The only AI gateway that skips LLM calls.
ClawPipe's Booster resolves greetings, math, dates, JSON, and canonical lookups deterministically, inside the SDK, before the network hop. Everything else flows through a self-learning router across 21 providers, with caching and context packing on the way out.
Public benchmark in progress → Methodology v1.0 locked 2026-05-18.
The problem
Most AI apps waste 30-50% of their LLM spend
Not because models are expensive. Because every request gets handled the same way: full-price, uncached, to the most capable model available.
Duplicate prompts
Semantically identical requests hit the provider every time. No caching, no deduplication.
Overkill models
GPT-4 answering date conversions and simple lookups. The wrong model for the job, every time.
Wasted tokens
Bloated system prompts, repeated context, uncompressed history inflating every request.
No visibility
No per-project cost breakdown, no routing analytics, no way to know where the money goes.
The platform
One request layer. Three outcomes.
Replace your provider client with pipe.prompt(). ClawPipe handles everything between your app and the LLM.
Cost control
- Semantic caching deduplicates similar prompts
- Context compression cuts tokens 20-60%
- Deterministic resolution skips the LLM entirely
- Smart routing picks the cheapest viable model
Reliability
- Multi-provider failover with circuit breakers
- Automatic retries with exponential backoff
- Per-project rate limits and budget caps
- Local fallback via Ollama and llamafile
Governance
- Provider abstraction across 7+ services
- Per-request tracing and analytics
- Team-wide routing policies
- Self-learning model selection
Integration
Replace one import. Keep your code.
import OpenAI from 'openai';
const client = new OpenAI();
const res = await client.chat.completions
.create({
model: 'gpt-4o',
messages,
});
// full-price, every time
import OpenAI from 'openai';
const client = new OpenAI({
baseURL: 'https://api.clawpipe.ai/v1',
apiKey: process.env.CLAWPIPE_API_KEY,
defaultHeaders: {
'X-Project-Id': process.env.CLAWPIPE_PROJECT_ID,
},
});
const res = await client.chat.completions.create({
model: 'gpt-4o',
messages,
});
// booster / cache / router run on every request
Or use our SDK for finer-grained control: import { ClawPipe } from 'clawpipe-ai'.
Available for TypeScript, Python, and Go. Or use the REST API from any language.
How it works
What happens to every request
Skip if deterministic
Math, dates, JSON, canonical lookups, conversions: resolved in under 1ms by 246 regex rules. Zero LLM call. This is the wedge; every other stage is support.
- 02 PACKStrip redundancy and boilerplate. Cut 20-60% of tokens before they leave the SDK.
- 03 CACHEHash plus embedding match. Similar prompts return cached responses instantly.
- 04 ROUTEPick the cheapest provider and model that meets quality requirements for this request.
- 05 CALL & LEARNDispatch to one of 21 providers. Track outcome. Refine routing weights for next time.
Public benchmark in progress
Numbers coming. Methodology already open.
Pre-registered methodology v1.0 published before any results. 4 baselines (raw, provider prompt caching, Cloudflare AI Gateway, ClawPipe) across 3 workload buckets (agent / chat / extraction). 95% Wilson confidence intervals on the headline metric. Public comment window closed 2026-05-18 (methodology locked).
Prior synthetic in-house run on a 200-prompt dataset (2 passes, mocked gateway) is preserved for transparency at benchmarks/; we are not citing its numbers on this site until the measured run lands.
Read methodology v1.0 · Leave a comment · Try the playground
Use cases
Built for production AI workloads
AI SaaS products
Control per-customer LLM costs without changing product UX. Budget caps, routing policies, and usage analytics per project.
Agents and copilots
Route simple tool calls to cheap models, complex reasoning to frontier models. The router learns your traffic pattern.
RAG systems
Compress retrieved context before it hits the LLM. Cache repeated queries. Fall back across providers if one is down.
Chat applications
Cache common conversation turns. Route trivial responses away from expensive models. Reduce cost per conversation.
Multi-tenant platforms
Isolate cost and routing per tenant. Enforce different model policies per customer tier. One integration, many projects.
Internal tools
Give your team AI features without unpredictable provider bills. Set daily caps, preferred models, and fallback chains.
Comparison
How ClawPipe compares
Routers move traffic between providers. ClawPipe also skips, caches, compresses, and learns from every request. The difference is cost optimization, not just request dispatch. Comparison reflects each tool's documented out-of-box behavior as of 2026-05; verify with each project's docs before procurement.
| Capability | ClawPipe | LiteLLM | Direct API | DIY middleware |
|---|---|---|---|---|
| Deterministic resolution (skip LLM) | Built-in | Not in core | Not provided | Build yourself |
| Semantic caching | Built-in | Hash-key cache only | Not provided | Build yourself |
| Context compression | Built-in | Not in core | Not provided | Build yourself |
| Self-learning routing | Built-in | Static rules | Not applicable | Build yourself |
| Multi-provider failover | Built-in | Built-in | Not applicable | Build yourself |
| Per-project analytics | Built-in | Built-in | Provider-only | Build yourself |
| SDK-local (no proxy hop) | Yes | Proxy required | Yes | Depends |
| Offline / local model support | Built-in | Not in core | Not applicable | Build yourself |
ROI Calculator
How much will you save?
Conservative estimates. Based on real pipeline performance.
Pricing
Start free. Scale when ready.
Every plan includes the full pipeline. No feature gating.
- All pipeline stages
- 1 project
- SDK + gateway access
- Community support
- Unlimited projects
- Analytics dashboard
- Router weight learning
- Email support
- SLA guarantee
- Team management
- Dedicated routing
- Slack support
- SSO + audit logs
- Dedicated infra
- Custom SLA
- 24/7 support
Security and reliability
Built for production infrastructure
ClawPipe handles sensitive request flows. We designed it for teams that can't afford surprises in their AI stack.
Read the security page- KeysSHA-256 hashed. Plaintext shown once.
- PromptsNever logged or stored. Hash-only for cache.
- Provider keysEncrypted at rest in Cloudflare KV.
- IsolationPer-invocation V8 context. No shared state.
- Local modeSDK + Ollama = data never leaves your machine.
Frequently asked questions
https://api.clawpipe.ai/v1 and we run booster / cache / router / provider on every request, returning the standard OpenAI response shape. Streaming SSE is supported. No code changes beyond setting baseURL and adding your X-Project-Id header.Start controlling your AI costs today
Free tier includes 1,000 calls/day and the full pipeline. No credit card. Set up takes about 60 seconds.