Start auto-generating { build, run, doc.md } for distributions

llama_stack/providers/inline/agents/meta_reference/config.py

@@ -12,3 +12,11 @@ from llama_stack.providers.utils.kvstore.config import SqliteKVStoreConfig
 
 class MetaReferenceAgentsImplConfig(BaseModel):
     persistence_store: KVStoreConfig = Field(default=SqliteKVStoreConfig())
+
+    @classmethod
+    def sample_dict(cls):
+        return {
+            "persistence_store": SqliteKVStoreConfig.sample_dict(
+                db_name="agents_store.db"
+            ),
+        }

llama_stack/providers/inline/inference/vllm/config.py

@@ -34,6 +34,16 @@ class VLLMConfig(BaseModel):
         default=0.3,
     )
 
+    @classmethod
+    def sample_dict(cls):
+        return {
+            "model": "${env.VLLM_INFERENCE_MODEL:Llama3.2-3B-Instruct}",
+            "tensor_parallel_size": "${env.VLLM_TENSOR_PARALLEL_SIZE:1}",
+            "max_tokens": "${env.VLLM_MAX_TOKENS:4096}",
+            "enforce_eager": "${env.VLLM_ENFORCE_EAGER:False}",
+            "gpu_memory_utilization": "${env.VLLM_GPU_MEMORY_UTILIZATION:0.3}",
+        }
+
     @field_validator("model")
     @classmethod
     def validate_model(cls, model: str) -> str:

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

@@ -11,3 +11,9 @@ from pydantic import BaseModel
 
 class LlamaGuardConfig(BaseModel):
     excluded_categories: List[str] = []
+
+    @classmethod
+    def sample_dict(cls):
+        return {
+            "excluded_categories": [],
+        }