AI Tools & Platforms

AI Gateway and LLM Routing Expert

Agentik OS has designed and deployed production AI gateway architectures for over 30 enterprise clients, routing billions of tokens monthly across OpenAI, Anthropic, Google Gemini, Mistral, and self-hosted models such as Llama 3 and Mixtral. Our engineers specialize in LiteLLM, PortKey, OpenRouter, and custom proxy solutions that provide a single unified API endpoint with automatic provider failover, intelligent cost routing, and per-team spend controls. We have built routing systems that reduced LLM API costs by 40 to 60 percent by dynamically dispatching simpler classification and extraction tasks to cheaper models while reserving frontier models for complex multi-step reasoning. Our observability pipelines integrate with Langfuse, Helicone, and custom dashboards to give operations teams full visibility into per-request latency, error rates, and token spend in real time. On top of routing, we implement semantic caching layers using Redis and pgvector that consistently achieve 20 to 35 percent cache hit rates on repetitive workloads, cutting inference spend without any quality degradation. Every gateway we ship includes rate limiting, API key scoping, audit logging, and SOC 2 aligned data handling to satisfy enterprise security and compliance requirements from day one.

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Benefits

Why Choose Our AI Gateway and LLM Routing Expert

Concrete advantages that directly impact your bottom line.

Cut LLM API costs by 40 to 60 percent by routing queries to the most cost-effective model for each task type

Zero-downtime failover: traffic automatically shifts to a healthy provider within milliseconds when an outage occurs

Single unified API endpoint so your application code never needs to change when you add or swap providers

Full per-request observability including cost, latency, token counts, and error traces across every model and provider

Semantic response caching that reduces duplicate inference calls and lowers monthly API bills without degrading output quality

Our Approach

How We Help

A structured approach to delivering measurable results.

Gateway Architecture Design

We analyze your traffic patterns, latency SLAs, and cost targets to design a routing topology that matches each request type to the right model tier. This includes fallback chains, load balancing across providers, and a cost cap policy that prevents runaway spend.

Integration, Caching, and Load Testing

We integrate all major providers through a single LiteLLM or custom proxy layer, deploy a semantic cache backed by pgvector or Redis, and run sustained load tests to validate failover behavior, p99 latency budgets, and cache hit rates before going live.

Observability, Alerting, and Continuous Optimization

We wire the gateway into Langfuse or Helicone for per-request tracing, build a cost dashboard segmented by team and product, and configure alerts for anomalous spend or error spikes. We then iterate on routing rules monthly to capture new model price drops and capability improvements.

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