Bifrost LLM Gateway: 11 Microsecond Overhead, Single Binary in Go

What Bifrost Is
Bifrost is a drop-in LLM proxy written in Go specifically for self-hosted environments. It routes requests to OpenAI, Anthropic, Azure, Bedrock, and other providers while handling failover, caching, and budget controls.
Performance Benchmarks
The developer benchmarked at 5,000 requests per second sustained:
- Bifrost (Go): ~11 microseconds overhead per request
- LiteLLM (Python): ~8 milliseconds overhead per request
That's roughly a 700x difference in overhead.
Memory Usage Comparison
At the same throughput:
- Bifrost: ~50MB RAM baseline, stays flat under load
- LiteLLM: ~300-400MB baseline, spikes to 800MB+ under heavy traffic
The developer notes that running LiteLLM at 2k+ RPS requires horizontal scaling and serious instance sizes, while Bifrost handles 5k RPS on a $20/month VPS.
Stability Under Load
Bifrost performance stays constant under load with the same latency at 100 RPS or 5,000 RPS. In contrast, LiteLLM gets unpredictable when traffic spikes - latency variance increases, memory spikes, and GC pauses hit at the worst times.
Unique Features
Bifrost includes an MCP gateway that connects 10+ MCP tool servers, handles discovery, namespacing, health checks, and tool filtering per request. LiteLLM doesn't do MCP.
Deployment and Migration
Deployment is a single binary with no Python virtualenvs, no dependency hell, and no Docker required. You copy it to the server and run it.
For migration, the API is OpenAI-compatible. You change the base URL and keep existing code, with most migrations taking under an hour.
Open Source Availability
The project is open source and available at github.com/maximhq/bifrost.
📖 Read the full source: r/clawdbot
👀 See Also

AI Chat Exporter: A Chrome Extension for High-Fidelity Claude Conversation PDFs
A developer built AI Chat Exporter, a Chrome extension that preserves math, code, and images when exporting Claude conversations to PDF. The tool uses a local browser-based rendering engine developed with Claude 3.5 Sonnet to handle progressive markdown and LaTeX formatting.

Spectyra Plugin for OpenClaw: Real-Time AI Cost Optimization by Analyzing Full Request Flow
Spectyra plugin reduces AI API costs by surfacing hidden waste like repeated calls, excessive context, and expensive model misuse in real time.

Unlocking Proactivity: A Deep Dive into Clawbot Innovations from the Community
Discover how enthusiasts are enhancing their Clawbot's proactivity through inventive strategies and community-driven insights. A look at discussions and revelations from r/openclaw.

Gemma-4 26B-A4B with Opencode Runs Efficiently on M5 MacBook Air
A 32GB M5 MacBook Air can run the Gemma-4-26B-A4B-it-UD-IQ4_XS model at 300 tokens/second prompt processing and 12 tokens/second generation in low power mode, using only 8W of power without getting warm or noisy.