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
Use the LangGraph Functional API to deploy Strands, CrewAI, and other agent frameworks.
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.
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.
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