TrueFoundry vs Bifrost: Performance Benchmark on Agentic Workloads

Raw gateway latency is easy to benchmark. You spin up a load test, fire 5,000 requests per second at an endpoint, and report the overhead number. Bifrost does this very well — 11µs of added overhead at 5K RPS is a genuinely impressive number and a reflection of building in Go rather than Python. But agentic workloads don't look like 5,000 identical chat completions in a tight loop. They look like this: an agent receives a task, decides which tool to call, invokes an MCP server, gets a result, calls a different LLM with that result as context, hits a rate limit, retries with exponential backoff on a fallback model, generates a response, and logs the entire chain for debugging. That sequence involves 4–8 distinct gateway operations per user-facing request, crosses provider and tool boundaries, and fails in entirely different ways than a simple proxy failure. When you benchmark AI gateways against agentic workloads — not synthetic throughput tests — the performance dimensions that matter