Managed AI Gateway Service

Your API Gateway Is Now Your AI Control Plane. We Operate It.

KubeNiche designs and operates AI-native API gateways — handling LLM traffic routing, semantic caching, MCP server exposure, token budget enforcement, prompt injection defence, and zero-trust auth across Kong, Envoy, LiteLLM Proxy, AWS API Gateway, and Azure APIM. Fully managed. Fully auditable.

Review My Gateway Architecture

30–60%

Token spend reduction via semantic caching and model tiering

Day 1

Token budget enforcement, MCP auth, and prompt injection defence from first deployment

< 15 min

Incident response SLA for managed gateway operations

Traditional API Gateways Weren't Built for Agentic AI Workloads

When an AI agent calls a tool via MCP, spawns a sub-agent, or fans out across five LLM providers in a single workflow, your legacy gateway has no idea what's happening. Token budgets blow past limits. Prompt injection slips through. Model fallback logic lives in application code instead of the routing layer. Chargeback is impossible. In the agentic era, your API gateway is your AI cost control plane, your security perimeter, and your observability chokepoint — all at once. Most SMB deployments weren't designed with any of that in mind. We've operated these platforms hands-on and know exactly where the gaps are.

Platforms We Operate

AI Gateways, LLM Routers & MCP Infrastructure

Hands-on design, deployment, and SRE experience across open source and managed platforms — not just familiarity.

Open Source — Top 3 AI & LLM Gateways

LiteLLM ProxyUnified LLM gateway — multi-provider routing (OpenAI, Anthropic, Bedrock, Azure OpenAI, Gemini, Ollama), virtual keys, per-team token budgets, semantic caching, spend tracking, MCP tool integration, OpenAI-compatible API surface

Kong Gateway + AI Gateway PluginAI Proxy plugin for LLM routing and prompt/response transformation; AI Rate Limiting for token-based quotas; AI Semantic Caching; AI Prompt Guard for injection defence; native K8s Ingress Controller and Gateway API support

Envoy Proxy + ext_proc / ext_authzxDS control plane, gRPC-native, Wasm filter extensions for LLM request interception, external processing filters for prompt sanitisation, Istio sidecar integration, service mesh–grade mTLS

Traefik + Middleware ChainsK8s-native ingress, automatic TLS via cert-manager, custom middleware for LLM header injection and token forwarding, lightweight footprint for SMB clusters

Portkey GatewayOpen-source AI gateway — provider fallbacks, load balancing across LLM endpoints, guardrails, request/response logging, virtual keys, OpenAI-compatible proxy

TykOpen-source API management, GraphQL, developer portal, analytics — strong fit for REST/GraphQL API products alongside LLM traffic

Managed / Cloud — Top 3 AI-Capable Platforms

Azure API Management + AI GatewayNative OpenAI token quota policies, semantic caching via Azure Cache for Redis, load balancing across Azure OpenAI PTU and pay-as-you-go endpoints, built-in developer portal, hybrid gateway for on-prem LLM endpoints

AWS API Gateway + Bedrock IntegrationREST & HTTP APIs, Lambda integration, usage plans, WAF integration; pairs with Amazon Bedrock Guardrails for prompt injection filtering and content moderation at the routing layer

Kong KonnectSaaS control plane for Kong Gateway — centralized AI plugin config, analytics, Dev Portal, AI Semantic Caching and AI Prompt Guard managed from a single control plane across multi-cloud deployments

Google Cloud ApigeeEnterprise API management, Vertex AI integration, monetization, analytics, hybrid deployment — strong fit for GCP-native AI workloads

Cloudflare AI GatewayEdge-native LLM proxy — provider routing, caching, rate limiting, logging, and analytics for OpenAI, Anthropic, Workers AI, and Bedrock; zero-config deployment via Cloudflare Workers

MCP Server Infrastructure

MCP (Model Context Protocol) ServersAnthropic's open standard for tool exposure to AI agents — we deploy, secure, and operate MCP servers that expose your internal APIs, databases, and SaaS integrations as callable tools for Claude, GPT-4o, Gemini, and open-source agents

MCP-over-HTTP (Streamable HTTP transport)The 2025 MCP spec update — replaces SSE-only transport with stateless HTTP, enabling MCP servers behind standard API gateways with full auth, rate limiting, and observability

Tool Registry & DiscoveryCentralised MCP tool registry — agents discover available tools at runtime via the gateway; tool-level RBAC, versioning, and deprecation managed as code

What's Included

Core Capabilities

AI Gateway Architecture & Platform Selection

We assess your LLM provider mix, agent framework (LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel), traffic patterns, and cost targets to recommend the right gateway stack. LiteLLM Proxy for unified multi-provider routing? Kong with AI plugins for an existing K8s platform? Azure APIM for Azure OpenAI PTU load balancing? We've run all of them in production and know the real trade-offs — not just the vendor pitch.

LLM Routing, Fallbacks & Semantic Caching

Configure intelligent LLM routing across OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, Google Gemini, Mistral, and self-hosted models (Ollama, vLLM, llama.cpp). Provider fallback chains with automatic retry on rate-limit or model unavailability. Semantic caching to serve repeated prompts from cache — cutting token spend by 30–60% on high-volume workloads. Model tiering: route simple queries to cheaper models, complex reasoning to frontier models.

MCP Server Deployment & Gateway Integration

Deploy and operate MCP servers that expose your internal tools — databases, REST APIs, SaaS integrations, file systems — to AI agents via the Model Context Protocol. Secure MCP-over-HTTP endpoints behind your API gateway with tool-level OAuth 2.0 / API key auth, per-tool rate limiting, and full request/response logging. Tool registry for agent discovery. Compatible with Claude Desktop, Cursor, Copilot Studio, and any MCP-capable agent runtime.

Token Budget Enforcement & AI Spend Attribution

Enforce hard token budgets per team, product, environment, and agent workflow — at the gateway layer, before runaway agentic loops drain your AI spend. Virtual key management (LiteLLM / Kong) for per-consumer spend isolation. Real-time token consumption dashboards with Prometheus + Grafana. Cost attribution feeds directly into your FinOps practice — AI spend broken down by model, team, and use case.

Prompt Injection Defence & AI Guardrails

Implement prompt injection detection and content filtering at the gateway layer — before malicious inputs reach your LLM. Kong AI Prompt Guard, Bedrock Guardrails, Azure Content Safety, and open-source alternatives (Rebuff, LLM Guard) deployed as gateway middleware. Input/output schema validation, PII redaction, and jailbreak pattern matching — all auditable and policy-as-code managed.

Zero-Trust Auth, mTLS & OPA Policy Engine

JWT validation, OAuth 2.0 / OIDC flows, API key lifecycle management, and mutual TLS across your entire API and MCP surface. Zero-trust network policies enforced at the gateway — on Kong, Envoy, AWS API GW, or Azure APIM. OPA (Open Policy Agent) for fine-grained, policy-as-code access control. SPIFFE/SPIRE for workload identity in K8s-native deployments.

GitOps-Managed Gateway Config & SRE Operations

All gateway config — routes, plugins, policies, MCP tool definitions — managed as code via Flux or ArgoCD. Zero-downtime rollouts, canary deployments, and multi-environment promotion pipelines. 24/7 managed operations: certificate rotation, plugin updates, upstream health monitoring, incident response. Sub-15-minute response SLA for gateway incidents. We own the on-call rotation so your team doesn't have to.

Is your API gateway ready for Agentic AI traffic?

Book a no-obligation architecture review. We'll assess your current gateway stack, identify gaps in LLM routing, MCP server security, and token budget enforcement — and recommend the right platform for your workload.

Book a Gateway Review