PromptOpsAI Prompt Runtime Platform

Decouple prompts, agents and workflows from code — with hot-reload, version control, gray releases and runtime observability.

Prompt Runtime

Prompts as engineering-managed resources — CRUD, search, categories, multiple environments (dev / test / prod) and version control.

Over WebSocket, prompt changes are pushed to connected SDKs in real time — no AI-service restart required.

Node, Python and Java SDKs (Python & Java zero-dependency) — fetch prompts by key, render template variables, subscribe to hot-reload.

Fill in variables, call a model (OpenAI / Claude / Ollama / Gemini / mock) and instantly see the rendered prompt and output.

Config-driven agents (prompt + provider + model); a workflow engine chaining render → model → transform steps.

Weighted A/B traffic split per key + environment — the SDK returns one of two versions by weight.

Every mutation and model call is logged; run counts, token estimates and latency are aggregated.

Three-tier RBAC (admin / editor / viewer); resources grouped into team workspaces.