Control cost, routing, and reliability for every AI request
ClawPipe is a lightweight request layer that sits between your application and LLM providers. It caches, routes, compresses, and governs every call automatically.
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 { ClawPipe } from 'clawpipe-ai';
const pipe = new ClawPipe({ apiKey });
const { text } = await pipe.prompt(messages);
// cached, routed, compressed
// or skipped entirely
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, conversions resolve in <1ms with no LLM call.
Compress context
Strip redundancy and boilerplate. Cut 20-60% of tokens before they're sent.
Check cache
Hash and embedding match. Similar prompts return cached responses instantly.
Route to best model
Pick the cheapest provider/model that meets quality requirements for this specific request.
Execute and learn
Call the provider, track the outcome, and refine routing weights for next time.
Measured results
Real cost savings. Real numbers.
400 prompts across four workload categories. Public benchmark data, reproducible scripts.
Source: benchmarks/results/summary.json · Try the live playground · Estimate your savings
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.
| Capability | ClawPipe | LiteLLM | Direct API | DIY middleware |
|---|---|---|---|---|
| Deterministic resolution (skip LLM) | Yes | No | No | Manual |
| Semantic caching | Yes | Hash only | No | Manual |
| Context compression | Yes | No | No | Manual |
| Self-learning routing | Yes | No | No | Manual |
| Multi-provider failover | Yes | Yes | No | Manual |
| Per-project analytics | Yes | Partial | No | Manual |
| SDK-local (no proxy hop) | Yes | Proxy | Yes | Yes |
| Offline / local model support | Yes | No | No | Manual |
Pricing
Start free. Scale when ready.
Every plan includes the full pipeline. No feature gating.
Free
For evaluation and side projects
- 1,000 calls/day
- All pipeline stages
- 1 project
- Community support
Pro
For production apps with real traffic
- 100,000 calls/day
- Unlimited projects
- Analytics dashboard
- Email support
Team
For teams shipping AI features together
- 1,000,000 calls/day
- Team management
- SLA guarantee
- Priority support
Enterprise
For organizations with compliance needs
- Unlimited calls
- SSO + audit logs
- Dedicated infrastructure
- 24/7 support + SLA
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
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.