chore(yaml)!: move registered resources to a sub-key (#3861)

**NOTE: this is a backwards incompatible change to the run-configs.**

A small QOL update, but this will prove useful when I do a rename for
"vector_dbs" to "vector_stores" next.

Moves all the `models, shields, ...` keys in run-config under a
`registered_resources` sub-key.

llama_stack/core/datatypes.py

@@ -422,6 +422,18 @@ def process_cors_config(cors_config: bool | CORSConfig | None) -> CORSConfig | N
     raise ValueError(f"Expected bool or CORSConfig, got {type(cors_config).__name__}")
 
 
+class RegisteredResources(BaseModel):
+    """Registry of resources available in the distribution."""
+
+    models: list[ModelInput] = Field(default_factory=list)
+    shields: list[ShieldInput] = Field(default_factory=list)
+    vector_dbs: list[VectorDBInput] = Field(default_factory=list)
+    datasets: list[DatasetInput] = Field(default_factory=list)
+    scoring_fns: list[ScoringFnInput] = Field(default_factory=list)
+    benchmarks: list[BenchmarkInput] = Field(default_factory=list)
+    tool_groups: list[ToolGroupInput] = Field(default_factory=list)
+
+
 class ServerConfig(BaseModel):
     port: int = Field(
         default=8321,
@@ -491,14 +503,10 @@ can be instantiated multiple times (with different configs) if necessary.
         description="Catalog of named storage backends and references available to the stack",
     )
 
-    # registry of "resources" in the distribution
-    models: list[ModelInput] = Field(default_factory=list)
-    shields: list[ShieldInput] = Field(default_factory=list)
-    vector_dbs: list[VectorDBInput] = Field(default_factory=list)
-    datasets: list[DatasetInput] = Field(default_factory=list)
-    scoring_fns: list[ScoringFnInput] = Field(default_factory=list)
-    benchmarks: list[BenchmarkInput] = Field(default_factory=list)
-    tool_groups: list[ToolGroupInput] = Field(default_factory=list)
+    registered_resources: RegisteredResources = Field(
+        default_factory=RegisteredResources,
+        description="Registry of resources available in the distribution",
+    )
 
     logging: LoggingConfig | None = Field(default=None, description="Configuration for Llama Stack Logging")
 

llama_stack/core/stack.py

@@ -110,7 +110,7 @@ TEST_RECORDING_CONTEXT = None
 
 async def register_resources(run_config: StackRunConfig, impls: dict[Api, Any]):
     for rsrc, api, register_method, list_method in RESOURCES:
-        objects = getattr(run_config, rsrc)
+        objects = getattr(run_config.registered_resources, rsrc)
         if api not in impls:
             continue
 

llama_stack/distributions/ci-tests/run.yaml

@@ -247,6 +247,7 @@ storage:
     conversations:
       table_name: openai_conversations
       backend: sql_default
+registered_resources:
   models: []
   shields:
   - shield_id: llama-guard

llama_stack/distributions/dell/run-with-safety.yaml

@@ -109,6 +109,7 @@ storage:
     conversations:
       table_name: openai_conversations
       backend: sql_default
+registered_resources:
   models:
   - metadata: {}
     model_id: ${env.INFERENCE_MODEL}

llama_stack/distributions/dell/run.yaml

@@ -105,6 +105,7 @@ storage:
     conversations:
       table_name: openai_conversations
       backend: sql_default
+registered_resources:
   models:
   - metadata: {}
     model_id: ${env.INFERENCE_MODEL}

llama_stack/distributions/meta-reference-gpu/run-with-safety.yaml

@@ -122,6 +122,7 @@ storage:
     conversations:
       table_name: openai_conversations
       backend: sql_default
+registered_resources:
   models:
   - metadata: {}
     model_id: ${env.INFERENCE_MODEL}

llama_stack/distributions/meta-reference-gpu/run.yaml

@@ -112,6 +112,7 @@ storage:
     conversations:
       table_name: openai_conversations
       backend: sql_default
+registered_resources:
   models:
   - metadata: {}
     model_id: ${env.INFERENCE_MODEL}

llama_stack/distributions/nvidia/run-with-safety.yaml

@@ -111,6 +111,7 @@ storage:
     conversations:
       table_name: openai_conversations
       backend: sql_default
+registered_resources:
   models:
   - metadata: {}
     model_id: ${env.INFERENCE_MODEL}

llama_stack/distributions/nvidia/run.yaml

@@ -100,6 +100,7 @@ storage:
     conversations:
       table_name: openai_conversations
       backend: sql_default
+registered_resources:
   models: []
   shields: []
   vector_dbs: []

llama_stack/distributions/open-benchmark/run.yaml

@@ -142,6 +142,7 @@ storage:
     conversations:
       table_name: openai_conversations
       backend: sql_default
+registered_resources:
   models:
   - metadata: {}
     model_id: gpt-4o

llama_stack/distributions/postgres-demo/run.yaml

@@ -87,6 +87,7 @@ storage:
     conversations:
       table_name: openai_conversations
       backend: sql_default
+registered_resources:
   models:
   - metadata: {}
     model_id: ${env.INFERENCE_MODEL}

llama_stack/distributions/starter-gpu/run.yaml

@@ -250,6 +250,7 @@ storage:
     conversations:
       table_name: openai_conversations
       backend: sql_default
+registered_resources:
   models: []
   shields:
   - shield_id: llama-guard

llama_stack/distributions/starter/run.yaml

@@ -247,6 +247,7 @@ storage:
     conversations:
       table_name: openai_conversations
       backend: sql_default
+registered_resources:
   models: []
   shields:
   - shield_id: llama-guard

llama_stack/distributions/template.py

@@ -272,6 +272,7 @@ class RunConfigSettings(BaseModel):
             "apis": apis,
             "providers": provider_configs,
             "storage": storage_config,
+            "registered_resources": {
                 "models": [m.model_dump(exclude_none=True) for m in (self.default_models or [])],
                 "shields": [s.model_dump(exclude_none=True) for s in (self.default_shields or [])],
                 "vector_dbs": [],
@@ -279,6 +280,7 @@ class RunConfigSettings(BaseModel):
                 "scoring_fns": [],
                 "benchmarks": [b.model_dump(exclude_none=True) for b in (self.default_benchmarks or [])],
                 "tool_groups": [t.model_dump(exclude_none=True) for t in (self.default_tool_groups or [])],
+            },
             "server": {
                 "port": 8321,
             },

llama_stack/distributions/watsonx/run.yaml

@@ -115,6 +115,7 @@ storage:
     conversations:
       table_name: openai_conversations
       backend: sql_default
+registered_resources:
   models: []
   shields: []
   vector_dbs: []