LangSmith Deployment - Docs by LangChain

Deployable products

LangSmith Deployment is framework-agnostic which means you can deploy agents built with:

Deep Agents

Create, run, and operate Managed Deep Agents through the private preview API.

LangGraph (and LangChain)

Use the LangGraph CLI and app templates to deploy a LangGraph application to LangSmith.

Google ADK

Deploy Google Agent Development Kit (ADK) agent as a LangGraph with the deployments-wrap-sdk package.

Other frameworks

Deploy Claude Agent SDK, Strands, CrewAI, AutoGen, and other agent frameworks with the Functional API or deployments-wrap-sdk.

Deployment environments

You can run the same Agent Server runtime in several hosting models. A standalone server is the lightest option: you run containers yourself without the LangSmith control plane. For managed deployments through the UI and APIs, use Cloud or Self-hosted (full platform in your infrastructure).

Cloud

Fully managed by LangChain, running on AWS and GCP. Create deployments from GitHub in the LangSmith UI or with langgraph deploy. Requires a Plus plan or above.

Standalone server

Deploy Agent Server with Docker, Compose, or Kubernetes. Bring your own PostgreSQL, Redis, and LangSmith license; no control plane. Optional LangSmith tracing to Cloud or a self-hosted instance.

Self-hosted

Run the full LangSmith platform, including the control plane and data plane, in your cloud (for example on Kubernetes). Requires Enterprise plan. Integrates observability, evaluation, and agent deployment in one private stack.

For a feature-level comparison and infrastructure setup, see Platform setup.

Build on the Agent Server runtime

Once deployed, agents work with Agent Server’s execution model: assistants for configuration, threads for state, and runs for workloads. For capabilities, tutorials, server customization, and operations, see Develop agents.

Find and fix failures with Engine

Once agents are in production, use LangSmith Engine to detect recurring failures in their traces, diagnose root causes, and resolve them.

Full-stack web apps

Ship a LangChain.js agent and chat UI together as a single web app. The Vite example uses LangSmith Deployment as the agent backend behind a separate UI. Other examples embed the agent inside the web framework’s route handlers and ship to the host platform.

Full-stack web apps

Ship a LangChain.js chat app: embed the agent in Next.js, SvelteKit, Nuxt, Cloudflare Workers, or Deno Deploy (no Agent Server required), or pair LangSmith Deployment with a Vite + React UI.