test: add unit test to ensure all config types are instantiable (#1601)

llama_stack/providers/remote/agents/sample/__init__.py

@@ -1,17 +0,0 @@
-# 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 typing import Any
-
-from .config import SampleConfig
-
-
-async def get_adapter_impl(config: SampleConfig, _deps) -> Any:
-    from .sample import SampleAgentsImpl
-
-    impl = SampleAgentsImpl(config)
-    await impl.initialize()
-    return impl

llama_stack/providers/remote/agents/sample/config.py

@@ -1,12 +0,0 @@
-# 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 pydantic import BaseModel
-
-
-class SampleConfig(BaseModel):
-    host: str = "localhost"
-    port: int = 9999

llama_stack/providers/remote/agents/sample/sample.py

@@ -1,17 +0,0 @@
-# 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.agents import Agents
-
-from .config import SampleConfig
-
-
-class SampleAgentsImpl(Agents):
-    def __init__(self, config: SampleConfig):
-        self.config = config
-
-    async def initialize(self):
-        pass

llama_stack/providers/remote/datasetio/huggingface/config.py

@@ -3,9 +3,10 @@
 #
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
+from typing import Any, Dict
+
 from pydantic import BaseModel
 
-from llama_stack.distribution.utils.config_dirs import RUNTIME_BASE_DIR
 from llama_stack.providers.utils.kvstore.config import (
     KVStoreConfig,
     SqliteKVStoreConfig,
@@ -13,6 +14,13 @@ from llama_stack.providers.utils.kvstore.config import (
 
 
 class HuggingfaceDatasetIOConfig(BaseModel):
-    kvstore: KVStoreConfig = SqliteKVStoreConfig(
-        db_path=(RUNTIME_BASE_DIR / "huggingface_datasetio.db").as_posix()
-    )  # Uses SQLite config specific to HF storage
+    kvstore: KVStoreConfig
+
+    @classmethod
+    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
+        return {
+            "kvstore": SqliteKVStoreConfig.sample_run_config(
+                __distro_dir__=__distro_dir__,
+                db_name="huggingface_datasetio.db",
+            )
+        }

llama_stack/providers/remote/inference/databricks/config.py

@@ -4,6 +4,7 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
+from typing import Any, Dict
 
 from pydantic import BaseModel, Field
 
@@ -20,3 +21,15 @@ class DatabricksImplConfig(BaseModel):
         default=None,
         description="The Databricks API token",
     )
+
+    @classmethod
+    def sample_run_config(
+        cls,
+        url: str = "${env.DATABRICKS_URL}",
+        api_token: str = "${env.DATABRICKS_API_TOKEN}",
+        **kwargs: Any,
+    ) -> Dict[str, Any]:
+        return {
+            "url": url,
+            "api_token": api_token,
+        }

llama_stack/providers/remote/inference/runpod/__init__.py

@@ -5,10 +5,11 @@
 # the root directory of this source tree.
 
 from .config import RunpodImplConfig
-from .runpod import RunpodInferenceAdapter
 
 
 async def get_adapter_impl(config: RunpodImplConfig, _deps):
+    from .runpod import RunpodInferenceAdapter
+
     assert isinstance(config, RunpodImplConfig), f"Unexpected config type: {type(config)}"
     impl = RunpodInferenceAdapter(config)
     await impl.initialize()

llama_stack/providers/remote/inference/runpod/config.py

@@ -4,7 +4,7 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-from typing import Optional
+from typing import Any, Dict, Optional
 
 from pydantic import BaseModel, Field
 
@@ -21,3 +21,10 @@ class RunpodImplConfig(BaseModel):
         default=None,
         description="The API token",
     )
+
+    @classmethod
+    def sample_run_config(cls, **kwargs: Any) -> Dict[str, Any]:
+        return {
+            "url": "${env.RUNPOD_URL:}",
+            "api_token": "${env.RUNPOD_API_TOKEN:}",
+        }

llama_stack/providers/remote/inference/runpod/runpod.py

@@ -8,7 +8,6 @@ from typing import AsyncGenerator
 from openai import OpenAI
 
 from llama_stack.apis.inference import *  # noqa: F403
-from llama_stack.models.llama.datatypes import Message
 
 # from llama_stack.providers.datatypes import ModelsProtocolPrivate
 from llama_stack.providers.utils.inference.model_registry import ModelRegistryHelper

llama_stack/providers/remote/inference/sample/__init__.py

@@ -1,17 +0,0 @@
-# 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 typing import Any
-
-from .config import SampleConfig
-
-
-async def get_adapter_impl(config: SampleConfig, _deps) -> Any:
-    from .sample import SampleInferenceImpl
-
-    impl = SampleInferenceImpl(config)
-    await impl.initialize()
-    return impl

llama_stack/providers/remote/inference/sample/config.py

@@ -1,12 +0,0 @@
-# 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 pydantic import BaseModel
-
-
-class SampleConfig(BaseModel):
-    host: str = "localhost"
-    port: int = 9999

llama_stack/providers/remote/inference/sample/sample.py

@@ -1,23 +0,0 @@
-# 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.inference import Inference
-from llama_stack.apis.models import Model
-
-from .config import SampleConfig
-
-
-class SampleInferenceImpl(Inference):
-    def __init__(self, config: SampleConfig):
-        self.config = config
-
-    async def register_model(self, model: Model) -> None:
-        # these are the model names the Llama Stack will use to route requests to this provider
-        # perform validation here if necessary
-        pass
-
-    async def initialize(self):
-        pass

llama_stack/providers/remote/safety/sample/__init__.py

@@ -1,17 +0,0 @@
-# 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 typing import Any
-
-from .config import SampleConfig
-
-
-async def get_adapter_impl(config: SampleConfig, _deps) -> Any:
-    from .sample import SampleSafetyImpl
-
-    impl = SampleSafetyImpl(config)
-    await impl.initialize()
-    return impl

llama_stack/providers/remote/safety/sample/config.py

@@ -1,12 +0,0 @@
-# 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 pydantic import BaseModel
-
-
-class SampleConfig(BaseModel):
-    host: str = "localhost"
-    port: int = 9999

llama_stack/providers/remote/safety/sample/sample.py

@@ -1,23 +0,0 @@
-# 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.safety import Safety
-from llama_stack.apis.shields import Shield
-
-from .config import SampleConfig
-
-
-class SampleSafetyImpl(Safety):
-    def __init__(self, config: SampleConfig):
-        self.config = config
-
-    async def register_shield(self, shield: Shield) -> None:
-        # these are the safety shields the Llama Stack will use to route requests to this provider
-        # perform validation here if necessary
-        pass
-
-    async def initialize(self):
-        pass

llama_stack/providers/remote/tool_runtime/bing_search/config.py

@@ -4,7 +4,7 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-from typing import Optional
+from typing import Any, Dict, Optional
 
 from pydantic import BaseModel
 
@@ -14,3 +14,9 @@ class BingSearchToolConfig(BaseModel):
 
     api_key: Optional[str] = None
     top_k: int = 3
+
+    @classmethod
+    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
+        return {
+            "api_key": "${env.BING_API_KEY:}",
+        }

llama_stack/providers/remote/tool_runtime/model_context_protocol/config.py

@@ -4,8 +4,12 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
+from typing import Any, Dict
+
 from pydantic import BaseModel
 
 
 class ModelContextProtocolConfig(BaseModel):
-    pass
+    @classmethod
+    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
+        return {}

llama_stack/providers/remote/tool_runtime/wolfram_alpha/config.py

@@ -4,7 +4,7 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-from typing import Optional
+from typing import Any, Dict, Optional
 
 from pydantic import BaseModel
 
@@ -13,3 +13,9 @@ class WolframAlphaToolConfig(BaseModel):
     """Configuration for WolframAlpha Tool Runtime"""
 
     api_key: Optional[str] = None
+
+    @classmethod
+    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
+        return {
+            "api_key": "${env.WOLFRAM_ALPHA_API_KEY:}",
+        }

llama_stack/providers/remote/vector_io/qdrant/config.py

@@ -4,7 +4,7 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-from typing import Optional
+from typing import Any, Dict, Optional
 
 from pydantic import BaseModel
 
@@ -24,3 +24,9 @@ class QdrantVectorIOConfig(BaseModel):
     timeout: Optional[int] = None
     host: Optional[str] = None
     path: Optional[str] = None
+
+    @classmethod
+    def sample_run_config(cls, **kwargs: Any) -> Dict[str, Any]:
+        return {
+            "api_key": "${env.QDRANT_API_KEY}",
+        }

llama_stack/providers/remote/vector_io/sample/__init__.py

@@ -1,17 +0,0 @@
-# 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 typing import Any
-
-from .config import SampleVectorIOConfig
-
-
-async def get_adapter_impl(config: SampleVectorIOConfig, _deps) -> Any:
-    from .sample import SampleVectorIOImpl
-
-    impl = SampleVectorIOImpl(config)
-    await impl.initialize()
-    return impl

llama_stack/providers/remote/vector_io/sample/config.py

@@ -1,12 +0,0 @@
-# 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 pydantic import BaseModel
-
-
-class SampleVectorIOConfig(BaseModel):
-    host: str = "localhost"
-    port: int = 9999

llama_stack/providers/remote/vector_io/sample/sample.py

@@ -1,26 +0,0 @@
-# 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.vector_dbs import VectorDB
-from llama_stack.apis.vector_io import VectorIO
-
-from .config import SampleVectorIOConfig
-
-
-class SampleVectorIOImpl(VectorIO):
-    def __init__(self, config: SampleVectorIOConfig):
-        self.config = config
-
-    async def register_vector_db(self, vector_db: VectorDB) -> None:
-        # these are the vector dbs the Llama Stack will use to route requests to this provider
-        # perform validation here if necessary
-        pass
-
-    async def initialize(self):
-        pass
-
-    async def shutdown(self):
-        pass

llama_stack/providers/remote/vector_io/weaviate/config.py

@@ -4,6 +4,8 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
+from typing import Any, Dict
+
 from pydantic import BaseModel
 
 
@@ -13,4 +15,6 @@ class WeaviateRequestProviderData(BaseModel):
 
 
 class WeaviateVectorIOConfig(BaseModel):
-    pass
+    @classmethod
+    def sample_run_config(cls, **kwargs: Any) -> Dict[str, Any]:
+        return {}