from meibelai import Meibelai
import os
with Meibelai(
api_key_header=os.getenv("MEIBELAI_API_KEY_HEADER", ""),
) as m_client:
res = m_client.confidence_scoring.get_scoring_job(job_id="<id>")
# Handle response
print(res){
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}Get a scoring job by ID. Returns 403 if the job does not belong to the caller’s customer.
from meibelai import Meibelai
import os
with Meibelai(
api_key_header=os.getenv("MEIBELAI_API_KEY_HEADER", ""),
) as m_client:
res = m_client.confidence_scoring.get_scoring_job(job_id="<id>")
# Handle response
print(res){
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}Documentation Index
Fetch the complete documentation index at: https://docs.meibel.ai/llms.txt
Use this file to discover all available pages before exploring further.
Was this page helpful?