Product Introduction
- Bifrost is an open-source LLM gateway designed to streamline interactions with 1,000+ AI models through a unified API interface, offering high throughput and low latency for enterprise-scale AI applications.
- Its core value lies in combining extreme performance (40x faster than LiteLLM) with integrated governance, dynamic plugin architecture, and seamless integration with Maxim for end-to-end AI observability and evaluation.
Main Features
- Bifrost provides a unified API interface supporting OpenAI, Anthropic, Google GenAI, and custom models, enabling code compatibility across providers with a single line change to existing SDKs like LangChain or LiteLLM.
- The gateway includes automatic provider fallback mechanisms to ensure 99.99% uptime by dynamically rerouting requests during outages or performance degradation.
- Built-in OpenTelemetry integration and a dashboard deliver out-of-the-box observability for monitoring latency, success rates, and costs without complex setup.
Problems Solved
- Bifrost eliminates the complexity of managing multiple LLM providers, API keys, and inconsistent SDKs by centralizing access to 1,000+ models through a single endpoint.
- It targets engineering teams and enterprises building production AI applications that require reliability, cost control, and compliance with security policies.
- Typical use cases include deploying multi-provider AI stacks with automated failover, enforcing budget limits across teams, and auditing model usage for regulated industries.
Unique Advantages
- Bifrost outperforms alternatives like LiteLLM with 40x higher throughput (4,999 RPS vs. 44 RPS), 68% lower memory usage (120MB vs. 372MB), and 54x faster P99 latency (1.68s vs. 90.72s) under identical loads.
- Its dynamic plugin architecture allows runtime integration of MCP servers for extending AI capabilities with databases, security checks, and custom logic without service restarts.
- Competitive differentiators include zero-downtime key rotation, virtual key management for secure credential handling, and granular cost tracking per project/model/provider.
Frequently Asked Questions (FAQ)
- How does Bifrost integrate with existing AI SDKs? Bifrost acts as a drop-in replacement requiring only a base URL change to existing OpenAI, Anthropic, or LangChain clients, preserving full SDK functionality while routing requests through the gateway.
- What makes Bifrost faster than LiteLLM? Benchmarks show Bifrost processes 5,000 RPS with 10μs added latency on a single t3.xlarge instance due to optimized JSON marshaling (26μs), efficient memory usage (3.34GB peak), and concurrent request parsing (2ms/response).
- How does Bifrost handle API key security? Virtual keys decouple provider credentials from application code, enabling automated rotation via RBAC policies and audit logs without disrupting live services.
- Can Bifrost connect to MCP servers? Yes, it establishes centralized MCP connections for cross-team resource governance, including auth protocols, budget enforcement, and security rule validation before model execution.
- Is Bifrost truly open-source? Bifrost is licensed under Apache 2.0, with full source code available on GitHub, including plugins for load testing (
bifrost benchmark --rps 5000
) and performance monitoring.