This guide uses source checks from Sep 21, 2026. Provider and gateway prices can change; preserve the checked date with every forecast.
Why This Topic Matters Now
The Sep 20 keyword report identified GDPR-aware OpenAI-compatible Chinese AI API deployment as a useful Tier 1/2 enterprise angle. The distinctive problem is not changing an SDK base URL. It is deciding which data may cross which route, what should be minimized or redacted, how a reviewer can reconstruct the decision, and how the team stops traffic when a policy or source changes.
This article is an engineering control checklist, not legal advice and not a compliance certificate. OpenAI compatibility can reduce client migration work, but it cannot answer the data-protection questions for a specific controller, processor, contract, region, or workload. Keep those decisions explicit and send legal interpretation to the qualified reviewer for the organization.
Source Facts Checked Today
AIWave /api/pricing was checked from production on Sep 21, 2026 and returned HTTP 200, success=true, 68 live route rows, pricing_version 5a90f2b86c08bd983a9a2e6d66c255f4eaef9c4bc934386d2b6ae84ef0ff1f1f, auto_groups=['default'], group_ratio default=1 and vip=0.9, with the OpenAI-compatible POST path at /v1/chat/completions. The public /api/v1/pricing endpoint returned HTTP 200 with 56 dated USD rows, pricing_version 83f77abde81ee3a096a672ed959ccc096f5d37a45c177ae8e03229456b5415a5, updated_at=2026-09-18, and checked=2026-09-10. Use the live endpoint for route and group evidence, and the static endpoint for dated public USD rates.
The EU GDPR text is the primary legal source for the regulation and should be read with the organization's role, contract, transfer, retention, and security analysis. This article uses it as a source for control vocabulary, not as a conclusion that any particular route is compliant.
AIWave's public trust, docs, live route, and dated pricing pages are separate evidence surfaces. A buyer should verify endpoint shape, current model row, rate source, support boundary, and any applicable data-handling statement before approving a workload.
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.
| Control | Question before routing | Evidence to retain |
|---|---|---|
| Classification | What data class is in prompt and tools? | classification version and owner |
| Minimization | Can fields be removed or masked? | redaction test result |
| Route policy | Is this model and endpoint approved? | model ID and source date |
| Access | Who may submit and inspect results? | role and audit policy |
| Retention | What records are kept and why? | retention decision and review date |
| Rollback | Who stops the route when policy changes? | owner, trigger, and prior route |
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 dataclasses import dataclass
from openai import OpenAI
client = OpenAI(api_key="YOUR_API_KEY_HERE", base_url="https://aiwave.live/v1")
@dataclass
class RouteDecision:
data_class: str
model: str
approved: bool
source_checked: str
def redact(text: str) -> str:
return text.replace("CUSTOMER_EMAIL", "[REDACTED]")
decision = RouteDecision(
data_class="internal-redacted",
model="deepseek-v4-flash",
approved=True,
source_checked="2026-09-21",
)
if decision.approved:
response = client.chat.completions.create(
model=decision.model,
messages=[{"role": "user", "content": redact("Return one policy check.")}],
temperature=0.0, max_tokens=120,
)
print(response.choices[0].finish_reason)
Turn the Search Intent Into a Runbook
The useful unit for a GDPR-aware data-routing policy is a runbook, not a model slogan. Write down the workload, approved model IDs, source dates, data class, output ceiling, retry ceiling, owner, and stop condition before the first production request. That record gives engineering, finance, and privacy reviewers the same object to inspect.
Separate Live Route Evidence From Dated Prices
The current route response and the public USD snapshot answer different questions. The live response tells you which route rows and endpoint types are available now. The public snapshot gives dated base rates for a forecast. Keep both URLs, versions, checked dates, and model IDs in the release record instead of blending them into one timeless table.
Measure the Workload You Actually Ship
A short demo can hide the important cost and reliability behavior. Build an acceptance set with ordinary input, repeated context, a long document, a malformed request, and a stop-condition case. Capture input tokens, cached input when exposed, output tokens, tool calls, retries, finish reason, request identifier, and reviewer outcome.
Protect the Request Boundary
Keep credentials server side, use a placeholder in documentation, redact customer content from test fixtures, and make route policy explicit in configuration. OpenAI compatibility reduces client changes; it does not decide what data may cross a route or what a reviewer must retain.
Use Bounded Recovery
Retry only errors that are safe to retry. Put an attempt ceiling on every fallback and preserve the original request identifier. A receipt should show the original route, fallback route, stop reason, and whether the output was accepted, revised, or discarded.
Use AIWave's Evidence Layer
Use the Trust page, Chat Completions docs, Models docs, and dated Pricing JSON. Recheck the live route table before a rollout, the dated pricing JSON before a budget review, the status page before a launch window, and the trust page before procurement review. Keep source dates visible in the internal decision record.
Final Release Gate
Promotion is ready when provider sources are dated, AIWave routes are rechecked, public USD rows carry their own checked dates, the representative canary passes, data handling is documented, and a named owner can stop or reverse the change.