params -> fn

docs/_static/llama-stack-spec.html

@@ -9602,29 +9602,9 @@
             "RegisterScoringFunctionRequest": {
                 "type": "object",
                 "properties": {
-                    "scoring_fn_type": {
-                        "type": "string",
-                        "enum": [
-                            "custom_llm_as_judge",
-                            "regex_parser",
-                            "regex_parser_math_response",
-                            "equality",
-                            "subset_of",
-                            "factuality",
-                            "faithfulness",
-                            "answer_correctness",
-                            "answer_relevancy",
-                            "answer_similarity",
-                            "context_entity_recall",
-                            "context_precision",
-                            "context_recall",
-                            "context_relevancy"
-                        ],
-                        "description": "The type of scoring function to register."
-                    },
-                    "params": {
+                    "fn": {
                         "$ref": "#/components/schemas/ScoringFnParams",
-                        "description": "The parameters for the scoring function."
+                        "description": "The type and parameters for the scoring function."
                     },
                     "scoring_fn_id": {
                         "type": "string",
@@ -9659,8 +9639,7 @@
                 },
                 "additionalProperties": false,
                 "required": [
-                    "scoring_fn_type",
-                    "params"
+                    "fn"
                 ],
                 "title": "RegisterScoringFunctionRequest"
             },

docs/_static/llama-stack-spec.yaml

@@ -6534,28 +6534,10 @@ components:
     RegisterScoringFunctionRequest:
       type: object
       properties:
-        scoring_fn_type:
-          type: string
-          enum:
-            - custom_llm_as_judge
-            - regex_parser
-            - regex_parser_math_response
-            - equality
-            - subset_of
-            - factuality
-            - faithfulness
-            - answer_correctness
-            - answer_relevancy
-            - answer_similarity
-            - context_entity_recall
-            - context_precision
-            - context_recall
-            - context_relevancy
-          description: >-
-            The type of scoring function to register.
-        params:
+        fn:
           $ref: '#/components/schemas/ScoringFnParams'
-          description: The parameters for the scoring function.
+          description: >-
+            The type and parameters for the scoring function.
         scoring_fn_id:
           type: string
           description: >-
@@ -6576,8 +6558,7 @@ components:
             - E.g. {"description": "This scoring function is used for ..."}
       additionalProperties: false
       required:
-        - scoring_fn_type
-        - params
+        - fn
       title: RegisterScoringFunctionRequest
     RegisterShieldRequest:
       type: object

llama_stack/apis/scoring_functions/scoring_functions.py

@@ -12,8 +12,8 @@ from typing import (
     Literal,
     Optional,
     Protocol,
-    Union,
     runtime_checkable,
+    Union,
 )
 
 from pydantic import BaseModel, Field
@@ -218,7 +218,9 @@ class CommonScoringFnFields(BaseModel):
 
 @json_schema_type
 class ScoringFn(CommonScoringFnFields, Resource):
-    type: Literal[ResourceType.scoring_function.value] = ResourceType.scoring_function.value
+    type: Literal[ResourceType.scoring_function.value] = (
+        ResourceType.scoring_function.value
+    )
 
     @property
     def scoring_fn_id(self) -> str:
@@ -245,13 +247,14 @@ class ScoringFunctions(Protocol):
     async def list_scoring_functions(self) -> ListScoringFunctionsResponse: ...
 
     @webmethod(route="/scoring-functions/{scoring_fn_id:path}", method="GET")
-    async def get_scoring_function(self, scoring_fn_id: str, /) -> Optional[ScoringFn]: ...
+    async def get_scoring_function(
+        self, scoring_fn_id: str, /
+    ) -> Optional[ScoringFn]: ...
 
     @webmethod(route="/scoring-functions", method="POST")
     async def register_scoring_function(
         self,
-        scoring_fn_type: ScoringFunctionType,
-        params: ScoringFnParams = None,
+        fn: ScoringFnParams,
         scoring_fn_id: Optional[str] = None,
         metadata: Optional[Dict[str, Any]] = None,
     ) -> ScoringFn:
@@ -259,8 +262,7 @@ class ScoringFunctions(Protocol):
         Register a new scoring function with given parameters.
         Only valid scoring function type that can be parameterized can be registered.
 
-        :param scoring_fn_type: The type of scoring function to register.
-        :param params: The parameters for the scoring function.
+        :param fn: The type and parameters for the scoring function.
         :param scoring_fn_id: (Optional) The ID of the scoring function to register. If not provided, a random ID will be generated.
         :param metadata: (Optional) Any additional metadata to be associated with the scoring function.
             - E.g. {"description": "This scoring function is used for ..."}