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Agentgateway

Agentgateway is an AI-native gateway purpose-built for AI and Agent workloads. It unifies model access, routing governance, authentication, security and full-stack observability—so teams cut integration overhead and keep token spend under control.
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AgentgatewayAI gateway KubernetesOpenAI-compatible API gatewaymulti-model aggregationMCP A2A gatewayLLM routing rate limitAI gateway observabilityunified AI model access

Features of Agentgateway

Call any vendor or self-hosted model through a single OpenAI-compatible endpoint
Delivers LLM Gateway, MCP/A2A Gateway and Inference Gateway in one binary
Route, rate-limit and shape traffic by API key, user or custom header
Set budgets and hard caps to track tokens and rein in runtime costs
Secure every call with inline, Secret or passthrough API-key strategies
Guard against unauthorized use, prompt injection and data leakage
OpenTelemetry-native: request-level and token-level traces, metrics and logs
Ships as a Kubernetes-ready container with Prometheus metrics out of the box

Use Cases of Agentgateway

Centralize and switch between multiple LLM vendors from one ingress
Wire MCP/A2A tools into multi-agent workflows without code changes
Front self-hosted inference services with unified access control and routing
Allocate spend by user or product line with budget and rate-limit rules
Debug latency or cost spikes via distributed traces and token counters
Roll out a production-grade AI gateway on Kubernetes with built-in monitoring
Decouple application code from model provider APIs using the OpenAI format

FAQ about Agentgateway

QWhat is Agentgateway?

An AI-native gateway that unifies model and tool access while adding routing, auth, security and observability for AI/Agent workloads.

QWhich gateway flavors does it support?

LLM Gateway for model access, MCP/A2A Gateway for tool coordination, and Inference Gateway for self-hosted routing.

QHow do I onboard new models?

Point your existing OpenAI client at Agentgateway—no code changes; it proxies to any vendor or self-hosted endpoint.

QWhat is the safest way to store API keys?

Kubernetes Secret is recommended; inline and passthrough modes are also available for special cases.

QCan I control spend?

Yes—set daily or monthly token budgets and hard rate limits per key, user or header to stay within budget.

QWhat observability data do I get?

OpenTelemetry traces, token counters, latency histograms and cost dashboards—ready for Grafana or any OTLP backend.

QWho should deploy Agentgateway?

Platform, MLOps or product teams that need one ingress for multiple models/tools/agents with enterprise-grade governance.

QIs there a paid plan or SLA?

Pricing and editions are not listed here; check the official site or contact sales for the latest details.

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