--- title: "LLM Evaluation and AI Observability for Agent Monitoring" url: https://daily.dev/posts/llm-evaluation-and-ai-observability-for-agent-monitoring-dcaarbtie source_url: https://blog.jetbrains.com/pycharm/2026/05/llm-evaluation-and-ai-observability-for-agent-monitoring type: article source: "JetBrains" published: 2026-05-19T10:56:39.275Z updated: 2026-05-19T10:57:06.450Z tags: ["devtools", "llm", "ai-agents", "langchain"] reading_time: 21 upvotes: 1 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # LLM Evaluation and AI Observability for Agent Monitoring **[JetBrains](https://daily.dev/sources/jetbrains)** · 21 min read · 1 upvotes · 0 comments ## Summary A comprehensive guide to LLM evaluation and AI observability for production AI agents. Covers core evaluation metrics including hallucination rate, toxicity scores, and frameworks like DeepEval and RAGAS. Explains why traditional LLM evaluation falls short for multi-step agents and introduces advanced metrics such as task completion rate, tool usage correctness, step-by-step reasoning accuracy, and groundedness. Also covers AI observability concepts, popular monitoring tools (LangSmith, LangFuse, OpenLLMetry, Phoenix, TruLens, Datadog), and best practices including cost/latency monitoring, combining offline and online evaluation, and human-in-the-loop oversight. PyCharm's AI Agents Debugger and Hugging Face integration are highlighted as practical tools for implementing these workflows. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [LLM evaluation metrics explained: how to measure AI system quality](https://daily.dev/posts/llm-evaluation-metrics-explained-how-to-measure-ai-system-quality-ynrvblcpe) · Netguru · 0 upvotes · 0 comments --- Tags: [#devtools](https://daily.dev/tags/devtools), [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#langchain](https://daily.dev/tags/langchain) [View this post on daily.dev](https://daily.dev/posts/llm-evaluation-and-ai-observability-for-agent-monitoring-dcaarbtie)