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Updated At Apr 3, 2026, 03:47 AM
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License MIT
---
name: langchain-install-auth
description: |
Install and configure LangChain SDK with provider authentication.
Use when setting up a new LangChain project, configuring API keys
for OpenAI/Anthropic/Google, or initializing @langchain/core in Node.js or Python.
Trigger: "install langchain", "setup langchain", "langchain auth",
"configure langchain API key", "langchain credentials".
allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(pip:*), Bash(pnpm:*), Grep
version: 1.0.0
license: MIT
author: Jeremy Longshore <[email protected] >
compatible-with: claude-code, codex, openclaw
tags: [saas, langchain, api, authentication]
---
# LangChain Install & Auth
## Overview
Set up LangChain SDK packages and configure provider authentication. Covers the modular `@langchain/*` package ecosystem for Node.js/TypeScript and `langchain-*` packages for Python.
## Prerequisites
- Node.js 18+ or Python 3.9+
- Package manager (npm/pnpm or pip/poetry)
- API key from at least one LLM provider (OpenAI, Anthropic, Google)
## Instructions
### Step 1: Install Core Packages (TypeScript)
```bash
set -euo pipefail
# Core + one provider (pick what you need)
npm install @langchain/core @langchain/openai
# Additional providers
npm install @langchain/anthropic # Claude models
npm install @langchain/google-genai # Gemini models
npm install @langchain/community # 100+ community integrations
# Common companions
npm install @langchain/textsplitters # Text chunking for RAG
npm install @langchain/pinecone # Pinecone vector store
npm install zod # Schema validation (structured output)
```
### Step 2: Install Core Packages (Python)
```bash
set -euo pipefail
pip install langchain langchain-core
# Provider packages (install only what you need)
pip install langchain-openai # ChatOpenAI, OpenAIEmbeddings
pip install langchain-anthropic # ChatAnthropic
pip install langchain-google-genai # ChatGoogleGenerativeAI
pip install langchain-community # Community integrations
```
### Step 3: Configure Authentication
```bash
# Create .env file (add to .gitignore!)
cat > .env << 'ENVEOF'
# OpenAI — https://platform.openai.com/api-keys
OPENAI_API_KEY=sk-...
# Anthropic — https://console.anthropic.com/
ANTHROPIC_API_KEY=sk-ant-...
# Google — https://aistudio.google.com/apikey
GOOGLE_API_KEY=AI...
# LangSmith (optional but recommended) — https://smith.langchain.com
LANGSMITH_TRACING=true
LANGSMITH_API_KEY=lsv2_...
LANGSMITH_PROJECT=my-project
ENVEOF
echo '.env' >> .gitignore
```
### Step 4: Verify Connection (TypeScript)
```typescript
import { ChatOpenAI } from "@langchain/openai";
import { ChatAnthropic } from "@langchain/anthropic";
import "dotenv/config";
// OpenAI
const openai = new ChatOpenAI({ model: "gpt-4o-mini", temperature: 0 });
const res1 = await openai.invoke("Say 'OpenAI connected'");
console.log("OpenAI:", res1.content);
// Anthropic
const anthropic = new ChatAnthropic({ model: "claude-sonnet-4-20250514" });
const res2 = await anthropic.invoke("Say 'Anthropic connected'");
console.log("Anthropic:", res2.content);
```
### Step 5: Verify Connection (Python)
```python
import os
from dotenv import load_dotenv
load_dotenv()
from langchain_openai import ChatOpenAI
from langchain_anthropic import ChatAnthropic
# OpenAI
llm = ChatOpenAI(model="gpt-4o-mini", temperature=0)
print(llm.invoke("Say 'connected'").content)
# Anthropic
llm2 = ChatAnthropic(model="claude-sonnet-4-20250514")
print(llm2.invoke("Say 'connected'").content)
```
## Package Architecture
```
@langchain/core # Base abstractions: Runnables, prompts, output parsers
├── @langchain/openai # ChatOpenAI, OpenAIEmbeddings
├── @langchain/anthropic # ChatAnthropic
├── @langchain/google-genai # ChatGoogleGenerativeAI
├── @langchain/community # 100+ integrations
├── @langchain/pinecone # PineconeStore
├── @langchain/textsplitters # RecursiveCharacterTextSplitter
└── langchain # High-level: agents, chains, tools
```
Every `@langchain/*` package depends on `@langchain/core`. You never import from `langchain` directly for base types -- always use `@langchain/core` for prompts, output parsers, messages, and runnables.
## Error Handling
| Error | Cause | Fix |
|-------|-------|-----|
| `Cannot find module '@langchain/openai'` | Package not installed | `npm install @langchain/openai` |
| `AuthenticationError: Incorrect API key` | Invalid or missing key | Check `.env` and `dotenv/config` import |
| `Could not import @langchain/core` | Version mismatch | Ensure all `@langchain/*` packages share same minor version |
| `RateLimitError` | Quota exceeded | Check provider dashboard, implement backoff |
| `ENOTFOUND api.openai.com` | Network blocked | Check firewall/proxy settings |
## Troubleshooting Version Conflicts
```bash
# Check installed versions (all should share same minor)
npm ls @langchain/core
# Fix version conflicts
npm install @langchain/core@latest @langchain/openai@latest @langchain/anthropic@latest
```
## Resources
- [LangChain.js Docs](https://js.langchain.com/docs/)
- [LangChain Python Docs](https://python.langchain.com/docs/)
- [OpenAI API Keys](https://platform.openai.com/api-keys)
- [Anthropic Console](https://console.anthropic.com/)
- [LangSmith](https://smith.langchain.com)
## Next Steps
After successful auth, proceed to `langchain-hello-world` for your first chain.