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".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: langchain-install-auth description: | 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
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
# 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
# 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
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)
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)
from langchain_anthropic import ChatAnthropic
llm = ChatAnthropic(
model="claude-3-5-sonnet-20241022",
temperature=0.7
)
TypeScript Setup
import { ChatOpenAI } from "@langchain/openai";
const llm = new ChatOpenAI({
modelName: "gpt-4o-mini",
temperature: 0.7
});
Resources
Next Steps
After successful auth, proceed to langchain-hello-world for your first chain.
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