f5cd27b71d
* add common_json w/ support for truncated json healing * add common_chat_msg_diff * partial common_chat_parse * refactor parser w/ optionals * server: wire chat diffs in stream mode * fix trigger of thinking models (must happen after thoughts are closed) * fix functionary v3.2 raw python! * rename: common_chat_syntax (now contains format) * rm common_regex.at_start * don't return empty <think></think> * accommodate yet another deepseek r1 distill fantasy syntax (`<｜tool▁calls｜>`) * fix QwQ 32B tool call parsing after thoughts (hermes2) * better logs for grammar triggers * consume spaces after parse_json_tool_calls * fix required tool calls w/ thinking models that have pre-opened thinking tags * fix thinking model's initial trigger + test qwq's template * run most test_tool_call tests in stream + non-stream modes * make functionary v3.2 parsing more strict (differentiate first match from others) * send final diff from server, to close off raw python arguments * support partial content streaming in Generic mode * tool-call: allow content prelude before hermes2 tool calls (for Qwen2.5) * Update function-calling.md * Update tool_bench.py * chat-parser: remove input from exception (llm output may contain PII) --------- Co-authored-by: ochafik <ochafik@google.com> Co-authored-by: Olivier Chafik <ochafik@users.noreply.github.com> |
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|---|---|---|
| .. | ||
| unit | ||
| .gitignore | ||
| conftest.py | ||
| pytest.ini | ||
| README.md | ||
| requirements.txt | ||
| tests.sh | ||
| utils.py | ||
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
- Build the server
cd ../../..
cmake -B build
cmake --build build --target llama-server
- 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