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Merge branch 'main' into hide-non-openai-inference-apis
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commit
0e78cd5383
33 changed files with 2394 additions and 1723 deletions
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@ -20,7 +20,7 @@ logger = get_logger(name=__name__, category="providers::utils")
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class RemoteInferenceProviderConfig(BaseModel):
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allowed_models: list[str] | None = Field(
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allowed_models: list[str] | None = Field( # TODO: make this non-optional and give a list() default
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default=None,
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description="List of models that should be registered with the model registry. If None, all models are allowed.",
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)
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@ -4,6 +4,7 @@
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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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import base64
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import uuid
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from abc import ABC, abstractmethod
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from collections.abc import AsyncIterator
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@ -26,6 +27,7 @@ from llama_stack.apis.models import ModelType
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from llama_stack.log import get_logger
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from llama_stack.providers.utils.inference.model_registry import ModelRegistryHelper
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from llama_stack.providers.utils.inference.openai_compat import prepare_openai_completion_params
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from llama_stack.providers.utils.inference.prompt_adapter import localize_image_content
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logger = get_logger(name=__name__, category="providers::utils")
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@ -51,6 +53,10 @@ class OpenAIMixin(ModelRegistryHelper, ABC):
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# This is useful for providers that do not return a unique id in the response.
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overwrite_completion_id: bool = False
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# Allow subclasses to control whether to download images and convert to base64
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# for providers that require base64 encoded images instead of URLs.
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download_images: bool = False
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# Embedding model metadata for this provider
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# Can be set by subclasses or instances to provide embedding models
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# Format: {"model_id": {"embedding_dimension": 1536, "context_length": 8192}}
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@ -239,6 +245,24 @@ class OpenAIMixin(ModelRegistryHelper, ABC):
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"""
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Direct OpenAI chat completion API call.
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"""
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if self.download_images:
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async def _localize_image_url(m: OpenAIMessageParam) -> OpenAIMessageParam:
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if isinstance(m.content, list):
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for c in m.content:
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if c.type == "image_url" and c.image_url and c.image_url.url and "http" in c.image_url.url:
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localize_result = await localize_image_content(c.image_url.url)
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if localize_result is None:
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raise ValueError(
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f"Failed to localize image content from {c.image_url.url[:42]}{'...' if len(c.image_url.url) > 42 else ''}"
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)
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content, format = localize_result
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c.image_url.url = f"data:image/{format};base64,{base64.b64encode(content).decode('utf-8')}"
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# else it's a string and we don't need to modify it
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return m
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messages = [await _localize_image_url(m) for m in messages]
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resp = await self.client.chat.completions.create(
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**await prepare_openai_completion_params(
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model=await self._get_provider_model_id(model),
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@ -28,7 +28,7 @@ class CommonConfig(BaseModel):
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class RedisKVStoreConfig(CommonConfig):
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type: Literal[KVStoreType.redis.value] = KVStoreType.redis.value
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type: Literal["redis"] = KVStoreType.redis.value
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host: str = "localhost"
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port: int = 6379
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@ -50,7 +50,7 @@ class RedisKVStoreConfig(CommonConfig):
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class SqliteKVStoreConfig(CommonConfig):
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type: Literal[KVStoreType.sqlite.value] = KVStoreType.sqlite.value
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type: Literal["sqlite"] = KVStoreType.sqlite.value
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db_path: str = Field(
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default=(RUNTIME_BASE_DIR / "kvstore.db").as_posix(),
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description="File path for the sqlite database",
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@ -69,7 +69,7 @@ class SqliteKVStoreConfig(CommonConfig):
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class PostgresKVStoreConfig(CommonConfig):
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type: Literal[KVStoreType.postgres.value] = KVStoreType.postgres.value
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type: Literal["postgres"] = KVStoreType.postgres.value
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host: str = "localhost"
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port: int = 5432
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db: str = "llamastack"
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@ -113,11 +113,11 @@ class PostgresKVStoreConfig(CommonConfig):
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class MongoDBKVStoreConfig(CommonConfig):
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type: Literal[KVStoreType.mongodb.value] = KVStoreType.mongodb.value
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type: Literal["mongodb"] = KVStoreType.mongodb.value
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host: str = "localhost"
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port: int = 27017
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db: str = "llamastack"
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user: str = None
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user: str | None = None
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password: str | None = None
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collection_name: str = "llamastack_kvstore"
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@ -7,6 +7,7 @@
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from datetime import datetime
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from pymongo import AsyncMongoClient
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from pymongo.asynchronous.collection import AsyncCollection
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from llama_stack.log import get_logger
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from llama_stack.providers.utils.kvstore import KVStore
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@ -19,8 +20,13 @@ log = get_logger(name=__name__, category="providers::utils")
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class MongoDBKVStoreImpl(KVStore):
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def __init__(self, config: MongoDBKVStoreConfig):
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self.config = config
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self.conn = None
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self.collection = None
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self.conn: AsyncMongoClient | None = None
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@property
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def collection(self) -> AsyncCollection:
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if self.conn is None:
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raise RuntimeError("MongoDB connection is not initialized")
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return self.conn[self.config.db][self.config.collection_name]
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async def initialize(self) -> None:
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try:
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@ -32,7 +38,6 @@ class MongoDBKVStoreImpl(KVStore):
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}
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conn_creds = {k: v for k, v in conn_creds.items() if v is not None}
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self.conn = AsyncMongoClient(**conn_creds)
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self.collection = self.conn[self.config.db][self.config.collection_name]
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except Exception as e:
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log.exception("Could not connect to MongoDB database server")
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raise RuntimeError("Could not connect to MongoDB database server") from e
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@ -9,9 +9,13 @@ from datetime import datetime
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import aiosqlite
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from llama_stack.log import get_logger
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from ..api import KVStore
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from ..config import SqliteKVStoreConfig
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logger = get_logger(name=__name__, category="providers::utils")
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class SqliteKVStoreImpl(KVStore):
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def __init__(self, config: SqliteKVStoreConfig):
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@ -50,6 +54,9 @@ class SqliteKVStoreImpl(KVStore):
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if row is None:
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return None
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value, expiration = row
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if not isinstance(value, str):
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logger.warning(f"Expected string value for key {key}, got {type(value)}, returning None")
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return None
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return value
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async def delete(self, key: str) -> None:
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