Your OpenAI bill is probably
No credit card required • 10,000 requests free
Avg. Savings
Cache Hit Speed
Setup Time
Direct billing with your provider keys—no markup on API costs
Built for serious teams
Beyond caching: debug your AI agents step-by-step, or deploy entirely on your own infrastructure.
Agent Debugger
See exactly what your AI agents are doing, step by step. Track every decision, tool call, and API cost. Find loops, wasted spend, and optimization opportunities instantly.
'Find me a pizza nearby'
search_restaurants({query: 'pizza'})
Same tool called 3 times — Total cost: $0.009
Calls 2-3 cached: $0.000 — Total saved: $0.006 (67% reduction)
Self-Hosted
EnterpriseDeploy WatchLLM entirely inside your VPC. Zero data leaves your infrastructure. Docker-ready, offline license, works with your existing LLM keys.
Self-hosted deployment gives you complete control over data residency and compliance. Deploy WatchLLM in your SOC2, HIPAA, or ISO-certified infrastructure to meet your specific regulatory requirements.
Your infrastructure, your compliance posture. WatchLLM inherits whatever certifications your environment has.
Contact for EnterpriseComplete Request Lifecycle
From request to insights
Every AI request flows through our optimized pipeline, automatically tracked and analyzed for maximum savings and visibility.
Your Request
AI request sent through WatchLLM proxy
Semantic Cache Check
Vectorized and matched against cached responses
Observability Logging
Every request logged with cost, latency, tokens
Agent Debugging
Multi-step workflows tracked with context
Analytics Dashboard
Real-time insights on savings and performance
Your Request
AI request sent through WatchLLM proxy
Semantic Cache Check
Vectorized and matched against cached responses
Observability Logging
Every request logged with cost, latency, tokens
Agent Debugging
Multi-step workflows tracked with context
Analytics Dashboard
Real-time insights on savings and performance
Understanding Cache Metrics
- Match Accuracy (>95%): How well we identify semantically similar queries
- Hit Rate (40-70%): Percentage of requests that are cache hits (varies by use case)
Real-Time Analytics
See exactly where every dollar goes
Your dashboard shows live request monitoring, cost breakdowns, and predictive analytics—powered by ClickHouse for instant insights at any scale.
Live request monitoring
WebSocket updates in real-time
Cost breakdown
By endpoint, model, and project
Cache hit rate trends
Hourly, daily, monthly views
Token usage analytics
With cost forecasting
Custom budget alerts
Spending limits & notifications
Export to CSV/JSON
For accounting & analysis
Team usage attribution
Across all projects
No credit card required • Explore with simulated data
How It Works
Start saving in 3 steps
No infrastructure changes. No migrations. Just swap one URL.
Change one line
Use your existing OpenAI/Anthropic API keys. WatchLLM never marks up API costs—you pay provider rates directly. We only charge our platform fee.
const client = new OpenAI({
baseURL: "https://proxy.watchllm.dev/v1",
apiKey: process.env.OPENAI_API_KEY, // Your OpenAI key
defaultHeaders: {
"X-WatchLLM-Key": process.env.WATCHLLM_API_KEY // Auth only
}
});Semantic matching
We vectorize your prompt and search our distributed cache for semantically similar queries using cosine similarity. Our matching algorithm achieves >95% accuracy in identifying similar prompts.
// We automatically:
// 1. Vectorize your prompt
// 2. Search Redis vector DB
// 3. Find similar queries (>95% match accuracy)Instant response
Cache hit? Return in <50ms. Cache miss? Forward to your provider and cache the response for next time.
// Cache hit: ~50ms response
// Cache miss: Normal latency
// Auto-caching for future requestsChange one line
Use your existing OpenAI/Anthropic API keys. WatchLLM never marks up API costs—you pay provider rates directly. We only charge our platform fee.
const client = new OpenAI({
baseURL: "https://proxy.watchllm.dev/v1",
apiKey: process.env.OPENAI_API_KEY, // Your OpenAI key
defaultHeaders: {
"X-WatchLLM-Key": process.env.WATCHLLM_API_KEY // Auth only
}
});Semantic matching
We vectorize your prompt and search our distributed cache for semantically similar queries using cosine similarity. Our matching algorithm achieves >95% accuracy in identifying similar prompts.
// We automatically:
// 1. Vectorize your prompt
// 2. Search Redis vector DB
// 3. Find similar queries (>95% match accuracy)Instant response
Cache hit? Return in <50ms. Cache miss? Forward to your provider and cache the response for next time.
// Cache hit: ~50ms response
// Cache miss: Normal latency
// Auto-caching for future requestsPlatform Architecture
Observability-first platform
Every request flows through our edge network for caching, observability, and analytics—all built on ClickHouse telemetry.
API Requests
OpenAI, Claude, Groq, or any LLM endpoint
Semantic Cache
Vector matching + cosine similarity = 70% savings
Telemetry Stream
Logs, metrics, and traces flow to ClickHouse
- ✓ Request payloads (safe)
- ✓ Provider responses
- ✓ Latency metrics
Analytics + Alerts
Real-time insights and anomaly detection
- ✓ Cache hit rate
- ✓ Cost forecasting
- ✓ Anomaly alerts
Provider + Project Keys
Attach keys to unlock observability telemetry flow and secure access to ClickHouse analytics
Semantic Caching
Vector-based request matching for 70% cost savings
Real-time Observability
Streams logs, metrics, and traces to ClickHouse
Analytics Dashboard
Request-scale insights powered by ClickHouse
Secure Key Management
Provider + project keys unlock telemetry flow
Every request is cached, observed, and analyzed—giving you visibility into the cost and performance of your AI integrations.
Why WatchLLM
Cut your AI bill without cutting features
Most apps send duplicate or near-duplicate prompts. You're paying full price every time. We fix that.
Stop Paying Twice
Similar questions get the same answers. WatchLLM detects when your users ask semantically similar prompts and returns cached responses instantly.
See Your Waste
Your dashboard shows exactly how much money you're losing to duplicate requests. Watch it shrink as caching kicks in.
5 Minute Setup
Change your API base URL. That's it. No code changes, no infrastructure, no migrations. Works with your existing OpenAI/Anthropic/Groq code.
Faster Responses
Cache hits return in under 50ms instead of waiting 1-3 seconds for the API. Your users get instant answers.
Usage Alerts
Get notified when you hit 80% of your budget or when a specific endpoint starts burning through cash unexpectedly.
Request History
Every request is logged with cost, latency, and cache status. Export to CSV for your accountant or dig into the data yourself.
Explore our documentation to learn more.
How We Compare
Why teams choose WatchLLM
Building In-House
DIY semantic caching requires:
- •Vector database setup (Pinecone/Weaviate)
- •Embedding pipeline management
- •Cache invalidation logic
- •3+ months engineering time
- •Ongoing maintenance
WatchLLM
5 minutes to production, zero maintenance.
Drop-in proxy with semantic caching, agent debugging, and real-time analytics. No infrastructure setup, no ongoing maintenance, no learning curve.
vs. Other Platforms
| Feature | WatchLLM | Helicone | LangSmith | Portkey |
|---|---|---|---|---|
| Semantic Caching | ✅ 40-70% savings | ❌ | ❌ | ❌ |
| Agent Debugging | ✅ Step-by-step | Partial | ✅ | Partial |
| Self-Hosted | ✅ Full isolation | ❌ | ❌ | ❌ |
| Setup | 1 line of code | SDK required | Complex | Medium |
| Pro Plan Price | $99/mo | $150/mo | $200/mo | $99/mo |
| Cache Hit Speed | <50ms | N/A | N/A | N/A |
Semantic Caching
Agent Debugging
Self-Hosted
Setup
Pro Plan Price
Cache Hit Speed
Comparison accurate as of January 2026. Visit competitor sites for current pricing.
Trusted by Teams
Join hundreds of developers saving on AI costs
Used by teams at
“Cut our OpenAI bill by $2,400/month in the first week. The semantic caching is incredibly accurate—we're seeing 65% cache hit rates on customer support queries.”
“Saved 18 hours of engineering time by not building our own caching layer. WatchLLM pays for itself 10x over just in developer time, plus we're saving $1,800/month on API costs.”
Pricing
Pays for itself in days
If you're spending $200+/month on OpenAI, these plans save you money.
Calculate Your Savings
Estimate your savings from semantic caching in seconds.
Monthly savings from caching
$250
Recommended plan
Pro
Net savings after fee
$151
Break-even time
12 days
Annual savings
$1,812
Assumes an average of $0.002 per request to estimate volume. Adjust after signup.
Start saving $151/month →Free
For side projects
- •10,000 requests/month
- •10 requests/minute
- •Basic semantic caching
- •7-day usage history
- •1 project
Exceeded your limit? No problem:
Cache-only mode after 10k requests (no additional charges)
Starter
For growing applications
- •100,000 requests/month
- •50 requests/minute
- •Advanced semantic caching
- •30-day usage history
- •Email support
Exceeded your limit? No problem:
$0.50 per 1,000 additional requests (up to 200k total)
Pro
For production workloads
- •250,000 requests/month
- •Unlimited requests/minute
- •Priority semantic caching
- •90-day usage history
- •Priority support
Exceeded your limit? No problem:
$0.40 per 1,000 additional requests (up to 750k total)
Agency
For high volume
- •10M+ requests/month
- •Custom rate limits
- •Dedicated infrastructure
- •Custom retention
- •SLA
Exceeded your limit? No problem:
Custom overage rates negotiated
Self-Hosted Deployment
Deploy WatchLLM entirely inside your infrastructure. No data leaves your environment. Works with your existing LLM providers.
Your Infrastructure
Deploy entirely inside your VPC, on-prem, or private cloud
Complete Data Isolation
No data ever leaves your environment—prompts, logs, everything stays local
Use Your Own Keys
Works with your existing OpenAI, Anthropic, Azure, or other LLM API keys
Enterprise Support
Annual license with optional dedicated support and SLAs
For up to 10 developers
What's Included
- ✓All updates for 12 months
- ✓Email support (Standard tier)
- ✓Offline license key
- ✓Docker Compose deployment
Licensing Options
- •Per-developer (up to 10 included)
- •Per-server (unlimited developers)
- •Custom volume discounts available
Support Tiers
Email support during business hours
Priority support with SLA
Dedicated support engineer
Complete Data Isolation
In self-hosted mode, WatchLLM does not receive, store, or process any of your data. All prompts, responses, logs, and analytics remain entirely within your infrastructure.
Self-hosted deployment gives you complete control over data residency and compliance. Deploy WatchLLM in your SOC2, HIPAA, or ISO-certified infrastructure to meet your specific regulatory requirements.
Your infrastructure, your compliance posture. WatchLLM inherits whatever certifications your environment has.
Get a personalized demo and custom quote for your team
FAQ
Frequently asked questions
Everything you need to know about WatchLLM.