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

llama_stack/providers/inline/datasetio/localfs/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 LocalFSDatasetIOConfig(BaseModel):
-    kvstore: KVStoreConfig = SqliteKVStoreConfig(
-        db_path=(RUNTIME_BASE_DIR / "localfs_datasetio.db").as_posix()
-    )  # Uses SQLite config specific to localfs 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="localfs_datasetio.db",
+            )
+        }

llama_stack/providers/inline/eval/meta_reference/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 MetaReferenceEvalConfig(BaseModel):
-    kvstore: KVStoreConfig = SqliteKVStoreConfig(
-        db_path=(RUNTIME_BASE_DIR / "meta_reference_eval.db").as_posix()
-    )  # Uses SQLite config specific to Meta Reference Eval 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="meta_reference_eval.db",
+            )
+        }

llama_stack/providers/inline/inference/vllm/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, Field
 
 from llama_stack.schema_utils import json_schema_type
@@ -40,7 +42,7 @@ class VLLMConfig(BaseModel):
     )
 
     @classmethod
-    def sample_run_config(cls):
+    def sample_run_config(cls, **kwargs: Any) -> Dict[str, Any]:
         return {
             "tensor_parallel_size": "${env.TENSOR_PARALLEL_SIZE:1}",
             "max_tokens": "${env.MAX_TOKENS:4096}",

llama_stack/providers/inline/post_training/torchtune/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 Literal, Optional
+from typing import Any, Dict, Literal, Optional
 
 from pydantic import BaseModel
 
@@ -12,3 +12,9 @@ from pydantic import BaseModel
 class TorchtunePostTrainingConfig(BaseModel):
     torch_seed: Optional[int] = None
     checkpoint_format: Optional[Literal["meta", "huggingface"]] = "meta"
+
+    @classmethod
+    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
+        return {
+            "checkpoint_format": "meta",
+        }

llama_stack/providers/inline/safety/code_scanner/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 CodeScannerConfig(BaseModel):
-    pass
+    @classmethod
+    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
+        return {}

llama_stack/providers/inline/safety/llama_guard/config.py

@@ -4,10 +4,16 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-from typing import List
+from typing import Any, Dict, List
 
 from pydantic import BaseModel
 
 
 class LlamaGuardConfig(BaseModel):
     excluded_categories: List[str] = []
+
+    @classmethod
+    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
+        return {
+            "excluded_categories": [],
+        }

llama_stack/providers/inline/safety/prompt_guard/config.py

@@ -5,6 +5,7 @@
 # the root directory of this source tree.
 
 from enum import Enum
+from typing import Any, Dict
 
 from pydantic import BaseModel, field_validator
 
@@ -23,3 +24,9 @@ class PromptGuardConfig(BaseModel):
         if v not in [t.value for t in PromptGuardType]:
             raise ValueError(f"Unknown prompt guard type: {v}")
         return v
+
+    @classmethod
+    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
+        return {
+            "guard_type": "injection",
+        }

llama_stack/providers/inline/scoring/basic/config.py

@@ -3,7 +3,12 @@
 #
 # 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 BasicScoringConfig(BaseModel): ...
+class BasicScoringConfig(BaseModel):
+    @classmethod
+    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
+        return {}

llama_stack/providers/inline/scoring/llm_as_judge/config.py

@@ -3,7 +3,12 @@
 #
 # 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 LlmAsJudgeScoringConfig(BaseModel): ...
+class LlmAsJudgeScoringConfig(BaseModel):
+    @classmethod
+    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
+        return {}

llama_stack/providers/inline/telemetry/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 SampleTelemetryImpl
-
-    impl = SampleTelemetryImpl(config)
-    await impl.initialize()
-    return impl

llama_stack/providers/inline/telemetry/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/inline/telemetry/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.telemetry import Telemetry
-
-from .config import SampleConfig
-
-
-class SampleTelemetryImpl(Telemetry):
-    def __init__(self, config: SampleConfig):
-        self.config = config
-
-    async def initialize(self):
-        pass

llama_stack/providers/inline/tool_runtime/code_interpreter/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 CodeInterpreterToolConfig(BaseModel):
-    pass
+    @classmethod
+    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
+        return {}

llama_stack/providers/inline/tool_runtime/rag/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 RagToolRuntimeConfig(BaseModel):
-    pass
+    @classmethod
+    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
+        return {}

llama_stack/providers/inline/vector_io/chroma/config.py

@@ -13,5 +13,5 @@ class ChromaVectorIOConfig(BaseModel):
     db_path: str
 
     @classmethod
-    def sample_config(cls) -> Dict[str, Any]:
-        return {"db_path": "{env.CHROMADB_PATH}"}
+    def sample_run_config(cls, db_path: str = "${env.CHROMADB_PATH}", **kwargs: Any) -> Dict[str, Any]:
+        return {"db_path": db_path}