The best open source alternative to Eden AI is LiteLLM. If that doesn't suit you, we've compiled a ranked list of other open source Eden AI alternatives to help you find a suitable replacement. Other interesting open source alternatives to Eden AI are: Langfuse, Portkey AI Gateway, Arize Phoenix, and ACI.dev.
Eden AI alternatives are mainly AI Gateways but may also be AI Integration Platforms or LLM Application Frameworks. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Eden AI.
Manage authentication, load balancing, and cost tracking across 100+ LLMs through a single OpenAI-compatible gateway. Trusted by Netflix and enterprise teams.

A comprehensive LLM gateway that simplifies access to over 100 language models including OpenAI, Azure, Anthropic, Gemini, and Bedrock through a unified OpenAI-compatible interface.
Key capabilities include:
Trusted by industry leaders like Netflix, Lemonade, and RocketMoney who use it to provide developers with Day 0 LLM access while maintaining cost control and operational efficiency. The platform has served over 1 billion requests with 80% uptime and is backed by 425+ contributors.
Perfect for platform teams who need to democratize LLM access across their organization while maintaining governance, cost visibility, and reliability. Available as both open source and enterprise solutions with custom SLAs and dedicated support.
Looking for open source alternatives to other popular services? Check out other posts in the alternatives series and openalternative.co, a directory of open source software with filters for tags and alternatives for easy browsing and discovery.
Langfuse provides tracing, evaluations, prompt management, and analytics to debug and improve LLM applications.

Langfuse is an open source LLM engineering platform designed to help teams build, debug, and improve AI-powered applications. With its comprehensive suite of tools, Langfuse empowers developers to gain deep insights into their LLM applications and optimize performance.
Key features of Langfuse include:
Tracing: Capture detailed production traces to quickly identify and resolve issues in your LLM applications. Visualize the entire request flow and pinpoint bottlenecks.
Evaluations: Collect user feedback, annotate data, and run custom evaluation functions to assess the quality and performance of your AI models.
Prompt Management: Collaboratively version and deploy prompts, with low-latency retrieval for production use. Streamline your prompt engineering workflow.
Analytics: Track key metrics like cost, latency, and quality to optimize your LLM application's performance and efficiency.
Playground: Test different prompts and models directly within the Langfuse UI, enabling rapid experimentation and iteration.
Datasets: Derive high-quality datasets from production data to fine-tune models and thoroughly test your LLM applications.
Langfuse integrates seamlessly with popular LLM frameworks and libraries, including LangChain, LlamaIndex, and OpenAI. It offers SDKs for Python and JavaScript/TypeScript, making it easy to incorporate into your existing workflow.
Built for teams of all sizes, Langfuse can be self-hosted or used as a cloud service. It's designed with enterprise-grade security in mind, offering SOC 2 Type II and ISO 27001 certifications for the cloud version.
By providing a comprehensive toolkit for LLM engineering, Langfuse helps teams build more reliable, efficient, and high-quality AI applications. Whether you're just starting with LLMs or scaling a complex AI system, Langfuse offers the observability and tools needed to succeed in the rapidly evolving field of AI engineering.
Comprehensive AI platform with gateway, observability, guardrails, and prompt management. Access 1,600+ LLMs via unified API with enterprise-grade security.

Portkey provides a comprehensive production stack that equips AI teams with everything needed to deploy and scale generative AI applications. The platform combines AI Gateway, Observability, Guardrails, Governance, and Prompt Management in a single, integrated solution.
Key Features:
Production Benefits:
Trusted by 3,000+ AI teams and processing billions of tokens daily, Portkey serves both Fortune 500 companies and startups. The platform includes Model Context Protocol support for advanced agent workflows and offers seamless collaboration tools with role-based access control.
Open-source platform for LLM tracing, evaluation, and optimization. Features automatic instrumentation, prompt playground, and real-time AI application monitoring.

Open-source LLM tracing and evaluation platform designed for AI teams who need complete visibility into their applications. Built on OpenTelemetry standards, this platform offers vendor-agnostic monitoring without lock-in restrictions.
Key capabilities include:
The platform has gained significant traction with 2.5M+ monthly downloads, 8k+ GitHub stars, and adoption by top AI teams. Users praise its ability to identify root causes of problematic responses, debug LLM workflows, and integrate observability directly into development processes.
Completely self-hostable with no feature restrictions, making it ideal for teams requiring full control over their AI monitoring infrastructure while maintaining transparency in model decision-making.
Platform for connecting AI agents to 500+ tools with built-in multi-tenant auth management and granular permissions using either function calling or a unified MCP server

ACI.dev is a powerful platform that enables developers to build production-ready AI agents with seamless tool integrations. The platform provides 500+ pre-built integrations with essential tools like Gmail, Hubspot, Notion, and Slack through either function calling or a unified MCP server connection.
Key capabilities include:
The platform handles all the complexity of token management, OAuth setup, and permissions, allowing developers to focus on building reliable AI agents that can interact with various tools and services securely.
Open-source AI gateway delivering 50x faster performance than alternatives. Access 1000+ models from 8+ providers with built-in governance, fallback, and observability.

Ultra-high performance AI gateway built for enterprise-scale applications. With just 20 microseconds added latency and 5,000 requests per second throughput, it delivers exceptional speed while maintaining enterprise-grade reliability.
Key performance advantages:
Comprehensive model access to over 1000+ AI models from 8+ providers including OpenAI, Anthropic, Google, and custom deployments through a unified interface. Drop-in replacement requiring just one line of code change - compatible with existing OpenAI, Anthropic, LiteLLM, LangChain, and Vercel AI SDK implementations.
Enterprise-ready features include virtual key management with independent budgets, real-time guardrails for model protection, built-in MCP gateway for tool management, and comprehensive governance with SSO integration. Built-in observability with OpenTelemetry support and dashboard for monitoring without complex setup.
Open-source with Apache 2.0 license, active Discord community support, and 14-day free enterprise trial available.
Looking for open source alternatives to other popular services? Check out other posts in the alternatives series and openalternative.co, a directory of open source software with filters for tags and alternatives for easy browsing and discovery.
Open source gateway built on Envoy for routing application traffic to GenAI services. Supports 16+ LLM providers including OpenAI, Anthropic, AWS Bedrock.

Envoy AI Gateway is a community-driven open source project that leverages the power of Envoy Gateway to intelligently route and manage request traffic between application clients and GenAI services. Built collaboratively by the open source community, this solution addresses the growing need for reliable GenAI traffic handling.
Key Features:
The project offers seamless integration with major AI providers like Cohere, DeepInfra, Groq, Mistral, SambaNova, and Vertex AI, making it easy to switch between providers or implement multi-provider strategies. With its latest v0.4 release, the gateway continues to expand capabilities and provider integrations.
Join the growing community through Slack, GitHub discussions, and weekly community meetings to contribute to this essential piece of GenAI infrastructure.
Route, manage, and analyze LLM requests across multiple providers with one API. Compatible with OpenAI format, includes usage analytics and performance monitoring.

Route, manage, and analyze your LLM requests across multiple providers with a unified API interface that's compatible with the OpenAI API format for seamless migration.
Key Features:
Simple Integration - Just change your API endpoint and keep your existing code. Works with any language or framework including Python, TypeScript, Java, Rust, Go, PHP, and Ruby.
Flexible Pricing:
Perfect for developers and organizations looking to optimize their AI infrastructure while maintaining flexibility and control over costs.