# vLLM Mock Engine `vllm-mock-engine` is a small engine-side process for frontend stress testing. It joins a frontend-owned startup handshake, reports a large ready response, treats prefill as instant, and emits random decode tokens until each request reaches its `max_tokens`. The frontend must own the handshake socket. Start the frontend first, then start the mock engine with the same handshake address. ## Start the mock engine ```bash cargo run -p vllm-mock-engine -- \ --handshake-address tcp://127.0.0.1:29550 \ --engine-count 1 \ --output-token-chunk-size 1 \ --vocab-size 32000 \ --seed 0 \ --log-requests ``` Useful knobs: - `--engine-count` must match the frontend's expected data-parallel engine count. - `--output-token-chunk-size` controls how many token IDs appear in one `EngineCoreOutput`; values greater than 1 are useful for MTP/spec-decode shaped frontend tests. - `--vocab-size` should stay within the tokenizer vocabulary of the model used by the frontend. Stop it with Ctrl-C. ## Rust Frontend Terminal 1: ```bash cargo run --bin vllm-rs -- serve Qwen/Qwen3-0.6B \ --data-parallel-size 1 \ --data-parallel-size-local 0 \ --handshake-port 29550 ``` Terminal 2: ```bash cargo run -p vllm-mock-engine -- \ --handshake-address tcp://127.0.0.1:29550 ``` For multiple mock engines, set both sides to the same count: ```bash cargo run --bin vllm-rs -- serve Qwen/Qwen3-0.6B \ --data-parallel-size 4 \ --data-parallel-size-local 0 \ --handshake-port 29550 cargo run -p vllm-mock-engine -- \ --handshake-address tcp://127.0.0.1:29550 \ --engine-count 4 ``` ## Python Frontend Use `vllm serve` with `--data-parallel-size-local 0` so the Python process runs as a frontend/API server and waits for external engines on `--data-parallel-rpc-port`. Terminal 1: ```bash vllm serve Qwen/Qwen3-0.6B \ --data-parallel-address 127.0.0.1 \ --data-parallel-rpc-port 29550 \ --data-parallel-size 1 \ --data-parallel-size-local 0 ``` Terminal 2: ```bash cargo run -p vllm-mock-engine -- \ --handshake-address tcp://127.0.0.1:29550 ``` ## Smoke Request After either frontend is ready: ```bash curl http://127.0.0.1:8000/v1/chat/completions \ -H "Content-Type: application/json" \ -d '{ "model": "Qwen/Qwen3-0.6B", "messages": [{"role": "user", "content": "hello"}], "max_tokens": 16, "stream": true }' ``` Always pass `max_tokens`; the mock engine stops by length.