SentinelGateway vs. LiteLLM
Why engineering teams are migrating from Python middleware to native Go infrastructure.
The numbers that matter at production scale
Stop taping your infrastructure together.
Running LiteLLM in production means managing a sprawling dependency chain: a Redis cluster for caching, a PostgreSQL instance for state, and a Presidio API service for PII redaction — all wired together by hand, all needing separate monitoring, scaling, and on-call rotations.
SentinelGateway is a single compiled Go binary. Caching, PII scrubbing, and fallback routing are not plugins or integrations — they are the binary. Deploy it anywhere in under five minutes. Nothing to patch, nothing to configure, nothing to watch break at 2 AM.
No credit card required. 10,000 free tokens.
Feature-by-Feature Breakdown
Every capability that matters at production scale, compared row by row.
Gateway overhead
Latency added per request
Performance under load
Latency profile at production RPS
Architecture
What runs in production
Multi-provider routing
OpenAI, Anthropic, Gemini, Groq
Automatic fallback on 429/5xx
Transparent retry on transient errors
OpenAI wire-format compatibility
Drop-in base_url replacement
PII redaction (built-in)
Cards, SSNs, emails — no external API. Per NIST SP 800-122 & NIST IR 8053.
Prompt injection blocking
Jailbreak / DAN pattern detection
Secret / credential scanning
AWS keys, GitHub tokens, PEM keys
Granular per-tenant security toggles
Enable/disable per PII type, per tenant
Semantic prompt cache
Dedup repeat prompts, zero token cost
Per-request audit log
Raw + redacted prompts, side by side
Per-provider latency tracking
Spot degraded endpoints before users do
Multi-tenant key isolation
One API key per tenant, K8s NetworkPolicy
Metered billing (Stripe)
Token-level cost tracking, hourly sync
BYOK (Bring Your Own Keys)
Enterprise: inject own provider keys
Two lines. Sixty seconds.
If you're already using LiteLLM with the OpenAI SDK format, migrating to SentinelGateway is a single endpoint change. Your existing LangChain, LlamaIndex, or custom code works without modification.
- No SDK changes. No new dependencies.
- Free tier: 10,000 tokens, no credit card.
- PII scrubbing active on first request.
# Before: LiteLLM proxy
import litellm
response = litellm.completion(
model="gpt-4o",
...
)
# After: SentinelGateway — zero refactoring
from openai import OpenAI
client = OpenAI(
base_url="https://api.sentinelgateway.ai/v1",
api_key="sg-..."
)
✓ PII scrubbing active
✓ Fallback routing active
✓ Semantic cache active
Technical Standards & References
- [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] National Institute of Standards and Technology. NIST Interagency Report 8053: De-identification of Personal Information. U.S. Department of Commerce, October 2015.
Stop juggling API keys. Start building.
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