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llama-stack-mirror/tests/unit
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Ashwin Bharambe 0e96279bee
chore(cleanup)!: remove tool_runtime.rag_tool (#3871) 
Kill the `builtin::rag` tool group completely since it is no longer
targeted. We use the Responses implementation for knowledge_search which
uses the `openai_vector_stores` pathway.

---------

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2025-10-20 22:26:21 -07:00
..
cli feat(stores)!: use backend storage references instead of configs (#3697) 2025-10-20 13:20:09 -07:00
conversations feat(stores)!: use backend storage references instead of configs (#3697) 2025-10-20 13:20:09 -07:00
core chore(cleanup)!: kill vector_db references as far as possible (#3864) 2025-10-20 20:06:16 -07:00
distribution chore: remove build.py (#3869) 2025-10-20 16:28:15 -07:00
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(stores)!: use backend storage references instead of configs (#3697) 2025-10-20 13:20:09 -07:00
providers chore(cleanup)!: remove tool_runtime.rag_tool (#3871) 2025-10-20 22:26:21 -07:00
rag chore(cleanup)!: remove tool_runtime.rag_tool (#3871) 2025-10-20 22:26:21 -07:00
registry chore(cleanup)!: kill vector_db references as far as possible (#3864) 2025-10-20 20:06:16 -07:00
server chore(cleanup)!: kill vector_db references as far as possible (#3864) 2025-10-20 20:06:16 -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 fix(tests): reduce some test noise (#3825) 2025-10-16 09:52:16 -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

  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