In the rapidly evolving world of AI, building autonomous agents powered by large language models (LLMs) promises immense potential—but it comes with significant challenges. Understanding how agents behave, why they make certain decisions, and how to ensure consistent quality isn’t straightforward. Non-deterministic outputs, complex tool calls, and unexpected edge cases can turn promising prototypes into frustrating black boxes.
This is where LangSmith steps in. Developed by the team behind LangChain, LangSmith is a powerful, framework-agnostic platform designed to support the full lifecycle of agent engineering. Whether you’re using LangChain, LangGraph, or any other framework (or even custom code), LangSmith provides the tools to observe, evaluate, and deploy agents with confidence.
Key Features of LangSmith for Agent Development
LangSmith addresses the core pain points in agent building through three pillars:
- Observability: Gain complete visibility into your agent’s inner workings. LangSmith traces every step of execution—from user inputs and model interactions to tool calls and decision points. This allows you to debug issues in real-time, monitor latency, token usage, and costs, and identify patterns in production traffic. With features like real-time monitoring, alerting, and clustering of similar conversations, you can quickly spot and resolve problems before they impact users.
- Evaluation: Track and improve agent quality systematically. LangSmith lets you run offline and online evaluations, build datasets from production data, and use automated scorers (like LLM-as-a-judge) or human feedback via annotation queues. This helps catch regressions, iterate on prompts, and ensure your agent performs reliably across diverse scenarios—turning “okay” results into consistently great ones.
- Deployment: Ship and scale agents effortlessly. LangSmith provides infrastructure tailored for long-running agent workloads, including memory management, auto-scaling, human-in-the-loop support, and enterprise-grade security. Deploy with one click, monitor performance in production, and create feedback loops for continuous improvement.
Because LangSmith is framework-agnostic, it integrates seamlessly regardless of your stack, making it ideal for teams building sophisticated agents that need to handle real-world complexity.
Get Hands-On with the “Getting Started with LangSmith” Video Series
The best way to see LangSmith in action is through its dedicated video series. Starting with tracing basics and progressing to advanced topics like prompt engineering, datasets, evaluations, automations, and dashboards, this playlist walks you through practical examples.
Watch the series here: Getting Started with LangSmith Playlist
These tutorials use real code examples (available on GitHub) to demonstrate how LangSmith transforms agent development from guesswork into a data-driven process.
Start Building Reliable Agents Today
Ready to ship more reliable AI agents? LangSmith offers a free tier to get started—no credit card required.
Sign up and try LangSmith for free: smith.langchain.com
Whether you’re prototyping a simple chatbot or deploying multi-agent systems for enterprise use, LangSmith equips you with the observability, evaluation, and deployment tools needed to succeed in production. Dive in and elevate your agent engineering game!
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