llama-stack-mirror/llama_stack/core/build.py
Francisco Javier Arceo 6620b625f1 adding logo and favicon
Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>

chore: Enable keyword search for Milvus inline (#3073)

With https://github.com/milvus-io/milvus-lite/pull/294 - Milvus Lite
supports keyword search using BM25. While introducing keyword search we
had explicitly disabled it for inline milvus. This PR removes the need
for the check, and enables `inline::milvus` for tests.

<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[issue-number] -->

Run llama stack with `inline::milvus` enabled:

```
pytest tests/integration/vector_io/test_openai_vector_stores.py::test_openai_vector_store_search_modes --stack-config=http://localhost:8321 --embedding-model=all-MiniLM-L6-v2 -v
```

```
INFO     2025-08-07 17:06:20,932 tests.integration.conftest:64 tests: Setting DISABLE_CODE_SANDBOX=1 for macOS
=========================================================================================== test session starts ============================================================================================
platform darwin -- Python 3.12.11, pytest-7.4.4, pluggy-1.5.0 -- /Users/vnarsing/miniconda3/envs/stack-client/bin/python
cachedir: .pytest_cache
metadata: {'Python': '3.12.11', 'Platform': 'macOS-14.7.6-arm64-arm-64bit', 'Packages': {'pytest': '7.4.4', 'pluggy': '1.5.0'}, 'Plugins': {'asyncio': '0.23.8', 'cov': '6.0.0', 'timeout': '2.2.0', 'socket': '0.7.0', 'html': '3.1.1', 'langsmith': '0.3.39', 'anyio': '4.8.0', 'metadata': '3.0.0'}}
rootdir: /Users/vnarsing/go/src/github/meta-llama/llama-stack
configfile: pyproject.toml
plugins: asyncio-0.23.8, cov-6.0.0, timeout-2.2.0, socket-0.7.0, html-3.1.1, langsmith-0.3.39, anyio-4.8.0, metadata-3.0.0
asyncio: mode=Mode.AUTO
collected 3 items

tests/integration/vector_io/test_openai_vector_stores.py::test_openai_vector_store_search_modes[None-None-all-MiniLM-L6-v2-None-384-vector] PASSED                                                   [ 33%]
tests/integration/vector_io/test_openai_vector_stores.py::test_openai_vector_store_search_modes[None-None-all-MiniLM-L6-v2-None-384-keyword] PASSED                                                  [ 66%]
tests/integration/vector_io/test_openai_vector_stores.py::test_openai_vector_store_search_modes[None-None-all-MiniLM-L6-v2-None-384-hybrid] PASSED                                                   [100%]

============================================================================================ 3 passed in 4.75s =============================================================================================
```

Signed-off-by: Varsha Prasad Narsing <varshaprasad96@gmail.com>
Co-authored-by: Francisco Arceo <arceofrancisco@gmail.com>

chore: Fixup main pre commit (#3204)

build: Bump version to 0.2.18

chore: Faster npm pre-commit (#3206)

Adds npm to pre-commit.yml installation and caches ui
Removes node installation during pre-commit.

<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[issue-number] -->

<!-- Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.* -->

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>

chiecking in for tonight, wip moving to agents api

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>

remove log

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>

updated

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>

fix: disable ui-prettier & ui-eslint (#3207)

chore(pre-commit): add pre-commit hook to enforce llama_stack logger usage (#3061)

This PR adds a step in pre-commit to enforce using `llama_stack` logger.

Currently, various parts of the code base uses different loggers. As a
custom `llama_stack` logger exist and used in the codebase, it is better
to standardize its utilization.

Signed-off-by: Mustafa Elbehery <melbeher@redhat.com>
Co-authored-by: Matthew Farrellee <matt@cs.wisc.edu>

fix: fix ```openai_embeddings``` for asymmetric embedding NIMs (#3205)

NVIDIA asymmetric embedding models (e.g.,
`nvidia/llama-3.2-nv-embedqa-1b-v2`) require an `input_type` parameter
not present in the standard OpenAI embeddings API. This PR adds the
`input_type="query"` as default and updates the documentation to suggest
using the `embedding` API for passage embeddings.

<!-- If resolving an issue, uncomment and update the line below -->
Resolves #2892

```
pytest -s -v tests/integration/inference/test_openai_embeddings.py   --stack-config="inference=nvidia"   --embedding-model="nvidia/llama-3.2-nv-embedqa-1b-v2"   --env NVIDIA_API_KEY={nvidia_api_key}   --env NVIDIA_BASE_URL="https://integrate.api.nvidia.com"
```

cleaning up

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>

updating session manager to cache messages locally

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>

fix linter

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>

more cleanup

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
2025-08-21 16:06:30 -04:00

164 lines
5.9 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import importlib.resources
import sys
from pydantic import BaseModel
from termcolor import cprint
from llama_stack.core.datatypes import BuildConfig
from llama_stack.core.distribution import get_provider_registry
from llama_stack.core.external import load_external_apis
from llama_stack.core.utils.exec import run_command
from llama_stack.core.utils.image_types import LlamaStackImageType
from llama_stack.distributions.template import DistributionTemplate
from llama_stack.log import get_logger
from llama_stack.providers.datatypes import Api
log = get_logger(name=__name__, category="core")
# These are the dependencies needed by the distribution server.
# `llama-stack` is automatically installed by the installation script.
SERVER_DEPENDENCIES = [
"aiosqlite",
"fastapi",
"fire",
"httpx",
"uvicorn",
"opentelemetry-sdk",
"opentelemetry-exporter-otlp-proto-http",
]
class ApiInput(BaseModel):
api: Api
provider: str
def get_provider_dependencies(
config: BuildConfig | DistributionTemplate,
) -> tuple[list[str], list[str], list[str]]:
"""Get normal and special dependencies from provider configuration."""
if isinstance(config, DistributionTemplate):
config = config.build_config()
providers = config.distribution_spec.providers
additional_pip_packages = config.additional_pip_packages
deps = []
external_provider_deps = []
registry = get_provider_registry(config)
for api_str, provider_or_providers in providers.items():
providers_for_api = registry[Api(api_str)]
providers = provider_or_providers if isinstance(provider_or_providers, list) else [provider_or_providers]
for provider in providers:
# Providers from BuildConfig and RunConfig are subtly different - not great
provider_type = provider if isinstance(provider, str) else provider.provider_type
if provider_type not in providers_for_api:
raise ValueError(f"Provider `{provider}` is not available for API `{api_str}`")
provider_spec = providers_for_api[provider_type]
if hasattr(provider_spec, "is_external") and provider_spec.is_external:
# this ensures we install the top level module for our external providers
if provider_spec.module:
if isinstance(provider_spec.module, str):
external_provider_deps.append(provider_spec.module)
else:
external_provider_deps.extend(provider_spec.module)
if hasattr(provider_spec, "pip_packages"):
deps.extend(provider_spec.pip_packages)
if hasattr(provider_spec, "container_image") and provider_spec.container_image:
raise ValueError("A stack's dependencies cannot have a container image")
normal_deps = []
special_deps = []
for package in deps:
if "--no-deps" in package or "--index-url" in package:
special_deps.append(package)
else:
normal_deps.append(package)
normal_deps.extend(additional_pip_packages or [])
return list(set(normal_deps)), list(set(special_deps)), list(set(external_provider_deps))
def print_pip_install_help(config: BuildConfig):
normal_deps, special_deps, _ = get_provider_dependencies(config)
cprint(
f"Please install needed dependencies using the following commands:\n\nuv pip install {' '.join(normal_deps)}",
color="yellow",
file=sys.stderr,
)
for special_dep in special_deps:
cprint(f"uv pip install {special_dep}", color="yellow", file=sys.stderr)
print()
def build_image(
build_config: BuildConfig,
image_name: str,
distro_or_config: str,
run_config: str | None = None,
):
container_base = build_config.distribution_spec.container_image or "python:3.12-slim"
normal_deps, special_deps, external_provider_deps = get_provider_dependencies(build_config)
normal_deps += SERVER_DEPENDENCIES
if build_config.external_apis_dir:
external_apis = load_external_apis(build_config)
if external_apis:
for _, api_spec in external_apis.items():
normal_deps.extend(api_spec.pip_packages)
if build_config.image_type == LlamaStackImageType.CONTAINER.value:
script = str(importlib.resources.files("llama_stack") / "core/build_container.sh")
args = [
script,
"--distro-or-config",
distro_or_config,
"--image-name",
image_name,
"--container-base",
container_base,
"--normal-deps",
" ".join(normal_deps),
]
# When building from a config file (not a template), include the run config path in the
# build arguments
if run_config is not None:
args.extend(["--run-config", run_config])
else:
script = str(importlib.resources.files("llama_stack") / "core/build_venv.sh")
args = [
script,
"--env-name",
str(image_name),
"--normal-deps",
" ".join(normal_deps),
]
# Always pass both arguments, even if empty, to maintain consistent positional arguments
if special_deps:
args.extend(["--optional-deps", "#".join(special_deps)])
if external_provider_deps:
args.extend(
["--external-provider-deps", "#".join(external_provider_deps)]
) # the script will install external provider module, get its deps, and install those too.
return_code = run_command(args)
if return_code != 0:
log.error(
f"Failed to build target {image_name} with return code {return_code}",
)
return return_code