smaapi Gateway (SMA) — Enterprise AI Gateway

01 Problem

What problem does SMA solve?

Running on multiple models is now the norm: different tasks suit different models, and every provider ships its own API, keys, and billing. Integrating each one directly leaves keys scattered across codebases, costs without a single source of truth, calls that cannot be audited, and provider switches that require code changes. SMA adds a unified access and governance layer between your applications and the providers, collapsing all of that into one controlled egress.

02 Governance

Three layers, three kinds of trust

A gateway's value is not only that it connects, but that you can entrust it. SMA's three capabilities map to the three kinds of evidence an enterprise needs to trust an AI platform:

03 Capabilities

The full capability map

SMA's capabilities split by form: the software / API layer works as soon as you integrate; the hardware / SMA Edge layer is the upgrade path for higher availability and private deployment.

Software / API layer (works on integration)

• Unified access: one OpenAI-compatible API in front of many Chinese and international models; applications only change base_url.
• Smart routing: route by task characteristics and difficulty — simple tasks to a faster, cheaper model, complex tasks to a stronger one, code tasks to the code channel.
• Explainable routing: candidate models, quality gates, and exclusion reasons are all inspectable — routing is not a black box.
• Data protection: personal and Chinese sensitive entities are sanitized at the egress (Token Vault); plaintext is not sent downstream and not stored in audit.
• Content-safety policy: enterprise red lines are enforced at the gateway — a hit is blocked and no external model is called.
• High availability & failover: recoverable errors switch to a candidate model with context preserved via the state header, transparently to the application. See high-availability access →
• Cost & permission governance: budgets, quotas, and rate limits per team / application / key; unified metering, reconcilable by key, project, or model. See cost governance →
• Full audit trail: caller, target model, usage, and time are logged for every call — traceable and reconcilable.
• Model calibration & evaluation: calibrate model capability using your own task set, so model selection is evidence-based.

Hardware / SMA Edge layer (upgrade form)

• Active health monitoring: continuous monitoring of each endpoint's real-time state with preemptive switching; this requires the SMA gateway hardware.
• Private deployment: the gateway runs inside your own environment, so prompts, keys, and logs stay within the enterprise boundary — suited to strict-compliance scenarios.

Capabilities follow your product configuration and contract terms; active health monitoring and private deployment (data staying in-boundary) are provided by the SMA Edge hardware form. For compliant overseas access, see the compliance guide.

04 Integrate

One line of config to integrate

Keep your OpenAI SDK and point base_url at the gateway:

from openai import OpenAI

client = OpenAI(
    base_url="https://www.smaapi.com/v1",  # point to the SMA gateway
    api_key="YOUR_SMA_KEY",                # gateway key; provider keys stay inside the enterprise
)

resp = client.chat.completions.create(
    model="deepseek-chat",  # model name is routable per policy
    messages=[{"role": "user", "content": "Hello"}],
)

Model names are nominative; available models and routing policy follow your console configuration.

Get started in four steps

1. Register and create a key: sign up in the console, create an API key on the key-management page, pick a model group, and enable it.
2. Top up: online Alipay (instant) or corporate bank transfer (with a technical-service invoice).
3. Integrate: keep your OpenAI SDK and point base_url at the gateway (see the example above); experienced teams self-serve in minutes.
4. Support: 24/7 technical support via WeCom helps with installation and integration until you are connected.

Register and get an API key → 24/7 technical support · Alipay / corporate top-up · technical-service invoice

05 Team

Chief Scientist

06 Who it's for

Who is SMA for?

Engineering and platform teams that need to access multiple LLM providers — international and Chinese models alike — with organization-level requirements on cost, permissions, compliance, and audit. Applications keep their OpenAI SDK and simply point base_url at the gateway.