Enforce. Attribute. Control.
CapHound sits in front of your LLM calls and makes real-time decisions. Block requests when budgets hit. Route to cheaper models based on your rules. Attribute every dollar to the exact feature, team, or customer that spent it.
Block requests before costs get out of hand
CapHound evaluates every request inline — before it hits your LLM provider. When a budget limit is reached, the request is blocked. Not flagged for review. Blocked.
Hard budget limits
Set spend limits per feature, team, or customer. When the threshold hits, CapHound blocks the request — not an alert, a block.
Runaway protection
A bug triggers 4,000 requests. CapHound stops it at budget. Without it, no one notices until the invoice.
Real-time alerts
Get notified at 80% and 100% of budget via email or Slack. Know before the block fires.
Understand exactly what caused it
Every dollar of AI spend is attributed to the model, feature, team, and customer that generated it. No guesswork. No spreadsheets.
Model
GPT-4o, Claude 3.5, Gemini
Feature
Chat, Search, Summarization
Team
Product, Growth, Internal Tools
Customer
Per-customer cost allocation
Change which model is used — without touching your code
Define rules. CapHound enforces them on every request. Dev environment uses GPT-4o-mini. Free users get the cheaper model. Near budget pressure — CapHound downgrades automatically.
Environment routing
Force cheaper models in dev and staging. Best models only in production. Zero app changes.
Customer-tier routing
Free users get routed to cost-efficient models. Paid users get full capability. Your rules, enforced inline.
Budget-pressure downgrade
When spend approaches the limit, CapHound automatically downgrades to a cheaper model. No manual intervention.
One control layer, every provider
Enforce budgets, route requests, and attribute costs across OpenAI, Anthropic, and Google — from a single integration.
OpenAI
GPT-4o, GPT-4o-mini, o1, o3
Anthropic
Claude 4, Claude 3.5 Sonnet, Haiku
Gemini 1.5 Pro, Gemini 1.5 Flash
Developer-friendly integration
Drop in the SDK and start tracking. No refactoring required.
Drop-in SDK
Install the CapHound SDK and add a single line to your existing OpenAI, Anthropic, or Google client setup. Existing code stays the same.
OpenAI-compatible API surface
CapHound mirrors the OpenAI API format. If your code already calls OpenAI, switching to CapHound is a base URL change — nothing else.
Enterprise-ready from day one
No prompt storage
CapHound operates on metadata only. Prompts, responses, and request bodies are never stored.
Secure routing
All traffic is encrypted in transit. Provider API keys stay in your infrastructure.
Scalable architecture
Cloud-hosted or self-hosted in your own VPC. Handles millions of requests per day.