chore(package): migrate to src/ layout (#3920)

Migrates package structure to src/ layout following Python packaging
best practices.

All code moved from `llama_stack/` to `src/llama_stack/`. Public API
unchanged - imports remain `import llama_stack.*`.

Updated build configs, pre-commit hooks, scripts, and GitHub workflows
accordingly. All hooks pass, package builds cleanly.

**Developer note**: Reinstall after pulling: `pip install -e .`
This commit is contained in:
Ashwin Bharambe 2025-10-27 12:02:21 -07:00 committed by GitHub
parent 98a5047f9d
commit 471b1b248b
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791 changed files with 2983 additions and 456 deletions

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# 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.
from .postgres_demo import get_distribution_template # noqa: F401

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# 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.
from llama_stack.apis.models import ModelType
from llama_stack.core.datatypes import (
BuildProvider,
ModelInput,
Provider,
ShieldInput,
ToolGroupInput,
)
from llama_stack.distributions.template import (
DistributionTemplate,
RunConfigSettings,
)
from llama_stack.providers.inline.inference.sentence_transformers import SentenceTransformersInferenceConfig
from llama_stack.providers.remote.inference.vllm import VLLMInferenceAdapterConfig
from llama_stack.providers.remote.vector_io.chroma.config import ChromaVectorIOConfig
from llama_stack.providers.utils.kvstore.config import PostgresKVStoreConfig
from llama_stack.providers.utils.sqlstore.sqlstore import PostgresSqlStoreConfig
def get_distribution_template() -> DistributionTemplate:
inference_providers = [
Provider(
provider_id="vllm-inference",
provider_type="remote::vllm",
config=VLLMInferenceAdapterConfig.sample_run_config(
url="${env.VLLM_URL:=http://localhost:8000/v1}",
),
),
]
providers = {
"inference": [
BuildProvider(provider_type="remote::vllm"),
BuildProvider(provider_type="inline::sentence-transformers"),
],
"vector_io": [BuildProvider(provider_type="remote::chromadb")],
"safety": [BuildProvider(provider_type="inline::llama-guard")],
"agents": [BuildProvider(provider_type="inline::meta-reference")],
"tool_runtime": [
BuildProvider(provider_type="remote::brave-search"),
BuildProvider(provider_type="remote::tavily-search"),
BuildProvider(provider_type="inline::rag-runtime"),
BuildProvider(provider_type="remote::model-context-protocol"),
],
}
name = "postgres-demo"
vector_io_providers = [
Provider(
provider_id="${env.ENABLE_CHROMADB:+chromadb}",
provider_type="remote::chromadb",
config=ChromaVectorIOConfig.sample_run_config(
f"~/.llama/distributions/{name}",
url="${env.CHROMADB_URL:=}",
),
),
]
default_tool_groups = [
ToolGroupInput(
toolgroup_id="builtin::websearch",
provider_id="tavily-search",
),
ToolGroupInput(
toolgroup_id="builtin::rag",
provider_id="rag-runtime",
),
]
default_models = [
ModelInput(
model_id="${env.INFERENCE_MODEL}",
provider_id="vllm-inference",
)
]
embedding_provider = Provider(
provider_id="sentence-transformers",
provider_type="inline::sentence-transformers",
config=SentenceTransformersInferenceConfig.sample_run_config(),
)
embedding_model = ModelInput(
model_id="nomic-embed-text-v1.5",
provider_id=embedding_provider.provider_id,
model_type=ModelType.embedding,
metadata={
"embedding_dimension": 768,
},
)
return DistributionTemplate(
name=name,
distro_type="self_hosted",
description="Quick start template for running Llama Stack with several popular providers",
container_image=None,
template_path=None,
providers=providers,
available_models_by_provider={},
run_configs={
"run.yaml": RunConfigSettings(
provider_overrides={
"inference": inference_providers + [embedding_provider],
"vector_io": vector_io_providers,
},
default_models=default_models + [embedding_model],
default_tool_groups=default_tool_groups,
default_shields=[ShieldInput(shield_id="meta-llama/Llama-Guard-3-8B")],
storage_backends={
"kv_default": PostgresKVStoreConfig.sample_run_config(
table_name="llamastack_kvstore",
),
"sql_default": PostgresSqlStoreConfig.sample_run_config(),
},
),
},
run_config_env_vars={
"LLAMA_STACK_PORT": (
"8321",
"Port for the Llama Stack distribution server",
),
},
)