add embedding model by default to distribution templates (#617)

# What does this PR do?
Adds the sentence transformer provider and the `all-MiniLM-L6-v2`
embedding model to the default models to register in the run.yaml for
all providers.

## Test Plan
llama stack build --template together --image-type conda
llama stack run
~/.llama/distributions/llamastack-together/together-run.yaml

llama_stack/templates/vllm-gpu/run.yaml

@@ -21,6 +21,9 @@ providers:
       max_tokens: ${env.MAX_TOKENS:4096}
       enforce_eager: ${env.ENFORCE_EAGER:False}
       gpu_memory_utilization: ${env.GPU_MEMORY_UTILIZATION:0.7}
+  - provider_id: sentence-transformers
+    provider_type: inline::sentence-transformers
+    config: {}
   memory:
   - provider_id: faiss
     provider_type: inline::faiss
@@ -79,6 +82,13 @@ models:
   model_id: ${env.INFERENCE_MODEL}
   provider_id: vllm
   provider_model_id: null
+  model_type: llm
+- metadata:
+    embedding_dimension: 384
+  model_id: all-MiniLM-L6-v2
+  provider_id: sentence-transformers
+  provider_model_id: null
+  model_type: embedding
 shields: []
 memory_banks: []
 datasets: []

llama_stack/templates/vllm-gpu/vllm.py

@@ -4,7 +4,11 @@
 # 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.models.models import ModelType
 from llama_stack.distribution.datatypes import ModelInput, Provider
+from llama_stack.providers.inline.inference.sentence_transformers import (
+    SentenceTransformersInferenceConfig,
+)
 from llama_stack.providers.inline.inference.vllm import VLLMConfig
 from llama_stack.providers.inline.memory.faiss.config import FaissImplConfig
 from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
@@ -32,11 +36,24 @@ def get_distribution_template() -> DistributionTemplate:
         provider_type="inline::faiss",
         config=FaissImplConfig.sample_run_config(f"distributions/{name}"),
     )
+    embedding_provider = Provider(
+        provider_id="sentence-transformers",
+        provider_type="inline::sentence-transformers",
+        config=SentenceTransformersInferenceConfig.sample_run_config(),
+    )
 
     inference_model = ModelInput(
         model_id="${env.INFERENCE_MODEL}",
         provider_id="vllm",
     )
+    embedding_model = ModelInput(
+        model_id="all-MiniLM-L6-v2",
+        provider_id="sentence-transformers",
+        model_type=ModelType.embedding,
+        metadata={
+            "embedding_dimension": 384,
+        },
+    )
 
     return DistributionTemplate(
         name=name,
@@ -49,10 +66,10 @@ def get_distribution_template() -> DistributionTemplate:
         run_configs={
             "run.yaml": RunConfigSettings(
                 provider_overrides={
-                    "inference": [inference_provider],
+                    "inference": [inference_provider, embedding_provider],
                     "memory": [memory_provider],
                 },
-                default_models=[inference_model],
+                default_models=[inference_model, embedding_model],
             ),
         },
         run_config_env_vars={