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Add a new remote provider that integrates MLflow's Prompt Registry with Llama Stack's prompts API, enabling centralized prompt management and versioning using MLflow as the backend. Features: - Full implementation of Llama Stack Prompts protocol - Support for prompt versioning and default version management - Automatic variable extraction from Jinja2-style templates - MLflow tag-based metadata for efficient prompt filtering - Flexible authentication (config, environment variables, per-request) - Bidirectional ID mapping (pmpt_<hex> ↔ llama_prompt_<hex>) - Comprehensive error handling and validation Implementation: - Remote provider: src/llama_stack/providers/remote/prompts/mlflow/ - Inline reference provider: src/llama_stack/providers/inline/prompts/reference/ - MLflow 3.4+ required for Prompt Registry API support - Deterministic ID mapping ensures consistency across conversions Testing: - 15 comprehensive unit tests (config validation, ID mapping) - 18 end-to-end integration tests (full CRUD workflows) - GitHub Actions workflow for automated CI testing with MLflow server - Integration test fixtures with automatic server setup Documentation: - Complete provider configuration reference - Setup and usage examples with code samples - Authentication options and security best practices Signed-off-by: William Caban <william.caban@gmail.com> Co-Authored-By: Claude <noreply@anthropic.com> |
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| .. | ||
| cli | ||
| conversations | ||
| core | ||
| distribution | ||
| files | ||
| models | ||
| prompts/prompts | ||
| providers | ||
| rag | ||
| registry | ||
| server | ||
| tools | ||
| utils | ||
| __init__.py | ||
| conftest.py | ||
| fixtures.py | ||
| 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
uvif 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=autofor 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_VERSIONenvironment 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