--- name: langchain-install-auth-83114bbae50f 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 --- # 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. --- Source attribution: Dicklesworthstone Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/langchain-pack/skills/langchain-install-auth/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License (with OpenAI/Anthropic Rider) Copyright (c) 2026 Jeffrey Emanuel Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: ADDITIONAL RIDER / RESTRICTION (OpenAI / Anthropic): This rider is part of the "conditions" of this License. In the event of any conflict between this rider and any other portion of this License, this rider controls. "Restricted Parties" means OpenAI, L.L.C.; Anthropic, PBC; any of their respective Affiliates; and any person or entity acting directly or indirectly on behalf of, for the benefit of, or under the direction of any of the foregoing (including any officer, director, employee, contractor, agent, consultant, service provider, or representative). Notwithstanding any other provision of this License, no rights are granted to any Restricted Party. Any purported license, sublicense, assignment, transfer, or other permission to any Restricted Party is null and void absent the express prior written permission of Jeffrey Emanuel. You may not provide, disclose, distribute, sublicense, sell, lease, lend, host, make available, or otherwise permit access to the Software or any derivative work of the Software (as defined in applicable copyright law) (collectively, "Derivative Works") to or for any Restricted Party. For purposes of this rider, "use" includes, without limitation: copying, modifying, merging, publishing, distributing, sublicensing, selling, transferring, making available, hosting, deploying, executing, benchmarking, testing, analyzing, indexing, or incorporating the Software or any Derivative Works into any dataset, training corpus, evaluation harness, or pipeline for machine learning or other automated systems. This rider applies to the Software and all Derivative Works. As a condition of use, you agree that this rider is a precondition to exercising any rights under this License, and you agree that any distribution of the Software or any Derivative Works must include this rider provision unmodified. Any breach of this rider automatically and immediately terminates the permissions granted by this License. Upon termination, you must immediately cease all use and distribution of the Software and any Derivative Works and destroy all copies under your control. You agree that a breach of this rider would cause irreparable harm and that Jeffrey Emanuel may seek injunctive or other equitable relief to enforce this rider, in addition to any other remedies available at law. To the maximum extent permitted by applicable law, the prevailing party in any action to enforce this rider shall be entitled to recover reasonable attorneys' fees and costs. For purposes of this rider, "Affiliate" means any entity that directly or indirectly controls, is controlled by, or is under common control with the specified party. "Control" means ownership of more than 50% of the voting securities or other ownership interest, or the power to direct management or policies by contract or otherwise. The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: Dicklesworthstone Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/langchain-pack/skills/langchain-install-auth/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Development & Engineering Roles: Backend Developer, Data Scientist, ML / AI Engineer Specialties: API, Backend Tools: Anthropic, Google, Langchain, Openai Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 654ffea840b00380a945fb40ee4ace9dcfa2012d75b6f983cc2ffd144c089156