LangGraph Platform

LangGraph Platform

https://langchain-ai.github.io/langgraph/concepts/template_applications/

Template Applications¶

Templates are open source reference applications designed to help you get started quickly when building with LangGraph. They provide working examples of common agentic workflows that can be customized to your needs.

You can create an application from a template using the LangGraph CLI.

Requirements

• Python >= 3.11
• LangGraph CLI: Requires langchain-cli[inmem] >= 0.1.58

Install the LangGraph CLI¶

 

pip install "langgraph-cli[inmem]" --upgrade

Available Templates¶ 

Template	Description	Python	JS/TS
New LangGraph Project	A simple, minimal chatbot with memory.	Repo	Repo
ReAct Agent	A simple agent that can be flexibly extended to many tools.	Repo	Repo
Memory Agent	A ReAct-style agent with an additional tool to store memories for use across threads.	Repo	Repo
Retrieval Agent	An agent that includes a retrieval-based question-answering system.	Repo	Repo
Data-Enrichment Agent	An agent that performs web searches and organizes its findings into a structured format.	Repo	Repo

 

 

Launch Local LangGraph Server

https://langchain-ai.github.io/langgraph/tutorials/langgraph-platform/local-server/

Launch LangGraph Server¶ 🚀 启动 LangGraph Server¶

 

langgraph dev

This will start up the LangGraph API server locally. If this runs successfully, you should see something like:
这将在本地启动 LangGraph API 服务器。如果成功运行，您应该会看到如下内容：

Ready! 准备！

• API: http://localhost:2024 应用程序接口：http://localhost:2024

• Docs: http://localhost:2024/docs 文档：http://localhost:2024/docs

• LangGraph Studio Web UI: https://smith.langchain.com/studio/?baseUrl=http://127.0.0.1:2024 LangGraph Studio Web 界面：https://smith.langchain.com/studio/?baseUrl=http://127.0.0.1:2024

 

Deployment Options

https://langchain-ai.github.io/langgraph/tutorials/deployment/#deployment-options

• Cloud SaaS: Connect to your GitHub repositories and deploy LangGraph Servers to LangChain's cloud. We manage everything.
• Self-Hosted Data Plane: Create deployments from the Control Plane UI and deploy LangGraph Servers to your cloud. We manage the control plane, you manage the deployments.
• Self-Hosted Control Plane: Create deployments from a self-hosted Control Plane UI and deploy LangGraph Servers to your cloud. You manage everything.
  Self-Hosted Control Plane：从自托管Control Plane UI创建部署并将 LangGraph 服务器部署到您的云中。您管理一切。
• Standalone Container: Deploy LangGraph Server Docker images however you like.
  Standalone Container：随心所欲地部署 LangGraph Server Docker 镜像。

A quick comparison... 快速比较......

	Cloud SaaS 云 SaaS	Self-Hosted Data Plane 自托管数据平面	Self-Hosted Control Plane 自托管控制平面	Standalone Container 独立容器
Control Plane UI/API 控制平面 UI/API	Yes	Yes	Yes	No
CI/CD CI/CD	Managed internally by platform 由平台内部管理	Managed externally by you 由您外部管理	Managed externally by you 由您外部管理	Managed externally by you 由您外部管理
Data/Compute Residency 数据/计算驻留	LangChain’s cloud LangChain 的云	Your cloud 您的云	Your cloud 您的云	Your cloud 您的云
Required Permissions 所需权限	None	See details here. 查看详细信息here。	See details here. 查看详细信息here。	None
LangSmith Compatibility LangSmith 兼容性	Trace to LangSmith SaaS Trace 到 LangSmith SaaS	Trace to LangSmith SaaS Trace 到 LangSmith SaaS	Trace to Self-Hosted LangSmith 跟踪到自托管 LangSmith	Optional tracing 可选跟踪
Pricing 定价	Plus	Enterprise 企业	Enterprise 企业	Developer 开发 人员

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Standalone Container¶

https://langchain-ai.github.io/langgraph/concepts/langgraph_standalone_container/

https://langchain-ai.github.io/langgraph/cloud/deployment/standalone_container/#prerequisites

https://langchain-ai.github.io/langgraph/concepts/langgraph_cli/

 

TEST

https://github.com/fanqingsong/new-langgraph-project