SDK Contracts / Sep 15, 2026

OpenAI-Compatible SDK Contract Gates for Chinese Model Routes

Gate Chinese model route changes with SDK contract tests, model-list snapshots, usage receipts, and dated pricing evidence.

Keyword report: 2026-09-14Tier 1/2 developer focusSources checked Sep 15, 2026

This guide uses source checks from Sep 15, 2026. Provider and gateway prices can change; preserve the checked date with every forecast.

Why This Topic Matters Now

Brand and site-search queries around AIWave are now mostly evaluator behavior. Searchers open `aiwave.live`, `site:aiwave.live`, `aiwave api`, or `aiwaveblog` because they want proof: endpoint shape, model names, current pricing evidence, and operational status. A generic article about a unified API will not answer that. A contract gate will. It tells a team exactly what must pass before a Chinese model route can enter a release.

An OpenAI-compatible SDK contract gate is a small automated checklist. It verifies that the base URL is correct, the SDK can list models, the candidate model string is present or explicitly allowed, a redacted chat completion returns a usage object, error classes are normalized, and the pricing evidence has a checked date. This is especially useful for teams that switch among DeepSeek, GLM, Kimi, Qwen, MiniMax, Doubao, and Moonshot routes behind one client.

Source Facts Checked Today

AIWave /api/pricing checked on Sep 15, 2026 returned success=true, 64 live rows, top-level pricing_version a42d372ccf0b5dd13ecf71203521f9d2, auto_groups=['default'], and group_ratio default=1 and vip=0.9. The static /api/v1/pricing endpoint checked during the same run reported checked=2026-09-10, currency=USD, unit=per_1m_text_tokens, pricing_version 8c7a0c0b30661ccbc13d142cb54d1e4ae445fe774b2c6fa501080db97c7a3e56, and notes that dated base rates are adjusted by the effective account group. Selected static rows were moonshot-v1-128k at $1.80 input and $4.50 output per 1M tokens, moonshot-v1-auto at $75 input and $75 output, kimi-k3 at $4.50 input, $0.90 cache-hit input, and $22.50 output, GLM-5.1 at $2.10 input, $0.680001 cache-hit input, and $6.5999997 output, and DeepSeek Flash at $0.70 input, $0.0233 cache-hit input, and $2.10 output. VIP-key estimates multiply the same base rows by 0.9.

Kimi API quickstart opened for this run says Kimi API is compatible with OpenAI and Anthropic API formats and can be called through HTTP API, OpenAI SDK, or Anthropic SDK after preparing an API key, choosing a model, and configuring base_url. That pattern is useful for SDK contract design because the same application can pin a base URL and change only approved model routes.

AIWave public docs and status were checked as the gateway evidence path. Status is useful as a current public contract check, while the models docs and pricing endpoints provide route names and dated price references. These artifacts should be linked from the test report rather than copied into assertions that never refresh.

Planning Matrix

A source-dated planning matrix keeps the page useful for engineers and procurement reviewers. It turns a search query into an auditable route decision instead of a loose model preference.

GateAssertionFailure action
Base URLhttps://aiwave.live/v1 is configuredblock release
Model snapshotcandidate route appears or is explicitly allowedreview route owner
Chat requestredacted prompt returns expected shapedebug SDK contract
Usage objectusage is present for receipt captureblock cost forecast
Error class401, 403, 429, timeout are normalizedfix retry policy
Pricing sourcechecked date and pricing_version are storedrefresh evidence

Implementation Pattern

The implementation pattern keeps credentials as placeholders, pins the AIWave base URL, records the model, and leaves room for route-specific controls. Production applications should move credentials into environment or secret storage.

from openai import OpenAI

client = OpenAI(api_key="YOUR_API_KEY_HERE", base_url="https://aiwave.live/v1")

EXPECTED_MODELS = {"deepseek-flash", "glm-5.1", "kimi-k3", "qwen3.8-max"}

def sdk_contract_gate(candidate_model: str):
    models = {item.id for item in client.models.list().data}
    if candidate_model not in models and candidate_model not in EXPECTED_MODELS:
        raise RuntimeError(f"route not approved: {candidate_model}")
    response = client.chat.completions.create(
        model=candidate_model,
        messages=[{"role": "user", "content": "Return one JSON object with status: ok."}],
        max_tokens=80,
        temperature=0,
    )
    return {
        "model": candidate_model,
        "api_key": "YOUR_API_KEY_HERE",
        "usage": response.usage,
        "pricing_checked_at": "2026-09-15",
    }

Gate the Base URL

The first gate is boring and essential. Confirm that the production SDK points to the intended base URL and that no environment-specific override sends traffic to a direct provider or stale test gateway. Store the base URL in the test report. If the base URL is wrong, block the release before any pricing, usage, or quality judgment is made.

Snapshot the Model List

A model-list snapshot turns route availability into evidence. Capture the list, timestamp it, and compare the candidate route against approved routes. Some teams allow a route even if the models endpoint has not yet refreshed, but that exception should be explicit and owned. Silent route assumptions are exactly what contract gates are designed to catch.

Use a Redacted Prompt

The chat-completion smoke test should use a redacted, low-risk prompt. It should prove request shape, response shape, usage object, and error normalization, not model intelligence. Keep customer data, private code, and real secrets out of the contract gate. The goal is to validate the integration surface before task-specific acceptance tests run.

Require Usage for Cost Forecasts

If the SDK path does not return usage or the application does not capture it, finance cannot review route changes. The gate should fail when usage is missing from a route that is intended for production cost forecasting. A route can still be explored manually, but it should not move into scaled traffic without receipt capture.

Normalize Errors Before Retries

Recent AIWave content already covered retry patterns, so this gate focuses on the prerequisite: normalized error classes. Authentication, insufficient balance, malformed request, rate limit, timeout, and user cancellation must become distinct classes before the retry layer sees them. If all errors become one exception string, the gate should send the SDK wrapper back for repair.

Attach Dated Pricing Evidence

The contract gate should link the latest live pricing capture and the static pricing snapshot used for the forecast. It should not embed every row in code. The test report needs source URL, checked date, pricing_version, group_ratio, and selected model row. If the pricing evidence is older than the team's threshold, the gate should request a refresh.

Release Review

A release reviewer should ask for the base URL, model snapshot, candidate model, redacted response, usage object, error-class map, pricing evidence, and route owner. If any one of those is absent, the model route can remain in staging but should not be promoted. The review should also note whether the route is pinned, auto-selected, or allowed only as a fallback.

Final Checklist

An SDK contract gate is ready when base URL, model list, chat shape, usage capture, error classes, and pricing evidence all pass in one report. Keep the prompt redacted, keep pricing source-dated, and keep route ownership explicit. That gives Tier 1 buyers a practical path from AIWave API search intent to release-ready evidence.

Source Links

Related AIWave Links