all distros

llama_stack/templates/meta-reference-gpu/meta_reference.py

@@ -10,6 +10,7 @@ from llama_stack.distribution.datatypes import ModelInput, Provider, ShieldInput
 from llama_stack.providers.inline.inference.meta_reference import (
     MetaReferenceInferenceConfig,
 )
+from llama_stack.providers.inline.memory.faiss.config import FaissImplConfig
 from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
 
 
@@ -24,7 +25,7 @@ def get_distribution_template() -> DistributionTemplate:
         "datasetio": ["remote::huggingface", "inline::localfs"],
         "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
     }
-
+    name = "meta-reference-gpu"
     inference_provider = Provider(
         provider_id="meta-reference-inference",
         provider_type="inline::meta-reference",
@@ -33,6 +34,11 @@ def get_distribution_template() -> DistributionTemplate:
             checkpoint_dir="${env.INFERENCE_CHECKPOINT_DIR:null}",
         ),
     )
+    memory_provider = Provider(
+        provider_id="faiss",
+        provider_type="inline::faiss",
+        config=FaissImplConfig.sample_run_config(f"distributions/{name}"),
+    )
 
     inference_model = ModelInput(
         model_id="${env.INFERENCE_MODEL}",
@@ -44,7 +50,7 @@ def get_distribution_template() -> DistributionTemplate:
     )
 
     return DistributionTemplate(
-        name="meta-reference-gpu",
+        name=name,
         distro_type="self_hosted",
         description="Use Meta Reference for running LLM inference",
         template_path=Path(__file__).parent / "doc_template.md",
@@ -54,6 +60,7 @@ def get_distribution_template() -> DistributionTemplate:
             "run.yaml": RunConfigSettings(
                 provider_overrides={
                     "inference": [inference_provider],
+                    "memory": [memory_provider],
                 },
                 default_models=[inference_model],
             ),