{"id":2891,"date":"2026-03-27T10:12:19","date_gmt":"2026-03-27T10:12:19","guid":{"rendered":"https:\/\/www.mhtechin.com\/support\/?p=2891"},"modified":"2026-03-27T10:12:19","modified_gmt":"2026-03-27T10:12:19","slug":"mhtechin-observability-for-ai-agents-with-langsmith","status":"publish","type":"post","link":"https:\/\/www.mhtechin.com\/support\/mhtechin-observability-for-ai-agents-with-langsmith\/","title":{"rendered":"MHTECHIN \u2013 Observability for AI Agents with LangSmith"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">1) Start with the Reality: Why Observability Matters<\/h3>\n\n\n\n<p>Building AI agents is exciting\u2014but running them in production is where most challenges appear.<\/p>\n\n\n\n<p>Common problems include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Agents giving inconsistent or incorrect responses<\/li>\n\n\n\n<li>Tools being used incorrectly<\/li>\n\n\n\n<li>Unexpected delays in responses<\/li>\n\n\n\n<li>Increasing operational costs<\/li>\n\n\n\n<li>Difficulty in debugging complex workflows<\/li>\n<\/ul>\n\n\n\n<p>This is why <strong>observability<\/strong> is essential.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Observability allows you to understand exactly what your AI agent is doing at every step\u2014from input to final output.<\/p>\n<\/blockquote>\n\n\n\n<p>Platforms like <strong>LangSmith<\/strong>, developed by LangChain, are specifically built to provide this deep visibility.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">2) What is Observability in AI Agents?<\/h3>\n\n\n\n<p>Observability refers to the ability to <strong>track, analyze, and understand<\/strong> the internal behavior of an AI agent.<\/p>\n\n\n\n<p>It focuses on four key areas:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Inputs<\/strong> \u2013 What the user asked<\/li>\n\n\n\n<li><strong>Processing<\/strong> \u2013 How the agent reasoned<\/li>\n\n\n\n<li><strong>Actions<\/strong> \u2013 What tools or APIs were used<\/li>\n\n\n\n<li><strong>Outputs<\/strong> \u2013 Final response<\/li>\n<\/ul>\n\n\n\n<p>This helps developers move from guesswork to <strong>data-driven debugging and optimization<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">3) Visualizing Agent Observability<\/h3>\n\n\n\n<figure class=\"wp-block-image aligncenter is-resized\"><img decoding=\"async\" src=\"https:\/\/images.openai.com\/static-rsc-4\/_ZgYV_lnyhZa769cNIUPl85mzjTPgAG3l36qrvaJZR6pt6A58LBXucTo372JKHWkBOO3CjDpvjOk3G2kQAUULNYfzUECRF2qjRlAT4eitj9Ixce5gKk5NaF8ewlG3yUckj8VOiJujoMdMMXBp8rxruJpqrnbWoQn3PqBz3MTjBU?purpose=inline\" alt=\"https:\/\/images.openai.com\/static-rsc-4\/MMTR3TecNAb_jykN4PjwZdkTfwXOSSqMAKy12Y0LO1QOKvkvd2fYa-pEXsXY_OJCkaJ0Chp3X0nxunvnxEdVtxdmb3bXZtGhTrq057-5DnjL0adgkkNM_J16ULFbC--GH2CUnfTDR_gx4YLulCJDhV0NyuYqWgrKaTqMK-iMVbj0yWmr5ov76Qg61wxzPq25?purpose=fullsize\" style=\"width:525px;height:auto\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image aligncenter is-resized\"><img decoding=\"async\" src=\"https:\/\/images.openai.com\/static-rsc-4\/vvl8yIRkY-SFoBstlrh3rtZtgaUXofKgw5a80uKh7Mfe_2GaH8fxCTx0cXp3gbIfHnUDCdfO6Bowm1sefOBWN4hW2sbC8kMq3m9q-7ZlSfbirDFz8cbaqxg-KONDSbZlkXoGlNuAD3rT5w2ZVPVc2TlYth0iof3EBXRmH6bv_aY?purpose=inline\" alt=\"https:\/\/images.openai.com\/static-rsc-4\/pRgkcPw1IgAC2qVXHau6xzpTFlWAiTXEOSJuzu_c26VZh74MAi3tVoo74pFifwmp0t4W1K_JDPqxy-ZG86gwnvLErtxKOo8_o1Iu9hykX7sIwgwsZRxFOGxDRdqt4XLThPPPi3EkBvBY-SGv2XHUXwrXnxPIbRau6uzHLW24g3kQqxtBuHRaQGBqRUh0TZxr?purpose=fullsize\" style=\"aspect-ratio:0.6668930035778643;width:318px;height:auto\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image aligncenter is-resized\"><img decoding=\"async\" src=\"https:\/\/images.openai.com\/static-rsc-4\/4SQS9SkgvYTb9oG0ZBsOL03lW8zPODGw7ZADpeybFVTDZZfib7yG-8klWfmXf_hd9iGdpCU0Rf1Dl_es-AvkY0Z-1sV0KLGcqcFd7Te41hHMRcMzrUD39ODQGCT9FO-ZOGmDE5VYrONzeyl2BaPOLwWfh-O0jxYzAUg8Hivt8jY?purpose=inline\" alt=\"https:\/\/images.openai.com\/static-rsc-4\/iGcUBcZIQYESN2ttXoRz1AIR3nPFKsxHj9mgJMoWoALLkhOCeCYOrFjvNyYeT0IHfAtI8cCgicOfVAHe9tBxJw0HEloOg9iqPR8_H43vTmiZZJ0ugba7_qttFH-AFq3tK-MGXWhbwzgr54Fhay733VclE8ES4nn579MmHnBGG1FKEl3pKOB_dy62Vs0sgIjN?purpose=fullsize\" style=\"width:695px;height:auto\" \/><\/figure>\n\n\n\n<p>6<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Observability Flow Explained<\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li>A user sends a query<\/li>\n\n\n\n<li>The agent processes the request<\/li>\n\n\n\n<li>It may call tools or APIs<\/li>\n\n\n\n<li>Each step is recorded<\/li>\n\n\n\n<li>Metrics like time and cost are tracked<\/li>\n\n\n\n<li>Everything is visualized in a dashboard<\/li>\n<\/ol>\n\n\n\n<p>This creates a <strong>transparent system<\/strong> where every decision is visible.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">4) Key Pillars of Observability<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Pillar<\/th><th>Explanation<\/th><th>Why It Matters<\/th><\/tr><\/thead><tbody><tr><td>Logs<\/td><td>Record of events and interactions<\/td><td>Helps track what happened<\/td><\/tr><tr><td>Traces<\/td><td>Step-by-step execution path<\/td><td>Shows how decisions were made<\/td><\/tr><tr><td>Metrics<\/td><td>Performance data (time, cost, errors)<\/td><td>Helps optimize system<\/td><\/tr><tr><td>Evaluation<\/td><td>Measuring output quality<\/td><td>Ensures accuracy<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">5) Understanding LangSmith<\/h3>\n\n\n\n<p><strong>LangSmith<\/strong> is a specialized platform designed to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Monitor AI agent behavior<\/li>\n\n\n\n<li>Debug workflows<\/li>\n\n\n\n<li>Track performance metrics<\/li>\n\n\n\n<li>Evaluate output quality<\/li>\n<\/ul>\n\n\n\n<p>Unlike traditional logging systems, it provides <strong>visual traces of AI reasoning<\/strong>, making it easier to understand complex workflows.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">6) How LangSmith Works (Conceptual Flow)<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Step<\/th><th>What Happens<\/th><th>Insight Gained<\/th><\/tr><\/thead><tbody><tr><td>Input<\/td><td>User sends query<\/td><td>Understand user intent<\/td><\/tr><tr><td>Processing<\/td><td>Agent reasons through steps<\/td><td>Identify logic issues<\/td><\/tr><tr><td>Tool Calls<\/td><td>APIs\/tools executed<\/td><td>Detect incorrect usage<\/td><\/tr><tr><td>Output<\/td><td>Response generated<\/td><td>Evaluate accuracy<\/td><\/tr><tr><td>Logging<\/td><td>Data stored<\/td><td>Enable debugging<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">7) What You Can Observe Using LangSmith<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">7.1 Traces (Step-by-Step Visibility)<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Shows the full journey of a request<\/li>\n\n\n\n<li>Displays each reasoning step<\/li>\n\n\n\n<li>Highlights tool usage<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">7.2 Logs (Event Tracking)<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Records inputs and outputs<\/li>\n\n\n\n<li>Captures errors<\/li>\n\n\n\n<li>Tracks system events<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">7.3 Metrics (Performance Monitoring)<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Metric<\/th><th>Meaning<\/th><th>Why It\u2019s Important<\/th><\/tr><\/thead><tbody><tr><td>Latency<\/td><td>Time taken to respond<\/td><td>Impacts user experience<\/td><\/tr><tr><td>Token Usage<\/td><td>Amount of model usage<\/td><td>Affects cost<\/td><\/tr><tr><td>Error Rate<\/td><td>Frequency of failures<\/td><td>Indicates reliability<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">7.4 Evaluations (Quality Control)<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Compare outputs across versions<\/li>\n\n\n\n<li>Measure accuracy<\/li>\n\n\n\n<li>Benchmark performance<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">8) Benefits of Observability<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Problem<\/th><th>Without Observability<\/th><th>With LangSmith<\/th><\/tr><\/thead><tbody><tr><td>Debugging<\/td><td>Difficult and slow<\/td><td>Clear and fast<\/td><\/tr><tr><td>Performance<\/td><td>Unknown<\/td><td>Measurable<\/td><\/tr><tr><td>Cost Control<\/td><td>Poor<\/td><td>Optimized<\/td><\/tr><tr><td>Reliability<\/td><td>Low<\/td><td>High<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">9) Debugging AI Agents (Step-by-Step Explanation)<\/h3>\n\n\n\n<p>Observability makes debugging structured:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Check the user input<\/li>\n\n\n\n<li>Analyze the trace (step-by-step flow)<\/li>\n\n\n\n<li>Identify where the mistake happened<\/li>\n\n\n\n<li>Fix prompts, tools, or logic<\/li>\n\n\n\n<li>Retest and validate<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">Common Issues and Fixes<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Issue<\/th><th>Cause<\/th><th>Solution<\/th><\/tr><\/thead><tbody><tr><td>Incorrect answers<\/td><td>Weak instructions<\/td><td>Improve prompts<\/td><\/tr><tr><td>Wrong tool usage<\/td><td>Poor logic<\/td><td>Refine agent design<\/td><\/tr><tr><td>Slow responses<\/td><td>Heavy processing<\/td><td>Optimize workflow<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">10) Advanced Observability Techniques<\/h3>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">10.1 Prompt Evaluation<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Test different prompts<\/li>\n\n\n\n<li>Compare outputs<\/li>\n\n\n\n<li>Select best-performing version<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">10.2 Dataset Testing<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Run agents on predefined datasets<\/li>\n\n\n\n<li>Measure consistency and accuracy<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">10.3 A\/B Testing<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Compare two versions of an agent<\/li>\n\n\n\n<li>Identify better configuration<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">10.4 Feedback Loops<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Collect user feedback<\/li>\n\n\n\n<li>Continuously improve the agent<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">11) Integration with AI Systems<\/h3>\n\n\n\n<p>LangSmith works best when integrated into a complete AI stack:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Component<\/th><th>Role<\/th><\/tr><\/thead><tbody><tr><td>Agent Framework<\/td><td>Executes logic<\/td><\/tr><tr><td>Memory System<\/td><td>Stores context<\/td><\/tr><tr><td>Data Layer<\/td><td>Provides knowledge<\/td><\/tr><tr><td>Observability<\/td><td>Tracks everything<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">12) Production Monitoring Strategy<\/h3>\n\n\n\n<p>To maintain high-quality AI systems, monitor:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Response time<\/li>\n\n\n\n<li>Error rates<\/li>\n\n\n\n<li>Token usage<\/li>\n\n\n\n<li>User satisfaction<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">Monitoring Approach<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Continuously track performance<\/li>\n\n\n\n<li>Set alerts for failures<\/li>\n\n\n\n<li>Analyze trends over time<\/li>\n\n\n\n<li>Optimize regularly<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">13) Common Challenges in Observability<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Challenge<\/th><th>Explanation<\/th><th>Solution<\/th><\/tr><\/thead><tbody><tr><td>Too much data<\/td><td>Excess logs<\/td><td>Filter important data<\/td><\/tr><tr><td>High cost<\/td><td>Over-monitoring<\/td><td>Optimize tracking<\/td><\/tr><tr><td>Complex traces<\/td><td>Hard to understand<\/td><td>Simplify workflows<\/td><\/tr><tr><td>Missing insights<\/td><td>Poor metrics<\/td><td>Improve evaluation<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">14) Best Practices<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Enable observability from the beginning<\/li>\n\n\n\n<li>Monitor continuously<\/li>\n\n\n\n<li>Focus on meaningful metrics<\/li>\n\n\n\n<li>Optimize prompts regularly<\/li>\n\n\n\n<li>Track both performance and cost<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">15) MHTECHIN Observability Framework<\/h3>\n\n\n\n<p>MHTECHIN follows a structured approach to AI observability:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Observability Pipeline<\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Capture agent activity<\/li>\n\n\n\n<li>Analyze performance<\/li>\n\n\n\n<li>Identify issues<\/li>\n\n\n\n<li>Optimize system<\/li>\n\n\n\n<li>Repeat continuously<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">Integrated System<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Layer<\/th><th>Role<\/th><\/tr><\/thead><tbody><tr><td>Agents<\/td><td>Perform tasks<\/td><\/tr><tr><td>Memory<\/td><td>Store context<\/td><\/tr><tr><td>Data<\/td><td>Provide knowledge<\/td><\/tr><tr><td>Observability<\/td><td>Monitor system<\/td><\/tr><tr><td>Deployment<\/td><td>Deliver results<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">16) Real-World Use Cases<\/h3>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">AI Chatbots<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Monitor conversations<\/li>\n\n\n\n<li>Improve response accuracy<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">Enterprise AI Systems<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Track workflows<\/li>\n\n\n\n<li>Ensure reliability<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">AI SaaS Platforms<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Optimize cost and performance<\/li>\n\n\n\n<li>Maintain quality<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">Research Applications<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Evaluate outputs<\/li>\n\n\n\n<li>Improve models<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">17) Future of AI Observability<\/h3>\n\n\n\n<p>Observability is evolving toward:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Self-monitoring AI systems<\/li>\n\n\n\n<li>Automated debugging<\/li>\n\n\n\n<li>Real-time optimization<\/li>\n\n\n\n<li>AI-driven performance tuning<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">18) Conclusion<\/h3>\n\n\n\n<p><strong>LangSmith<\/strong> is a critical component for building reliable AI systems.<\/p>\n\n\n\n<p>It transforms AI development from:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Trial-and-error \u2192 Data-driven engineering<\/li>\n\n\n\n<li>Hidden processes \u2192 Transparent workflows<\/li>\n\n\n\n<li>Unpredictable systems \u2192 Controlled performance<\/li>\n<\/ul>\n\n\n\n<p>By integrating observability, you can build AI agents that are:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reliable<\/li>\n\n\n\n<li>Scalable<\/li>\n\n\n\n<li>Cost-efficient<\/li>\n<\/ul>\n\n\n\n<p>MHTECHIN helps organizations implement observability strategies that ensure long-term success of AI systems.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">19) FAQ (SEO Optimized)<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">What is observability in AI agents?<\/h4>\n\n\n\n<p>It is the ability to track and understand how an AI agent works internally.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">What is LangSmith used for?<\/h4>\n\n\n\n<p>It is used to monitor, debug, and evaluate AI agents.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">Why is observability important?<\/h4>\n\n\n\n<p>It helps improve performance, reduce errors, and optimize costs.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">Can observability improve AI accuracy?<\/h4>\n\n\n\n<p>Yes, by identifying and fixing issues in reasoning and outputs.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">Is LangSmith only for LangChain?<\/h4>\n\n\n\n<p>It is primarily designed for LangChain but concepts apply to all AI systems.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>1) Start with the Reality: Why Observability Matters Building AI agents is exciting\u2014but running them in production is where most challenges appear. Common problems include: This is why observability is essential. Observability allows you to understand exactly what your AI agent is doing at every step\u2014from input to final output. Platforms like LangSmith, developed by [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2891","post","type-post","status-publish","format-standard","hentry","category-support"],"_links":{"self":[{"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/posts\/2891","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/users\/67"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/comments?post=2891"}],"version-history":[{"count":1,"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/posts\/2891\/revisions"}],"predecessor-version":[{"id":2894,"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/posts\/2891\/revisions\/2894"}],"wp:attachment":[{"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/media?parent=2891"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/categories?post=2891"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/tags?post=2891"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}