Acrux Core's answer

Most LLM tools own one link in the chain — a prompt manager, a gateway, a tracer, or an eval tool — and teams stitch three or four of them together with glue code. Acrux Core keeps one lineage instead: a prompt version flows through the gateway as a request, becomes a trace with tool spans, gets priced, and folds into an evaluation dataset — all in one data model, so a regression can be traced back to the exact prompt version and model that caused it without cross-referencing four dashboards.

Acrux Core's answer

Because the pieces are already wired together. You don't run a prompt CMS, a separate LiteLLM-style proxy, a separate tracing tool, and a separate eval harness and reconcile them yourself — one gateway call is already versioned, traced, and priced, and that trace can become an evaluation dataset with no export/import step. It's also open source, self-hostable, and ships official SDKs (TypeScript and Python) rather than locking you into a dashboard-only workflow.

Acrux Core's answer

Engineering teams shipping LLM features in production — usually a backend or platform engineer who owns the AI integration for a small-to-mid-size product team. They need to change a prompt without a redeploy, see what a call actually cost and how long it took, and prove a new prompt version is better before promoting it — without adopting a full MLOps stack to get there

Acrux Core's answer

TypeScript end to end — an Express API and a BullMQ-based worker on Node.js, a React dashboard, and PostgreSQL (with JSONB for flexible payloads like prompt content and trace data) via Prisma as the ORM. Prompt templating uses a Jinja2-style engine (nunjucks). The public SDKs are TypeScript/Node (@acruxcoreai/sdk) and async Python (acruxcore). The docs site runs on Docusaurus.

Acrux Core's answer

I've spent the last three years building chatbots for more than 30 clients. Across all those projects, I kept running into the same problem with the tools already on the market: they were either bloated with features I never needed, or missing the ones I actually did. I'd end up paying for complexity I didn't want, while still gluing together separate tools for prompt versioning, request routing, tracing, and evaluation myself. After enough of that, I decided to build the platform I actually needed — one place to version prompts, route calls to any model provider, trace every request, and evaluate whether a change actually made things better. Acrux Core is that platform, built from real production experience rather than a feature checklist.