mirror of https://github.com/meta-llama/llama-stack.git synced 2025-12-03 09:53:45 +00:00

History

Charlie Doern 43adc23ef6 refactor: remove dead inference API code and clean up imports (#4093 ) # What does this PR do? Delete ~2,000 lines of dead code from the old bespoke inference API that was replaced by OpenAI-only API. This includes removing unused type conversion functions, dead provider methods, and event_logger.py. Clean up imports across the codebase to remove references to deleted types. This eliminates unnecessary code and dependencies, helping isolate the API package as a self-contained module. This is the last interdependency between the .api package and "exterior" packages, meaning that now every other package in llama stack imports the API, not the other way around. ## Test Plan this is a structural change, no tests needed. --------- Signed-off-by: Charlie Doern <cdoern@redhat.com>		2025-11-10 15:29:24 -08:00
..
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	fix: show built-in distributions in llama stack list (#4040 )	2025-11-05 10:16:28 -08:00
files	feat(stores)!: use backend storage references instead of configs (#3697 )	2025-10-20 13:20:09 -07:00
models	refactor: remove dead inference API code and clean up imports (#4093 )	2025-11-10 15:29:24 -08:00
prompts/prompts	feat(prompts): attach prompts to storage stores in run configs (#3893 )	2025-10-27 11:12:12 -07:00
providers	refactor: remove dead inference API code and clean up imports (#4093 )	2025-11-10 15:29:24 -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

README.md

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

Python Environment: Ensure you have Python 3.12+ installed
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