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Makes public exposure controllable through a reverse proxy.
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vLLM’s `--api-key` is useful but not a complete security boundary; official documentation notes that not every server endpoint is necessarily protected by the API key. Public serving needs a reverse proxy, endpoint scope, TLS, rate limits and network policy together.
The Nginx generator is illustrative, not production-ready. Use a real API gateway/JWT/mTLS or equivalent for authentication. Do not treat the sample Nginx `if` as a complete security solution.
A strong baseline is to bind vLLM to loopback or a private IP, terminate public 443 at Nginx/API gateway, proxy only required `/v1/...` paths and enforce authentication, rate limits and logging policy at the edge.
A strong baseline is to bind vLLM to loopback or a private IP, terminate public 443 at Nginx/API gateway, proxy only required `/v1/...` paths and enforce authentication, rate limits and logging policy at the edge.
Securely expose a vLLM OpenAI-compatible API using loopback binding, Nginx TLS, gateway authentication, rate limits, endpoint allow lists, log redaction and secret rotation.
Makes public exposure controllable through a reverse proxy.
TLS/auth/rate limits can be centralized at one edge.
Expose only the API surface your clients need.
Apply request/concurrency limits before the GPU reaches OOM.
GPU denial of service, oversized context/max_tokens, model enumeration, admin/debug endpoints and log secret leakage are separate risk classes.
| Risk | Control |
|---|---|
| Credential abuse | Rotation + per-client key/JWT |
| GPU exhaustion | Rate/concurrency/token caps |
| Unexpected endpoints | Reverse proxy allow-list |
| Sensitive logs | Header/body redaction |
Use loopback when the proxy is local, or a private VLAN/IP when the gateway is separate. Allow only gateway access in the firewall.
ss -lntp | grep 8000curl -s http://127.0.0.1:8000/health || trueufw status verboseLoopback traffic on one host has a different risk profile from cross-host private networking. Evaluate mTLS or transport encryption for cross-host upstreams.
Per-client keys or JWTs enable quota, audit and rotation. A single shared global key weakens accountability.
A short request and a 128k-context request do not cost the same. Enforce max input tokens, max output tokens and concurrent sequences together.
| Limit | Protects |
|---|---|
| RPS | Edge burst |
| Input tokens | Prefill/KV cost |
| Output tokens | Decode time |
| Concurrency | VRAM/queue |
If clients only need `/v1/chat/completions` and `/v1/models`, do not expose every server path. New endpoints in future vLLM versions should remain private by default.
Request ID, client ID, model, token counts, status and latency are often sufficient for audit. Prompt/response bodies may contain personal or commercial data.
| Log | Redact/avoid |
|---|---|
| request_id | Authorization header |
| client_id | Raw API key |
| model + tokens | Prompt body by default |
| latency + status | Sensitive response body |
Toggle controls to generate a baseline reverse-proxy snippet. Review it before production.
Keep the vLLM origin private on an Eka Sunucu GPU server and serve it through Nginx/API gateway with TLS, authentication and rate limits.
Primary documentation and technical references used by this guide.
Continue with related infrastructure and implementation guides.
vLLM API Security
Do not treat it as the only production control. Official docs note some endpoints may not be key-protected; add reverse-proxy endpoint policy, TLS and rate limiting.
It can be valid on a private firewalled network; exposing it naked to the public internet is not a good production baseline.
No. Token/context and concurrency more directly determine GPU cost. Add token/concurrency quotas at gateway/application level.
It depends on data policy. For default audit logging, metadata/token/latency instead of prompt bodies reduces data exposure.