Observability and tracing
Trace agent behavior into a structured timeline of steps so teams can understand what happened, in what order, and why.
LangChain
Freemium
LangSmith is LangChain’s platform for observing, evaluating, and deploying AI agents.
What is LangChain?
LangChain provides LangSmith, an engineering platform for observing, evaluating, and deploying AI agents, alongside open source frameworks for building them. The platform is aimed at developers and teams that need to make agent experimentation repeatable, improve quality with test and review workflows, and ship production systems with more control.
The product spans the agent development lifecycle: tracing and analytics for understanding behavior, evaluation tools for scoring agents with human and automated feedback, deployment infrastructure for long-running and collaborative agents, and Fleet for turning routine tasks into recurring agents. LangSmith is presented as framework-agnostic and supports Python, TypeScript, Go, and Java SDKs.
What can LangChain do?
Evaluation workflows
Run offline and online evaluations, compare prompt or model versions, and use human feedback to calibrate automated scoring.
Production deployment infrastructure
Deploy agents with memory, conversational threads, durable checkpointing, and support for human-in-the-loop interactions.
Automated issue diagnosis
Build agents on LangSmith Engine, which clusters production failures, identifies root causes in traces and code, and proposes fixes for review.
Fleet for task automation
Create recurring agents for everyday tasks in Fleet, with templates, tool connections, API triggering, and shared feedback loops.
Multi-language, framework-agnostic access
Use Python, TypeScript, Go, or Java SDKs and connect to agent stacks through framework-agnostic tracing.
Use Cases
“Debugging agent behavior”
Inspect traces, thread history, and analytics to pinpoint where a long or branching agent flow went wrong.
“Measuring quality over time”
Run curated datasets and production traffic through online and offline evals to compare versions and catch regressions before release.
“Running production agents”
Use deployment infrastructure to ship long-running agents that need memory, conversational state, checkpointing, and human-in-the-loop steps.
“Automating routine tasks”
Convert recurring work such as research, follow-ups, or status checks into agents that can be triggered through everyday language or API calls.
“Collecting human review”
Use annotation queues and shared scoring criteria to gather expert feedback and calibrate judge-based evaluation.
Frequently Asked Questions
Do I have to use LangChain or LangGraph to use LangSmith?
Yes. The source says LangSmith is framework-agnostic, and you can use it with LangGraph, custom Python, or other frameworks through the SDK or API.
What kinds of evaluations does LangSmith support?
LangSmith supports human evaluation through annotation queues, heuristic checks, LLM-as-judge evaluators, pairwise comparisons, and custom evaluators in Python or TypeScript.
Can I run evaluations in CI/CD?
Yes. The source says LangSmith integrates with pytest, Vitest, and GitHub workflows so teams can run evals on every PR or nightly build.
What plans does LangSmith offer?
The pricing page shows a Developer plan, a Plus plan, and an Enterprise plan. Developer is self-serve for solo users, Plus is for teams, and Enterprise covers advanced hosting, security, support, and deployment needs.
Will LangSmith train on my data?
No. The source says LangSmith does not train on customer data, and traces, prompts, and outputs remain private to the organization.
Quick Facts
- Category
- AI agent engineering platform
- Primary users
- Developers and teams building AI agents
- Framework stance
- Framework-agnostic
- SDKs mentioned
- Python, TypeScript, Go, Java
- Pricing shape
- Free Developer plan, paid Plus plan, Enterprise pricing on contact
- Source domain
- langchain.com
LangChain Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 88
LangChain Alternatives
LiveKit
livekit.io
LiveKit is an open source platform for building, deploying, and observing voice, video, and physical AI agents with Python or TypeScript, plus LiveKit Cloud for production.
Arize AX
arize.com
Arize AX is an AI engineering platform for tracing, evaluating, and improving AI agents and applications with observability, experimentation, and AI-assisted debugging.
讯飞星辰Agent平台
agent.xfyun.cn
iFLYTEK’s enterprise AI agent platform for building and deploying agents with Prompt, Workflow, and Agentic Workflow.
TrueFoundry
truefoundry.com
TrueFoundry is an enterprise AI and MCP gateway for deploying, governing, and observing LLM and agent workloads across SaaS or private infrastructure.
DeerFlow
deerflow.tech
DeerFlow is an open-source, LangChain-based framework for building super agents that research, code, and create with sandboxed tools, memory, and subagents. It supports long-running, multi-step tasks such as deep research, analysis, and content generation.
Thesys Agent Builder
www.thesys.dev
Thesys Agent Builder is a no-code platform for building and deploying AI agents with interactive UI, connecting data, controlling behavior, and launching standalone or embedded experiences.