📄️ Custom Agent Prompts
Learn how to customize agent prompts in KaibanJS to tailor AI agent behavior and responses for specific use cases.
📄️ Multiple LLMs Support
Leverage multiple language models to enhance the capabilities of your AI agents in KaibanJS.
📄️ Integrating with JavaScript Frameworks
Enhance your JavaScript projects with AI capabilities using KaibanJS.
📄️ Implementing a RAG tool
Learn to enhance your AI projects with the power of Retrieval Augmented Generation (RAG). This step-by-step tutorial guides you through creating the WebRAGTool in KaibanJS, enabling your AI agents to access and utilize web-sourced, context-specific data with ease.
📄️ Using Typescript
KaibanJS is type supported. You can use TypeScript to get better type checking and intellisense with powerful IDEs like Visual Studio Code.
📄️ API Key Management
Learn about the pros and cons of using API keys in browser-based applications with KaibanJS. Understand when it's acceptable, the potential risks, and best practices for securing your keys in production environments.