llama.cpp/examples/server/tests

Server tests

Python based server tests scenario using pytest.

Tests target GitHub workflows job runners with 4 vCPU.

Note: If the host architecture inference speed is faster than GitHub runners one, parallel scenario may randomly fail. To mitigate it, you can increase values in n_predict, kv_size.

Install dependencies

pip install -r requirements.txt

Run tests

1. Build the server

cd ../../..
cmake -B build -DLLAMA_CURL=ON
cmake --build build --target llama-server

2. Start the test: ./tests.sh

It's possible to override some scenario steps values with environment variables:

variable	description
PORT	context.server_port to set the listening port of the server during scenario, default: 8080
LLAMA_SERVER_BIN_PATH	to change the server binary path, default: ../../../build/bin/llama-server
DEBUG	to enable steps and server verbose mode --verbose
N_GPU_LAYERS	number of model layers to offload to VRAM -ngl --n-gpu-layers

To run slow tests:

SLOW_TESTS=1 ./tests.sh

To run with stdout/stderr display in real time (verbose output, but useful for debugging):

DEBUG=1 ./tests.sh -s -v -x

To run single test unit:

./tests.sh unit/test_{name of test case here}.py -v -x

Hint: You can compile and run test in single command, useful for local developement:

cmake --build build -j --target llama-server && ./examples/server/tests/tests.sh

To see all available arguments, please refer to pytest documentation