SOINTECH  /  SOIN AI

SOIN TOKENHUB API Service

SOIN TOKENHUB API agrège les grands modèles de langage et offre un accès API unifié, un suivi de la consommation de tokens et une facturation flexible : appels de modèles, gestion des coûts et workflows d'agents réunis en un seul point d'entrée.

SOIN TOKENHUB API Service Aperçu du produit
01 / OVERVIEW

Conçu autour de votre métier

SOIN TOKENHUB API agrège les grands modèles de langage et offre un accès API unifié, un suivi de la consommation de tokens et une facturation flexible : appels de modèles, gestion des coûts et workflows d'agents réunis en un seul point d'entrée.

02 / PRODUCT DETAILS
01 / OVERVIEW

One API to every leading LLM

SOIN TOKENHUB API Service aggregates leading large language models — GPT, Claude, Gemini, DeepSeek, Qwen and more — behind a single unified entry point: integrate once with the OpenAI-compatible protocol, call every model, and switch models by changing one parameter with no business code rewrite.

Every call is metered and costed, with usage and spend reports broken down by model, application and API key. Enterprises no longer need to integrate multiple model vendors separately — they call multiple models on demand and deliver controllable, observable and measurable AI capabilities.

02 / CORE CAPABILITIES

Core capabilities

Unified API access

OpenAI-compatible protocol, plug-and-play access to leading models; model switching and canary releases without touching business code.

Smart routing & failover

Dynamic routing by cost, latency and quality; automatic retry on an alternate provider within the same request when one fails.

Token usage monitoring

Requests, tokens and cost broken down by model, application and key, with real-time alerts on abnormal consumption.

Flexible billing & quotas

Per-key spend caps and budget alerts; project accounting, cost allocation and multi-tenant operation in one place.

Security & audit

Centralized key vault, sensitive-data filtering and complete audit logs, with SSO and role-based access control.

Agent & workflow integration

Multi-model task orchestration, response caching and RAG knowledge-base access — a stable model foundation for agent applications and business systems.

03 / TYPICAL SCENARIOS

Typical scenarios

Enterprise AI platform

All business lines consume model capability through TOKENHUB; costs are accounted per department and project.

Agent product R&D

Teams evaluate, switch, monitor and ship models on one platform.

ISV & industry integration

Software vendors deliver white-label AI services with built-in metering and billing.

04 / IMPLEMENTATION VALUE

Implementation value

Visible, controllable cost

Cost per 1K tokens and per project at a glance; waste and misuse stopped early.

Reliable by design

Multi-provider failover and rate protection keep business running through single-point failures.

No lock-in

Standard interfaces and self-owned keys — swap or add models any time.

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