Switching AI providers should be trivial. In practice, it rarely is. Each provider introduces its own authentication model, response formats, streaming semantics, and edge cases—turning a simple vendor change into days of refactoring and risk.

BoxLang AI eliminates that friction.

In this session, you’ll see how BoxLang AI provides a single, unified API across OpenAI, Claude, Gemini, Grok, DeepSeek, Perplexity, Ollama, and more—allowing you to swap providers with a single configuration change. No code rewrites. No vendor lock-in.

But BoxLang AI goes beyond provider abstraction. It is a production-ready AI orchestration layer for the JVM, designed to make advanced AI systems approachable and maintainable:
• Built-in embeddings and vector operations
• Short- and long-term agent memory with configurable retention policies
• Real-time tool calling and MCP integrations for live data access
• Fluent, human-readable syntax on a high-performance dynamic JVM language
• First-class support for running local LLMs to protect data and privacy

Through live demos, you’ll see how to compose stateful, autonomous agents, orchestrate multiple models, and implement resilient fallback strategies—all without coupling your application to any single AI vendor.

BoxLang AI lets you focus on what your AI should do, not how to wire it together.