openapi gen + precommit fix

docs/source/distributions/ondevice_distro/android_sdk.md

@@ -58,7 +58,7 @@ Breaking down the demo app, this section will show the core pieces that are used
 ### Setup Remote Inferencing
 Start a Llama Stack server on localhost. Here is an example of how you can do this using the firework.ai distribution:
 ```
-conda create -n stack-fireworks python=3.10 
+conda create -n stack-fireworks python=3.10
 conda activate stack-fireworks
 pip install --no-cache llama-stack==0.1.4
 llama stack build --template fireworks --image-type conda

llama_stack/apis/datasetio/datasetio.py

@@ -50,6 +50,4 @@ class DatasetIO(Protocol):
         ...
 
     @webmethod(route="/datasets/{dataset_id}/append-rows", method="POST")
-    async def append_rows(
+    async def append_rows(self, dataset_id: str, rows: List[Dict[str, Any]]) -> None: ...
-        self, dataset_id: str, rows: List[Dict[str, Any]]
-    ) -> None: ...

llama_stack/templates/open-benchmark/open_benchmark.py

@@ -203,18 +203,10 @@ def get_distribution_template() -> DistributionTemplate:
         DatasetInput(
             dataset_id="bfcl",
             provider_id="huggingface",
-            url=URL(uri="https://huggingface.co/datasets/llamastack/bfcl_v3"),
+            purpose=DatasetPurpose.eval_messages_answer,
-            metadata={
+            source=URIDataSource(
-                "path": "llamastack/bfcl_v3",
+                uri="huggingface://llamastack/bfcl_v3?split=train",
-                "split": "train",
+            ),
-            },
-            dataset_schema={
-                "function": {"type": "string"},
-                "language": {"type": "string"},
-                "ground_truth": {"type": "string"},
-                "id": {"type": "string"},
-                "chat_completion_input": {"type": "string"},
-            },
         ),
     ]
 

llama_stack/templates/open-benchmark/run.yaml

@@ -186,22 +186,11 @@ datasets:
   metadata: {}
   dataset_id: math_500
   provider_id: huggingface
-- dataset_schema:
+- purpose: eval/messages-answer
-    function:
+  source:
-      type: string
+    type: uri
-    language:
+    uri: huggingface://llamastack/bfcl_v3?split=train
-      type: string
+  metadata: {}
-    ground_truth:
-      type: string
-    id:
-      type: string
-    chat_completion_input:
-      type: string
-  url:
-    uri: https://huggingface.co/datasets/llamastack/bfcl_v3
-  metadata:
-    path: llamastack/bfcl_v3
-    split: train
   dataset_id: bfcl
   provider_id: huggingface
 scoring_fns: []