wip

llama_stack/providers/impls/meta_reference/models/__init__.py

@@ -0,0 +1,25 @@
+# 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 Dict
+
+from llama_stack.distribution.datatypes import Api, ProviderSpec
+
+from .config import MetaReferenceImplConfig  # noqa
+
+
+async def get_provider_impl(
+    config: MetaReferenceImplConfig, deps: Dict[Api, ProviderSpec]
+):
+    from .models import MetaReferenceModelsImpl
+
+    assert isinstance(
+        config, MetaReferenceImplConfig
+    ), f"Unexpected config type: {type(config)}"
+
+    impl = MetaReferenceModelsImpl(config, deps[Api.inference], deps[Api.safety])
+    await impl.initialize()
+    return impl

llama_stack/providers/impls/meta_reference/models/config.py

@@ -0,0 +1,18 @@
+# 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 Optional
+
+from llama_models.datatypes import ModelFamily
+
+from llama_models.schema_utils import json_schema_type
+from llama_models.sku_list import all_registered_models, resolve_model
+
+from pydantic import BaseModel, Field, field_validator
+
+
+@json_schema_type
+class MetaReferenceImplConfig(BaseModel): ...

llama_stack/providers/impls/meta_reference/models/models.py

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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.
+import asyncio
+
+from typing import AsyncIterator, Union
+
+from llama_models.llama3.api.datatypes import StopReason
+from llama_models.sku_list import resolve_model
+
+from llama_stack.apis.models import *  # noqa: F403
+from llama_models.llama3.api.datatypes import *  # noqa: F403
+from llama_models.datatypes import CoreModelId, Model
+from llama_models.sku_list import resolve_model
+from llama_stack.apis.inference import Inference
+from llama_stack.apis.safety import Safety
+
+from llama_stack.providers.impls.meta_reference.inference.inference import (
+    MetaReferenceInferenceImpl,
+)
+from llama_stack.providers.impls.meta_reference.safety.safety import (
+    MetaReferenceSafetyImpl,
+)
+
+from .config import MetaReferenceImplConfig
+
+
+class MetaReferenceModelsImpl(Models):
+    def __init__(
+        self,
+        config: MetaReferenceImplConfig,
+        inference_api: Inference,
+        safety_api: Safety,
+    ) -> None:
+        self.config = config
+        self.inference_api = inference_api
+        self.safety_api = safety_api
+
+        self.models_list = []
+        # TODO, make the inference route provider and use router provider to do the lookup dynamically
+        if isinstance(
+            self.inference_api,
+            MetaReferenceInferenceImpl,
+        ):
+            model = resolve_model(self.inference_api.config.model)
+            self.models_list.append(
+                ModelSpec(
+                    llama_model_metadata=model,
+                    providers_spec={
+                        "inference": [{"provider_type": "meta-reference"}],
+                    },
+                )
+            )
+
+        if isinstance(
+            self.safety_api,
+            MetaReferenceSafetyImpl,
+        ):
+            shield_cfg = self.safety_api.config.llama_guard_shield
+            if shield_cfg is not None:
+                model = resolve_model(shield_cfg.model)
+                self.models_list.append(
+                    ModelSpec(
+                        llama_model_metadata=model,
+                        providers_spec={
+                            "safety": [{"provider_type": "meta-reference"}],
+                        },
+                    )
+                )
+            shield_cfg = self.safety_api.config.prompt_guard_shield
+            if shield_cfg is not None:
+                model = resolve_model(shield_cfg.model)
+                self.models_list.append(
+                    ModelSpec(
+                        llama_model_metadata=model,
+                        providers_spec={
+                            "safety": [{"provider_type": "meta-reference"}],
+                        },
+                    )
+                )
+
+    async def initialize(self) -> None:
+        pass
+
+    async def list_models(self) -> ModelsListResponse:
+        return ModelsListResponse(models_list=self.models_list)
+
+    async def get_model(self, model_id: str) -> ModelsGetResponse:
+        for model in self.models_list:
+            if model.llama_model_metadata.core_model_id.value == model_id:
+                return ModelsGetResponse(core_model_spec=model)
+        return ModelsGetResponse()
+
+    async def register_model(
+        self, model_id: str, api: str, provider_spec: Dict[str, str]
+    ) -> ModelsRegisterResponse:
+        return ModelsRegisterResponse()