{"id":9190,"date":"2025-12-18T07:02:22","date_gmt":"2025-12-18T07:02:22","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/12\/18\/production-grade-observability-for-ai-agents-a-minimal-code-configuration-first-approach\/"},"modified":"2025-12-18T07:02:22","modified_gmt":"2025-12-18T07:02:22","slug":"production-grade-observability-for-ai-agents-a-minimal-code-configuration-first-approach","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/12\/18\/production-grade-observability-for-ai-agents-a-minimal-code-configuration-first-approach\/","title":{"rendered":"Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach"},"content":{"rendered":"<p>    Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>LLM-as-a-Judge, regression testing, and end-to-end traceability of multi-agent LLM systems<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/production-grade-observability-for-ai-agents-a-minimal-code-configuration-first-approach\/\">Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Partha Sarkar<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/production-grade-observability-for-ai-agents-a-minimal-code-configuration-first-approach\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach LLM-as-a-Judge, regression testing, and end-to-end traceability of multi-agent LLM systems The post Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach appeared first on Towards Data Science. Partha Sarkar Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[678,2804,62,69,67,447,2631],"tags":[1125,4447,3553],"class_list":["post-9190","post","type-post","status-publish","format-standard","hentry","category-agentic-ai","category-ai-engineering","category-aimldsaimlds","category-artificial-intelligence","category-deep-dives","category-llm-agent","category-observability","tag-first","tag-grade","tag-production"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/9190"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=9190"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/9190\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=9190"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=9190"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=9190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}