llama.cpp/examples/server/tests

Server tests

Python based server tests scenario using BDD and behave:

• issues.feature Pending issues scenario
• parallel.feature Scenario involving multi slots and concurrent requests
• security.feature Security, CORS and API Key
• server.feature Server base scenario: completion, embedding, tokenization, etc...

Tests target GitHub workflows job runners with 4 vCPU.

Requests are using aiohttp, asyncio based http client.

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 ../../..
   mkdir build
   cd build
   cmake ../
   cmake --build . --target server
   

2. download required models:

   1. ../../../scripts/hf.sh --repo ggml-org/models --file tinyllamas/stories260K.gguf

3. Start the test: ./tests.sh

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

• 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/server
• DEBUG -> "ON" to enable steps and server verbose mode --verbose

Run @bug, @wip or @wrong_usage annotated scenario

Feature or Scenario must be annotated with @llama.cpp to be included in the default scope.

• @bug annotation aims to link a scenario with a GitHub issue.
• @wrong_usage are meant to show user issue that are actually an expected behavior
• @wip to focus on a scenario working in progress

To run a scenario annotated with @bug, start: DEBUG=ON ./tests.sh --no-skipped --tags bug

After changing logic in steps.py, ensure that @bug and @wrong_usage scenario are updated.