@navaiguide/core v0.0.5

NavAIGuide-Core

Core package used to build AI agents with NavAIGuide.

💻 Getting Started

Prerequisites

• Node.js
• Access to OpenAI or AzureAI services

Steps

1. ⚡️ Install NavAIGuide-Core

You can choose to either clone the repository or use npm, yarn, or pnpm to install NavAIGuide-Core.

npm:

npm install @navaiguide/core

Yarn:

yarn add @navaiguide/core

2. Configure OpenAI or AzureAI Key

Configure the necessary environment variables. For example, locally through .env.local (requires dotenv package):

• OPENAI_API_KEY: Your OpenAI API key.
• For Azure AI API keys and related configurations, note that due to the regional availability of different classes of models, more than one Azure AI project deployment might be required.
  • AZURE_AI_API_GPT4TURBOVISION_DEPLOYMENT_NAME: Deployment name for GPT-4 Turbo with Vision.
  • AZURE_AI_API_GPT35TURBO_DEPLOYMENT_NAME: Deployment name for GPT-3.5 Turbo with JSON mode.
  • AZURE_AI_API_GPT35TURBO16K_DEPLOYMENT_NAME: Deployment name for GPT-3.5 Turbo with a 16k max request tokens.
  • AZURE_AI_API_GPT4TURBOVISION_KEY: API Key for GPT-4 Turbo with Vision.
  • AZURE_AI_API_GPT35TURBO_KEY: API Key for GPT-3.5 Turbo with JSON mode and GPT-3.5 with 16k.
  • AZURE_AI_API_GPT35TURBO_INSTANCE_NAME: Instance Name for GPT-3.5 Turbo with JSON mode and GPT-3.5 with 16k.
  • AZURE_AI_API_GPT4TURBOVISION_INSTANCE_NAME: Instance Name for GPT-4 Turbo with Vision.

You can also explicitly provide these variables as part of the constructor for the NavAIGuide or BaseNavAIGuideAgent class.