mirror of https://github.com/meta-llama/llama-stack.git synced 2025-10-16 14:57:20 +00:00

History

Ashwin Bharambe e9b4278a51 feat(responses)!: improve responses + conversations implementations (#3810 ) This PR updates the Conversation item related types and improves a couple critical parts of the implemenation: - it creates a streaming output item for the final assistant message output by the model. until now we only added content parts and included that message in the final response. - rewrites the conversation update code completely to account for items other than messages (tool calls, outputs, etc.) ## Test Plan Used the test script from https://github.com/llamastack/llama-stack-client-python/pull/281 for this ``` TEST_API_BASE_URL=http://localhost:8321/v1 \ pytest tests/integration/test_agent_turn_step_events.py::test_client_side_function_tool -xvs ```		2025-10-15 09:36:11 -07:00
..
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
core	feat: Enable setting a default embedding model in the stack (#3803 )	2025-10-14 18:25:13 -07:00
distribution	chore!: BREAKING CHANGE removing VectorDB APIs (#3774 )	2025-10-11 14:07:08 -07:00
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	feat(responses)!: improve responses + conversations implementations (#3810 )	2025-10-15 09:36:11 -07:00
rag	feat(api)!: support extra_body to embeddings and vector_stores APIs (#3794 )	2025-10-12 19:01:52 -07:00
registry	refactor: replace default all-MiniLM-L6-v2 embedding model by nomic-embed-text-v1.5 in Llama Stack (#3183 )	2025-10-14 10:44:20 -04:00
server	fix: replace python-jose with PyJWT for JWT handling (#3756 )	2025-10-14 09:35:48 +02:00
tools	feat(tools)!: substantial clean up of "Tool" related datatypes (#3627 )	2025-10-02 15:12:03 -07:00
utils	feat: Allow :memory: for kvstore (#3696 )	2025-10-13 11:19:27 +02:00
__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

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