langchain-install-auth
Install and configure LangChain SDK/CLI authentication. Use when setting up a new LangChain integration, configuring API keys, or initializing LangChain in your project. Trigger with phrases like "install langchain", "setup langchain", "langchain auth", "configure langchain API key", "langchain credentials". allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(pip:*), Grep version: 1.0.0 license: MIT author: Jeremy Longshore <jeremy@intentsolutions.io>
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Provided by Plugin
langchain-pack
Claude Code skill pack for LangChain (24 skills)
Installation
This skill is included in the langchain-pack plugin:
/plugin install langchain-pack@claude-code-plugins-plusClick to copy
Instructions
# LangChain Install & Auth
## Overview
Set up LangChain SDK and configure LLM provider authentication credentials.
## Prerequisites
- Python 3.9+ or Node.js 18+
- Package manager (pip, poetry, or npm)
- LLM provider account (OpenAI, Anthropic, Google, etc.)
- API key from your LLM provider dashboard
## Instructions
### Step 1: Install LangChain Core
```bash
# Python (recommended)
pip install langchain langchain-core langchain-community
# Or with specific providers
pip install langchain-openai langchain-anthropic langchain-google-genai
# Node.js
npm install langchain @langchain/core @langchain/community
```
### Step 2: Configure Authentication
```bash
# OpenAI
export OPENAI_API_KEY="your-openai-key"
# Anthropic
export ANTHROPIC_API_KEY="your-anthropic-key"
# Google
export GOOGLE_API_KEY="your-google-key"
# Or create .env file
echo 'OPENAI_API_KEY=your-openai-key' >> .env
```
### Step 3: Verify Connection
```python
from langchain_openai import ChatOpenAI
llm = ChatOpenAI(model="gpt-4o-mini")
response = llm.invoke("Say hello!")
print(response.content)
```
## Output
- Installed LangChain packages in virtual environment
- Environment variables or .env file with API keys
- Successful connection verification output
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| Invalid API Key | Incorrect or expired key | Verify key in provider dashboard |
| Rate Limited | Exceeded quota | Check quota limits, implement backoff |
| Network Error | Firewall blocking | Ensure outbound HTTPS allowed |
| Module Not Found | Installation failed | Run `pip install` again, check Python version |
| Provider Error | Service unavailable | Check provider status page |
## Examples
### Python Setup (OpenAI)
```python
import os
from langchain_openai import ChatOpenAI
# Ensure API key is set
assert os.environ.get("OPENAI_API_KEY"), "Set OPENAI_API_KEY"
llm = ChatOpenAI(
model="gpt-4o-mini",
temperature=0.7,
max_tokens=1000
)
```
### Python Setup (Anthropic)
```python
from langchain_anthropic import ChatAnthropic
llm = ChatAnthropic(
model="claude-3-5-sonnet-20241022",
temperature=0.7
)
```
### TypeScript Setup
```typescript
import { ChatOpenAI } from "@langchain/openai";
const llm = new ChatOpenAI({
modelName: "gpt-4o-mini",
temperature: 0.7
});
```
## Resources
- [LangChain Documentation](https://python.langchain.com/docs/)
- [LangChain JS/TS](https://js.langchain.com/docs/)
- [OpenAI API Keys](https://platform.openai.com/api-keys)
- [Anthropic Console](https://console.anthropic.com/)
## Next Steps
After successful auth, proceed to `langchain-hello-world` for your first chain.