phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-08-07 19:12:09 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

scoring updates

Browse source
This commit is contained in:
Xi Yan 2025-03-12 21:58:49 -07:00
parent 3a87562e8d
commit 25710c3b8a
3 changed files with 6 additions and 6 deletions
Download patch file Download diff file Expand all files Collapse all files

4
docs/_static/llama-stack-spec.html vendored
View file

@ -3620,7 +3620,7 @@
} }
} }
}, },
"/v1/scoring/score": { "/v1/scoring/rows": {
"post": { "post": {
"responses": { "responses": {
"200": { "200": {
@ -3663,7 +3663,7 @@
} }
} }
}, },
"/v1/scoring/score-batch": { "/v1/scoring/jobs": {
"post": { "post": {
"responses": { "responses": {
"200": { "200": {

4
docs/_static/llama-stack-spec.yaml vendored
View file

@ -2461,7 +2461,7 @@ paths:
schema: schema:
$ref: '#/components/schemas/SaveSpansToDatasetRequest' $ref: '#/components/schemas/SaveSpansToDatasetRequest'
required: true required: true
/v1/scoring/score: /v1/scoring/rows:
post: post:
responses: responses:
'200': '200':
@ -2491,7 +2491,7 @@ paths:
schema: schema:
$ref: '#/components/schemas/ScoreRequest' $ref: '#/components/schemas/ScoreRequest'
required: true required: true
/v1/scoring/score-batch: /v1/scoring/jobs:
post: post:
responses: responses:
'200': '200':

4
llama_stack/apis/scoring/scoring.py
View file

@ -55,14 +55,14 @@ class ScoringFunctionStore(Protocol):
class Scoring(Protocol): class Scoring(Protocol):
scoring_function_store: ScoringFunctionStore scoring_function_store: ScoringFunctionStore
@webmethod(route="/scoring/score-batch", method="POST") @webmethod(route="/scoring/jobs", method="POST")
async def score_dataset( async def score_dataset(
self, self,
dataset_id: str, dataset_id: str,
scoring_fn_ids: List[str], scoring_fn_ids: List[str],
) -> ScoreBatchResponse: ... ) -> ScoreBatchResponse: ...
@webmethod(route="/scoring/score", method="POST") @webmethod(route="/scoring/rows", method="POST")
async def score( async def score(
self, self,
dataset_rows: List[Dict[str, Any]], dataset_rows: List[Dict[str, Any]],