u0445\u043e\u043b\u043e\u0441\u0442\u0443\u044e\u00bb.<\/p>\n<p>\u0412 \u0442\u043e\u043c \u0436\u0435 \u0440\u0435\u043f\u043e\u0437\u0438\u0442\u043e\u0440\u0438\u0438 \u043b\u0435\u0436\u0430\u0442 adversarial-\u043a\u0435\u0439\u0441\u044b: \u043f\u0443\u0441\u0442\u043e\u0439 \u0432\u0432\u043e\u0434, malformed, injection (<code>ignore previous instructions\u2026<\/code>). \u0418\u0445 \u0441\u043c\u044b\u0441\u043b \u2014 \u0437\u0430\u0444\u0438\u043a\u0441\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043e\u0442\u043a\u0430\u0437, \u0430 \u043d\u0435 \u00ab\u043a\u0440\u0430\u0441\u0438\u0432\u044b\u0439 \u043e\u0442\u0432\u0435\u0442 \u043d\u0430 \u0430\u0442\u0430\u043a\u0443\u00bb.<\/p>\n<h3>Layer 2 \u2014 Distribution check<\/h3>\n<p>\u0414\u043b\u044f RAG \u0438 \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440\u043e\u0432. \u0411\u0435\u0440\u0451\u0442\u0435 20\u201350 \u0441\u0432\u0435\u0436\u0438\u0445 \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u0445 \u0432\u0445\u043e\u0434\u043e\u0432, \u043f\u0440\u043e\u0433\u043e\u043d\u044f\u0435\u0442\u0435 \u043d\u043e\u0432\u0443\u044e \u0432\u0435\u0440\u0441\u0438\u044e, \u0441\u0440\u0430\u0432\u043d\u0438\u0432\u0430\u0435\u0442\u0435 \u043d\u0435 \u0441 \u00ab\u0438\u0434\u0435\u0430\u043b\u043e\u043c\u00bb, \u0430 \u0441 <strong>diff<\/strong> \u043a \u0441\u043d\u0430\u043f\u0448\u043e\u0442\u0443 \u043f\u0440\u043e\u0448\u043b\u043e\u0433\u043e \u0440\u0435\u043b\u0438\u0437\u0430:<\/p>\n<ul>\n<li>\u0434\u043b\u0438\u043d\u0430 \/ \u0444\u043e\u0440\u043c\u0430\u0442 \u043e\u0442\u0432\u0435\u0442\u0430 \u2014 \u0432\u044b\u0431\u0440\u043e\u0441\u044b \u0447\u0430\u0441\u0442\u043e \u0437\u043d\u0430\u0447\u0430\u0442 \u0441\u043b\u043e\u043c\u0430\u043d\u043d\u044b\u0439 \u043f\u0440\u043e\u043c\u043f\u0442 \u0438\u043b\u0438 \u0441\u043c\u0435\u043d\u0443 \u0441\u0445\u0435\u043c\u044b;<\/li>\n<li>retrieved-\u0447\u0430\u043d\u043a\u0438 \u2014 \u0438\u0437\u043c\u0435\u043d\u0438\u043b\u0438\u0441\u044c \u043b\u0438, \u0438 \u043f\u043e\u0447\u0435\u043c\u0443;<\/li>\n<li>\u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 confidence \u2014 \u0441\u0434\u0432\u0438\u0433 \u043a \u043a\u0440\u0430\u044f\u043c = \u0445\u0440\u0443\u043f\u043a\u043e\u0441\u0442\u044c.<\/li>\n<\/ul>\n<p>\u0412 eval-harness \u0444\u043b\u0430\u0433\u0438 drift \u0437\u0430\u0448\u0438\u0442\u044b \u044f\u0432\u043d\u043e:<\/p>\n<table>\n<thead>\n<tr>\n<th>\u0421\u0438\u0433\u043d\u0430\u043b<\/th>\n<th>\u041f\u043e\u0440\u043e\u0433<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0441\u0440\u0435\u0434\u043d\u044f\u044f \u0434\u043b\u0438\u043d\u0430 <code>output<\/code> vs snapshot<\/td>\n<td>\u0441\u0434\u0432\u0438\u0433 &gt; 30%<\/td>\n<\/tr>\n<tr>\n<td>std <code>confidence<\/code><\/td>\n<td>\u0440\u043e\u0441\u0442 &gt; 20%<\/td>\n<\/tr>\n<tr>\n<td>\u0441\u0440\u0435\u0434\u043d\u0435\u0435 \u0447\u0438\u0441\u043b\u043e <code>chunks<\/code><\/td>\n<td>\u0441\u0434\u0432\u0438\u0433 &gt; 30%<\/td>\n<\/tr>\n<tr>\n<td>mean confidence \u043a \u043a\u0440\u0430\u044f\u043c<\/td>\n<td>&lt; 0.35 \u0438\u043b\u0438 &gt; 0.85 \u043f\u0440\u0438 \u0437\u0430\u043c\u0435\u0442\u043d\u043e\u043c \u043e\u0442\u043b\u0438\u0447\u0438\u0438 \u043e\u0442 baseline<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u042d\u0442\u043e \u043d\u0435 \u00ab\u043d\u0430\u0443\u0447\u043d\u0430\u044f \u0438\u0441\u0442\u0438\u043d\u0430 \u043f\u043e\u0440\u043e\u0433\u043e\u0432\u00bb \u2014 \u044d\u0442\u043e \u0440\u0430\u0431\u043e\u0447\u0438\u0439 \u0441\u0442\u043e\u043f-\u043a\u0440\u0430\u043d: \u0435\u0441\u043b\u0438 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u0443\u0435\u0445\u0430\u043b\u043e \u0431\u0435\u0437 \u043e\u0431\u044a\u044f\u0441\u043d\u0435\u043d\u0438\u044f, \u0440\u0435\u043b\u0438\u0437 \u0441\u0442\u043e\u043f\u043e\u0440\u0438\u0442\u0441\u044f, \u043f\u043e\u043a\u0430 \u043a\u0442\u043e-\u0442\u043e \u043d\u0435 \u0440\u0430\u0437\u0431\u0435\u0440\u0451\u0442 \u043f\u0440\u0438\u0447\u0438\u043d\u0443.<\/p>\n<p>\u041f\u043e\u0441\u043b\u0435 \u043f\u0440\u0438\u043d\u044f\u0442\u043e\u0433\u043e \u0432\u044b\u043a\u0430\u0442\u0430 snapshot \u043e\u0431\u043d\u043e\u0432\u043b\u044f\u044e\u0442 \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u043e (<code>--update-snapshot<\/code>). \u0412 release pipeline \u044d\u0442\u043e\u0442 \u0444\u043b\u0430\u0433 \u043d\u0435 \u043f\u0435\u0440\u0435\u0434\u0430\u044e\u0442 \u2014 \u0438\u043d\u0430\u0447\u0435 baseline \u00ab\u043f\u043e\u0434\u0441\u0442\u0440\u043e\u0438\u0442\u0441\u044f\u00bb \u043f\u043e\u0434 \u0434\u0435\u0433\u0440\u0430\u0434\u0430\u0446\u0438\u044e.<\/p>\n<h3>Layer 3 \u2014 Human spot-check<\/h3>\n<p>\u041f\u0440\u043e\u0446\u0435\u0441\u0441, \u043d\u0435 \u043a\u043e\u0434. \u041e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u0435\u043d \u043f\u0435\u0440\u0435\u0434 \u043f\u0435\u0440\u0432\u044b\u043c \u043f\u0440\u043e\u0434\u0434\u0435\u043f\u043b\u043e\u0435\u043c \u043d\u043e\u0432\u043e\u0433\u043e \u0432\u0438\u0434\u0430 \u0432\u044b\u0432\u043e\u0434\u0430: \u0434\u043e\u043c\u0435\u043d\u043d\u044b\u0439 \u0447\u0435\u043b\u043e\u0432\u0435\u043a \u0447\u0438\u0442\u0430\u0435\u0442 10\u201320 \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u0445 \u0432\u044b\u0432\u043e\u0434\u043e\u0432 \u0441 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u044b\u043c\u0438 \u0432\u043e\u043f\u0440\u043e\u0441\u0430\u043c\u0438:<\/p>\n<ul>\n<li>\u043d\u0435\u0442 \u043b\u0438 \u0434\u0430\u043d\u043d\u044b\u0445, \u043a \u043a\u043e\u0442\u043e\u0440\u044b\u043c \u043c\u043e\u0434\u0435\u043b\u044c \u043d\u0435 \u0434\u043e\u043b\u0436\u043d\u0430 \u0438\u043c\u0435\u0442\u044c \u0434\u043e\u0441\u0442\u0443\u043f;<\/li>\n<li>\u0441\u0447\u0451\u043b \u0431\u044b \u044d\u043a\u0441\u043f\u0435\u0440\u0442 \u044d\u0442\u043e \u043a\u043e\u0440\u0440\u0435\u043a\u0442\u043d\u044b\u043c;<\/li>\n<li>\u043d\u0435\u0442 \u043b\u0438 adversarial-\u044d\u043a\u0441\u043f\u043b\u0443\u0430\u0442\u0430\u0446\u0438\u0438.<\/li>\n<\/ul>\n<p>\u041d\u0430 \u043f\u043e\u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0440\u0435\u043b\u0438\u0437\u0430\u0445 spot-check \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u0442\u0441\u044f \u043f\u0440\u0438 \u0441\u043c\u0435\u043d\u0435 \u043c\u043e\u0434\u0435\u043b\u0438, \u043f\u0440\u043e\u043c\u043f\u0442\u0430, \u043a\u043e\u0440\u043f\u0443\u0441\u0430 \u0438\u043b\u0438 \u043f\u043e\u0441\u043b\u0435 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u0430. \u0411\u0435\u0437 \u044d\u0442\u043e\u0433\u043e \u0441\u043b\u043e\u044f \u0432\u044b \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0438\u0440\u0443\u0435\u0442\u0435 \u0441\u043b\u0435\u043f\u043e\u0442\u0443: regression \u0437\u0435\u043b\u0451\u043d\u044b\u0439, distribution \u00ab\u0432 \u0434\u043e\u043f\u0443\u0441\u043a\u0435\u00bb, \u0430 \u0441\u043c\u044b\u0441\u043b \u043e\u0442\u0432\u0435\u0442\u0430 \u0443\u0436\u0435 \u043c\u0443\u0441\u043e\u0440.<\/p>\n<h2>\u0410\u043d\u0442\u0438\u043f\u0430\u0442\u0442\u0435\u0440\u043d demo-grade<\/h2>\n<p><strong>Demo grade<\/strong> \u2014 \u0432\u044b\u0432\u043e\u0434, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u043a\u043e\u0440\u0440\u0435\u043a\u0442\u043d\u044b\u043c \u0432 \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u0438\u0440\u0443\u0435\u043c\u044b\u0445 \u0443\u0441\u043b\u043e\u0432\u0438\u044f\u0445 \u0438 \u043f\u0430\u0434\u0430\u0435\u0442 \u043d\u0430 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u043c \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0438 \u0432\u0445\u043e\u0434\u043e\u0432.<\/p>\n<p>\u041a\u0430\u043a \u044d\u0442\u043e \u043e\u0431\u044b\u0447\u043d\u043e \u0443\u0435\u0437\u0436\u0430\u0435\u0442 \u0432 \u043f\u0440\u043e\u0434:<\/p>\n<ol>\n<li>\u0444\u0438\u0447\u0443 \u043f\u0438\u043b\u044f\u0442 \u0438 \u00ab\u0442\u0435\u0441\u0442\u0438\u0440\u0443\u044e\u0442\u00bb \u043d\u0430 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u0445 \u0438\u0437 \u0431\u0440\u0438\u0444\u0430;<\/li>\n<li>\u0431\u0440\u0438\u0444 \u043f\u0438\u0441\u0430\u043b\u0438, \u0447\u0442\u043e\u0431\u044b \u043f\u043e\u043a\u0430\u0437\u0430\u0442\u044c capability, \u0430 \u043d\u0435 stress-test;<\/li>\n<li>\u0441\u0442\u0435\u0439\u0434\u0436\u0438\u043d\u0433 \u043a\u043e\u0440\u043c\u044f\u0442 \u043a\u0443\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u043c \u0438\u043b\u0438 \u0441\u0438\u043d\u0442\u0435\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u043c \u0434\u0430\u0442\u0430\u0441\u0435\u0442\u043e\u043c;<\/li>\n<li>\u0440\u0435\u0432\u044c\u044e\u0435\u0440 \u043e\u0434\u043e\u0431\u0440\u044f\u0435\u0442 \u043f\u043e \u00ab\u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u0440\u0430\u0437\u0443\u043c\u043d\u043e\u00bb;<\/li>\n<li>\u043f\u0440\u043e\u0434 \u043e\u0442\u043a\u0440\u044b\u0432\u0430\u0435\u0442 \u0434\u043b\u0438\u043d\u043d\u044b\u0439 \u0445\u0432\u043e\u0441\u0442, \u043a\u043e\u0442\u043e\u0440\u043e\u0433\u043e \u0432 \u0434\u0435\u043c\u043e \u043d\u0435 \u0431\u044b\u043b\u043e.<\/li>\n<\/ol>\n<p>\u0421\u0438\u043c\u043f\u0442\u043e\u043c\u044b, \u0447\u0442\u043e \u0432\u044b \u0440\u0435\u043b\u0438\u0437\u0438\u0442\u0435 demo-grade:<\/p>\n<ul>\n<li>\u0432\u0445\u043e\u0434\u044b eval = \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u0438\u0437 \u043f\u0438\u0442\u0447\u0430 \u0438\u043b\u0438 sprint review;<\/li>\n<li>\u0434\u043e \u0440\u0435\u043b\u0438\u0437\u0430 \u0444\u0438\u0447\u0443 \u043d\u0435 \u0433\u043e\u043d\u044f\u043b\u0438 \u043d\u0430 \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u0445 production-\u0432\u0445\u043e\u0434\u0430\u0445;<\/li>\n<li>\u00abeval\u00bb \u2014 \u044d\u0442\u043e \u0441\u0442\u0435\u0439\u043a\u0445\u043e\u043b\u0434\u0435\u0440\u0441\u043a\u043e\u0435 \u0434\u0435\u043c\u043e, \u0430 \u043d\u0435 \u043c\u0430\u0442\u0435\u043c\u0430\u0442\u0438\u043a\u0430;<\/li>\n<li>pass criteria \u0444\u043e\u0440\u043c\u0443\u043b\u0438\u0440\u0443\u044e\u0442 <strong>\u043f\u043e\u0441\u043b\u0435<\/strong> \u043f\u0440\u043e\u0433\u043e\u043d\u0430 (\u00ab\u043d\u0443 \u0432\u0440\u043e\u0434\u0435 \u043e\u043a\u00bb).<\/li>\n<\/ul>\n<p>\u0424\u0438\u043a\u0441 \u043a\u043e\u0440\u043e\u0442\u043a\u0438\u0439 \u0438 \u043d\u0435\u043f\u0440\u0438\u044f\u0442\u043d\u044b\u0439: <strong>demo dataset \u2260 eval dataset<\/strong>. \u0414\u0435\u043c\u043e \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043b\u0443\u0447\u0448\u0438\u0439 \u0441\u043b\u0443\u0447\u0430\u0439. Eval \u043c\u0435\u0440\u044f\u0435\u0442 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u0435 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435.<\/p>\n<h2>\u0410\u0440\u0442\u0435\u0444\u0430\u043a\u0442: eval-harness \u0432 CI<\/h2>\n<p>\u041c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0439 harness \u043f\u043e\u0434 Layer 1 + Layer 2: <a href=\"https:\/\/github.com\/dobryakov\/eval-harness\">github.com\/dobryakov\/eval-harness<\/a>. Python, YAML-\u043a\u0435\u0439\u0441\u044b, JSONL \u0432\u0445\u043e\u0434\u043e\u0432, snapshot, adapter interface.<\/p>\n<p>Exit codes \u2014 \u0447\u0442\u043e\u0431\u044b gate \u0431\u044b\u043b \u043c\u0430\u0448\u0438\u043d\u043e\u0447\u0438\u0442\u0430\u0435\u043c\u044b\u043c:<\/p>\n<table>\n<thead>\n<tr>\n<th>Exit code<\/th>\n<th>\u0417\u043d\u0430\u0447\u0435\u043d\u0438\u0435<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><code>0<\/code><\/td>\n<td>\u043c\u043e\u0436\u043d\u043e \u0440\u0435\u043b\u0438\u0437\u0438\u0442\u044c<\/td>\n<\/tr>\n<tr>\n<td><code>1<\/code><\/td>\n<td>\u0443\u043f\u0430\u043b Layer 1 (regression)<\/td>\n<\/tr>\n<tr>\n<td><code>2<\/code><\/td>\n<td>\u0443\u043f\u0430\u043b Layer 2 (distribution drift)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u0411\u044b\u0441\u0442\u0440\u044b\u0439 \u0441\u0442\u0430\u0440\u0442:<\/p>\n<pre><code class=\"language-bash\">pip install -r requirements.txt\n\npython run_eval.py --layer regression\npython run_eval.py --layer distribution --inputs inputs.jsonl\npython run_eval.py --all --inputs inputs.jsonl<\/code><\/pre>\n<p>\u0421\u0432\u043e\u044e \u043c\u043e\u0434\u0435\u043b\u044c \/ \u0430\u0433\u0435\u043d\u0442\u0430 \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0430\u044e\u0442 \u0447\u0435\u0440\u0435\u0437 <code>adapter.py<\/code>:<\/p>\n<pre><code class=\"language-python\">def run(input: dict) -&gt; dict:\n    return {\n        &quot;output&quot;: str,        # \u0442\u0435\u043a\u0441\u0442 \u043e\u0442\u0432\u0435\u0442\u0430\n        &quot;chunks&quot;: list,       # retrieved chunks\n        &quot;confidence&quot;: float,  # 0..1\n    }<\/code><\/pre>\n<p>\u0412 CI \u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e:<\/p>\n<pre><code class=\"language-yaml\">- run: pip install -r requirements.txt\n- run: python run_eval.py --all --inputs inputs.jsonl<\/code><\/pre>\n<p>\u041a\u0430\u0436\u0434\u044b\u0439 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043d\u0435 \u0434\u043e\u043b\u0436\u0435\u043d \u043f\u043e\u0432\u0442\u043e\u0440\u0438\u0442\u044c\u0441\u044f, \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0441\u044f permanent regression-\u043a\u0435\u0439\u0441\u043e\u043c \u0432 <code>cases\/<\/code>. \u0418\u043d\u0430\u0447\u0435 \u0432\u044b \u00ab\u043f\u043e\u0447\u0438\u043d\u0438\u043b\u0438\u00bb \u043e\u0434\u0438\u043d \u0440\u0430\u0437 \u0438 \u0436\u0434\u0451\u0442\u0435 \u0442\u043e\u0442 \u0436\u0435 \u0431\u0430\u0433 \u043f\u043e\u0434 \u0434\u0440\u0443\u0433\u0438\u043c \u043f\u0440\u043e\u043c\u043f\u0442\u043e\u043c.<\/p>\n<p>\u0421\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0430 \u0440\u0435\u043f\u043e\u0437\u0438\u0442\u043e\u0440\u0438\u044f:<\/p>\n<pre><code>eval-harness\/\n  run_eval.py\n  adapter.py\n  layers\/\n    regression.py\n    distribution.py\n  cases\/\n    *.yaml\n  snapshots\/\n    latest.json\n  inputs.jsonl<\/code><\/pre>\n<p>Layer 3 \u0432 \u043a\u043e\u0434 \u043d\u0435 \u0432\u0445\u043e\u0434\u0438\u0442 \u2014 \u0438 \u044d\u0442\u043e \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e: human spot-check \u043d\u0435\u043b\u044c\u0437\u044f \u00ab\u0437\u0430\u043a\u0440\u044b\u0442\u044c \u0437\u0435\u043b\u0451\u043d\u043e\u0439 \u0433\u0430\u043b\u043e\u0447\u043a\u043e\u0439 \u0441\u043a\u0440\u0438\u043f\u0442\u0430\u00bb.<\/p>\n<h2>\u0427\u0435\u043a\u043b\u0438\u0441\u0442 \u043f\u0435\u0440\u0435\u0434 \u0440\u0435\u043b\u0438\u0437\u043e\u043c, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043c\u0435\u043d\u044f\u0435\u0442 AI-\u0432\u044b\u0432\u043e\u0434<\/h2>\n<ul>\n<li>[ ] Owner \u043d\u0430\u0437\u0432\u0430\u043d: \u043a\u0442\u043e \u043f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u0435\u0442 AI-output quality<\/li>\n<li>[ ] Regression set \u043f\u0440\u043e\u0433\u043d\u0430\u043d: \u0432\u0441\u0435 reference-\u043a\u0435\u0439\u0441\u044b \u0437\u0435\u043b\u0451\u043d\u044b\u0435<\/li>\n<li>[ ] \u041d\u0435\u0442 \u043d\u043e\u0432\u044b\u0445 failure modes \u043e\u0442\u043d\u043e\u0441\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u043f\u0440\u043e\u0448\u043b\u043e\u0433\u043e \u0440\u0435\u043b\u0438\u0437\u0430<\/li>\n<li>[ ] Distribution check \u0441\u0434\u0435\u043b\u0430\u043d (\u0434\u043b\u044f RAG \/ \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440\u043e\u0432): \u043d\u0435\u0442 \u043d\u0435\u043e\u0431\u044a\u044f\u0441\u043d\u0451\u043d\u043d\u043e\u0433\u043e \u0441\u0434\u0432\u0438\u0433\u0430<\/li>\n<li>[ ] Human spot-check \u0441\u0434\u0435\u043b\u0430\u043d, \u0435\u0441\u043b\u0438: \u043d\u043e\u0432\u0430\u044f capability \/ \u0441\u043c\u0435\u043d\u0430 \u043c\u043e\u0434\u0435\u043b\u0438 \/ \u043f\u0440\u043e\u043c\u043f\u0442\u0430 \/ \u0431\u044b\u043b \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442<\/li>\n<li>[ ] Eval dataset \u2260 demo dataset<\/li>\n<li>[ ] Pass criteria \u0437\u0430\u0444\u0438\u043a\u0441\u0438\u0440\u043e\u0432\u0430\u043d\u044b <strong>\u0434\u043e<\/strong> \u043f\u0440\u043e\u0433\u043e\u043d\u0430, \u043d\u0435 \u043f\u043e\u0441\u043b\u0435<\/li>\n<\/ul>\n<h2>\u041e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u0438\u044f \u043c\u0435\u0442\u043e\u0434\u0430<\/h2>\n<ul>\n<li><strong>\u041f\u043e\u0440\u043e\u0433\u0438 distribution \u2014 \u044d\u0432\u0440\u0438\u0441\u0442\u0438\u043a\u0430.<\/strong> 30% \/ 20% \u043b\u043e\u0432\u044f\u0442 \u0433\u0440\u0443\u0431\u044b\u0439 drift; \u0442\u043e\u043d\u043a\u0443\u044e \u0441\u043c\u044b\u0441\u043b\u043e\u0432\u0443\u044e \u0434\u0435\u0433\u0440\u0430\u0434\u0430\u0446\u0438\u044e \u043f\u0440\u0438 \u0441\u0442\u0430\u0431\u0438\u043b\u044c\u043d\u043e\u0439 \u0434\u043b\u0438\u043d\u0435 \u043e\u0442\u0432\u0435\u0442\u0430 Layer 2 \u043c\u043e\u0436\u0435\u0442 \u043f\u0440\u043e\u043f\u0443\u0441\u0442\u0438\u0442\u044c \u2014 \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u043e\u0441\u0442\u0430\u0451\u0442\u0441\u044f Layer 3.<\/li>\n<li><strong>\u041f\u0443\u0441\u0442\u043e\u0439 <code>origin<\/code> \u0438 \u043a\u0435\u0439\u0441\u044b \u00ab\u0441 \u043f\u043e\u0442\u043e\u043b\u043a\u0430\u00bb.<\/strong> \u0415\u0441\u043b\u0438 regression \u0441\u043e\u0431\u0440\u0430\u043d \u0438\u0437 \u00ab\u043a\u0440\u0430\u0441\u0438\u0432\u044b\u0445\u00bb \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u0432, \u0432\u044b \u0441\u043d\u043e\u0432\u0430 \u043f\u043e\u043b\u0443\u0447\u0438\u043b\u0438 demo-grade, \u0442\u043e\u043b\u044c\u043a\u043e \u0432 YAML.<\/li>\n<li><strong>Vacuous pass \u043d\u0430 \u0447\u0430\u043d\u043a\u0430\u0445.<\/strong> \u041d\u0435\u0432\u0435\u0440\u043d\u044b\u0439 \u0444\u043e\u0440\u043c\u0430\u0442 needle \u0432 <code>retrieved_chunks<\/code> \u0434\u0430\u0451\u0442 \u043b\u043e\u0436\u043d\u044b\u0439 \u0437\u0435\u043b\u0451\u043d\u044b\u0439. \u0421\u043d\u0430\u0447\u0430\u043b\u0430 \u0441\u0435\u0440\u0438\u0430\u043b\u0438\u0437\u0443\u0439\u0442\u0435 \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u0439 chunk \u0442\u0430\u043a \u0436\u0435, \u043a\u0430\u043a adapter, \u043f\u043e\u0442\u043e\u043c \u043f\u0438\u0448\u0438\u0442\u0435 \u043a\u0435\u0439\u0441.<\/li>\n<li><strong>\u041d\u0435\u0442 owner \u2014 \u043d\u0435\u0442 gate.<\/strong> \u0425\u0430\u0440\u043d\u0435\u0441\u0441 \u0432 CI \u0431\u0435\u0437 \u0447\u0435\u043b\u043e\u0432\u0435\u043a\u0430, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043e\u0442\u0432\u0435\u0447\u0430\u0435\u0442 \u0437\u0430 \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0430\u0446\u0438\u044e \u043a\u0440\u0430\u0441\u043d\u043e\u0433\u043e, \u043f\u0440\u0435\u0432\u0440\u0430\u0449\u0430\u0435\u0442\u0441\u044f \u0432 \u0448\u0443\u043c, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043d\u0430\u0443\u0447\u0430\u0442\u0441\u044f \u043e\u0431\u0445\u043e\u0434\u0438\u0442\u044c (<code>continue-on-error: true<\/code>).<\/li>\n<li><strong>Snapshot \u043f\u043e\u0441\u043b\u0435 \u0434\u0435\u0433\u0440\u0430\u0434\u0430\u0446\u0438\u0438.<\/strong> <code>--update-snapshot<\/code> \u0432 \u043c\u043e\u043c\u0435\u043d\u0442 \u00ab\u043d\u0443 \u043b\u0430\u0434\u043d\u043e, \u0442\u0430\u043a \u0438 \u0431\u0443\u0434\u0435\u0442\u00bb \u0437\u0430\u043a\u0440\u0435\u043f\u043b\u044f\u0435\u0442 \u043f\u043b\u043e\u0445\u043e\u0435 \u043a\u0430\u043a \u043d\u043e\u0440\u043c\u0443.<\/li>\n<li><strong>\u041d\u0435 \u043a\u0430\u0436\u0434\u044b\u0439 \u0434\u0435\u043f\u043b\u043e\u0439.<\/strong> \u0420\u0430\u0437\u0434\u0443\u0442\u044b\u0439 \u043e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0439 eval \u043d\u0430 \u043b\u044e\u0431\u043e\u0439 hotfix \u0443\u0431\u0438\u0432\u0430\u0435\u0442 adoption; \u0434\u0435\u0440\u0436\u0438\u0442\u0435 \u0442\u0440\u0438\u0433\u0433\u0435\u0440 \u00ab\u043c\u0435\u043d\u044f\u0435\u0442 \u043b\u0438 \u044d\u0442\u043e \u0432\u0432\u043e\u0434\/\u0432\u044b\u0432\u043e\u0434 \u043c\u043e\u0434\u0435\u043b\u0438\u00bb.<\/li>\n<\/ul>\n<h2>\u0414\u043b\u044f \u043a\u043e\u0433\u043e<\/h2>\n<p>\u0414\u043b\u044f CTO, Head of AI \u0438 tech lead, \u0443 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0443\u0436\u0435 \u0435\u0441\u0442\u044c \u043f\u0438\u043b\u043e\u0442\u044b \u0438 \u0432\u043e\u043f\u0440\u043e\u0441 \u0441\u043e\u0432\u0435\u0442\u0430 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u043e\u0432 \u0437\u0432\u0443\u0447\u0438\u0442 \u043d\u0435 \u00ab\u0435\u0441\u0442\u044c \u043b\u0438 \u0443 \u043d\u0430\u0441 AI\u00bb, \u0430 \u00ab\u0447\u0442\u043e \u0443 \u043d\u0430\u0441 \u0441 AI-\u043a\u0430\u0447\u0435\u0441\u0442\u0432\u043e\u043c\u00bb. \u041e\u0442\u0432\u0435\u0442 \u00ab\u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043b\u0438\u00bb \u0437\u0434\u0435\u0441\u044c \u0441\u043b\u0430\u0431\u044b\u0439. \u041e\u0442\u0432\u0435\u0442 \u00ab\u0432\u043e\u0442 regression \u0438 distribution diff \u043a \u043f\u0440\u043e\u0448\u043b\u043e\u043c\u0443 \u0440\u0435\u043b\u0438\u0437\u0443\u00bb \u2014 \u0440\u0430\u0431\u043e\u0447\u0438\u0439.<\/p>\n<p>\u0421\u043e\u0441\u0435\u0434\u043d\u0438\u0435 \u0441\u043b\u043e\u0438 \u0442\u043e\u0439 \u0436\u0435 \u0434\u0438\u0441\u0446\u0438\u043f\u043b\u0438\u043d\u044b: <a href=\"https:\/\/www.dobryakov.com\/blog\/2194\/\">\u043f\u0435\u0440\u0438\u043c\u0435\u0442\u0440 \u0430\u0433\u0435\u043d\u0442\u0430 \u0431\u0435\u0437 \u043e\u043f\u043e\u0440\u044b \u043d\u0430 system prompt<\/a> (\u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u043d\u044b\u0439 least privilege) \u0438 <a href=\"https:\/\/www.dobryakov.com\/blog\/2196\/\">\u043e\u043d\u0431\u043e\u0440\u0434\u0438\u043d\u0433 \u0441\u043a\u0438\u043b\u043b\u043e\u0432<\/a> (\u043f\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0430\u0441\u0441\u0438\u0441\u0442\u0435\u043d\u0442\u0430 \u0434\u043e \u0442\u043e\u0433\u043e, \u043a\u0430\u043a \u043e\u043d\u043e \u0440\u0430\u0437\u044a\u0435\u0445\u0430\u043b\u043e\u0441\u044c). Eval \u2014 gate \u043d\u0430 \u0432\u044b\u0432\u043e\u0434 \u043c\u043e\u0434\u0435\u043b\u0438; \u043e\u043d\u0438 \u2014 \u043d\u0430 \u0434\u043e\u0441\u0442\u0443\u043f \u0438 \u043d\u0430 \u0432\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u043d\u043e\u0432\u043e\u0433\u043e \u043f\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u044f.<\/p>\n<h2>\u0418\u0442\u043e\u0433<\/h2>\n<p>\u0415\u0441\u043b\u0438 eval \u0441\u043e\u0432\u043f\u0430\u0434\u0430\u0435\u0442 \u0441 \u043f\u0438\u0442\u0447\u0435\u043c \u2014 \u0432\u044b \u043f\u0440\u043e\u0432\u0435\u0440\u044f\u0435\u0442\u0435 \u043d\u0435 \u043f\u0440\u043e\u0434\u0430\u043a\u0448\u043d, \u0430 \u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0446\u0438\u044e. \u0420\u0430\u0437\u0434\u0435\u043b\u0438\u0442\u0435 demo \u0438 eval, \u0441\u043e\u0431\u0435\u0440\u0438\u0442\u0435 regression \u0438\u0437 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u043e\u0432, \u043c\u0435\u0440\u044f\u0439\u0442\u0435 distribution diff, \u043d\u0430\u0437\u043d\u0430\u0447\u044c\u0442\u0435 \u043e\u0434\u043d\u043e\u0433\u043e owner \u0438 \u043d\u0435 \u0432\u044b\u043f\u0443\u0441\u043a\u0430\u0439\u0442\u0435 \u0444\u0438\u0447\u0443, \u043f\u043e\u043a\u0430 \u0442\u0440\u0438 \u0441\u043b\u043e\u044f \u043d\u0435 \u043f\u0440\u043e\u0448\u043b\u0438 \u043f\u043e \u043a\u0440\u0438\u0442\u0435\u0440\u0438\u044e \u2014 \u043d\u0435 \u043f\u043e\u0442\u043e\u043c\u0443 \u0447\u0442\u043e \u00ab\u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u0445\u043e\u0440\u043e\u0448\u043e\u00bb.<\/p>\n<p>\u0420\u0435\u043f\u043e\u0437\u0438\u0442\u043e\u0440\u0438\u0439: <a href=\"https:\/\/github.com\/dobryakov\/eval-harness\">github.com\/dobryakov\/eval-harness<\/a><\/p>\n<p>Howto: <a href=\"https:\/\/www.dobryakov.com\/howto\/eval-harness-agent-drift.html\">dobryakov.com\/howto\/eval-harness-agent-drift.html<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Demo-grade eval \u043e\u0434\u043e\u0431\u0440\u044f\u0435\u0442 \u0444\u0438\u0447\u0443 \u043d\u0430 \u0442\u0435\u0445 \u0436\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u0445, \u0447\u0442\u043e \u0438 \u043f\u0438\u0442\u0447. \u0414\u0430\u043b\u044c\u0448\u0435 \u043f\u0440\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u0434\u043b\u0438\u043d\u043d\u044b\u0439 \u0445\u0432\u043e\u0441\u0442. \u0422\u0440\u0438 \u0441\u043b\u043e\u044f \u2014 regression \u0438\u0437 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u043e\u0432, distribution diff \u043a \u0441\u043d\u0430\u043f\u0448\u043e\u0442\u0443, human spot-check \u2014 \u0438 \u043e\u0434\u0438\u043d named owner. \u041c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0439 harness: github.com\/dobryakov\/eval-harness.<\/p>\n","protected":false},"author":0,"featured_media":2247,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[153,179],"tags":[181,24,183,158,180,175,182,178],"class_list":["post-2246","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-engineering","category-mlops","tag-agent-drift","tag-ci","tag-demo-grade","tag-enterprise","tag-eval","tag-rag","tag-release-gate","tag-vibe-coding"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"Eval \u043a\u0430\u043a release-\u043a\u0440\u0438\u0442\u0435\u0440\u0438\u0439: regression \u0438\u0437 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u043e\u0432, distribution diff \u043a \u0441\u043d\u0430\u043f\u0448\u043e\u0442\u0443, human spot-check. Exit codes \u0432 CI. \u041f\u0440\u0438\u043c\u0435\u0440 \u2014 eval-harness.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<link rel=\"canonical\" href=\"https:\/\/www.dobryakov.com\/blog\/2246\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.10\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"\u0413\u0440\u0438\u0433\u043e\u0440\u0438\u0439 \u0414\u043e\u0431\u0440\u044f\u043a\u043e\u0432 - \u0411\u043b\u043e\u0433 \u043f\u0440\u043e IT+AI | \u0411\u043b\u043e\u0433 \u0413\u0440\u0438\u0433\u043e\u0440\u0438\u044f \u0414\u043e\u0431\u0440\u044f\u043a\u043e\u0432\u0430: \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u043f\u0440\u043e\u0435\u043a\u0442\u0430\u043c\u0438, \u043c\u0435\u043d\u0435\u0434\u0436\u043c\u0435\u043d\u0442, \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0438 \u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"\u041a\u0430\u043a \u0441\u0434\u0435\u043b\u0430\u0442\u044c eval \u043a\u0440\u0438\u0442\u0435\u0440\u0438\u0435\u043c \u0440\u0435\u043b\u0438\u0437\u0430 AI-\u0444\u0438\u0447\u0438, \u0430 \u043d\u0435 \u043e\u0446\u0435\u043d\u043a\u043e\u0439 \u00ab\u043d\u0430 \u0434\u0435\u043c\u043e \u0432\u044b\u0433\u043b\u044f\u0434\u0435\u043b\u043e \u043d\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u043e\u00bb\" \/>\n\t\t<meta property=\"og:description\" content=\"Eval \u043a\u0430\u043a release-\u043a\u0440\u0438\u0442\u0435\u0440\u0438\u0439: regression \u0438\u0437 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u043e\u0432, distribution diff \u043a \u0441\u043d\u0430\u043f\u0448\u043e\u0442\u0443, human spot-check. Exit codes \u0432 CI. \u041f\u0440\u0438\u043c\u0435\u0440 \u2014 eval-harness.\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/www.dobryakov.com\/blog\/2246\/\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2026-07-26T19:08:49+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2026-07-26T19:10:04+00:00\" \/>\n\t\t<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n\t\t<meta name=\"twitter:title\" content=\"\u041a\u0430\u043a \u0441\u0434\u0435\u043b\u0430\u0442\u044c eval \u043a\u0440\u0438\u0442\u0435\u0440\u0438\u0435\u043c \u0440\u0435\u043b\u0438\u0437\u0430 AI-\u0444\u0438\u0447\u0438, \u0430 \u043d\u0435 \u043e\u0446\u0435\u043d\u043a\u043e\u0439 \u00ab\u043d\u0430 \u0434\u0435\u043c\u043e \u0432\u044b\u0433\u043b\u044f\u0434\u0435\u043b\u043e \u043d\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u043e\u00bb\" \/>\n\t\t<meta name=\"twitter:description\" content=\"Eval \u043a\u0430\u043a release-\u043a\u0440\u0438\u0442\u0435\u0440\u0438\u0439: regression \u0438\u0437 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u043e\u0432, distribution diff \u043a \u0441\u043d\u0430\u043f\u0448\u043e\u0442\u0443, human spot-check. Exit codes \u0432 CI. \u041f\u0440\u0438\u043c\u0435\u0440 \u2014 eval-harness.\" \/>\n\t\t<script type=\"application\/ld+json\" class=\"aioseo-schema\">\n\t\t\t{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"BlogPosting\",\"@id\":\"https:\\\/\\\/www.dobryakov.com\\\/blog\\\/2246\\\/#blogposting\",\"name\":\"\\u041a\\u0430\\u043a \\u0441\\u0434\\u0435\\u043b\\u0430\\u0442\\u044c eval \\u043a\\u0440\\u0438\\u0442\\u0435\\u0440\\u0438\\u0435\\u043c \\u0440\\u0435\\u043b\\u0438\\u0437\\u0430 AI-\\u0444\\u0438\\u0447\\u0438, \\u0430 \\u043d\\u0435 \\u043e\\u0446\\u0435\\u043d\\u043a\\u043e\\u0439 \\u00ab\\u043d\\u0430 \\u0434\\u0435\\u043c\\u043e \\u0432\\u044b\\u0433\\u043b\\u044f\\u0434\\u0435\\u043b\\u043e \\u043d\\u043e\\u0440\\u043c\\u0430\\u043b\\u044c\\u043d\\u043e\\u00bb\",\"headline\":\"\\u041a\\u0430\\u043a \\u0441\\u0434\\u0435\\u043b\\u0430\\u0442\\u044c eval \\u043a\\u0440\\u0438\\u0442\\u0435\\u0440\\u0438\\u0435\\u043c 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