Envoy AI Gateway vs Requesty
Envoy AI Gateway
aigateway.envoyproxy.ioRequesty
requesty.aiSide by side
| Figure | Envoy AI Gateway | Requesty |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 3 |
| Spec score · LLM Gateway Software | 8.4 (#8) | 8.3 (#10) |
| Spec score · LLM gateways | 8.4 (#10) | 8.5 (#8) |
| Spec score · Byok System | 8.4 (#8) | 8.2 (#13) |
| Observability | The CLI supports OpenTelemetry tracing and can record request and response details; the documentation describes configuration to hide input and output content. | Requesty offers real-time cost tracking and analytics by model, user and team, plus latency and usage monitoring. |
| Security | The project describes upstream authentication for securing connections to AI services and says provider credentials can be kept out of application workloads. | The security page states that traffic is encrypted with TLS 1.2 or higher and data at rest with AES-256. |
| Support | The project directs users to its community Discord and GitHub issues for help. | The pricing page lists email support for Pay as you go and dedicated support with custom SLAs for Enterprise. |
Plans
In their own words
Envoy AI Gateway
Envoy AI Gateway, now named Agent Router, is an open-source control plane for managing AI and agent traffic through Envoy. It provides an OpenAI-compatible API for hosted and self-hosted models and MCP servers, with integrations for providers including OpenAI, Azure OpenAI, Google Gemini, AWS Bedrock, Mistral, and Anthropic. Traffic controls include model virtualization, provider failover, token quotas, and usage-based rate limiting. Its MCP gateway supports server multiplexing, tool routing, OAuth authentication, and observability; InferencePool support adds routing and load balancing for inference endpoints. Credentials can be managed centrally, and supported short-lived credential flows include AWS Bedrock, Azure OpenAI, and GCP Vertex AI. The project describes metrics collection and monitoring for AI workloads. The free open-source project is listed at free. Its CLI supports local use on Linux and macOS; production Kubernetes deployment uses Envoy Gateway and requires compatible dependencies. The project uses the Apache 2.0 license and points users to Discord and GitHub issues for help.
Requesty
Requesty is a managed AI gateway that gives applications access to more than 600 models through one API. Its OpenAI-compatible API can work with existing SDK code after changing the base URL and API key. Routing features include policy and regional rules, automatic failover and load balancing. Requesty tracks cost, latency and usage, with analytics by model, user and team. Governance options include PII detection and scrubbing, content guardrails, team roles, model allowlists and audit logs. Named integrations include OpenAI, LangChain, PydanticAI, Vercel AI SDK, Haystack and LlamaIndex TS; the integrations page also lists tools such as Claude Code, Cline, VS Code, GitHub Copilot, Codex, n8n, LibreChat and OpenWebUI. The Free plan costs nothing and allows 200 requests per day. Pay as you go costs $5 a month, with a 5% markup on model cost. Enterprise pricing is custom. Requesty is available via API and web; self-hosting is not offered.