I build enterprise platforms where authentication, integrations, and reliability matter.
LLMs are becoming another integration surface. NodeLLM→ is my attempt to treat them that way.
Notes on Node.js, Ruby, Rails, and building production AI systems with NodeLLM.
NodeLLM 1.15 introduces automated schema self-correction, enabling agents to recover from validation failures without manual intervention. This release also brings fine-grained middleware lifecycle control and hardened type safety.
Shaiju Edakulangara
NodeLLM 1.14 reinforces our philosophy that agents don't require complex orchestration frameworks—they are just LLMs armed with tools. This release also brings first-class support for xAI (Grok) and the complete Mistral suite.
Shaiju Edakulangara
Vercel AI SDK is the industry standard for shipping fast. NodeLLM is a backend-first LLM runtime with middleware architecture, 540+ models across 7 providers, and enterprise-grade features.
Shaiju Edakulangara
NodeLLM 1.10 introduces a full middleware architecture for intercepting LLM requests, responses, tool executions, and errors. Build PII protection, cost guards, and custom pipelines—without changing your business logic.
Shaiju Edakulangara
Introducing @node-llm/monitor—a production-grade observability layer for LLM applications. Track costs, latency, token usage, and debug AI interactions with a built-in real-time dashboard.
Shaiju Edakulangara
Testing AI systems is often frustrating and expensive. I’ve been working on a small utility to make testing LLM interactions a bit more predictable and secure—here is `@node-llm/testing`.
Shaiju Edakulangara