Cut Your LLM Costs by 30–50%
Automatically.

ClawPipe is the cost optimization layer for LLM apps. Skip, route, cache, and compress every AI request — across OpenAI, Anthropic, Groq, Gemini, and more. No code rewrite.

npm install clawpipe-ai
Works with every major LLM provider
OpenAI Anthropic Google Gemini Groq DeepSeek Mistral Ollama

Your AI Stack Is Bleeding Money

Every team shipping LLM features runs into the same four leaks. Most never notice until the monthly invoice lands.

Duplicate prompts

You pay the same provider twice for prompts that are 95% identical. No cache, no dedup.

Overkill models

GPT-4 answering "what day is it?" Simple tasks hit your most expensive model by default.

Wasted tokens

Uncompressed context, boilerplate headers, and redundant chunks inflate every request.

Zero visibility

You can't optimize what you can't measure. Most teams have no per-project LLM cost data.

ClawPipe fixes this automatically.

One SDK. Every Request Optimized.

Replace your provider client with pipe.prompt(). ClawPipe handles the rest — caching, routing, compression, failover — with no code rewrite and no proxy server.

Before
import OpenAI from 'openai';
const openai = new OpenAI();

const res = await openai.chat.completions
  .create({ model: 'gpt-4o', messages });
// full-price, every time
After
import { ClawPipe } from 'clawpipe-ai';
const pipe = new ClawPipe({ apiKey });

const { text } = await pipe.prompt(messages);
// skipped · cached · routed · compressed
SkipDeterministic prompts never hit an LLM.
RouteCheapest model that meets quality bar.
CacheHash + embedding dedup across requests.
CompressPack context to cut token counts.

What Happens to Every Request

1

Skip if deterministic

Math, JSON, dates, and rule-based prompts resolve without an LLM call.

2

Compress context

Strip boilerplate and dedup content to cut 20–60% of tokens.

3

Check cache

Similar prompts return cached responses in milliseconds.

4

Route smart

Pick the cheapest model that meets your quality bar.

5

Execute & learn

Track outcomes and refine routing for the next call.

Measured Benchmark · 400 Real Prompts

Real Cost Savings. Real Numbers.

We ran 400 prompts across four workload categories (boostable, packable, simple, complex) with and without the pipeline. Here's what we measured.

57.3%
Average cost reduction
30%
Prompts resolved without an LLM call (Booster)
35%
Cache hit rate on repeated prompts
<1ms
Pipeline overhead per request
Source: benchmarks/results/summary.json · 400 prompts · full scripts in benchmarks/ · reproducible with npm run benchmark. Try your own prompts in the live playground or estimate savings with our cost calculator.

Every Request, Optimized Three Ways

Cost Optimization

  • Agent Booster — skip LLM calls for deterministic prompts
  • Context Packing — compress tokens by 20–60%
  • Semantic Cache — hash and embedding-based dedup
  • Self-Learning Router — cheapest model that meets quality bar

Performance

  • Sub-millisecond pipeline overhead
  • Swarm orchestration — parallel multi-model queries
  • Local fallback via Ollama and llamafile
  • Pipeline tracing for per-stage latency analysis

Reliability

  • Multi-provider failover with circuit breakers
  • Automatic retries with exponential backoff
  • Per-project rate limiting and budget caps
  • Real-time analytics and request logs

Built for the Teams Shipping AI Today

From solo indie hackers to production infra teams, ClawPipe slots into whatever you're building.

AI SaaS

Slash your OpenAI bill without changing product UX. Per-user cost caps and usage analytics included.

Agents & Copilots

Route simple tool calls to cheap models, complex reasoning to frontier models. Automatic.

RAG Systems

Pack retrieved context to cut tokens. Cache repeated queries. Fall back across providers.

Chatbots

Cache common turns, route trivial responses away from LLMs, preserve conversational context efficiently.

Why Not Just Use LiteLLM or LangChain?

They route requests. ClawPipe optimizes them. Routers move traffic to providers. ClawPipe also skips, caches, compresses, and learns — so you pay less on every call, not just the cheapest one.

Feature comparison between ClawPipe and alternatives
FeatureClawPipeBifrostLiteLLMInworld
Agent Booster (skip AI)YesNoNoNo
Context PackingYesNoNoNo
Semantic CachingYesNoHash onlyNo
Self-Learning RoutingYesNoNoNo
Multi-ProviderYesYesYesYes
Swarm OrchestrationYesNoNoNo
Offline / Local LLMsYesNoNoNo
RAG PipelineYesNoNoNo
Voice I/OYesNoNoNo
Pipeline TracingYesNoNoNo

Pricing

Free

$0
  • 1,000 calls/day
  • All pipeline stages
  • 1 project
  • Community support
Get Started

Team

$149/mo
  • 1,000,000 calls/day
  • Team management
  • SLA guarantee
  • Priority support
Contact Us

Enterprise

Custom
  • Unlimited calls
  • SSO + audit logs
  • Dedicated infra
  • 24/7 support
Talk to Sales

If you spend more than $100/month on LLM APIs, Pro pays for itself at a 57% savings rate. Estimate your savings →

Built for Production

ClawPipe is infrastructure. It runs the same way in a solo side project and an enterprise deployment: minimal attack surface, least-privilege data handling, and full auditability.

Read the security page →
  • API keys stored as SHA-256 hashes — plaintext shown once, never again.
  • Provider keys encrypted at rest in Cloudflare KV.
  • No prompt content in telemetry. Per-project rate limits and budget caps.
  • Run fully local via Ollama or llamafile — your data never leaves your infra.
  • Audit logs for auth events, admin actions, and sensitive mutations.

Start Saving on Every AI Call — Today

Free tier gives you 1,000 calls/day and every pipeline stage. No credit card. Takes about 60 seconds to install.