llama-stack-mirror/tests/unit
Derek Higgins c9dfd26385 fix(auth): allow unauthenticated access to health and version endpoints
The AuthenticationMiddleware was blocking all requests without an
Authorization header, including health and version endpoints that are
needed by monitoring tools, load balancers, and Kubernetes probes.

This commit adds a `require_authentication` parameter to the @webmethod
decorator (defaults to True). Endpoints can opt out of authentication by
setting `require_authentication=False`. The /health and /version endpoints
now use this parameter to allow unauthenticated access.

Changes:
- Add `require_authentication` field to WebMethod dataclass
- Update @webmethod decorator to accept `require_authentication` parameter
- Mark /health and /version endpoints with `require_authentication=False`
- Update middleware to check webmethod.require_authentication dynamically

Closes: #3735

Signed-off-by: Derek Higgins <derekh@redhat.com>
2025-10-09 20:14:34 +01:00
..
cli chore(rename): move llama_stack.distribution to llama_stack.core (#2975) 2025-07-30 23:30:53 -07:00
conversations feat: Add OpenAI Conversations API (#3429) 2025-10-03 08:47:18 -07:00
distribution fix: improve model availability checks: Allows use of unavailable models on startup (#3717) 2025-10-07 14:27:24 -04:00
files chore(files tests): update files integration tests and fix inline::localfs (#3195) 2025-08-20 14:22:40 -04:00
models feat(tools)!: substantial clean up of "Tool" related datatypes (#3627) 2025-10-02 15:12:03 -07:00
prompts/prompts feat: Adding OpenAI Prompts API (#3319) 2025-09-08 11:05:13 -04:00
providers fix: Update watsonx.ai provider to use LiteLLM mixin and list all models (#3674) 2025-10-08 07:29:43 -04:00
rag fix: pre-commit issues: non executable shebang file and removal of @pytest.mark.asyncio decorator (#3397) 2025-09-10 15:27:35 +02:00
registry fix: Raising an error message to the user when registering an existing provider. (#3624) 2025-10-08 12:09:23 +02:00
server fix(auth): allow unauthenticated access to health and version endpoints 2025-10-09 20:14:34 +01:00
tools feat(tools)!: substantial clean up of "Tool" related datatypes (#3627) 2025-10-02 15:12:03 -07:00
utils feat: Add OpenAI Conversations API (#3429) 2025-10-03 08:47:18 -07:00
__init__.py chore: Add fixtures to conftest.py (#2067) 2025-05-06 13:57:48 +02:00
conftest.py chore: block network access from unit tests (#2732) 2025-07-12 16:53:54 -07:00
fixtures.py chore(rename): move llama_stack.distribution to llama_stack.core (#2975) 2025-07-30 23:30:53 -07:00
README.md test: Measure and track code coverage (#2636) 2025-07-18 18:08:36 +02:00

Llama Stack Unit Tests

Unit Tests

Unit tests verify individual components and functions in isolation. They are fast, reliable, and don't require external services.

Prerequisites

  1. Python Environment: Ensure you have Python 3.12+ installed
  2. uv Package Manager: Install uv if not already installed

You can run the unit tests by running:

./scripts/unit-tests.sh [PYTEST_ARGS]

Any additional arguments are passed to pytest. For example, you can specify a test directory, a specific test file, or any pytest flags (e.g., -vvv for verbosity). If no test directory is specified, it defaults to "tests/unit", e.g:

./scripts/unit-tests.sh tests/unit/registry/test_registry.py -vvv

If you'd like to run for a non-default version of Python (currently 3.12), pass PYTHON_VERSION variable as follows:

source .venv/bin/activate
PYTHON_VERSION=3.13 ./scripts/unit-tests.sh

Test Configuration

  • Test Discovery: Tests are automatically discovered in the tests/unit/ directory
  • Async Support: Tests use --asyncio-mode=auto for automatic async test handling
  • Coverage: Tests generate coverage reports in htmlcov/ directory
  • Python Version: Defaults to Python 3.12, but can be overridden with PYTHON_VERSION environment variable

Coverage Reports

After running tests, you can view coverage reports:

# Open HTML coverage report in browser
open htmlcov/index.html  # macOS
xdg-open htmlcov/index.html  # Linux
start htmlcov/index.html  # Windows