merge

llama_stack/templates/nvidia/doc_template.md

@@ -39,9 +39,10 @@ You can do this via Conda (build code) or Docker which has a pre-built image.
 This method allows you to get started quickly without having to build the distribution code.
 
 ```bash
-LLAMA_STACK_PORT=5001
+LLAMA_STACK_PORT=8321
 docker run \
   -it \
+  --pull always \
   -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
   -v ./run.yaml:/root/my-run.yaml \
   llamastack/distribution-{{ name }} \
@@ -55,7 +56,7 @@ docker run \
 ```bash
 llama stack build --template nvidia --image-type conda
 llama stack run ./run.yaml \
-  --port 5001 \
+  --port 8321 \
   --env NVIDIA_API_KEY=$NVIDIA_API_KEY
   --env INFERENCE_MODEL=$INFERENCE_MODEL
 ```

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

@@ -46,7 +46,6 @@ providers:
   - provider_id: meta-reference
     provider_type: inline::meta-reference
     config:
-      service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/nvidia/trace_store.db}
   datasetio:

llama_stack/templates/nvidia/run.yaml

@@ -41,7 +41,6 @@ providers:
   - provider_id: meta-reference
     provider_type: inline::meta-reference
     config:
-      service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/nvidia/trace_store.db}
   datasetio: