AI Kits
Models, orchestration, evals, prompts. Our opinion on what's actually worth your time in the 2026 AI stack.
Prompts
Orchestration
DSPy
OSSPrompts as programs you compile.
Compelling research direction; not quite production-ready as of 2026.
LangChain
OSSUseful primitives, controversial abstractions.
We took inspiration, not dependency. Worth reading even if you don't adopt.
LlamaIndex
OSSFocused on RAG and document ingestion.
Better defaults than LangChain if your problem is really retrieval.
Datasets
Evals
Inspect AI
OSSUK AISI eval framework.
What we'd use for before-you-ship LLM tests on any serious system.
OpenTelemetry GenAI
OSSOpenTelemetry semantic conventions for LLM traces.
The emerging standard. We wired the VORLUX orchestrator against this spec.
promptfoo
OSSConfig-driven eval harness.
Pairs well with CI. YAML-first approach that scales past one person.
Models
LM Studio
freemiumGUI alternative to Ollama if you prefer a window to a terminal.
Identical capability, friendlier onboarding. Good for client demos.
Ollama
OSSLocal LLMs, one command.
The backbone of VORLUX's local-first stance. Everyone should have this installed.
vLLM
OSSHigh-throughput inference server.
When you outgrow Ollama and need real QPS — usually past 10 concurrent users.