⚔️ INFRASTRUCTURE COMPARISON — Updated March 2026

SentinelGateway vs. Helicone

Observability without the data leak.

The numbers that matter at production scale

~13ms gateway overhead 0 prompts sent to third-party servers 1 binary vs. 4 containers Air-gapped VPC deployment No cloud proxy in the critical path
Architecture Comparison

The Helicone Catch-22.

Choose Option A — Helicone's cloud proxy — and every prompt your users send travels through a third-party server before reaching your LLM provider. You gain a dashboard, but you accept a 50–80ms network hop on every single request, and your raw prompts live on infrastructure you do not control. For teams with any HIPAA, SOC 2, or GDPR obligation, this is a non-starter.

Choose Option B — self-host Helicone for privacy — and you must orchestrate a four-container stack: the main application server, a ClickHouse analytics database, an authentication service, and a mailer. Each component needs its own monitoring, patching cycle, and on-call rotation. SentinelGateway takes a different position: a single compiled Go binary that runs completely local to your VPC. Audit logs, PII scrubbing, semantic caching, and latency tracking are not sidecar services — they are the binary, executing in the same process, adding ~13ms and zero network hops.

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Helicone Architecture vs Sentinel

Feature-by-Feature Breakdown

Every capability that matters at production scale, compared row by row.

Feature
SentinelGateway
Helicone
Performance & Latency

Gateway overhead

Latency added per request

~13ms (Go binary)
Adds 50–80ms Cloud network hop per request

Performance under load

Latency profile at production RPS

Flat latency at 5k+ RPS
Cloud proxy throttles Shared egress at scale
Privacy & Security

Data privacy model

Where your prompts physically travel

Local VPC (air-gapped)
Cloud proxy / third-party server

PII scrubbing (built-in)

Cards, SSNs, emails — before LLM call. Per NIST SP 800-122 & NIST IR 8053.

Native, in-memory
Requires external integration

Prompt injection blocking

Jailbreak / DAN pattern detection

11 built-in patterns
Not included

Secret / credential scanning

AWS keys, GitHub tokens, PEM keys

Built-in, 6 secret types
Not included
Deployment & Ops

Deployment footprint

What you run in production

Single Go Binary
4-container stack App, ClickHouse, Auth, Mailer

Infrastructure overhead

Ongoing ops burden

Zero
Patch ClickHouse, scale auth Separate upgrade cycle per container

OpenAI wire-format compatibility

Drop-in base_url replacement

Full compatibility
Header-based injection
Observability & Routing

Per-request audit log

Raw + redacted prompts, side by side

Built-in, async write
Available (cloud only) Prompts leave your infrastructure

Semantic prompt cache

Dedup repeat prompts, zero token cost

Redis, tier-scaled TTL
Not included

Multi-provider routing

OpenAI, Anthropic, Gemini, Groq

Yes — model-prefix routing
Observability only, no routing

Automatic fallback on 429/5xx

Transparent retry on transient errors

Automatic — zero config
Not included
Multi-tenancy & Billing

Multi-tenant key isolation

One API key per tenant, K8s NetworkPolicy

Built-in, subnet-isolated
Basic team support No subnet-level isolation

Metered billing (Stripe)

Token-level cost tracking, hourly sync

Built-in, hourly sync
Requires separate billing system

BYOK (Bring Your Own Keys)

Enterprise: inject own provider keys

Enterprise tier, per-provider
Not included
Migration Guide

One line. Your data stays put.

If you're using Helicone's header injection today, migrating to SentinelGateway means swapping one endpoint. Your existing OpenAI SDK calls, LangChain chains, or LlamaIndex queries need zero modification. You gain PII scrubbing, semantic caching, and fallback routing — all running inside your own VPC.

  • No SDK changes. No new dependencies.
  • Free tier: 10,000 tokens, no credit card.
  • Prompts never leave your infrastructure.
migration.py

# Before: Helicone header proxy

from openai import OpenAI

client = OpenAI(

base_url="https://oai.helicone.ai/v1",

default_headers={"Helicone-Auth": key}

)

# After: SentinelGateway — air-gapped, no headers

from openai import OpenAI

client = OpenAI(

base_url="https://api.sentinelgateway.ai/v1",

api_key="sg-..."

)

✓ PII scrubbing active — prompts stay local

✓ Fallback routing active

✓ Semantic cache active

Technical Standards & References

  1. [1] National Institute of Standards and Technology. NIST Special Publication 800-122: Guide to Protecting the Confidentiality of Personally Identifiable Information (PII). U.S. Department of Commerce, April 2010.
  2. [2] National Institute of Standards and Technology. NIST Interagency Report 8053: De-identification of Personal Information. U.S. Department of Commerce, October 2015.

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