Chat Langchain — Communication skill for Claude Code
A documentation assistant deployed as a Managed Deep Agent.
How to install Chat Langchain
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open langchain-ai/chat-langchain and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Chat Langchain does
A documentation assistant deployed as a Managed Deep Agent.
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README
Chat LangChain
A documentation assistant deployed as a Managed Deep Agent.
[](https://langchain-ai.github.io/langgraph/) [](https://python.org) [](LICENSE)
Overview
This is a documentation assistant agent that helps answer questions about LangChain, LangGraph, and LangSmith. It demonstrates how to build a production-ready agent using:
- Managed Deep Agents - For managed deployment, identity, and connectors
- LangChain Agents - For agent creation with middleware support
- Guardrails - To keep conversations on-topic
The repo also includes a Next.js frontend in `frontend/` for the public chat UI.
Features
- Documentation Search - Searches official LangChain docs via managed MCP
- Support KB - Searches the Pylon knowledge base for known issues
- Link Validation - Verifies URLs before including in responses
- Guardrails - Filters off-topic queries
Quick Start
Prerequisites
- Python 3.11+
- uv (recommended) or pip
Installation
# Clone the repository
git clone https://github.com/langchain-ai/chat-langchain.git
cd chat-langchain
# Install dependencies with uv
uv sync
# Or with pip
pip install -e .
Configuration
# Copy environment template
cp .env.example .env
# Edit .env with your API keys
Required Environment Variables
| Variable | Description |
|---|---|
ANTHROPIC_API_KEY |
Anthropic API key (or use another provider) |
PYLON_API_KEY |
Pylon API key for support KB |
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