The control plane for production AI

Observe, cache, and controlevery LLM call in production

WatchLLM is the infrastructure layer between your app and your LLM providers. Real-time observability, semantic caching, cost controls, and agent debugging—without changing your code.

Free tier · No credit card · 10k requests/mo

OpenAI-compatible API1-line integrationSelf-host or cloud
ingestcacherouteobserve
---msP99 Latency
---%Cache Hit Rate
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Works with every major LLM provider. Your keys, your billing, zero markup.

OpenAIDirect Billing
AnthropicDirect Billing
GroqDirect Billing
OpenRouter

Platform Capabilities

Built for production AI systems

The infrastructure primitives you need to ship, scale, and operate LLM-powered applications with confidence.

Core

Real-time Observability

Full visibility into every LLM call across your entire stack

  • Request-level traces with latency breakdown
  • Token usage and cost attribution per endpoint
  • Live dashboard with anomaly detection
Unique to WatchLLM

Agent Debugger

Step-through timeline with tool call replay for agentic workflows

  • Multi-step tool call tracing
  • Infinite loop detection and alerts
  • Per-step cost and latency profiling
Production Proven

Semantic Cache

Sub-50ms responses for similar prompts with streaming support

  • Vector-based similarity matching (>95% accuracy)
  • Configurable TTL and cache invalidation
  • Request deduplication and race protection
SOC 2 Ready

Security and Compliance

Enterprise-grade encryption with zero prompt storage on disk

  • AES-256-GCM with PBKDF2 key derivation
  • Full audit trail and GDPR compliance
  • API key leak prevention and anomaly alerts

All capabilities are live in production today. Read the integration guide

Why WatchLLM

Everything you need to run LLMs in production

One proxy layer that gives you observability, caching, cost controls, and security across every provider. Ship faster, operate with confidence.

Full telemetry

Real-time Traces

Every LLM call is traced with latency, token count, cost, and cache status. Stream data into your dashboard or export to your observability stack.

Unique

Agent Debugger

Step-through agentic workflows with tool call replay, loop detection, and per-step cost profiling. Debug multi-turn chains in minutes, not hours.

<50ms

Semantic Caching

Vector-based similarity matching returns cached responses in under 50ms. Streaming-compatible with configurable TTL and automatic deduplication.

0% variance

Cost Controls

Budget alerts, per-endpoint cost attribution, and verified pricing for 21+ models with 0% variance. Know exactly where every dollar goes.

SOC 2 ready

Security and Audit

AES-256-GCM encryption, zero prompt storage on disk, GDPR compliance, and full audit trails. API key leak prevention built in.

4 providers

Multi-provider Routing

OpenAI, Anthropic, Groq, and OpenRouter through a single endpoint. Switch providers with a header change. Your keys, your billing, no markup.

How It Works

Production-ready in 3 steps

No infrastructure changes. No migrations. Point your base URL at WatchLLM and start observing.

1

Point your base URL

Swap one line in your existing OpenAI/Anthropic code. Your API keys stay yours. WatchLLM never marks up provider costs.

typescript
const client = new OpenAI({
  baseURL: "https://proxy.watchllm.dev/v1",
  apiKey: process.env.OPENAI_API_KEY, // Your key
  defaultHeaders: {
    "X-WatchLLM-Key": process.env.WATCHLLM_API_KEY
  }
});
2

Every call is traced

WatchLLM logs latency, tokens, cost, and cache status for every request. Semantically similar prompts are matched via vector embeddings with >95% accuracy and served from cache in under 50ms.

typescript
// For every request WatchLLM automatically:
// 1. Traces latency, tokens, and cost
// 2. Vectorizes the prompt for cache lookup
// 3. Returns a cached response or forwards to the provider
3

Observe and control

Open your dashboard to see real-time usage, cost breakdowns, cache performance, and anomaly alerts. Debug agent workflows step by step.

typescript
// Dashboard gives you:
// - Real-time cost and latency graphs
// - Per-endpoint request history
// - Agent debugger with tool call replay

Works With Everything

Drop-in replacement for any OpenAI-compatible endpoint

OpenAI✓ Verified
Anthropic✓ Verified
GROQ
Groq✓ Verified
OR
OpenRouter✓ Verified

Framework & SDK Integrations

LangChainSDK Available
LlamaIndexSDK Available
Vercel AI SDKDrop-in Proxy
Next.jsNative Support
PythonOfficial SDK
Node.jsOfficial SDK

Just change your base URL — no code rewrite needed

baseURL:"https://api.watchllm.dev/v1"
Enterprise Security

Security You Can Trust

Bank-level security for your API keys and sensitive data

SOC 2 Type II

Enterprise security controls

In Progress

AES-256-GCM

Military-grade encryption

Active

GDPR Compliant

EU data protection

Active

ISO 27001

Information security

Planned Q2

Security Features

End-to-end encryption (AES-256-GCM)
PBKDF2 key derivation (100k iterations)
Automatic API key leak detection
Comprehensive audit logging
Anomaly detection & alerting
Zero-knowledge architecture
Regular security audits
Vulnerability disclosure program

Need a security review?

Request our security whitepaper or schedule a call with our team

Contact Security
99.99%
Uptime SLA
Edge-deployed globally
Last 90 days
48ms
P99 Latency
Cache hit response
Median: 12ms
500+
Engineering Teams
In production
+200% QoQ
$2.3M+
Infrastructure Saved
Via caching alone
+127% QoQ

Trusted by teams at

YC Portfolio Companies
Enterprise SaaS
AI Research Labs
FinTech
Developer Tools

"WatchLLM gave us the observability layer we were building in-house. Saved $47k in month one just from the caching, and the agent debugger cut our debugging time from hours to minutes."

SC
Sarah Chen
VP Engineering, AI Startup (YC W24)

"We needed production-grade LLM tracing without rewriting our entire stack. One-line integration, full request-level visibility, and the cost attribution is something no other tool offers at this precision."

MR
Michael Rodriguez
Lead ML Engineer, Enterprise SaaS

"The semantic cache alone pays for the platform. But what keeps us on WatchLLM is the reliability. 99.99% uptime, sub-50ms cache hits, and zero vendor lock-in across four providers."

AT
Alex Thompson
CTO, FinTech Startup

Trusted by engineering teams shipping AI to production every day

Pricing

Transparent, usage-based pricing

Start free. Scale as you grow. No markup on provider API costs.

Estimate your ROI

See how much caching saves based on your current LLM spend.

$
50%
30%70%

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 building for free →

Free

For side projects

$0forever
  • 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)

Most Popular

Starter

For growing applications

Save 20% annual
$49/month
  • 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

Save 20% annual
$99/month
  • 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

Custom
  • 10M+ requests/month
  • Custom rate limits
  • Dedicated infrastructure
  • Custom retention
  • SLA

Exceeded your limit? No problem:

Custom overage rates negotiated

FAQ

Frequently asked questions

Everything you need to know about WatchLLM.