Obtener artefactos de ejecución de evaluación

Python (SDK)

from meetkai_mka1 import SDK


with SDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:

    res = sdk.llm.evals.get_artifacts(run_id="eval_run_aa87e2b1112a455b8deabed784372198")

    # Handle response
    print(res)

{
  "object": "<unknown>",
  "run_id": "<string>",
  "result_file_id": "<string>",
  "samples_file_id": "<string>",
  "artifact_file_ids": [
    "<string>"
  ]
}

GET

api

llm

evals

runs

{run_id}

artifacts

Python (SDK)

from meetkai_mka1 import SDK


with SDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:

    res = sdk.llm.evals.get_artifacts(run_id="eval_run_aa87e2b1112a455b8deabed784372198")

    # Handle response
    print(res)

{
  "object": "<unknown>",
  "run_id": "<string>",
  "result_file_id": "<string>",
  "samples_file_id": "<string>",
  "artifact_file_ids": [
    "<string>"
  ]
}

Autorizaciones

Authorization

string

header

requerido

Gateway auth: send Authorization: Bearer <mka1-api-key>. For multi-user server-side integrations, you can also send X-On-Behalf-Of: <external-user-id>.

Encabezados

X-On-Behalf-Of

string

Optional external end-user identifier forwarded by the API gateway.

Parámetros de ruta

run_id

string

requerido

Respuesta

200 - application/json

Está bien

object

any

requerido

run_id

string

requerido

result_file_id

string | null

requerido

samples_file_id

string | null

requerido

artifact_file_ids

string[]

requerido

Lista de muestras de evaluación

Importar resultados de evaluación históricos de Hugging Face

⌘I