Release Notes

Envoy AI Gateway v0.6.0 marks the first production-ready API surface: the core CRDs (AIGatewayRoute, AIServiceBackend, BackendSecurityPolicy, GatewayConfig, MCPRoute) are now served at v1beta1. AWS Bedrock gains a native InvokeModel path for Claude alongside Titan embeddings via the OpenAI /v1/embeddings contract. Gemini gets first-class embeddings and Anthropic-style prefix context caching. Cross-provider clients can hit Anthropic's /v1/messages endpoint on any OpenAI-compatible backend, and a single reasoning_effort knob now works across Anthropic, OpenAI, and Gemini. Operators get GKE Workload Identity via Application Default Credentials, configurable webhook host networking, request/response body redaction for compliance, and the Go 1.26.2 + Envoy 1.37 + Envoy Gateway 1.7 baseline. Two breaking changes land in v0.6 — AIGatewayRoute.spec.filterConfig is removed (move to GatewayConfig), and the deprecated version-as-prefix behavior on VersionedAPISchema is removed (use prefix). See Upgrade Guidance below.

Envoy AI Gateway v0.5.0 makes multi-gateway deployments easier with the new GatewayConfig CRD, cuts costs with prompt caching for AWS Bedrock and GCP Claude, and unlocks fine-grained access control with CEL-based MCP authorization. Developers gain OpenAI Responses API support, Google Search grounding for Gemini, and the ability to mutate request bodies per-route. Under the hood, the switch to sonic JSON processing reduces latency across all requests.

Envoy AI Gateway v0.4.0 is a major release introducing Model Context Protocol (MCP) Gateway with full OAuth and server multiplexing support, OpenAI Image Generation API, first-party Anthropic provider integration, and native Anthropic Messages API support for AWS Bedrock. This release also brings guided output decoding for GCP Vertex AI/Gemini, cross-namespace resource references, enhanced authentication for AWS and Azure, and comprehensive observability improvements across all providers.

Envoy AI Gateway v0.3.0 introduces intelligent inference routing, expanded provider support (including Google Vertex AI and Anthropic), and enhanced observability with OpenInference tracing and configurable metrics. Key features include Endpoint Picker Provider with InferencePool for dynamic load balancing, model name virtualization, and seamless Gateway API Inference Extension integration.

Envoy AI Gateway v0.2.0 builds upon the solid foundation of v0.1.0 with focus on expanding provider ecosystem support, improving reliability and performance through architectural changes, and enterprise-grade authentication support for Azure OpenAI.

🎉 The inaugural release of Envoy AI Gateway! This milestone release establishes the foundation for unified AI service management with support for major LLM providers, comprehensive rate limiting, and Kubernetes-native integration.