Files
llama.cpp/tools/server/tests
Pascal 2e7e638523 server : support multiple model aliases via comma-separated --alias (#19926)
* server : support multiple model aliases via comma-separated --alias

* server : update --alias description and regenerate docs

* server : multiple model aliases and tags

- address review feedback from ngxson
- --alias accepts comma-separated values (std::set, no duplicates)
- --tags for informational metadata (not used for routing)
- aliases resolve transparently in router via get_meta/has_model
- /v1/models exposes aliases and tags fields

* regenerate docs

* nits

* server : use first alias as model_name for backward compat

address review feedback from ngxson

* server : add single-model test for aliases and tags
2026-02-27 07:05:23 +01:00
..

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
cmake --build build --target llama-server
  1. 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
LLAMA_CACHE by default server tests re-download models to the tmp subfolder. Set this to your cache (e.g. $HOME/Library/Caches/llama.cpp on Mac or $HOME/.cache/llama.cpp on Unix) to avoid this

To run slow tests (will download many models, make sure to set LLAMA_CACHE if needed):

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 all the tests in a file:

./tests.sh unit/test_chat_completion.py -v -x

To run a single test:

./tests.sh unit/test_chat_completion.py::test_invalid_chat_completion_req

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

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

To see all available arguments, please refer to pytest documentation

Debugging external llama-server

It can sometimes be useful to run the server in a debugger when invesigating test failures. To do this, the environment variable DEBUG_EXTERNAL=1 can be set which will cause the test to skip starting a llama-server itself. Instead, the server can be started in a debugger.

Example using gdb:

$ gdb --args ../../../build/bin/llama-server \
    --host 127.0.0.1 --port 8080 \
    --temp 0.8 --seed 42 \
    --hf-repo ggml-org/models --hf-file tinyllamas/stories260K.gguf \
    --batch-size 32 --no-slots --alias tinyllama-2 --ctx-size 512 \
    --parallel 2 --n-predict 64

And a break point can be set in before running:

(gdb) br server.cpp:4604
(gdb) r
main: server is listening on http://127.0.0.1:8080 - starting the main loop
srv  update_slots: all slots are idle

And then the test in question can be run in another terminal:

(venv) $ env DEBUG_EXTERNAL=1 ./tests.sh unit/test_chat_completion.py -v -x

And this should trigger the breakpoint and allow inspection of the server state in the debugger terminal.