🗺️ Project Roadmap

NodeLLM is evolving to support more complex AI-native Node.js applications.


✅ RECENTLY RELEASED

  • Extended Thinking: Unified interface for Claude 3.7, DeepSeek R1, and OpenAI o1/o3.
  • Professional ORM Support: Database persistence for Prisma with automated history management and professional migration workflows.
  • Context Isolation 2.0: Strict separation of system instructions and conversation turns for enterprise-grade safety.

🚀 Future Priorities

🧠 High-Level Orchestration

Managed Chain-of-Thought Patterns.

Beyond simple chat loops, we are building structured orchestration patterns for complex multi-step reasoning:

  • Planner/Executor Loops: Automated sub-task decomposition.
  • Self-Correction Patterns: Native support for LLM-based output validation and retry loops.

🧪 Evaluation Framework

Integration Testing for AI.

Measuring the quality of non-deterministic LLM outputs is hard. We are exploring a lightweight evaluation toolkit to help developers:

  • Snapshot Testing: Lock down expected behaviors.
  • Prompt Regression Detection: Ensure new model versions don’t break your specialized instructions.

📂 Expanded Example Library

We learn by doing. We will double down on high-quality, full-stack reference implementations covering:

  • RAG Knowledge Base: A verified pattern for “Chat with your Docs”.
  • Voice Interface: Real-time audio-in/audio-out.
  • Local-First Agent: Zero-latency offline agents using Ollama + Llama 3.

🛡️ Ongoing

  • Security First: Continued investment in Context Isolation, PII hooks, and adversarial defense.
  • Zero-Dependency Core: Keeping the core library lightweight while moving heavy integrations to separate packages (e.g. @node-llm/tools).