u/shadowBladeO4

TIL Claude Code has 240+ models via NVIDIA NIM gateway — Nemotron-3 120B for agentic coding is surprisingly good

So I was messing around with /model in Claude Code today and noticed something most people probably don't know about — after the standard Claude models (Opus, Sonnet, Haiku), there's a whole NVIDIA NIM gateway section with +239 additional models you can switch to mid-session.

Some of the models I spotted:

• nvidia/nemotron-3-super-120b-a12b (with and without thinking mode)
• 01-ai/yi-large
• abacusai/dracarys-llama-3.1-70b-instruct
• ...and hundreds more

I've been running the Nemotron thinking variant for multi-file refactoring and it's genuinely solid. It reasons through changes before touching your code — exactly what you want for agentic tasks. Latency is higher than Claude obviously, but if you're burning through Opus credits on long sessions this is worth experimenting with.

How to try it:

1. Open any Claude Code session
2. Run /model
3. Scroll past the four standard Claude options — NIM models appear below
4. Hit d to set one as your session default, or pass --model at launch

Anyone else been routing Claude Code through NIM? Curious what models people have had luck with — especially for Python or Rust codegen.

Love the color!😍

Been building AI agents in public, one notebook per day. Day 1 covers the full foundational architecture of a stateful, persona-driven agent.

What I built across 6 experiments:

1. Basic LangGraph chat — minimal START → chat → END graph with OpenRouter LLM
2. Jarvis persona — SystemMessage injection for consistent personality
3. Short-term memory — MemorySaver + thread_id (each user = isolated memory)
4. Conditional routing — text / voice / image handlers via a router node
5. Interactive chat loop — ask_jarvis() helper + terminal interface
6. Graph visualization — ASCII + Mermaid diagrams of the agent architecture

Key insight: LangGraph doesn't chat by itself — it moves a state dict through Python functions called nodes. Every agent is: State → Nodes → Edges → Compile → Invoke.

Full notebook: github.com/Luciferxy/Artificial-Intelligence