purpose

llama_stack/apis/scoring_functions/scoring_functions.py

@@ -21,6 +21,7 @@ from typing_extensions import Annotated
 
 from llama_stack.apis.resource import Resource, ResourceType
 from llama_stack.schema_utils import json_schema_type, register_schema, webmethod
+from llama_stack.apis.datasets import DatasetPurpose
 
 # Perhaps more structure can be imposed on these functions. Maybe they could be associated
 # with standard metrics so they can be rolled up?
@@ -50,7 +51,6 @@ class ScoringFunctionType(Enum):
     context_relevancy = "context_relevancy"
 
 
-@json_schema_type
 class AggregationFunctionType(Enum):
     """
     A type of aggregation function.
@@ -200,16 +200,10 @@ ScoringFnParams = register_schema(
 
 class CommonScoringFnFields(BaseModel):
     """
-    :param scoring_fn_type: The type of scoring function.
+    :param fn: The scoring function type and parameters. 
-    :param params: (Optional) The parameters for the scoring function.
     :param metadata: (Optional) Any additional metadata for this definition (e.g. description).
     """
-
+    fn: ScoringFnParams
-    scoring_fn_type: ScoringFunctionType
-    params: Optional[ScoringFnParams] = Field(
-        description="The parameters for the scoring function.",
-        default=None,
-    )
     metadata: Dict[str, Any] = Field(
         default_factory=dict,
         description="Any additional metadata for this definition (e.g. description)",
@@ -229,6 +223,22 @@ class ScoringFn(CommonScoringFnFields, Resource):
         return self.provider_resource_id
 
 
+@json_schema_type
+class ScoringFnTypeInfo(BaseModel):
+    """
+    :param type: The type of scoring function. 
+    :param description: A description of the scoring function type. 
+        - E.g. Write your custom judge prompt to score the answer. 
+    :param supported_purposes: The purposes that this scoring function can be used for.
+    """
+    type: ScoringFunctionType
+    description: str
+    supported_purposes: List[DatasetPurpose] = Field(
+        description="The purposes that this scoring function can be used for",
+        default_factory=list,
+    )
+
+
 class ScoringFnInput(CommonScoringFnFields, BaseModel):
     scoring_fn_id: str
     provider_id: Optional[str] = None
@@ -239,16 +249,36 @@ class ListScoringFunctionsResponse(BaseModel):
     data: List[ScoringFn]
 
 
+class ListScoringFunctionTypesResponse(BaseModel):
+    data: List[ScoringFnTypeInfo]
+
+
 @runtime_checkable
 class ScoringFunctions(Protocol):
     @webmethod(route="/scoring-functions", method="GET")
-    async def list_scoring_functions(self) -> ListScoringFunctionsResponse: ...
+    async def list_scoring_functions(self) -> ListScoringFunctionsResponse: 
+        """
+        List all registered scoring functions.
+        """
+        ...
+
+    @webmethod(route="/scoring-functions/types", method="GET")
+    async def list_scoring_function_types(self) -> ListScoringFunctionTypesResponse: 
+        """
+        List all available scoring function types information and how to use them. 
+        """
+        ...
 
     @webmethod(route="/scoring-functions/{scoring_fn_id:path}", method="GET")
     async def get_scoring_function(
         self,
         scoring_fn_id: str,
-    ) -> Optional[ScoringFn]: ...
+    ) -> Optional[ScoringFn]: 
+        """
+        Get a scoring function by its ID.
+        :param scoring_fn_id: The ID of the scoring function to get.
+        """
+        ...
 
     @webmethod(route="/scoring-functions", method="POST")
     async def register_scoring_function(
@@ -267,3 +297,14 @@ class ScoringFunctions(Protocol):
             - E.g. {"description": "This scoring function is used for ..."}
         """
         ...
+    
+    @webmethod(route="/scoring-functions/{scoring_fn_id:path}", method="DELETE")
+    async def unregister_scoring_function(
+        self,
+        scoring_fn_id: str,
+    ) -> None: 
+        """
+        Unregister a scoring function by its ID.
+        :param scoring_fn_id: The ID of the scoring function to unregister.
+        """
+        ...