Update more distribution docs to be simpler and partially codegen'ed

llama_stack/templates/vllm-gpu/run.yaml

@@ -0,0 +1,58 @@
+version: '2'
+image_name: vllm-gpu
+docker_image: null
+conda_env: vllm-gpu
+apis:
+- agents
+- inference
+- memory
+- safety
+- telemetry
+providers:
+  inference:
+  - provider_id: vllm
+    provider_type: inline::vllm
+    config:
+      model: ${env.INFERENCE_MODEL:Llama3.2-3B-Instruct}
+      tensor_parallel_size: ${env.TENSOR_PARALLEL_SIZE:1}
+      max_tokens: ${env.MAX_TOKENS:4096}
+      enforce_eager: ${env.ENFORCE_EAGER:False}
+      gpu_memory_utilization: ${env.GPU_MEMORY_UTILIZATION:0.7}
+  memory:
+  - provider_id: faiss
+    provider_type: inline::faiss
+    config:
+      kvstore:
+        type: sqlite
+        namespace: null
+        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/vllm-gpu}/faiss_store.db
+  safety:
+  - provider_id: llama-guard
+    provider_type: inline::llama-guard
+    config: {}
+  agents:
+  - provider_id: meta-reference
+    provider_type: inline::meta-reference
+    config:
+      persistence_store:
+        type: sqlite
+        namespace: null
+        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/vllm-gpu}/agents_store.db
+  telemetry:
+  - provider_id: meta-reference
+    provider_type: inline::meta-reference
+    config: {}
+metadata_store:
+  namespace: null
+  type: sqlite
+  db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/vllm-gpu}/registry.db
+models:
+- metadata: {}
+  model_id: ${env.INFERENCE_MODEL}
+  provider_id: vllm
+  provider_model_id: null
+shields: []
+memory_banks: []
+datasets: []
+scoring_fns: []
+eval_tasks: []