Eden AI vs Envoy AI Gateway

Eden AI provides a unified API for accessing AI models from multiple providers, with more than 500 models listed on its homepage. Providers named include OpenAI, Mistral, Gemini, and Claude. Its specialized capabilities include OCR, speech, vision, and translation, among other tasks. Teams can compare providers by price, performance, and processing region; automatic fallback can respond when a provider fails or reaches its limits. Integrations listed include LangChain, Haystack, n8n, Make, Zapier, Bubble, and the OpenAI Python and TypeScript/JavaScript SDKs. Eden AI says it is SOC 2 and ISO 27001 certified and offers zero data retention by default. Its DPA says prompts and outputs are processed transiently, not stored by default, and customer data is not used to train models or sold. A dedicated EU endpoint is available for eligible workloads, depending on compatible providers and models. The AI API Gateway has no subscription, but API calls are billed at provider prices; a 5.5% platform fee applies when purchasing credits. The self-serve plan includes chat support with a 48-hour response time on working days. Advanced AI Platform pricing is custom and requires contacting sales. Eden AI was founded in 2021 and is headquartered in Lyon, France.

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.