llama-stack-mirror/tests/unit
Sébastien Han fd1603beef
chore: remove unused classes (#4077)
# What does this PR do?

These were maybe be included in the webmethod?
The unit test was pointless too since the request was never used
anywhere?

This shouldn't be in the API definition, if we never consume it.

## Test Plan

CI with pre-commit on OpenAPI spec generation.

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-11-05 16:45:23 +01:00
..
cli fix: generate provider config when using --providers (#4044) 2025-11-03 11:37:58 -08:00
conversations chore: remove unused classes (#4077) 2025-11-05 16:45:23 +01:00
core fix(context): prevent provider data leak between streaming requests (#3924) 2025-10-27 23:01:12 -07:00
distribution feat: add custom_metadata to OpenAIModel to unify /v1/models with /v1/openai/v1/models (#4051) 2025-11-03 15:56:07 -08:00
files feat(stores)!: use backend storage references instead of configs (#3697) 2025-10-20 13:20:09 -07:00
models feat(tools)!: substantial clean up of "Tool" related datatypes (#3627) 2025-10-02 15:12:03 -07:00
prompts/prompts feat(prompts): attach prompts to storage stores in run configs (#3893) 2025-10-27 11:12:12 -07:00
providers chore!: remove the agents (sessions and turns) API (#4055) 2025-11-04 09:38:39 -08:00
rag fix!: remove chunk_id property from Chunk class (#3954) 2025-10-29 18:59:59 -07:00
registry chore(cleanup)!: kill vector_db references as far as possible (#3864) 2025-10-20 20:06:16 -07:00
server test: suppress expected error logs in SSE test (#3886) 2025-10-22 14:34:32 -07:00
tools feat(tools)!: substantial clean up of "Tool" related datatypes (#3627) 2025-10-02 15:12:03 -07:00
utils feat(stores)!: use backend storage references instead of configs (#3697) 2025-10-20 13:20:09 -07:00
__init__.py chore: Add fixtures to conftest.py (#2067) 2025-05-06 13:57:48 +02:00
conftest.py test: suppress expected error logs in SSE test (#3886) 2025-10-22 14:34:32 -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