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https://github.com/meta-llama/llama-stack.git
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2c43285e22
**This PR changes configurations in a backward incompatible way.**
Run configs today repeat full SQLite/Postgres snippets everywhere a
store is needed, which means duplicated credentials, extra connection
pools, and lots of drift between files. This PR introduces named storage
backends so the stack and providers can share a single catalog and
reference those backends by name.
## Key Changes
- Add `storage.backends` to `StackRunConfig`, register each KV/SQL
backend once at startup, and validate that references point to the right
family.
- Move server stores under `storage.stores` with lightweight references
(backend + namespace/table) instead of full configs.
- Update every provider/config/doc to use the new reference style;
docs/codegen now surface the simplified YAML.
## Migration
Before:
```yaml
metadata_store:
type: sqlite
db_path: ~/.llama/distributions/foo/registry.db
inference_store:
type: postgres
host: ${env.POSTGRES_HOST}
port: ${env.POSTGRES_PORT}
db: ${env.POSTGRES_DB}
user: ${env.POSTGRES_USER}
password: ${env.POSTGRES_PASSWORD}
conversations_store:
type: postgres
host: ${env.POSTGRES_HOST}
port: ${env.POSTGRES_PORT}
db: ${env.POSTGRES_DB}
user: ${env.POSTGRES_USER}
password: ${env.POSTGRES_PASSWORD}
```
After:
```yaml
storage:
backends:
kv_default:
type: kv_sqlite
db_path: ~/.llama/distributions/foo/kvstore.db
sql_default:
type: sql_postgres
host: ${env.POSTGRES_HOST}
port: ${env.POSTGRES_PORT}
db: ${env.POSTGRES_DB}
user: ${env.POSTGRES_USER}
password: ${env.POSTGRES_PASSWORD}
stores:
metadata:
backend: kv_default
namespace: registry
inference:
backend: sql_default
table_name: inference_store
max_write_queue_size: 10000
num_writers: 4
conversations:
backend: sql_default
table_name: openai_conversations
```
Provider configs follow the same pattern—for example, a Chroma vector
adapter switches from:
```yaml
providers:
vector_io:
- provider_id: chromadb
provider_type: remote::chromadb
config:
url: ${env.CHROMADB_URL}
kvstore:
type: sqlite
db_path: ~/.llama/distributions/foo/chroma.db
```
to:
```yaml
providers:
vector_io:
- provider_id: chromadb
provider_type: remote::chromadb
config:
url: ${env.CHROMADB_URL}
persistence:
backend: kv_default
namespace: vector_io::chroma_remote
```
Once the backends are declared, everything else just points at them, so
rotating credentials or swapping to Postgres happens in one place and
the stack reuses a single connection pool.
70 lines
2.3 KiB
Python
70 lines
2.3 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from typing import Annotated, cast
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from pydantic import Field
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from llama_stack.core.storage.datatypes import (
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PostgresSqlStoreConfig,
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SqliteSqlStoreConfig,
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SqlStoreReference,
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StorageBackendConfig,
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StorageBackendType,
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)
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from .api import SqlStore
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sql_store_pip_packages = ["sqlalchemy[asyncio]", "aiosqlite", "asyncpg"]
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_SQLSTORE_BACKENDS: dict[str, StorageBackendConfig] = {}
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SqlStoreConfig = Annotated[
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SqliteSqlStoreConfig | PostgresSqlStoreConfig,
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Field(discriminator="type"),
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]
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def get_pip_packages(store_config: dict | SqlStoreConfig) -> list[str]:
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"""Get pip packages for SQL store config, handling both dict and object cases."""
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if isinstance(store_config, dict):
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store_type = store_config.get("type")
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if store_type == StorageBackendType.SQL_SQLITE.value:
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return SqliteSqlStoreConfig.pip_packages()
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elif store_type == StorageBackendType.SQL_POSTGRES.value:
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return PostgresSqlStoreConfig.pip_packages()
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else:
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raise ValueError(f"Unknown SQL store type: {store_type}")
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else:
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return store_config.pip_packages()
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def sqlstore_impl(reference: SqlStoreReference) -> SqlStore:
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backend_name = reference.backend
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backend_config = _SQLSTORE_BACKENDS.get(backend_name)
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if backend_config is None:
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raise ValueError(
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f"Unknown SQL store backend '{backend_name}'. Registered backends: {sorted(_SQLSTORE_BACKENDS)}"
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)
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if isinstance(backend_config, SqliteSqlStoreConfig | PostgresSqlStoreConfig):
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from .sqlalchemy_sqlstore import SqlAlchemySqlStoreImpl
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config = cast(SqliteSqlStoreConfig | PostgresSqlStoreConfig, backend_config).model_copy()
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return SqlAlchemySqlStoreImpl(config)
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else:
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raise ValueError(f"Unknown sqlstore type {backend_config.type}")
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def register_sqlstore_backends(backends: dict[str, StorageBackendConfig]) -> None:
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"""Register the set of available SQL store backends for reference resolution."""
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global _SQLSTORE_BACKENDS
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_SQLSTORE_BACKENDS.clear()
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for name, cfg in backends.items():
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_SQLSTORE_BACKENDS[name] = cfg
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