Chat Langchain
Description
> A documentation assistant deployed as a Managed Deep Agent.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
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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