LLM Infrastructure Built for Enterprise
Seven providers behind one API. Automatic failover. Complete observability. Production-ready in weeks, not years.
The problem: Calling an LLM API is easy. Building production infrastructure around it—provider failover, cost tracking, context management, security boundaries—takes 12-18 months and millions in engineering.
Platform Architecture
A complete stack designed for enterprise AI workloads
Core Capabilities
Everything you need to run LLMs in production
LLM Gateway
7+ providers, one API. Circuit breaker with automatic failover—so agents stay up when OpenAI goes down.
Full Observability
Every request captured. Cross-provider analytics in real-time—so you know exactly what failed and how much it cost.
Context Management
Hybrid caching, auto history, PDF/DOCX extraction built-in—so agents remember conversations and process documents automatically.
Enterprise Security
Row-level isolation, AES-256 encryption, full audit trail—so you pass security reviews without custom compliance work.
The Intelligence Flywheel
Cross-provider insights that single-vendor platforms can't match
Why this matters: Single-provider platforms only see their own performance. AgentShelf captures cross-provider data—provider, model, tokens, latency, cost. Route simple tasks to fast, cheap models and complex work to advanced ones—then prove to auditors exactly what happened in any conversation.
Skip the 18-Month Build.
Go production-ready in weeks with AgentShelf.