agentgateway - 2026 Pricing, Features, Reviews & Alternatives

Agentgateway is an AI-native gateway software built in Rust that centralizes management of large language model traffic, protocol-based tool access, and inference workloads for enterprise-scale AI deployments. It provides a unified control point for traffic routing, security enforcement, and system observability tailored to agentic AI structures. The software is an open source project under Apache two point zero licensing and is hosted by the Linux Foundation with support from Microsoft, T-Mobile, Dell, CoreWeave, and Akamai.

As an LLM gateway, Agentgateway offers a provider-agnostic endpoint compatible with OpenAI operations for seamless access to commercial and self-hosted language models. Integration with enterprise identity and access management systems consolidates credential control and applies granular role-based permissions. Inline guardrails enforce custom semantic constraints on incoming prompts and outgoing responses to mitigate injection risks and prevent data exfiltration. Request and token-based rate limits regulate consumption to maintain predictable operational cost profiles. An OpenTelemetry-based observability layer captures real-time logs, consumption metrics, and end-to-end traces with token-level granularity and cost attribution.

In Model Context Protocol and agent-to-agent environments, Agentgateway secures dynamic tool requests by validating and sandboxing backend interactions from MCP servers. Comprehensive audit trails record every tool invocation and agent exchange to support compliance and forensic analysis. RESTful API specifications can be imported to expose existing services as MCP tools without code modifications while enforcing consistent policies for quotas, rate limits, and access controls across all servers from a central control plane. Meanwhile, inference routing capabilities apply context-aware decision logic to direct workload flows to fine-tuned or general-purpose models based on request metadata. Traffic scheduling policies ensure that mission-critical requests receive priority treatment under capacity constraints. Real-time inference insights inform routing adjustments to enhance response times and time-to-first-token. GPU resources are optimized through routing into inference pools that separate prefill processing and decode operations to maximize utilization.

The Rust-based architecture removes runtime garbage collection and interpretation overhead to achieve orders-of-magnitude reduction in memory consumption, significant throughput gains at high request volumes, and submillisecond latency per transaction. Built-in protocol support includes Model Context Protocol OAuth two point one authentication, tool-level role-based access control, secure token exchange flows, and cryptographic audit logging for agent-centric security models. The observability framework extends OpenTelemetry with full-stack traces across agent-tool-model chains and delivers built-in metrics for token usage, initial response latency, and tool performance. As a standalone binary without external dependencies, Agentgateway integrates via a single API endpoint and serves as a drop-in substitute for existing model access implementations.