Middleware integrations

Integrate with middleware using LangChain Python.

Browse available middleware for different providers or contribute your own to the ecosystem. Learn more about how middleware works in the middleware overview and how to use middleware with Deep Agents in the Deep Agents docs.

Share your middleware

Middleware enables context engineering, harness customization, and runtime safety controls. It is a useful extension point in LangChain and we love highlighting what the community builds with it:

Add an official integration

Follow the contributing guide to build and publish a middleware package.

Share a community middleware

Open a PR to the docs repo to add your middleware to the table below.

Official integrations

Provider	Middleware available	Source
Anthropic	Prompt caching, bash tool, text editor, memory, and file search	langchain-ai/langchain
AWS	Prompt caching	langchain-ai/langchain-aws
Microsoft Foundry	Text moderation, image moderation, prompt shield, protected material, and groundedness	langchain-ai/langchain-azure
OpenAI	Content moderation	langchain-ai/langchain

Community integrations

Middleware	Description	Source
Cisco AI Defense	Runtime security inspection	cisco-ai-defense/ai-defense-langchain-middleware
compact-middleware	Claude Code’s compaction engine as LangChain middleware. Multi-level context compaction for long-running agents.	emanueleielo/compact-middleware
langchain-collapse	Preventive context management. Collapses consecutive tool-call groups before they fill the context window.	johanity/langchain-collapse
langchain-task-steering	Implicit state-machine middleware for ordered task pipelines with per-task tool scoping, dynamic prompt injection, and composable completion validation.	edvinhallvaxhiu/langchain-task-steering
advisor-middleware	Claude Code’s advisor pattern as LangChain middleware. Pairs a fast executor model with a powerful advisor model that intervenes only on critical decisions.	emanueleielo/advisor-middleware
langchain-router	Phase-based model routing. Routes execution turns to a fast model, keeps the primary for planning and recovery.	johanity/langchain-router
CopilotKit	CopilotKit CopilotKitMiddleware and FastAPI bridge for Deep Agents, create_agent graphs, AG-UI, and the React and runtime clients.	CopilotKit/CopilotKit
eager-tools	Reduces agent wall-clock latency by dispatching each tool call the moment its streaming block closes, overlapping tool execution with LLM generation.	cloudthinker-ai/eager-tools

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