May 19
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LLM-powered AI agents are rapidly moving into production — but building agents is only half the challenge. The real challenge is monitoring, evaluating, debugging, and improving them reliably. In this episode, we explore the top 18 LLM observability tools helping developers and AI teams monitor prompts, trace workflows, evaluate outputs, detect hallucinations, and optimize AI systems in 2026. Featured platforms include: • LangSmith • Langfuse • Helicone • Lunary • TruLens • Arize Phoenix • Datadog LLM Observability • Portkey • OpenLLMetry • PromptLayer • Weights & Biases • HoneyHive • Humanloop • Parea AI • Galileo LLM Studio • DeepEval • Braintrust • Vellum We cover: ✅ LLM tracing & debugging ✅ Prompt monitoring ✅ AI evaluation workflows ✅ Hallucination detection ✅ Human feedback systems ✅ Cost & latency monitoring ✅ OpenTelemetry for AI systems ✅ Production AI observability Perfect for: AI engineers, developers, startups, ML teams, LLM builders, and anyone deploying AI agents in production. Blog Link: https://medium.com/towardsdev/top-19-llm-observability-tools-to-monitor-evaluate-ai-agents-2026-guide-9096d4b857ae Explore our products: https://techlatest.net/support/ Catch us on: Website: https://www.techlatest.net/ Newsletter: https://substack.com/@techlatest Twitter/X: https://twitter.com/TechlatestNet LinkedIn: https://www.linkedin.com/in/techlatest-net/ YouTube: https://www.youtube.com/@techlatest_net/ Medium Blogs: https://medium.com/@techlatest.net Reddit Community: https://www.reddit.com/user/techlatest_net/ Like | Follow | Subscribe to the newsletter