RRC Gateway —
AI API Cost
Reducer.
We Fix That.
RRC is the AI API cost reducer that slashes OpenAI, Gemini & Claude costs by up to 90%. No rewrites. No SDK swaps. Just change your base URL and let our engine handle the rest.
Trusted AI API cost reducer for OpenAI • Gemini • Claude • Llama
What is an AI API Cost Reducer?
An AI API cost reducer is a drop-in proxy between your app and LLM providers that eliminates redundant API spend. Top methods:
- RRC Gateway: AI API cost reducer — semantic caching eliminates redundant calls for similar queries ($0.00 / <1ms) + virtual memory + smart routing — 90% saving in 3 lines
- LLMLingua: Uses prompt compression to reduce token counts by up to 20x with minimal performance loss
- RouteLLM: An ML-based router that directs simple queries to cheaper models, saving 85% on costs
- GPTCache: Implements semantic caching to eliminate redundant API calls for similar user queries
90%
Cost Reduction
3
Lines to Integrate
$0
Per Cache Hit
import openai
client = openai.OpenAI(
api_key="your-rrc-key",
base_url="https://api.rrc.com/v1"
)
# That's it. 90% savings start now.|
API Money Wasted Industry-Wide (Today)
$0
Estimated redundant token spend (duplicate prompts, oversized context)
The Problem We Solve — Why You Need an AI API Cost Reducer
Every Call to OpenAI
Is a Bet You're Losing.
Without an AI API cost reducer, you re-pay for duplicate prompts, 50K token system messages, and GPT-4o for "thanks" replies. See how to reduce AI API costs →
Problem 01
Context Rot
You're re-sending the same 50,000 tokens of system prompt on every single call. LLMs forget. You pay. Again. And again. Every conversation from scratch.
Problem 02
Duplicate Spend
"What is the refund policy?" gets asked a thousand times a day. You pay for a thousand API calls. Each answer is identical. That's 100% waste on repeat queries.
Problem 03
Overkill Routing
You're paying GPT-4o rates to answer "thanks". Simple queries don't need frontier models. But without intelligence, everything goes to the most expensive endpoint.
How RRC Works — The Core Engine
Three Layers of Intelligence.
One Drop-In Proxy.
Pillar 01 — Virtual Memory
Your LLM Now Has
Infinite Memory.
We compress your entire knowledge base into dense vector embeddings. Instead of sending 100,000 tokens of context on every call, RRC retrieves only the exact 2,000 tokens the model needs. Same answer. 98% fewer tokens.
Pillar 02 — Semantic Caching
Stop Paying
for Repeat Answers.
Our two-tier cache intercepts semantically identical prompts — not just exact matches. "Refund policy?" and "How do I get a refund?" map to the same cached answer. Cost per cached hit: $0.00.
Pillar 03 — Smart Routing
Right Model.
Right Cost. Always.
RRC scores every prompt in real-time. Complex reasoning? It gets Claude or GPT-4o. Simple lookup? Routed to Flash or Llama 3 at a fraction of the cost. You always get the right answer at the lowest possible price.
Why Teams Are Switching
The Math Is Brutal.
The Fix Takes 3 Lines.
Works with every major provider
OpenAI, Gemini, Claude, Mistral, Llama — RRC is provider-agnostic.
Zero code rewrites required
OpenAI-compatible API. Point your existing client at RRC and go.
Full telemetry & cost visibility
See every token saved, every cache hit, every routing decision in real time.
Public Beta Open
Test Instantly.
Zero Waiting.
Anyone can test and deploy RRC Gateway immediately. Full access to ChatGPT-style playground, semantic caching, virtual memory, and real-time dashboard telemetry.
Launch Free Playground_No credit card required. Free during public beta.
See Your Real Numbers
How Much Are You
Leaving on the Table?
Drag the sliders. Watch your savings appear.
Standard Cost
Gateway Cost
Monthly Net Savings