Velaxe
AI Hub — Unified LLM Gateway, Chat, Embeddings & Jobs | Velaxe

AI Hub

AI Hub vs OpenAI Platform

OpenAI provides powerful foundation models and a rich API. AI Hub adds a provider-agnostic gateway, conversation memory & search, moderation policy with audits, quotas/usage dashboards, and a background jobs queue—so teams can standardize across providers and keep governance in one place.

Who this comparison is for

Platform teams needing provider abstraction Security/Compliance requiring audit exports & quotas Product teams shipping chat + RAG quickly

AI Hub highlights

  • Unified gateway for OpenAI + Anthropic + Gemini + Mistral + HF
  • Conversation memory, search (FTS5), ratings, snippets
  • Usage dashboard + monthly token quotas, Redis memo-cache
  • Moderation policy (block/warn/allow) with CSV audit export

OpenAI Platform highlights

  • Native access to OpenAI models & features
  • Best-effort tooling inside one provider ecosystem

Capability matrix

11 rows
Capability AI Hub OpenAI Platform Notes
Multi-provider routing (one API) Full None AI Hub routes across multiple vendors; OpenAI is single-provider
Fallback on 5xx (OpenAI→Anthropic) Full None Configurable secondary provider
Conversation memory + search Full Partial AI Hub ships chat storage & FTS; OpenAI leaves storage to you
Moderation policy (pre/post, audits) Full Partial OpenAI moderation API exists; AI Hub adds policy + CSV export
Usage dashboard (30 days) & quotas Full Partial Hub enforces hard monthly token limits
Jobs queue + progress events Full Manual Requires custom worker when built direct
Embeddings (HF wrapper optional) Full Native OpenAI has native embeddings; Hub also supports HF
Admin key vault (AES-256-GCM) Full Manual Hub includes workspace-scoped vault
Redis memo-cache for deterministic calls Full Manual DIY when building direct
Web UI (Chat, Keys, Playground, Audits) Full Partial Hub ships a single-instance UI
Events (AI.response.*, AI.job.*) Full Manual Hub publishes internal bus events
  • Comparisons focus on orchestration & governance layers, not model quality.
  • Matrix tokens: full/partial/none/native/via_zapier/manual indicate support depth.

Total cost of ownership

Direct OpenAI integration is fast for a single feature. As usage scales, teams add storage, queues, quotas, and audits. AI Hub provides these out-of-the-box, reducing build/maintain costs and enabling provider choice.

Assumptions

  • 3–5 AI features across products
  • Need for quotas, audits, fallback, and team chat UI

Migration plan

From OpenAI Platform · Wrap calls via AI Hub Query API; move chat to Hub; enable quotas & audits

  1. 1

    Store OpenAI key in AI Hub KeyVault; set primary provider

  2. 2

    Switch endpoints to /QueryApi.php and validate outputs

  3. 3

    Enable moderation policy + UsageDaily quotas

  4. 4

    Optionally add Anthropic/Gemini as secondary fallback

Security

  • Workspace-scoped key vault, AES-256-GCM at rest, TLS in transit
  • SAML-gated audit CSV export

Evidence & sources

Claim Value Source
Unified gateway & quotas Query API + UsageDaily + RateLimiter product_docs
Provider-agnostic layer

About AI Hub

AI Hub centralizes generative AI for your workspace with a single, policy-aware gateway to multiple providers. Teams get a streamlined chat experience with searchable history and feedback, a minimal Query API for quick prompts, and embeddings for retrieval workflows. Operators gain visibility with usage & cost tracking, quotas, and exportable audit logs.

Choose the best model for each task, fail over between providers, and moderate inputs/outputs with block/warn/allow policies. Keys are encrypted at rest and scoped per workspace. Long-running tasks run on a background worker and broadcast events so other apps can react in real time.

Designed for safety and speed: opinionated defaults, least-privilege access, and drop-in APIs that make it easy to bring AI to every surface of Velaxe.

Run on AI Hub without rewriting prompts